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  1. 107/paper.pdf +3 -0
  2. 107/replication_package/Code/MATLAB/compute_efficiency.m +204 -0
  3. 107/replication_package/Code/MATLAB/gymGame.m +358 -0
  4. 107/replication_package/Code/Stata/Appendix.do +696 -0
  5. 107/replication_package/Code/Stata/Figures.do +455 -0
  6. 107/replication_package/Code/Stata/Parameter estimates.do +1156 -0
  7. 107/replication_package/Code/Stata/Tables.do +708 -0
  8. 107/replication_package/Code/master_do_file_for_analysis.do +41 -0
  9. 107/replication_package/Code/run_simulations.m +1205 -0
  10. 107/replication_package/Data/cleaned_commitment_study_daily_data.dta +3 -0
  11. 107/replication_package/Data/cleaned_commitment_study_data.dta +3 -0
  12. 107/replication_package/Experimental Materials/Study Instructions Appendix.pdf +3 -0
  13. 107/replication_package/Experimental Materials/Who_Chooses_Commitment.qsf +0 -0
  14. 107/replication_package/LICENSE.txt +3 -0
  15. 107/replication_package/Other/Images/appendix_survey_waves.PNG +3 -0
  16. 107/replication_package/Other/Images/theory_graph.pdf +3 -0
  17. 107/replication_package/Other/commitment.bib +1414 -0
  18. 107/replication_package/Other/econ-aea.bst +3600 -0
  19. 107/replication_package/Output/CCBeliefs2.tex +14 -0
  20. 107/replication_package/Output/CCcorrelates.tex +14 -0
  21. 107/replication_package/Output/CCtakeupVbeliefs.tex +14 -0
  22. 107/replication_package/Output/DailyAttIncr.tex +17 -0
  23. 107/replication_package/Output/Formatted output/CCBeliefs2.tex +14 -0
  24. 107/replication_package/Output/Formatted output/CC_literature_table.tex +83 -0
  25. 107/replication_package/Output/Formatted output/CCcorrelates.tex +14 -0
  26. 107/replication_package/Output/Formatted output/CCtable.tex +6 -0
  27. 107/replication_package/Output/Formatted output/CCtable_control.tex +6 -0
  28. 107/replication_package/Output/Formatted output/CCtable_treatment.tex +6 -0
  29. 107/replication_package/Output/Formatted output/CCtakeupVbeliefs.tex +14 -0
  30. 107/replication_package/Output/Formatted output/Exp_Corr.tex +14 -0
  31. 107/replication_package/Output/Formatted output/Exp_Rates.tex +15 -0
  32. 107/replication_package/Output/Formatted output/uniformrange.pdf +3 -0
  33. 107/replication_package/Output/appendix_descriptive_stats.tex +35 -0
  34. 107/replication_package/Output/bcp_on_behavior_change.tex +17 -0
  35. 107/replication_package/Output/bcp_on_risk_aversion.tex +18 -0
  36. 107/replication_package/Output/commit_delta.tex +16 -0
  37. 107/replication_package/Output/commit_delta_control.tex +16 -0
  38. 107/replication_package/Output/commit_delta_info.tex +16 -0
  39. 107/replication_package/Output/daily_att_likelihood.pdf +3 -0
  40. 107/replication_package/Output/daily_att_prob_commit12.pdf +3 -0
  41. 107/replication_package/Output/deltas.pdf +3 -0
  42. 107/replication_package/Output/exp_actual_under_incentive.pdf +3 -0
  43. 107/replication_package/Output/numbers.tex +113 -0
  44. 107/replication_package/Output/numbers_struct.tex +214 -0
  45. 107/replication_package/Output/numbers_struct_appx.tex +402 -0
  46. 107/replication_package/Output/overconfidence.pdf +3 -0
  47. 107/replication_package/Output/overconfidence_estimates.pdf +3 -0
  48. 107/replication_package/Output/overconfidence_estimatesV.pdf +3 -0
  49. 107/replication_package/Output/overconfidence_estimatesX.pdf +3 -0
  50. 107/replication_package/Output/overconfidence_estimates_commit12.pdf +3 -0
107/paper.pdf ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2041794b3f9a716c71d0e965d69dad971ec9bd464e10f2586f1f600f06be99ff
3
+ size 1302997
107/replication_package/Code/MATLAB/compute_efficiency.m ADDED
@@ -0,0 +1,204 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ function results = compute_efficiency(commit_models,no_commit_models, ...
2
+ no_p_commit_models)
3
+ % compute efficiency of behavior change & other outcomes from the
4
+ % commitment contract and two piece-rate incentives
5
+
6
+ n = length(commit_models);
7
+
8
+ % compute average change in attendance from the contract
9
+ delta_a_Cs = [];
10
+ avg_delta_a_C = 0;
11
+ for i = 1:n
12
+
13
+ avg_delta_a_C = avg_delta_a_C + (commit_models(i).mu .* ...
14
+ (commit_models(i).avg_att - no_p_commit_models(i).avg_att));
15
+ delta_a_Cs = [delta_a_Cs, commit_models(i).avg_att - no_p_commit_models(i).avg_att];
16
+
17
+ end
18
+ results.avg_delta_a_C = avg_delta_a_C;
19
+
20
+ % compute average period 1 incremental welfare from the contract
21
+ avg_delta_surplus = 0;
22
+ for i = 1:n
23
+
24
+ avg_delta_surplus = avg_delta_surplus + (commit_models(i).mu .* ...
25
+ (commit_models(i).t1_utility - no_p_commit_models(i).t1_utility));
26
+
27
+ end
28
+ results.avg_delta_surplus = avg_delta_surplus;
29
+
30
+ % compute the surplus just for those who took up the contract
31
+ mu_commit = 0;
32
+ for i = 1:n
33
+ mu_commit = mu_commit + commit_models(i).mu;
34
+ end
35
+ results.commit_delta_surplus = avg_delta_surplus / mu_commit;
36
+
37
+
38
+ % compute average change in expected benefits from the contract
39
+ avg_delta_benefits = 0;
40
+ for i = 1:n
41
+
42
+ avg_delta_benefits = avg_delta_benefits + ...
43
+ (commit_models(i).mu .* commit_models(i).b .* ...
44
+ (commit_models(i).avg_att - no_p_commit_models(i).avg_att));
45
+
46
+ end
47
+ results.avg_delta_benefits = avg_delta_benefits;
48
+
49
+
50
+ % compute average change in expected costs from the contract
51
+ avg_delta_costs = 0;
52
+ for i = 1:n
53
+
54
+ avg_delta_costs = avg_delta_costs + (commit_models(i).mu .* ...
55
+ (commit_models(i).avg_costs - no_p_commit_models(i).avg_costs));
56
+
57
+ end
58
+ results.avg_delta_costs = avg_delta_costs;
59
+
60
+
61
+ % compute efficiency of behavior change from the commitment contract
62
+ results.V_E = results.avg_delta_benefits - results.avg_delta_costs;
63
+
64
+
65
+ % compute the optimal r
66
+ syms r
67
+ eqns_n = []; % placeholder for numerator
68
+ eqns_d = []; % placeholder for denominator
69
+ for k = 1:n
70
+
71
+ eqns_n = [ eqns_n; commit_models(k).mu .* (1 - commit_models(k).beta) .* ...
72
+ commit_models(k).b .* commit_models(k).beta .* ...
73
+ commit_models(k).f(commit_models(k).beta .* (commit_models(k).b + r)) ];
74
+
75
+ eqns_n = [ eqns_n; no_commit_models(k).mu .* (1 - no_commit_models(k).beta) .* ...
76
+ no_commit_models(k).b .* no_commit_models(k).beta .* ...
77
+ no_commit_models(k).f(no_commit_models(k).beta .* (no_commit_models(k).b + r)) ];
78
+
79
+ eqns_d = [ eqns_d; commit_models(k).mu .* (commit_models(k).beta .^ 2) .* ...
80
+ commit_models(k).f(commit_models(k).beta .* (commit_models(k).b + r)) ];
81
+
82
+ eqns_d = [ eqns_d; no_commit_models(k).mu .* (no_commit_models(k).beta .^ 2) .* ...
83
+ no_commit_models(k).f(no_commit_models(k).beta .* (no_commit_models(k).b + r)) ];
84
+
85
+ end
86
+ r_opt = vpasolve(sum(eqns_n) ./ sum(eqns_d) == r, r);
87
+ results.r_opt = double(r_opt);
88
+
89
+
90
+ % compute outcomes under r_opt
91
+ results.U_E_r_opt = compute_incentive_efficiency(results.r_opt, ...
92
+ commit_models, no_commit_models);
93
+ [results.delta_surplus_r_opt, results.delta_benefits_r_opt, ...
94
+ results.delta_costs_r_opt, results.delta_att_r_opt] = ...
95
+ compute_incentive_outcomes(results.r_opt, ...
96
+ commit_models, no_commit_models);
97
+
98
+
99
+ % find the r that generates the same expected change in attendance
100
+ syms r
101
+ eqns = [];
102
+ for k = 1:n
103
+
104
+ eqns = [ eqns; (commit_models(k).mu .* ...
105
+ (commit_models(k).F(commit_models(k).beta .* ...
106
+ (commit_models(k).b + r)) ...
107
+ - commit_models(k).F(commit_models(k).beta .* ...
108
+ commit_models(k).b))) ];
109
+
110
+ eqns = [ eqns; (no_commit_models(k).mu .* ...
111
+ (no_commit_models(k).F(no_commit_models(k).beta .* ...
112
+ (no_commit_models(k).b + r)) ...
113
+ - no_commit_models(k).F(no_commit_models(k).beta .* ...
114
+ no_commit_models(k).b))) ];
115
+
116
+ end
117
+ r_att = vpasolve(commit_models(1).T .* sum(eqns) == avg_delta_a_C, r);
118
+ results.r_att = double(r_att);
119
+
120
+
121
+ % compute outcomes under r_att
122
+ results.U_E_r_att = compute_incentive_efficiency(results.r_att, ...
123
+ commit_models, no_commit_models);
124
+ [results.delta_surplus_r_att, results.delta_benefits_r_att, ...
125
+ results.delta_costs_r_att, results.delta_att_r_att] = ...
126
+ compute_incentive_outcomes(results.r_att, ...
127
+ commit_models, no_commit_models);
128
+
129
+ end
130
+
131
+ %% Helper functions
132
+
133
+ function U_E = compute_incentive_efficiency(r, commit_models, ...
134
+ no_commit_models)
135
+ % compute the efficiency of behavior change under incentive r
136
+
137
+ N = length(commit_models);
138
+ U_E = 0;
139
+ inc = [r 0];
140
+ for j = 1:N
141
+
142
+ commit_models(j) = commit_models(j).compute_incentive_behavior(inc);
143
+ U_E = U_E + commit_models(j).mu .* ...
144
+ (commit_models(j).net_surplus_r(1) - ...
145
+ commit_models(j).net_surplus_r(2));
146
+
147
+ no_commit_models(j) = no_commit_models(j).compute_incentive_behavior(inc);
148
+ U_E = U_E + no_commit_models(j).mu .* ...
149
+ (no_commit_models(j).net_surplus_r(1) - ...
150
+ no_commit_models(j).net_surplus_r(2));
151
+
152
+ end
153
+
154
+ end
155
+
156
+ function [delta_surplus, delta_benefits, delta_costs, delta_a_r] = ...
157
+ compute_incentive_outcomes(r, commit_models, no_commit_models)
158
+ % compute the expected change in agent surplus, benefits, and costs
159
+ % under incentive r
160
+
161
+ N = length(commit_models);
162
+ delta_surplus = 0;
163
+ delta_benefits = 0;
164
+ delta_costs = 0;
165
+ delta_a_r = 0;
166
+ inc = [r 0];
167
+ for j = 1:N
168
+
169
+ commit_models(j) = commit_models(j).compute_incentive_behavior(inc);
170
+ no_commit_models(j) = no_commit_models(j).compute_incentive_behavior(inc);
171
+
172
+ % expected change in agent surplus
173
+ delta_surplus = delta_surplus + commit_models(j).mu .* ...
174
+ (commit_models(j).surplus_r(1) - ...
175
+ commit_models(j).surplus_r(2));
176
+ delta_surplus = delta_surplus + no_commit_models(j).mu .* ...
177
+ (no_commit_models(j).surplus_r(1) - ...
178
+ no_commit_models(j).surplus_r(2));
179
+
180
+ % expected change in health benefits
181
+ delta_benefits = delta_benefits + commit_models(j).mu .* ...
182
+ (commit_models(j).benefits_r(1) - ...
183
+ commit_models(j).benefits_r(2));
184
+ delta_benefits = delta_benefits + no_commit_models(j).mu .* ...
185
+ (no_commit_models(j).benefits_r(1) - ...
186
+ no_commit_models(j).benefits_r(2));
187
+
188
+ % expected change in costs
189
+ delta_costs = delta_costs + commit_models(j).mu .* ...
190
+ (commit_models(j).costs_r(1) - ...
191
+ commit_models(j).costs_r(2));
192
+ delta_costs = delta_costs + no_commit_models(j).mu .* ...
193
+ (no_commit_models(j).costs_r(1) - ...
194
+ no_commit_models(j).costs_r(2));
195
+
196
+ % expected change in attendance
197
+ delta_a_r = delta_a_r + commit_models(j).mu .* ...
198
+ commit_models(j).change_att_r(1);
199
+ delta_a_r = delta_a_r + no_commit_models(j).mu .* ...
200
+ no_commit_models(j).change_att_r(1);
201
+
202
+ end
203
+
204
+ end
107/replication_package/Code/MATLAB/gymGame.m ADDED
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1
+ classdef gymGame
2
+ % Defines the outcomes of a T period game with a commitment contract
3
+ % that imposes penalty p if a_star attendances are not achieved, or
4
+ % instead with a piece-rate incentive of r per attendance
5
+
6
+ properties
7
+
8
+ % Game properties
9
+ T; % number of periods in game
10
+ a_star; % commitment contract attendance threshold
11
+ p; % commitment contract penalty
12
+ r; % per attendance reward
13
+
14
+ % Parameters for individuals taking up the contract
15
+ lambda; % 1/mean of exponential cost distribution
16
+ min_cost; % lower bound on support of cost distribution
17
+ beta; % actual present focus
18
+ betatilde; % perceived present focus
19
+ b; % health benefit
20
+ mu; % fraction of people taking up the contract
21
+
22
+ % Outcomes under commitment contract
23
+ utilities; % utilities in each period for each g
24
+ t1_utility; % period 1 utility
25
+ utilities_tilde; % perceived utilities in each future period
26
+ att; % distribution of attendances in simulation
27
+ avg_att; % average attendance in simulation
28
+ avg_costs; % average aggregate costs incurred
29
+ avg_t1_att; % average first period attendance
30
+ prob_success; % likelihood of meeting threshold in simulation
31
+ prob_att_c_b; % likelihood of attending when cost > benefit
32
+ prob_att_day; % likelihood of attending each day
33
+
34
+ % Outcomes under piece-rate incentive(s)
35
+ prob_att_r; % probability of attending on a given day
36
+ att_r; % expected attendance under incentive r
37
+ change_att_r; % expected increase in attendance due to r
38
+ benefits_r; % expected health benefits under incentive r
39
+ costs_r; % expected costs under incentive r
40
+ net_surplus_r; % surplus under incentive r, net of incentive
41
+ surplus_r; % total surplus under incentive r
42
+
43
+ % Identifier
44
+ spec;
45
+
46
+ end
47
+
48
+ properties (Constant)
49
+
50
+ seed = 12345; % seed for simulation
51
+ rounds = 10000; % number of iterations of the simulation
52
+
53
+ end
54
+
55
+
56
+ methods
57
+
58
+ function obj = gymGame(properties, parameters, min_cost, title)
59
+
60
+ % input properties
61
+ obj.T = properties.T;
62
+ obj.a_star = properties.a_star;
63
+ obj.p = properties.p;
64
+
65
+ % set parameters from data
66
+ obj.lambda = parameters.lambda;
67
+ obj.min_cost = min_cost;
68
+ obj.beta = parameters.beta;
69
+ obj.betatilde = parameters.betatilde;
70
+ obj.b = parameters.b;
71
+ obj.mu = parameters.mu;
72
+
73
+ % set identifier
74
+ obj.spec = title;
75
+
76
+ % compute matrix of utilities
77
+ obj = obj.compute_utilities();
78
+
79
+ % simulate behavior of participants
80
+ obj = obj.simulate_behavior();
81
+
82
+ end
83
+
84
+ function obj = compute_utilities(obj)
85
+
86
+ V_n = NaN([obj.a_star+1 obj.T]);
87
+ V_tilde = NaN([obj.a_star+1 obj.T]);
88
+
89
+ % set last period utilities
90
+ for g = 0:obj.a_star
91
+ g1 = g + 1; % 1-indexed
92
+ V_n(g1,obj.T) = obj.compute_T_utility(g, 'actual');
93
+ V_tilde(g1,obj.T) = obj.compute_T_utility(g, 'perceived');
94
+ end
95
+
96
+ % set all other period utilities
97
+ for period = 1:obj.T-1
98
+
99
+ t = obj.T - period; % go backwards
100
+ start = max(obj.a_star - t + 1, 0);
101
+
102
+ % iterate through remaining attendances
103
+ for g = start:obj.a_star
104
+ g1 = g + 1; % 1-indexed
105
+
106
+ % expected utility difference from attending
107
+ delta_V_tilde = V_tilde(max(g1-1,1),t+1) - V_tilde(g1,t+1);
108
+ delta_V_n = V_n(max(g1-1,1),t+1) - V_n(g1,t+1);
109
+
110
+ % perceived expected utility at period t
111
+ V_tilde(g1,t) = (obj.F(obj.betatilde.*(obj.b + delta_V_tilde)).* ...
112
+ (obj.b + delta_V_tilde)) + V_tilde(g1,t+1) - ...
113
+ obj.C(obj.betatilde.*(obj.b + delta_V_tilde));
114
+
115
+ % actual expected utility at period t
116
+ V_n(g1,t) = (obj.F(obj.beta.*(obj.b + delta_V_tilde)).* ...
117
+ (obj.b + delta_V_n)) + V_n(g1,t+1) - ...
118
+ obj.C(obj.beta.*(obj.b + delta_V_tilde));
119
+
120
+ end
121
+
122
+ end
123
+
124
+ obj.utilities = V_n;
125
+ obj.t1_utility = V_n(obj.a_star+1,1); % period 1 utility
126
+ obj.utilities_tilde = V_tilde;
127
+
128
+ end
129
+
130
+ function V_T = compute_T_utility(obj, g, focus)
131
+ % compute utility in the last period
132
+
133
+ % set present focus parameter
134
+ if strcmp(focus, 'actual')
135
+
136
+ B = obj.beta;
137
+
138
+ elseif strcmp(focus, 'perceived')
139
+
140
+ B = obj.betatilde;
141
+
142
+ end
143
+
144
+ if g == 0 % no attendances left
145
+
146
+ V_T = (obj.F(B.*obj.b).*obj.b) - obj.C(B.*obj.b);
147
+
148
+ elseif g == 1 % one attendance left
149
+
150
+ V_T = (obj.F(B.*(obj.b + obj.p)).*obj.b) - ...
151
+ obj.C(B.*(obj.b + obj.p)) - ...
152
+ ((1 - obj.F(B.*(obj.b + obj.p))).*obj.p);
153
+
154
+ else % more than one attendance left
155
+
156
+ V_T = (obj.F(B.*obj.b).*obj.b) - obj.C(B.*obj.b) - obj.p;
157
+ end
158
+
159
+ end
160
+
161
+ function obj = simulate_behavior(obj)
162
+ % simulate behavior through T periods for a number of rounds to
163
+ % generate estimates of average attendance and the likelihood
164
+ % of meeting the contract threshold
165
+
166
+ rng(obj.seed); % set seed
167
+ obj.att = zeros(1,obj.rounds); % default no attendances
168
+ t1_att = obj.att;
169
+ att_day = zeros(obj.T,obj.rounds); % default no attendances
170
+ costs_day = zeros(obj.T,obj.rounds); % default no costs
171
+ met_goal = zeros(1,obj.rounds); % default failed to meet goal
172
+ obj.prob_att_c_b = zeros(1,obj.rounds); % default never attend
173
+
174
+ for round = 1:obj.rounds
175
+
176
+ c = obj.cost_draws(); % generate cost draws
177
+ g = obj.a_star; % all attendances initially left
178
+ a = 0; % total number of attendances
179
+ c_b = 0; % events where cost > benefit
180
+ att_c_b = 0; % attendance in those events
181
+
182
+ % check if the DM wants to go to the gym in each period
183
+ for t = 1:obj.T
184
+ g1 = g + 1; % 1-indexed
185
+
186
+ if t == obj.T && (g == 0 || g >= 2) % last period, case i
187
+
188
+ if c(t) <= (obj.beta * obj.b)
189
+
190
+ % update attendances & costs incurred
191
+ g = max(g - 1, 0);
192
+ a = a + 1;
193
+ att_day(t,round) = 1;
194
+ costs_day(t,round) = c(t);
195
+
196
+ if c(t) > obj.b
197
+ % cost is greater than benefit
198
+ att_c_b = att_c_b + 1;
199
+ end
200
+
201
+ end
202
+
203
+ elseif t == obj.T && g == 1 % last period, case ii
204
+
205
+ if c(t) <= (obj.beta * (obj.b + obj.p))
206
+
207
+ % update attendances & costs incurred
208
+ g = max(g - 1, 0);
209
+ a = a + 1;
210
+ att_day(t,round) = 1;
211
+ costs_day(t,round) = c(t);
212
+
213
+ if c(t) > obj.b
214
+ % cost is greater than benefit
215
+ att_c_b = att_c_b + 1;
216
+ end
217
+
218
+ end
219
+
220
+ else % all other periods
221
+
222
+ if c(t) <= (obj.beta * (obj.b + ...
223
+ obj.utilities_tilde(max(g1-1,1),t+1) - ...
224
+ obj.utilities_tilde(g1,t+1)))
225
+
226
+ % update attendances & costs incurred
227
+ g = max(g - 1, 0);
228
+ a = a + 1;
229
+ att_day(t,round) = 1;
230
+ costs_day(t,round) = c(t);
231
+
232
+ if c(t) > obj.b
233
+ % cost is greater than benefit
234
+ att_c_b = att_c_b + 1;
235
+ end
236
+
237
+ end
238
+
239
+ end
240
+
241
+ if c(t) > obj.b
242
+ % cost is greater than benefit
243
+
244
+ c_b = c_b + 1;
245
+
246
+ end
247
+
248
+ if t == 1 && g < obj.a_star
249
+ % period one attendances
250
+
251
+ t1_att(round) = 1;
252
+
253
+ end
254
+
255
+ end
256
+
257
+ if g == 0
258
+
259
+ met_goal(round) = 1; % input outcome
260
+
261
+ end
262
+
263
+ obj.att(round) = a; % input attendances
264
+ obj.prob_att_c_b(round) = att_c_b ./ c_b;
265
+
266
+ end
267
+
268
+ % return means
269
+ obj.avg_att = mean(obj.att);
270
+ obj.avg_t1_att = mean(t1_att);
271
+ obj.prob_success = mean(met_goal);
272
+ obj.prob_att_c_b = mean(obj.prob_att_c_b);
273
+ obj.prob_att_day = sum(att_day,2) ./ obj.rounds;
274
+ obj.avg_costs = mean(sum(costs_day,1));
275
+
276
+ end
277
+
278
+ function obj = compute_incentive_behavior(obj, r)
279
+ % compute expected attendance and total surplus given
280
+ % piece-rate incentive r
281
+
282
+ obj.r = r;
283
+
284
+ % compute expected attendance on a given day
285
+ obj.prob_att_r = obj.F(obj.beta .* (obj.b + r));
286
+ prob_att_no_r = obj.F(obj.beta .* (obj.b)); % without incentive
287
+
288
+ % compute expected attendance
289
+ obj.att_r = obj.T .* obj.prob_att_r;
290
+
291
+ % compute expected increase in attendance
292
+ obj.change_att_r = obj.T .* (obj.prob_att_r - prob_att_no_r);
293
+
294
+ % compute expected benefits
295
+ obj.benefits_r = obj.att_r .* obj.b;
296
+
297
+ % compute expected costs
298
+ obj.costs_r = obj.T .* obj.C(obj.beta .* (obj.b + r));
299
+
300
+ % compute surplus net of incentive
301
+ obj.net_surplus_r = obj.benefits_r - obj.costs_r;
302
+
303
+ % compute total surplus
304
+ obj.surplus_r = obj.net_surplus_r + (obj.att_r .* r);
305
+
306
+ end
307
+
308
+ function probability = F(obj, x)
309
+ % cumulative distribution function of costs
310
+
311
+ z = x - obj.min_cost;
312
+ z = gymGame.minzero(z);
313
+ probability = 1 - exp(-obj.lambda.*z);
314
+
315
+ end
316
+
317
+ function density = f(obj, x)
318
+ % cost density function
319
+ % returns zero when given x < lower bound on costs
320
+
321
+ z = x - obj.min_cost;
322
+ density = obj.lambda.*exp(-obj.lambda.*z);
323
+ density = density.*heaviside(heaviside(z));
324
+
325
+ end
326
+
327
+ function expectation = C(obj, x)
328
+ % expected cost function
329
+
330
+ z = x - obj.min_cost;
331
+ z = gymGame.minzero(z);
332
+ expectation = (1 ./ obj.lambda).*(1 - exp(-obj.lambda.*z)) ...
333
+ - (z.*exp(-obj.lambda.*z)) + obj.min_cost.*obj.F(x);
334
+
335
+ end
336
+
337
+ function c = cost_draws(obj)
338
+ % vector of random cost draws for each period
339
+
340
+ mean = 1 ./ obj.lambda;
341
+ c = exprnd(mean, [1 obj.T]) + obj.min_cost;
342
+
343
+ end
344
+
345
+ end
346
+
347
+ methods(Static)
348
+
349
+ function y = minzero(x)
350
+ % returns x if x is positive, 0 otherwise
351
+
352
+ y = x .* heaviside(heaviside(x));
353
+
354
+ end
355
+
356
+ end
357
+
358
+ end
107/replication_package/Code/Stata/Appendix.do ADDED
@@ -0,0 +1,696 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ *** APPENDIX TABLES FOR Carrera, Royer, Stehr, Sydnor, and Taubinsky (2021) ***
2
+ *******************************************************************************
3
+
4
+ *** Initial set-up ***
5
+ clear
6
+ set more off
7
+
8
+ *** Set directories for data and output ***
9
+ cd "$main/Output"
10
+ /* Note: all tables will output to the working directory. Uses a program from
11
+ master_do_file_for_analysis.do */
12
+
13
+
14
+ *** Load and clean experimental data ******************************************
15
+
16
+ *** Load dataset ***
17
+ use "$main/Data/cleaned_commitment_study_data", clear
18
+
19
+ *** Variable Creation & Cleaning Steps ***
20
+ *** Create an ID variable for use when reshaping long
21
+ gen id = _n
22
+
23
+ *** Generate info treatment indicators
24
+ gen first_info = type_of_info=="1-onlygraph"
25
+ gen new_info = type_of_info=="2-graphplus"
26
+ gen control_info = (new_info == 0 & first_info == 0)
27
+
28
+ *** Generate wave indicators
29
+ gen wave1 = (wave == "fall")
30
+ gen wave2 = (wave == "winter")
31
+ gen wave3 = (wave == "spring")
32
+
33
+ *** Define anticommitment/commitment variables for each threshold
34
+ gen anticommit8 = q170 ==2 if q170<.
35
+ gen commit8 = q169 ==2 if q169<.
36
+ gen anticommit12 = chose_anticommit11
37
+ gen commit12 = chose_commit12
38
+ gen anticommit16 = q296==2 if q296<.
39
+ gen commit16 = q295 ==2 if q295<.
40
+
41
+ *** Rescale percent variable
42
+ foreach var of varlist percent*{
43
+ replace `var' = `var'/100
44
+ }
45
+
46
+ *** Restrict sample to those exogenously assigned incentives
47
+ keep if flag_low_wtp == 0 & flag_exclude_exog == 0
48
+
49
+
50
+ *** Descriptive Statistics (table_descriptive.tex) *****************************
51
+
52
+ *** Generate variables and labels for the table ***
53
+ gen ft_student = student==1 if student<.
54
+ gen ft_working = working==1 if working<.
55
+ gen fpt_working = working<3 if working<.
56
+ gen advanced_degree = educ==5
57
+ replace married = married==1 if married<.
58
+ recode age (1 = 24) (2=35.5 ) (3=45.5) (4=57.5) (5=70) , gen(imp_age)
59
+ recode income_cat (1 = 18000) (2=37500 ) (3=75500) (4=150000) (5=.) , gen(imp_inc)
60
+
61
+ label var female "Female"
62
+ label var imp_inc "Household income$^a$"
63
+ label var married "Married"
64
+ label var ft_student "Student, full-time"
65
+ label var fpt_working "Working, full- or part-time"
66
+ label var advanced "Advanced degree$^b$"
67
+ label var imp_age "Age$^a$"
68
+ label var past4 "Visits in the past 4 weeks, recorded"
69
+ label var visits_100 "Visits, recorded"
70
+ label var past100days_went "Visits, self-recollection"
71
+ label var past100days_should "Days that \textit{I should have gone, but didn't}"
72
+ label var days_0 "Best guess of days I will attend in next 4 weeks"
73
+ label var goal "Goal for visits"
74
+ label var flag_confusion "Indicator for inattention during survey"
75
+
76
+ gen any_info = 0
77
+ replace any_info=1 if first_info==1 | new_info==1
78
+ gen rowvar = .
79
+
80
+ *** Produce statistics for the table ***
81
+ local counter=0
82
+ eststo clear
83
+ foreach var of varlist female imp_age ft_student fpt_working married advanced_degree imp_inc past4{
84
+ local counter=`counter'+1
85
+ local varlabel: var label `var'
86
+ label var rowvar "`varlabel'"
87
+ replace rowvar=1
88
+
89
+ eststo model0, title(""): xi: reg `var' rowvar, noconst
90
+ replace rowvar = any_info
91
+ *estadd matrix p = (.), replace
92
+
93
+ eststo model1, title(""): xi: reg `var' rowvar if wave1==1, robust
94
+
95
+ reg `var' rowvar if wave1==0, robust
96
+ eststo model2, title("")
97
+
98
+ *** Export table
99
+ if `counter'==1 {
100
+ estout model0 model1 model2 using "table_descriptive.tex", style(tex) label cells((b( fmt(%9.3f) label("\shortstack{Wave 1 \\ (2)}") pattern(0 1 0)) b( fmt(%9.3f) label("\shortstack{Waves 2-3 \\ (4)}") pattern(0 0 1)) b( fmt(%9.3f) label("\shortstack{Waves 1-3 \\ (1)}") pattern(1 0 0)) p(fmt(%9.2f) pattern(0 1 0) label("\shortstack{P-value \\ (3)}")) p(fmt(%9.2f) pattern(0 0 1) label("\shortstack{P-value \\ (5)}")))) drop(_cons ) margin replace ///
101
+ title(Descriptive Statistics) mgroups("\shortstack{ \\ Overall mean}" "\shortstack{ \\ Difference in means:\\ Treatment $-$ control}" , pattern(1 1 0) ///
102
+ span prefix(\multicolumn{@span}{c}{) suffix(})) ///
103
+ mlabels("" "" "") msign(--) starlevels(* 0.1 ** 0.05 *** 0.01) ///
104
+ prehead( "\begin{tabular}{l*{6}{c}}" "\hline" "\addlinespace") ///
105
+ posthead("\hline" "\addlinespace") substitute(_ \_)
106
+ }
107
+
108
+ else if `counter'==7 {
109
+ estout model0 model1 model2 using "table_descriptive.tex", style(tex) mlabels("" "" "") label cells((b( fmt(%9.0fc)) p(fmt(%9.2f) pattern(0 1 1)))) drop(_cons) margin append eqlabels(none) ///
110
+ msign(--) starlevels(* 0.1 ** 0.05 *** 0.01) collabels(,none) prefoot() substitute(_ \_)
111
+ }
112
+
113
+ else if `counter'==8 {
114
+ estout model0 model1 model2 using "table_descriptive.tex", style(tex) mlabels("" "" "") label cells((b( fmt(%9.2f)) p(pattern(0 1 1)))) drop(_cons) margin append eqlabels(none) ///
115
+ msign(--) starlevels(* 0.1 ** 0.05 *** 0.01) collabels(,none) prefoot() substitute(_ \_) ///
116
+ postfoot("\hline" "\addlinespace" "N & 1,248 & \multicolumn{2}{c}{\shortstack{166 control \\ 174 treated}} & \multicolumn{2}{c}{\shortstack{456 control \\ 452 treated}} \\ " "\hline\hline" "\end{tabular}")
117
+ }
118
+ else if `counter'>=3 & `counter'<=6{
119
+ estout model0 model1 model2 using "table_descriptive.tex", style(tex) mlabels("" "" "") label cells((b( fmt(%9.3f)) p(fmt(%9.2f) pattern(0 1 1)))) drop(_cons) margin append eqlabels(none) ///
120
+ msign(--) starlevels(* 0.1 ** 0.05 *** 0.01) collabels(,none) substitute(_ \_)
121
+ }
122
+ else {
123
+ estout model0 model1 model2 using "table_descriptive.tex", style(tex) mlabels("" "" "") label cells((b( fmt(%9.2f)) p(pattern(0 1 1)))) drop(_cons) margin append eqlabels(none) ///
124
+ msign(--) starlevels(* 0.1 ** 0.05 *** 0.01) collabels(,none) substitute(_ \_)
125
+ }
126
+ }
127
+ .
128
+ /* Note: the number of observations was manually entered; N = 1,248;
129
+ Wave 1: 166 Control and 174 Treated; and Waves 2-3: 456 Control and 452 Treated */
130
+
131
+
132
+ *** (commit_delta{,_info,_control}.tex) ***************************************
133
+
134
+ *** Generate additional variables and reshape data ***
135
+ /*** These variables are the amounts, per attendance, by which a person
136
+ "overpays" for the increase in incentive. Second-order approximation */
137
+ gen delta1=(wtp1) - (days_1+days_0)/2
138
+ gen delta2 = (wtp2-wtp1) - (days_2+days_1)/2
139
+ gen delta3=(wtp3-wtp2) - (days_3+days_2)/2
140
+ gen delta5=(wtp5-wtp3)/(5-3) - (days_5+days_3)/2
141
+ gen delta7=(wtp7-wtp5)/(7-5) - (days_7+days_5)/2
142
+ gen delta12=(wtp12-wtp7)/(12-7) - (days_12+days_7)/2
143
+ gen avg_delta_ex1 = (delta2 + delta3 + delta5 + delta7 + delta12)/5
144
+
145
+ *** Change in days of expected attendance by incentive
146
+ gen diffa1=(days_1-days_0)
147
+ gen diffa2=(days_2-days_1)
148
+ gen diffa3=(days_3-days_2)
149
+ gen diffa5=(days_5-days_3)/2
150
+ gen diffa7=(days_7-days_5)/2
151
+ gen diffa12=(days_12-days_7)/5
152
+
153
+ *** Generate z-score and mean ***
154
+ quietly sum avg_delta_ex1
155
+ gen z_avg_delta_ex1 = (avg_delta_ex1 - r(mean))/r(sd)
156
+ loc mean : di %4.2f r(mean)
157
+ loc sd : di %4.2f r(sd)
158
+ latex_write wtpbcmean `mean' numbers
159
+ latex_write wtpbcsd `sd' numbers
160
+
161
+ *** Regress behavior change premium on commitment contract take-up ***
162
+ loc k = 1
163
+ foreach restriction in "" "if new_info == 1" "if control_info == 1"{
164
+
165
+ forval j = 8(4)16{
166
+
167
+ * Run regression under treatment restriction
168
+ regress commit`j' z_avg_delta_ex1 wave2 wave3 `restriction', ///
169
+ vce(cluster id)
170
+ est store est_cd_`k'
171
+ loc ++k
172
+
173
+ * Store mean & fixed effects information
174
+ ci means commit`j' if e(sample)
175
+ local m : di %4.2f r(mean)
176
+ local se : di %4.2f r(se)
177
+ estadd local dvmean `m'
178
+ estadd local dvse "(`se')"
179
+ estadd local wavefe "Yes"
180
+ estadd local ccfe "No"
181
+
182
+ }
183
+
184
+ }
185
+
186
+ preserve
187
+
188
+ * Reshape data and run regressions
189
+ reshape long commit commitnotanti, i(id) j(t)
190
+ foreach restriction in "" "if new_info == 1" "if control_info == 1"{
191
+
192
+ * Run regression under treatment restriction
193
+ regress commit z_avg_delta_ex1 i.t wave2 wave3 `restriction', ///
194
+ vce(cluster id)
195
+ est store est_cd_`k'
196
+ loc ++k
197
+
198
+ * Store mean & fixed effects information
199
+ ci means commit if e(sample)
200
+ local m : di %4.2f r(mean)
201
+ local se : di %4.2f r(se)
202
+ estadd local dvmean `m'
203
+ estadd local dvse "(`se')"
204
+ estadd local wavefe "Yes"
205
+ estadd local ccfe "Yes"
206
+
207
+ }
208
+
209
+ restore
210
+
211
+ *** Export tables
212
+ estout est_cd_1 est_cd_2 est_cd_3 est_cd_10 using "commit_delta.tex", style(tex) margin replace eqlabels(none) ///
213
+ order(z_avg_delta_ex1) keep(z_avg_delta_ex1) wrap varwidth(25) ///
214
+ mgroups("\shortstack{Take-up of \`\`more'' visits contract}" , pattern(1 0 0 0) span prefix(\multicolumn{@span}{c}{) suffix(})) ///
215
+ mlabels("\shortstack{8+ visits \\ (1)}" "\shortstack{12+ visits \\ (2)}" "\shortstack{16+ visits \\ (3)}" "\shortstack{Pooled \\ (4)}",span prefix(\multicolumn{@span}{c}{) suffix(})) ///
216
+ varlabels(z_avg_delta_ex1 "Behavior change premium (z-score)") ///
217
+ cells(b(star fmt(%9.3f)) se(par fmt(%9.3f))) msign(--) starlevels(* 0.1 ** 0.05 *** 0.01) stardetach ///
218
+ stats(dvmean dvse wavefe ccfe N N_clust, l("Dep. var. mean:" " " "\hline Wave FEs" "Contract FEs" "N" "Clusters") fmt(%8.0fc %8.0fc %8.0fc %8.0fc %8.0fc)) ///
219
+ collabels(,none) prehead( "\begin{tabular}{l*{@M}{r @{} l}}" "\hline") ///
220
+ posthead("\hline") prefoot("\hline") postfoot("\hline\hline" "\end{tabular}")
221
+
222
+ estout est_cd_4 est_cd_5 est_cd_6 est_cd_11 using "commit_delta_info.tex", style(tex) margin replace eqlabels(none) ///
223
+ order(z_avg_delta_ex1) keep(z_avg_delta_ex1) wrap varwidth(25) ///
224
+ mgroups("\shortstack{Take-up of \`\`more'' visits contract}" , pattern(1 0 0 0) span prefix(\multicolumn{@span}{c}{) suffix(})) ///
225
+ mlabels("\shortstack{8+ visits \\ (1)}" "\shortstack{12+ visits \\ (2)}" "\shortstack{16+ visits \\ (3)}" "\shortstack{Pooled \\ (4)}",span prefix(\multicolumn{@span}{c}{) suffix(})) ///
226
+ varlabels(z_avg_delta_ex1 "Behavior change premium (z-score)") ///
227
+ cells(b(star fmt(%9.3f)) se(par fmt(%9.3f))) msign(--) starlevels(* 0.1 ** 0.05 *** 0.01) stardetach ///
228
+ stats(dvmean dvse wavefe ccfe N N_clust, l("Dep. var. mean:" " " "\hline Wave FEs" "Contract FEs" "N" "Clusters") fmt(%8.0fc %8.0fc %8.0fc %8.0fc %8.0fc)) ///
229
+ collabels(,none) prehead( "\begin{tabular}{l*{@M}{r @{} l}}" "\hline") ///
230
+ posthead("\hline") prefoot("\hline") postfoot("\hline\hline" "\end{tabular}")
231
+
232
+ estout est_cd_7 est_cd_8 est_cd_9 est_cd_12 using "commit_delta_control.tex", style(tex) margin replace eqlabels(none) ///
233
+ order(z_avg_delta_ex1) keep(z_avg_delta_ex1) wrap varwidth(25) ///
234
+ mgroups("\shortstack{Take-up of \`\`more'' visits contract}" , pattern(1 0 0 0) span prefix(\multicolumn{@span}{c}{) suffix(})) ///
235
+ mlabels("\shortstack{8+ visits \\ (1)}" "\shortstack{12+ visits \\ (2)}" "\shortstack{16+ visits \\ (3)}" "\shortstack{Pooled \\ (4)}",span prefix(\multicolumn{@span}{c}{) suffix(})) ///
236
+ varlabels(z_avg_delta_ex1 "Behavior change premium (z-score)") ///
237
+ cells(b(star fmt(%9.3f)) se(par fmt(%9.3f))) msign(--) starlevels(* 0.1 ** 0.05 *** 0.01) stardetach ///
238
+ stats(dvmean dvse wavefe ccfe N N_clust, l("Dep. var. mean:" " " "\hline Wave FEs" "Contract FEs" "N" "Clusters") fmt(%8.0fc %8.0fc %8.0fc %8.0fc %8.0fc)) ///
239
+ collabels(,none) prehead( "\begin{tabular}{l*{@M}{r @{} l}}" "\hline") ///
240
+ posthead("\hline") prefoot("\hline") postfoot("\hline\hline" "\end{tabular}")
241
+
242
+
243
+ *** (regs_commitnotanti_pooled.tex) *******************************************
244
+
245
+ * Generate variable for expected attendace w/incentive given
246
+ gen days_exp = .
247
+ foreach i in 0 1 2 3 5 7{
248
+ replace days_exp = days_`i' if incentive == `i'
249
+ }
250
+
251
+ * Generate variables for gaps between goal, past, expected, & actual attendance
252
+ gen gap_goal_exp = goal - days_0 // under no incentive
253
+ gen gap_goal_past = goal - past4
254
+ gen gap_actual_exp = visits - days_exp
255
+
256
+ * Declare restriction for following analysis
257
+ loc restrict "!missing(incentive)"
258
+
259
+ * Generate z-scores for variables with constant restriction
260
+ drop z_avg_delta_ex1
261
+ foreach dvar in gap_goal_exp gap_actual_exp avg_delta_ex1{
262
+ sum `dvar' if `restrict'
263
+ gen z_`dvar' = (`dvar' - r(mean)) / r(sd) if `restrict'
264
+ }
265
+
266
+ *** Generate indicators for take-up of the more & not fewer contract ***
267
+ forval i = 8(4)16{
268
+ gen commitnotanti`i' = (commit`i' == 1 & anticommit`i' == 0) ///
269
+ if !missing(commit`i')
270
+ }
271
+
272
+ *** Run regressions of take-up of a more but not fewer visits contract ***
273
+ preserve
274
+
275
+ * Reshape to pool contracts
276
+ reshape long commitnotanti, i(id) j(t)
277
+
278
+ * Run regressions with constant restriction
279
+ eststo clear
280
+ loc k = 1
281
+ foreach covar in "first_info new_info" "z_avg_delta_ex1 first_info new_info" "z_gap_goal_exp first_info new_info" "z_gap_actual_exp first_info new_info"{
282
+ reg commitnotanti i.t wave2 wave3 `covar' if `restrict', vce(cluster id)
283
+ eststo spec_`k'
284
+
285
+ * Store dependent variable mean
286
+ ci means commitnotanti if `restrict'
287
+ local m : di %4.2f r(mean)
288
+ local mpct : di %4.0f r(mean)*100
289
+ local se : di %4.2f r(se)
290
+ estadd local dvmean `m'
291
+ estadd local dvse "(`se')"
292
+ ci means commitnotanti if `restrict' & control_info == 1
293
+ local mcontrol : di %4.2f r(mean)
294
+ local secontrol : di %4.2f r(se)
295
+ estadd local dvmeancontrol `mcontrol'
296
+ estadd local dvsecontrol "(`secontrol')"
297
+ estadd local wavefe "Yes"
298
+ estadd local ccfe "Yes"
299
+
300
+ loc ++k
301
+ }
302
+
303
+ * Export regression output
304
+ estout spec* using "regs_commitnotanti_pooled.tex", style(tex) margin replace eqlabels(none) ///
305
+ drop(8.t 12.t 16.t wave2 wave3 _cons) wrap varwidth(25) ///
306
+ order(first_info new_info z_avg_delta_ex1 z_gap_goal_exp z_gap_actual_exp ) ///
307
+ mgroups("\shortstack{Take-up of \`\`more'' but not \`\`fewer'' \\ visits contracts}", pattern(1 0 0 0) span prefix(\multicolumn{@span}{c}{) suffix(})) ///
308
+ mlabels("(1)" "(2)" "(3)" "(4)",span prefix(\multicolumn{@span}{c}{) suffix(})) ///
309
+ varlabels(z_avg_delta_ex1 "Behavior change premium (z-score)" z_gap_goal_exp "Goal $-$ exp. attend. (z-score)" z_gap_actual_exp "Actual $-$ exp. attend. (z-score)" first_info "Basic info. treatment" new_info "Enhanced info. treatment" _cons "Constant") ///
310
+ cells(b(star fmt(%9.3f)) se(par fmt(%9.3f))) msign(--) starlevels(* 0.1 ** 0.05 *** 0.01) stardetach ///
311
+ stats(dvmean dvse dvmeancontrol dvsecontrol wavefe ccfe N N_clust, l("Dep. var. mean:" " " "Dep. var. mean," "info. control group:" "\hline Wave FEs" "Contract FEs" "N" "Clusters") fmt(%8.0fc %8.0fc %8.0fc %8.0fc %8.0fc)) ///
312
+ collabels(,none) prehead( "\begin{tabular}{l*{@M}{r @{} l}}" "\hline") ///
313
+ posthead("\hline") prefoot("\hline") postfoot("\hline\hline" "\end{tabular}")
314
+
315
+ restore
316
+
317
+
318
+ *** (CCtable_{control,treatment}.tex) *****************************************
319
+ *** This table was created by hand, so no tex output is produced for it *******
320
+
321
+ foreach restriction in "new_info==1" "control_info==1"{
322
+ preserve
323
+ *** Keep either the treatment or control group ***
324
+ keep if `restriction'
325
+
326
+ if "`restriction'" == "new_info==1" loc name "enhancedtreat"
327
+ else loc name "control"
328
+
329
+ *** Summarize take-up of commitment contracts ***
330
+ forval X = 8(4)16 {
331
+ * Chose "more" contract
332
+ summarize commit`X'
333
+ * Store number of observations
334
+ if `X' == 12 latex_write `name'obs `r(N)' numbers
335
+ * Chose "fewer" contract
336
+ summarize anticommit`X'
337
+ * Chose "more" given chose "fewer"
338
+ summarize commit`X' if anticommit`X'==1
339
+ * Chose "fewer" given chose "more"
340
+ summarize anticommit`X' if commit`X'==1
341
+ * Difference between "more" and "more" given chose "fewer" means
342
+ gen commit`X'_cdtn = commit`X' if anticommit`X'==1
343
+ ttest commit`X'_cdtn = commit`X', unpaired
344
+ * Difference between "fewer" and "fewer" given chose "more" means
345
+ gen anticommit`X'_cdtn = anticommit`X' if commit`X'==1
346
+ ttest anticommit`X'_cdtn = anticommit`X', unpaired
347
+ }
348
+ restore
349
+ }
350
+
351
+
352
+ *** (CCtakeupVbeliefs.tex) ****************************************************
353
+
354
+ *** Regress probability of meeting threshold vs. take-up, all participants ***
355
+ *** Probability of meeting "more" threshold
356
+ reg percent_meet_commit12 commit12, robust
357
+ est store est21
358
+
359
+ reg percent_meet_commit12 anticommit12, robust
360
+ est store est22
361
+
362
+ reg percent_meet_commit12 commit12 anticommit12, robust
363
+ est store est23
364
+
365
+ * Difference of coefficients ("More"-"Fewer")
366
+ test _b[commit]=_b[anticommit]
367
+ nlcom diff: _b[commit]-_b[anticommit], post
368
+
369
+ * Store differences
370
+ local b : di %4.2f _b[diff]
371
+ local se : di %4.2f _se[diff]
372
+ estadd local diffb "`b'***" : est23 // know significance level via inspection
373
+ estadd local diffse "(`se')" : est23
374
+
375
+ *** Probability of meeting "fewer" threshold
376
+ reg percent_meet_anticommit commit12, robust
377
+ est store est24
378
+
379
+ reg percent_meet_anticommit anticommit12, robust
380
+ est store est25
381
+
382
+ reg percent_meet_anticommit commit12 anticommit12, robust
383
+ est store est26
384
+
385
+ * Difference of coefficients ("More"-"Fewer")
386
+ test _b[commit]=_b[anticommit]
387
+ nlcom diff: _b[commit]-_b[anticommit], post
388
+
389
+ * Store differences
390
+ local b : di %4.2f _b[diff]
391
+ local se : di %4.2f _se[diff]
392
+ estadd local diffb "`b'***" : est26 // know significance level via inspection
393
+ estadd local diffse "(`se')" : est26
394
+
395
+ *** Export table
396
+ estout est21 est22 est23 est24 est25 est26 using CCtakeupVbeliefs.tex, ///
397
+ style(tex) margin replace eqlabels(none) ///
398
+ cells(b(star fmt(%9.2f)) se(par fmt(%9.2f)) ) msign(--) starlevels(* 0.1 ** 0.05 *** 0.01) stardetach ///
399
+ keep(commit12 anticommit12) order(commit12 anticommit12) ///
400
+ stats(N diffb diffse, l("N" "\hline \`\`More'' $-$ \`\`Fewer''" " ") fmt(%8.0fc %8.0fc %8.0fc)) ///
401
+ varlabels(commit12 "Commit to \`\`more''" anticommit12 "Commit to \`\`fewer''") ///
402
+ collabels(,none) mlabels("(1)" "(2)" "(3)" "(4)" "(5)" "(6)",span prefix(\multicolumn{@span}{c}{) suffix(})) ///
403
+ mgroups("\shortstack{Subj. prob. succeed in \\ \`\`more'' contract}" "\shortstack{Subj. prob. succeed in \\ \`\`fewer'' contract}", pattern(1 0 0 1 0 0) ///
404
+ span prefix(\multicolumn{@span}{c}{) suffix(})) ///
405
+ prehead( "\begin{tabular}{l*{@M}{r @{} l}}" "\hline") ///
406
+ posthead("\hline") prefoot() postfoot("\hline\hline" "\end{tabular}")
407
+
408
+
409
+ *** (CCcorrelates.tex) ********************************************************
410
+
411
+ preserve
412
+ *** Reshape data ***
413
+ reshape long commit anticommit, i(id) j(threshold)
414
+
415
+ *** Further correlates of take-up ***
416
+ * Regress expected attendance on contract take-up
417
+ reg days_0 commit anticommit, robust
418
+ est store est31
419
+
420
+ * Difference of coefficients ("More"-"Fewer")
421
+ nlcom diff: _b[commit]-_b[anticommit], post
422
+
423
+ * Store differences
424
+ local b : di %4.2f _b[diff]
425
+ local se : di %4.2f _se[diff]
426
+ estadd local diffb "`b'***" : est31 // know significance level via inspection
427
+ estadd local diffse "(`se')" : est31
428
+
429
+
430
+ * Regress past attendance on contract take-up
431
+ reg past4 commit anticommit, robust
432
+ est store est32
433
+
434
+ * Difference of coefficients ("More"-"Fewer")
435
+ nlcom diff: _b[commit]-_b[anticommit], post
436
+
437
+ * Store differences
438
+ local b : di %4.2f _b[diff]
439
+ local se : di %4.2f _se[diff]
440
+ estadd local diffb "`b'***" : est32 // know significance level via inspection
441
+ estadd local diffse "(`se')" : est32
442
+
443
+
444
+ * Regress goal attendance on contract take-up
445
+ reg goal commit anticommit, robust
446
+ est store est33
447
+
448
+ * Difference of coefficients ("More"-"Fewer")
449
+ nlcom diff: _b[commit]-_b[anticommit], post
450
+
451
+ * Store differences
452
+ local b : di %4.2f _b[diff]
453
+ local se : di %4.2f _se[diff]
454
+ estadd local diffb "`b'***" : est33 // know significance level via inspection
455
+ estadd local diffse "(`se')" : est33
456
+
457
+
458
+ *** Export table
459
+ estout est31 est32 est33 using CCcorrelates.tex, style(tex) margin replace eqlabels(none) ///
460
+ cells(b(star fmt(%9.2f)) se(par fmt(%9.2f)) ) msign(--) starlevels(* 0.1 ** 0.05 *** 0.01) stardetach ///
461
+ keep(commit anticommit) order(commit anticommit) ///
462
+ mgroups("Expected attendance" "Past attendance" "Goal attendance", pattern(1 1 1) ///
463
+ span prefix(\multicolumn{@span}{c}{) suffix(})) ///
464
+ stats(N diffb diffse, l("N" "\hline \`\`More'' $-$ \`\`Fewer''" " ") fmt(%8.0fc %8.0fc %8.0fc)) ///
465
+ varlabels(commit "Chose \`\`more contract''" anticommit "Chose \`\`fewer'' contract") ///
466
+ collabels(,none) mlabels("(1)" "(2)" "(3)") ///
467
+ prehead( "\begin{tabular}{l*{@M}{r @{} l}}" "\hline") ///
468
+ posthead("\hline") prefoot() postfoot("\hline\hline" "\end{tabular}")
469
+
470
+ restore
471
+
472
+
473
+ *** (Exp_{Rates,Corr}.tex) ****************************************************
474
+ *** These tables were created by hand, so no tex output is produced for them **
475
+
476
+ * Note: Attendance in the following tables is in the absence of incentives
477
+
478
+ cap program drop rate_table corr_table
479
+ *** Create program for table of rates of contract take-up ***
480
+ program rate_table
481
+ syntax, attendance(string) // for expected vs. actual attendance
482
+
483
+ if "`attendance'" == "expected" local attendance "days_0"
484
+ else if "`attendance'" == "actual" local attendance "incentive == 0 & visits"
485
+ else confirm "`attendance'" == "actual" | "`attendance'" == "expected"
486
+
487
+ * Summarize take-up of commitment contracts
488
+ forval i = 8(4)16 {
489
+ * (1) Chose "more" contract
490
+ di("(1) Chose more: `i' visits")
491
+ summarize commit`i'
492
+ * (2) Chose "more" given attendance no more than target - 2
493
+ di("(2) Chose more | att. <= `i' - 2, `i' visits")
494
+ summarize commit`i' if `attendance' <= `i' - 2
495
+ * (3) Chose "more" given attendance no more than target - 4
496
+ di("(3) Chose more | att. <= `i' - 4, `i' visits")
497
+ summarize commit`i' if `attendance' <= `i' - 4
498
+ * (4) Chose "fewer" contract
499
+ di("(4) Chose fewer, `i' visits")
500
+ summarize anticommit`i'
501
+ * (5) Chose "fewer" given attendance at least target + 1
502
+ di("(5) Chose fewer | att. >= `i' + 1, `i' visits")
503
+ summarize anticommit`i' if `attendance' >= `i' + 1
504
+ * (6) Chose "fewer" given attendance at least target + 3
505
+ di("(6) Chose fewer | att. >= `i' + 3, `i' visits")
506
+ summarize anticommit`i' if `attendance' >= `i' + 3
507
+ }
508
+ end
509
+
510
+ * Obtain take-up rates for table
511
+ rate_table, attendance(expected)
512
+
513
+ *** Create program for table of contract take-up correlations ***
514
+ program corr_table
515
+ syntax, attendance(string) // for expected vs. actual attendance
516
+
517
+ if "`attendance'" == "expected" local attendance "days_0"
518
+ else if "`attendance'" == "actual" local attendance "incentive == 0 & visits"
519
+
520
+ * Summarize correlation between take-up more- & fewer-visit contracts
521
+ forval i = 8(4)16 {
522
+ * (1) Correlation
523
+ di("(1) `i' visits")
524
+ pwcorr commit`i' anticommit`i', sig
525
+ * (2) Correlation given attendance no more than target - 2
526
+ di("(2) att. <= `i' - 2, `i' visits")
527
+ pwcorr commit`i' anticommit`i' if `attendance' <= `i' - 2, sig
528
+ * (3) Correlation given attendance no more than target - 4
529
+ di("(3) att. <= `i' - 4, `i' visits")
530
+ pwcorr commit`i' anticommit`i' if `attendance' <= `i' - 4, sig
531
+ * (4) Correlation given attendance at least target + 1
532
+ di("(4) att. >= `i' + 1, `i' visits")
533
+ pwcorr commit`i' anticommit`i' if `attendance' >= `i' + 1, sig
534
+ * (5) Correlation given attendance at least target + 3
535
+ di("(5) att. >= `i' + 3,`i' visits")
536
+ pwcorr commit`i' anticommit`i' if `attendance' >= `i' + 3, sig
537
+ * (6) Correlation given attendance no more than 6
538
+ di("(6) att. <= 6, `i' visits")
539
+ pwcorr commit`i' anticommit`i' if `attendance' <= 6, sig
540
+ * (7) Correlation given attendance at least 17
541
+ di("(7) att. >= 17, `i' visits")
542
+ pwcorr commit`i' anticommit`i' if `attendance' >= 17, sig
543
+ }
544
+ end
545
+
546
+ * Obtain correlations for table
547
+ corr_table, attendance(expected)
548
+
549
+
550
+ *** (bcp_on_behavior_change.tex) **********************************************
551
+
552
+ preserve
553
+ *** Reshape to long format
554
+ reshape long delta diffa, i(id) j(index)
555
+
556
+ *** Run regression of behavior change premium on behavior change, excl. $1
557
+ * Without wave fixed effects
558
+ reg delta diffa if index > 1, cluster(id)
559
+ est store bcpbc1
560
+
561
+ * Store mean & fixed effects information
562
+ estadd local wavefe "No"
563
+ ci means delta if e(sample)
564
+ local m : di %4.2f r(mean)
565
+ loc se : di %4.2f r(se)
566
+ estadd local dvmean `m'
567
+ estadd local dvse "(`se')"
568
+
569
+ * With wave fixed effects
570
+ reg delta diffa wave? if index > 1, cluster(id) nocons
571
+ est store bcpbc2
572
+
573
+ * Store mean & fixed effects information
574
+ estadd local wavefe "Yes"
575
+ ci means delta if e(sample)
576
+ local m : di %4.2f r(mean)
577
+ loc se : di %4.2f r(se)
578
+ estadd local dvmean `m'
579
+ estadd local dvse "(`se')"
580
+
581
+ *** Export table
582
+ estout bcpbc* using "bcp_on_behavior_change.tex", ///
583
+ style(tex) margin replace eqlabels(none) drop(wave*) ///
584
+ mgroups("\shortstack{Behavior change \\ premium}", pattern(1) span prefix(\multicolumn{@span}{c}{) suffix(})) ///
585
+ mlabels("(1)" "(2)", span prefix(\multicolumn{@span}{c}{) suffix(})) ///
586
+ varlabels(diffa "Expected behavior change" _cons "Constant") ///
587
+ cells(b(star fmt(%9.2f)) se(par fmt(%9.2f))) msign(--) starlevels(* 0.1 ** 0.05 *** 0.01) stardetach ///
588
+ stats(dvmean dvse wavefe N N_clust, l("Dep. var. mean:" " " "\hline Wave FEs" "N" "Clusters") fmt(%8.0fc %8.0fc %8.0fc)) ///
589
+ collabels(,none) prehead( "\begin{tabular}{l*{@M}{r @{} l}}" "\hline") ///
590
+ posthead("\hline") prefoot("\hline") postfoot("\hline\hline" "\end{tabular}")
591
+
592
+ restore
593
+
594
+
595
+ *** (bcp_on_risk_aversion.tex) *************************************************
596
+
597
+ /* Note: this table is not included in the paper, but the results are
598
+ referenced in footnote 12. */
599
+
600
+ *** Generate risk aversion variables
601
+ * Generate indicator for not choosing options with more risk but no addtl. return
602
+ gen risk_averse = risk_aversion <= 5
603
+
604
+ * Generate indicator for above median risk aversion
605
+ sum risk_aversion, d
606
+ gen abovemed_risk_aversion = risk_aversion <= r(p50)
607
+
608
+ *** Run regressions on a range of risk aversion variables
609
+ eststo clear
610
+ loc k = 1
611
+ foreach covar in "risk_aversion" "abovemed_risk_aversion" "risk_averse" {
612
+
613
+ reg avg_delta_ex1 `covar' wave2 wave3, r
614
+ eststo spec_`k'
615
+ loc ++k
616
+
617
+ * Store mean & fixed effects information
618
+ estadd local wavefe "Yes"
619
+ ci means avg_delta_ex1 if e(sample)
620
+ local m : di %4.2f r(mean)
621
+ loc se : di %4.2f r(se)
622
+ estadd local dvmean `m'
623
+ estadd local dvse "(`se')"
624
+
625
+ }
626
+
627
+ *** Export table
628
+ estout spec* using "bcp_on_risk_aversion.tex", ///
629
+ style(tex) margin replace eqlabels(none) drop(wave* _cons) ///
630
+ mgroups("\shortstack{Behavior change premium}", pattern(1 0 0) span prefix(\multicolumn{@span}{c}{) suffix(})) ///
631
+ mlabels("(1)" "(2)" "(3)", span prefix(\multicolumn{@span}{c}{) suffix(})) ///
632
+ varlabels(risk_aversion "Risk aversion" abovemed_risk_aversion "Above median risk aversion" risk_averse "Risk averse") ///
633
+ cells(b(star fmt(%9.3f)) se(par fmt(%9.3f))) msign(--) starlevels(* 0.1 ** 0.05 *** 0.01) stardetach ///
634
+ stats(dvmean dvse wavefe N, l("Dep. var. mean:" " " "\hline Wave FEs" "N") fmt(%8.0fc %8.0fc %8.0fc %8.0fc)) ///
635
+ collabels(,none) prehead( "\begin{tabular}{l*{@M}{r @{} l}}" "\hline") ///
636
+ posthead("\hline") prefoot("\hline") postfoot("\hline\hline" "\end{tabular}")
637
+
638
+
639
+ *** Load and clean daily experimental data ************************************
640
+
641
+ *** Load dataset ***
642
+ use "$main/Data/cleaned_commitment_study_daily_data", clear
643
+
644
+ *** Variable Creation & Cleaning Steps ***
645
+ *** Generate info treatment indicators
646
+ gen first_info = type_of_info=="1-onlygraph"
647
+ gen new_info = type_of_info=="2-graphplus"
648
+ gen control_info = (new_info == 0 & first_info == 0)
649
+
650
+ *** Generate wave indicators
651
+ gen wave1 = (wave == "fall")
652
+ gen wave2 = (wave == "winter")
653
+ gen wave3 = (wave == "spring")
654
+
655
+ *** Define anticommitment/commitment variables for each threshold
656
+ gen anticommit8 = q170 ==2 if q170<.
657
+ gen commit8 = q169 ==2 if q169<.
658
+ gen anticommit12 = chose_anticommit11
659
+ gen commit12 = chose_commit12
660
+ gen anticommit16 = q296==2 if q296<.
661
+ gen commit16 = q295 ==2 if q295<.
662
+
663
+ *** Restrict sample to those exogenously assigned incentives
664
+ keep if flag_low_wtp == 0 & flag_exclude_exog == 0
665
+
666
+
667
+ *** (DailyAttIncr.tex) ********************************************************
668
+
669
+ preserve
670
+ keep if commit12 == 1
671
+ gen got_incentive = 1 if treatment == "threshold80_12"
672
+ replace got_incentive = 0 if treatment == "control"
673
+ tab got_incentive
674
+ keep if !missing(got_incentive)
675
+ gen incentive_day = day*got_incentive
676
+
677
+ * Run regression of attendance on assignment to contract and day
678
+ reg attended day got_incentive incentive_day wave2 wave3, clus(id)
679
+ est store estday
680
+ estadd local wavefe "Yes"
681
+ restore
682
+
683
+ * Export regression output
684
+ estout estday using "DailyAttIncr.tex", style(tex) margin replace eqlabels(none) ///
685
+ order(day got_incentive incentive_day _cons) ///
686
+ drop(wave2 wave3 _cons) ///
687
+ mgroups("\shortstack{Attendance \\ likelihood}", pattern(1) span prefix(\multicolumn{@span}{c}{) suffix(})) ///
688
+ mlabels("(1)",span prefix(\multicolumn{@span}{c}{) suffix(})) ///
689
+ varlabels(day "Day" got_incentive "12+ visits contract" incentive_day "Day $\times$ 12+ visits contract") ///
690
+ cells(b(star fmt(%9.3f)) se(par fmt(%9.3f))) msign(--) starlevels(* 0.1 ** 0.05 *** 0.01) stardetach ///
691
+ stats(wavefe N N_clust, l("Wave FEs" "N" "Clusters") fmt(%8.0fc %8.0fc)) ///
692
+ collabels(,none) ///
693
+ prehead( "\begin{tabular}{l*{@M}{r @{} l}}" "\hline") ///
694
+ posthead("\hline") ///
695
+ prefoot("\hline") ///
696
+ postfoot("\hline\hline" "\end{tabular}")
107/replication_package/Code/Stata/Figures.do ADDED
@@ -0,0 +1,455 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ *** FIGURES FOR Carrera, Royer, Stehr, Sydnor, and Taubinsky (2021) ***********
2
+ *******************************************************************************
3
+
4
+ *** Initial set-up ***
5
+ clear
6
+ set more off
7
+
8
+ *** Set directories for data and output ***
9
+ cd "$main/Output"
10
+ /* Note: all figures will output to the working directory. Uses a program from
11
+ master_do_file_for_analysis.do */
12
+
13
+
14
+ *** (uniform_range.pdf) *******************************************************
15
+
16
+ set obs 500
17
+
18
+ *** Generate benefit values ***
19
+ gen b = _n/500
20
+
21
+ *** Generate commitment contract demand regions for each beta ***
22
+ forvalues beta = 1(1)500 {
23
+ local B = `beta'/500
24
+ gen bindingcommit`beta' = ( ((2*b-1)/(2*(b^2))) > `B'*(1-.5*`B') )
25
+ }
26
+
27
+ *** Reshape data for graphing ***
28
+ reshape long bindingcommit, i(b) j(B)
29
+ replace B = B/500
30
+
31
+ *** Produce Figure 1 ***
32
+ twoway contour bindingcommit B b if B >= .75 & B <= .95, levels(2) /*
33
+ */ ccolors(red blue) xlabel(0(.1)1) ylabel(.75(.05).95) /*
34
+ */ xtitle("Benefit (share of time beneficial)") ytitle("Perceived short-run discount factor") /*
35
+ */ graphr(color(white) fcolor(white)) bgcolor(white) plotregion(margin(zero)) clegend(off)
36
+
37
+ *** Export figure
38
+ graph export uniformrange.pdf, replace
39
+ * with descriptive text superimposed in the paper
40
+
41
+
42
+ *** Load and clean experimental data ******************************************
43
+
44
+ *** Load dataset ***
45
+ use "$main/Data/cleaned_commitment_study_data", clear
46
+
47
+ *** Variable Creation & Cleaning Steps ***
48
+ *** Create an ID variable for use when reshaping long
49
+ gen id = _n
50
+
51
+ *** Generate info treatment indicators
52
+ gen first_info = type_of_info=="1-onlygraph"
53
+ gen new_info = type_of_info=="2-graphplus"
54
+ gen control_info = (new_info == 0 & first_info == 0)
55
+
56
+ *** Generate wave indicators
57
+ gen wave1 = (wave == "fall")
58
+ gen wave2 = (wave == "winter")
59
+ gen wave3 = (wave == "spring")
60
+
61
+ *** Define anticommitment/commitment variables for each threshold
62
+ gen anticommit8 = q170 ==2 if q170<.
63
+ gen commit8 = q169 ==2 if q169<.
64
+ gen anticommit12 = chose_anticommit11
65
+ gen commit12 = chose_commit12
66
+ gen anticommit16 = q296==2 if q296<.
67
+ gen commit16 = q295 ==2 if q295<.
68
+
69
+ *** Restrict sample to those exogenously assigned incentives
70
+ keep if flag_low_wtp == 0 & flag_exclude_exog == 0
71
+
72
+
73
+ *** (wtp_ev_tcbench.pdf) ******************************************************
74
+
75
+ *** Generate additional variables
76
+ *** Expected value of earnings based on subjective "days" estimate for frequency of visits
77
+ gen ev1 = days_1
78
+ gen ev2 = days_2*2
79
+ gen ev3 = days_3*3
80
+ gen ev5 = days_5*5
81
+ gen ev7 = days_7*7
82
+ gen ev12 = days_12*12
83
+
84
+ *** Generate values for the $0 incentive
85
+ gen wtp0 = 0
86
+ gen ev0 = 0
87
+
88
+ *** Estimate means with 95% confidence intervals
89
+ mat data = J(7, 7, .) // initialize matrix for storing values
90
+ loc row = 1
91
+ foreach p in 0 1 2 3 5 7 12 {
92
+
93
+ * Input incentive in first column
94
+ mat data[`row', 1] = `p'
95
+
96
+ * Input means & CI bounds of WTP in next three columns
97
+ ci means wtp`p'
98
+ mat data[`row', 2] = r(mean)
99
+ mat data[`row', 3] = r(lb)
100
+ mat data[`row', 4] = r(ub)
101
+
102
+ * Input means & CI bounds of expected earnings in last three columns
103
+ ci mean ev`p'
104
+ mat data[`row', 5] = r(mean)
105
+ mat data[`row', 6] = r(lb)
106
+ mat data[`row', 7] = r(ub)
107
+
108
+ loc ++row // increment row
109
+ }
110
+
111
+ *** Use data stored in matrix
112
+ preserve
113
+ clear
114
+ svmat data
115
+ ren (data*) (incentive wtp wtplb wtpub ev evlb evub)
116
+
117
+ *** Store certain statistics ***
118
+ * Average expected earnings under $1 incentive
119
+ sum ev if incentive == 1 // EV equals exp. visits under this incentive
120
+ loc avgexp : di %4.2f r(mean)
121
+ latex_write avgexpincone `avgexp' numbers
122
+ * Average WTP for $1 incentive
123
+ sum wtp if incentive == 1
124
+ loc avgwtp : di %4.2f r(mean)
125
+ latex_write avgwtpincone `avgwtp' numbers
126
+ * Difference
127
+ loc diff : di %4.2f `avgwtp'-`avgexp'
128
+ latex_write avgdiffincone `diff' numbers
129
+
130
+ *** Produce figure ***
131
+ graph twoway (connected ev incentive, lc(black) msymbol(none) mc(none) lp(dash)) /*
132
+ */ (rcap evub evlb incentive, lc(black) lw(*.5) msize(*2.25)) /*
133
+ */ (connected wtp incentive, lc(cranberry) mlc(cranberry) mc(none) msymbol(circle) msize(vsmall)) /*
134
+ */ (rcap wtpub wtplb incentive, lc(cranberry) lw(*.5) msize(*2.25)), /*
135
+ */ xtitle("Per-visit incentive ($)", height(6)) ylabel(0(25)225, angle(0)) xlabel(1(1)12) /*
136
+ */ graphr(color(white) fcolor(white)) bgcolor(white) plotregion(margin(zero)) /*
137
+ */ ytitle("$", height(6)) legend(order(1 3) label(1 "Avg. subjective expected earnings") label(3 "Avg. WTP for that incentive") rows(3))
138
+
139
+ *** Export figure
140
+ graph export wtp_ev_tcbench.pdf, replace
141
+ restore
142
+
143
+
144
+ *** (deltas.pdf) **************************************************************
145
+
146
+ *** Generate additional variables ***
147
+ preserve
148
+ *** Better measures of Commitment as per proposition
149
+ /*** These are the amounts, per attendance, by which a person "overpays" for
150
+ the increase in incentive. Second-order approximation */
151
+ gen delta1=(wtp1) - (days_1+days_0)/2
152
+ gen delta2 = (wtp2-wtp1) - (days_2+days_1)/2
153
+ gen delta3=(wtp3-wtp2) - (days_3+days_2)/2
154
+ gen delta5=(wtp5-wtp3)/(5-3) - (days_5+days_3)/2
155
+ gen delta7=(wtp7-wtp5)/(7-5) - (days_7+days_5)/2
156
+ gen delta12=(wtp12-wtp7)/(12-7) - (days_12+days_7)/2
157
+
158
+ gen avg_delta = (delta1 + delta2+delta3 + delta5 + delta7 + delta12)/6
159
+ gen avg_delta_ex1 = (delta2+delta3 + delta5 + delta7 + delta12)/5
160
+
161
+ // DELTA MEASURES DIFFERENCES FROM TC BENCHMARK
162
+ *** Run the regressions and store results with model names
163
+ quietly reg avg_delta, robust
164
+ est store m1
165
+ loc avgbcp = _b[_cons]
166
+ loc avg : di %4.2f `avgbcp'
167
+ latex_write avgbcp `avg' numbers
168
+
169
+ quietly reg avg_delta_ex1, robust
170
+ est store m2
171
+ loc avgbcpex1 = _b[_cons]
172
+ loc avg : di %4.2f `avgbcpex1'
173
+ latex_write avgbcpexone `avg' numbers
174
+
175
+ *** Produce figure: average delta with CI's for the info-control group ***
176
+ coefplot (m1, aseq(Average across incentives))/*
177
+ */ (m2, aseq(Average excluding $1 incentive)) /*
178
+ */, xline(0) xlabel(-1(.5)2.5) legend(off) mc(black) offset(0) ciopts(lc(black) /*
179
+ */ recast(rcap) lp(dash)) grid(none) aseq swap graphr(fcolor(white) color(white)) /*
180
+ */ xtitle("Behavior change premium ($)", height(6)) plotregion(margin(zero))
181
+
182
+ *** Export figure
183
+ graph export deltas.pdf, replace
184
+ restore
185
+
186
+
187
+ *** (overconfidence.pdf) **********************************************
188
+
189
+ *** Obtain coefficients for plot ***
190
+ * Generate placeholder
191
+ forval k = 0/12 {
192
+ gen var`k' = .
193
+ label variable var`k' `k'
194
+ }
195
+
196
+ * Generate estimates
197
+ forval k = 0(1)12 {
198
+
199
+ replace var`k' = 10
200
+ reg var`k' var`k', nocons
201
+ eststo m_v_`k'
202
+
203
+ if `k' != 4 & `k' != 6 & `k' != 8 & `k' != 9 & `k' != 10 & `k' != 11{
204
+ replace var`k' = (flag_exclude_exog==0&flag_low_wtp==0)
205
+ reg days_`k' var`k', robust nocons
206
+ est store m_days`k'_all
207
+ }
208
+
209
+ if `k' != 1 & `k' != 3 & `k' != 12 & `k' != 4 & `k' != 6 & `k' != 8 & `k' != 9 & `k' != 10 & `k' != 11{
210
+ replace var`k' = (incentive == `k' &flag_exclude_exog==0 ///
211
+ &flag_low_wtp==0)
212
+ reg visits var`k' if incentive == `k', robust nocons
213
+ est store m_visits`k'_given
214
+
215
+ * Store number of observations
216
+ if `k' == 0 loc num "zero"
217
+ else if `k' == 2 loc num "two"
218
+ else if `k' == 5 loc num "five"
219
+ else loc num "seven"
220
+ latex_write incentive`num'obs `e(N)' numbers
221
+ }
222
+ }
223
+
224
+ *** Produce figure: Overconfidence ***
225
+ *** Beliefs vs reality
226
+ coefplot (m_v_*, offset(0) m(none) lp(none)) /*
227
+ */ (m_days0_all m_days1_all m_days2_all m_days3_all m_days5_all m_days7_all m_days12_all, offset(0) recast(connected) msize(small) mc(black) lp(dash) lc(black) ciopts(lc(black) recast(rcap) lp(solid)) )/*
228
+ */ (m_visits0_given m_visits2_given m_visits5_given m_visits7_given, offset(0) recast(connected) msize(small) m(square) mc(red) lc(red) ciopts(lc(red) recast(rcap) lp(dash)) ) /*
229
+ */, vertical plotregion(margin(zero)) xlabel(1 "0" 2 "1" 3 "2" 4 "3" 5 "4" 6 "5" 7 "6" 8 "7" 9 "8" 10 "9" 11 "10" 12 "11" 13 "12") /*
230
+ */ graphr(color(white) fcolor(white)) bgcolor(white) xtitle("Per-visit incentive ($)", height(6)) ytitle("Visits", height(6))/*
231
+ */ ylabel(0(5)22, angle(0)) legend(order(4 6) label(4 "Average expected visits") label(6 "Average realized visits")) legend(rows(2))
232
+
233
+ *** Export figure
234
+ graph export overconfidence.pdf, replace
235
+
236
+
237
+ *** (overconfidence_treatment.pdf) ********************************************
238
+
239
+ *** Obtain coefficients for plots ***
240
+ foreach cdtn in "wave1 == 1" "(wave2 == 1 | wave3 == 1)"{
241
+
242
+ if "`cdtn'" == "wave1 == 1"{
243
+ loc treat "first_info"
244
+ loc name "1"
245
+ loc tlab "basic"
246
+ loc excl "5"
247
+ loc result5_c ""
248
+ loc result5_t ""
249
+ }
250
+ else{
251
+ loc treat "new_info"
252
+ loc name "23"
253
+ loc tlab "enhanced"
254
+ loc excl "100"
255
+ loc result5_c "m_visits5_given_c"
256
+ loc result5_t "m_visits5_given_t"
257
+ }
258
+
259
+ * Generate estimates
260
+ forval k = 0(1)12 {
261
+
262
+ replace var`k' = 10
263
+ reg var`k' var`k', nocons
264
+ eststo m_v_`k'
265
+
266
+ * Information treatment
267
+ if `k' != 4 & `k' != 6 & `k' != 8 & `k' != 9 & `k' != 10 & `k' != 11{
268
+ replace var`k' = (flag_exclude_exog==0&flag_low_wtp==0& ///
269
+ `cdtn'&`treat'==1)
270
+ reg days_`k' var`k' if `cdtn'&`treat'==1, robust nocons
271
+ est store m_days`k'_all_t
272
+ }
273
+
274
+ if `k' != 1 & `k' != 3 & `k' != 4 & `k' != 6 & `k' != 8 & `k' != 9 & `k' != 10 & `k' != 11 & `k' != 12 & `k' != `excl'{
275
+ replace var`k' = (incentive == `k' &flag_exclude_exog==0 ///
276
+ &flag_low_wtp==0&`cdtn'&`treat'==1)
277
+ reg visits var`k' if incentive == `k' & `cdtn'&`treat'==1, ///
278
+ robust nocons
279
+ est store m_visits`k'_given_t
280
+
281
+ * Store number of observations
282
+ loc treatobs = e(N)
283
+
284
+ }
285
+
286
+ * Information control
287
+ if `k' != 4 & `k' != 6 & `k' != 8 & `k' != 9 & `k' != 10 & `k' != 11{
288
+ replace var`k' = (flag_exclude_exog==0&flag_low_wtp==0& ///
289
+ `cdtn'&`treat'!=1)
290
+ reg days_`k' var`k' if `cdtn'&`treat'!=1, robust nocons
291
+ est store m_days`k'_all_c
292
+ }
293
+
294
+ if `k' != 1 & `k' != 3 & `k' != 4 & `k' != 6 & `k' != 8 & `k' != 9 & `k' != 10 & `k' != 11 & `k' != 12 & `k' != `excl'{
295
+ replace var`k' = (incentive == `k' &flag_exclude_exog==0 ///
296
+ &flag_low_wtp==0&`cdtn'&`treat'!=1)
297
+ reg visits var`k' if incentive == `k' & `cdtn'&`treat'!=1, ///
298
+ robust nocons
299
+ est store m_visits`k'_given_c
300
+
301
+ * Store number of observations
302
+ if `k' == 0 loc num "zero"
303
+ else if `k' == 2 loc num "two"
304
+ else if `k' == 5 loc num "five"
305
+ else loc num "seven"
306
+ loc bothobs = e(N) + `treatobs'
307
+ latex_write incentive`num'obs`tlab' `bothobs' numbers
308
+
309
+ }
310
+
311
+ }
312
+
313
+ * Store total observations used
314
+ sum var0 if `cdtn'&`treat'==1
315
+ latex_write obs`tlab'treat `r(N)' numbers
316
+ sum var0 if `cdtn'&`treat'!=1
317
+ latex_write obs`tlab'control `r(N)' numbers
318
+
319
+ *** Produce figure: Overconfidence ***
320
+ local jig = .1
321
+ *** Beliefs vs reality
322
+ coefplot (m_v_*, offset(0) m(none) lp(none)) /*
323
+ */ (m_days0_all_c m_days1_all_c m_days2_all_c m_days3_all_c m_days5_all_c m_days7_all_c m_days12_all_c, offset(-`jig') recast(connected) msize(small) mc(black) lp(dash) lc(black) ciopts(lc(black) recast(rcap) lp(solid)) )/*
324
+ */ (m_visits0_given_c m_visits2_given_c `result5_c' m_visits7_given_c, offset(-`jig') recast(connected) msize(small) m(square) mc(black) lc(black) lp(solid) ciopts(lc(black) recast(rcap) lp(dash)) ) /*
325
+ */ (m_days0_all_t m_days1_all_t m_days2_all_t m_days3_all_t m_days5_all_t m_days7_all_t m_days12_all_t, offset(`jig') recast(connected) m(Oh) msize(small) mc(blue) lp(dash) lc(blue) ciopts(lc(blue) recast(rcap) lp(solid)) )/*
326
+ */ (m_visits0_given_t m_visits2_given_t `result5_t' m_visits7_given_t, offset(`jig') recast(connected) msize(small) m(Sh) mc(blue) lc(blue) lp(solid) ciopts(lc(blue) recast(rcap) lp(dash)) ) /*
327
+ */, vertical plotregion(margin(zero)) xlabel(1 "0" 2 "1" 3 "2" 4 "3" 5 "4" 6 "5" 7 "6" 8 "7" 9 "8" 10 "9" 11 "10" 12 "11" 13 "12") /*
328
+ */ graphr(color(white) fcolor(white)) bgcolor(white) xtitle("Per-visit incentive ($)", height(6)) ytitle("Visits", height(6))/*
329
+ */ ylabel(0(5)22, angle(0)) legend(order(4 6 8 10) label(4 "Average expected visits, information control") label(6 "Average realized visits, information control") label(8 "Average expected visits, `tlab' information treatment") label(10 "Average realized visits, `tlab' information treatment")) legend(rows(4))
330
+
331
+ *** Export figure
332
+ graph export overconfidence_treatment_wave`name'.pdf, replace
333
+ eststo clear
334
+
335
+ }
336
+
337
+
338
+ *** (exp_actual_under_incentive.pdf) ******************************************
339
+
340
+ *** Expected attendance w/incentive given vs. actual attendance w/incentive
341
+ * Generate variable for expected attendace w/incentive given
342
+ gen days_exp = .
343
+ foreach i in 0 1 2 3 5 7{
344
+ replace days_exp = days_`i' if incentive == `i'
345
+ }
346
+
347
+ * Plot with 45-degree line
348
+ preserve
349
+ binscatter visits days_exp, ///
350
+ ytitle(Actual attendance, height(6)) ///
351
+ xtitle(Expected attendance under assigned incentive, height(6)) ///
352
+ xlab(0(5)30) ylab(0(5)30, angle(0)) plotregion(margin(zero)) ///
353
+ graphregion(color(white)) savedata(binned) replace
354
+ clear
355
+ do binned
356
+ graph addplot function y = x, range(0 30) lpattern(dash) lcolor(gs13) ///
357
+ xlab(0(5)30) ylab(0(5)30, angle(0)) plotregion(margin(zero))
358
+ graph export "exp_actual_under_incentive.pdf", replace
359
+ restore
360
+
361
+ * Remove temporary files
362
+ cap erase "binned.csv"
363
+ cap erase "binned.do"
364
+
365
+
366
+ *** (wtp_exp_attendance.pdf) **************************************************
367
+
368
+ preserve
369
+ * Reshape to graph each incentive level separately
370
+ reshape long wtp days_, i(id) j(incentive_level)
371
+
372
+ * Store average increase in attendance per dollar of incentive
373
+ reg days_ incentive_level, clus(id)
374
+ loc incr = _b[incentive_level]
375
+ loc avg : di %4.2f `incr'
376
+ latex_write incrattinc `avg' numbers
377
+ loc stderr : di %4.3f _se[incentive_level]
378
+ latex_write incrattincse `stderr' numbers
379
+
380
+ * Store behavior change premium per dollar of incentive
381
+ loc bcpinc : di %4.2f `avgbcp'/`incr'
382
+ latex_write avgbcpinc `bcpinc' numbers
383
+ loc bcpincex1 : di %4.2f `avgbcpex1'/`incr'
384
+ latex_write avgbcpexoneinc `bcpincex1' numbers
385
+
386
+ * Produce plot
387
+ binscatter wtp days_ if incentive_level != 0, by(incentive_level) ///
388
+ ytitle(WTP for incentive ($), height(6)) ///
389
+ xtitle(Expected attendance, height(6)) ///
390
+ xlab(0(5)30) ylab(0(50)300, angle(0)) ///
391
+ legend(order(1 "1" 2 "2" 3 "3" 4 "5" 5 "7" 6 "12") subtitle(Per-visit incentive ($), size(medsmall)) rows(1)) ///
392
+ graphregion(color(white)) plotregion(margin(zero))
393
+ graph export "wtp_exp_attendance.pdf", replace
394
+
395
+ restore
396
+
397
+
398
+ *** Load and clean daily experimental data ************************************
399
+
400
+ *** Load dataset ***
401
+ use "$main/Data/cleaned_commitment_study_daily_data", clear
402
+
403
+ *** Variable Creation & Cleaning Steps ***
404
+ *** Generate info treatment indicators
405
+ gen first_info = type_of_info=="1-onlygraph"
406
+ gen new_info = type_of_info=="2-graphplus"
407
+ gen control_info = (new_info == 0 & first_info == 0)
408
+
409
+ *** Generate wave indicators
410
+ gen wave1 = (wave == "fall")
411
+ gen wave2 = (wave == "winter")
412
+ gen wave3 = (wave == "spring")
413
+
414
+ *** Define anticommitment/commitment variables for each threshold
415
+ gen anticommit8 = q170 ==2 if q170<.
416
+ gen commit8 = q169 ==2 if q169<.
417
+ gen anticommit12 = chose_anticommit11
418
+ gen commit12 = chose_commit12
419
+ gen anticommit16 = q296==2 if q296<.
420
+ gen commit16 = q295 ==2 if q295<.
421
+
422
+ *** Restrict sample to those exogenously assigned incentives
423
+ keep if flag_low_wtp == 0 & flag_exclude_exog == 0
424
+
425
+
426
+ *** (daily_att_likelihood.pdf) ************************************************
427
+
428
+ preserve
429
+
430
+ * Generate variables and restrict data
431
+ keep if commit12 == 1
432
+ gen got_incentive = 1 if treatment == "threshold80_12"
433
+ replace got_incentive = 0 if treatment == "control"
434
+ keep if !missing(got_incentive)
435
+ gen incentive_day = day*got_incentive
436
+
437
+ * For trendline of increase in likelihood of attendance
438
+ reg attended day got_incentive incentive_day wave2 wave3, clus(id)
439
+ loc slope = _b[incentive_day]
440
+ loc intercept = _b[got_incentive]
441
+
442
+ * Average increase in likelihood of attendance from the contract each day
443
+ reg attended ibn.day ibn.day#c.got_incentive, clus(id) nocons
444
+
445
+ * Produce plot
446
+ coefplot, nolabel vertical keep(*#c.got_incentive) yline(0) omitted baselevels ///
447
+ ciopts(recast(rcap) lp(dash) lw(thin)) xlab(0(2)28) xtitle("Day", height(6)) ///
448
+ ylab(-.2(.1).5, angle(0)) ytitle("Change in likelihood of going to the gym", height(4)) ///
449
+ graphregion(color(white)) bgcolor(white) plotregion(margin(zero))
450
+ graph addplot function y = `slope'*x + `intercept', range(1 28) ///
451
+ lw(medthick) lp(longdash) lcolor(ebblue*.7) ///
452
+ xlab(0(2)28) ylab(-.2(.1).5, angle(0)) plotregion(margin(zero))
453
+ graph export "daily_att_likelihood.pdf", replace
454
+
455
+ restore
107/replication_package/Code/Stata/Parameter estimates.do ADDED
@@ -0,0 +1,1156 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ *** PARAMETER ESTIMATES FOR Carrera, Royer, Stehr, Sydnor, and Taubinsky (2021)
2
+ *******************************************************************************
3
+
4
+ *** Initial set-up ***
5
+ clear
6
+ set more off
7
+
8
+ *** Set directories for data and output ***
9
+ cd "$main/Output"
10
+ /* Note: outputs to the working directory. Uses a program from
11
+ master_do_file_for_analysis.do */
12
+
13
+
14
+ *** Load and clean experimental data ******************************************
15
+
16
+ *** Load dataset ***
17
+ use "$main/Data/cleaned_commitment_study_data", clear
18
+
19
+ *** Variable Creation & Cleaning Steps ***
20
+ *** Create an ID variable for use when reshaping long
21
+ gen id = _n
22
+
23
+ *** Generate info treatment indicators
24
+ gen first_info = type_of_info=="1-onlygraph"
25
+ gen new_info = type_of_info=="2-graphplus"
26
+ gen control_info = (new_info == 0 & first_info == 0)
27
+
28
+ *** Generate wave indicators
29
+ gen wave1 = (wave == "fall")
30
+ gen wave2 = (wave == "winter")
31
+ gen wave3 = (wave == "spring")
32
+
33
+ *** Define anticommitment/commitment variables for each threshold
34
+ gen anticommit8 = q170 ==2 if q170<.
35
+ gen commit8 = q169 ==2 if q169<.
36
+ gen anticommit12 = chose_anticommit11
37
+ gen commit12 = chose_commit12
38
+ gen anticommit16 = q296==2 if q296<.
39
+ gen commit16 = q295 ==2 if q295<.
40
+
41
+ *** Generate additional variables ***
42
+ /*** These variables are the amounts, per attendance, by which a person
43
+ "overpays" for the increase in incentive. Second-order approximation */
44
+ gen delta1=(wtp1) - (days_1+days_0)/2
45
+ gen delta2 = (wtp2-wtp1) - (days_2+days_1)/2
46
+ gen delta3=(wtp3-wtp2) - (days_3+days_2)/2
47
+ gen delta5=(wtp5-wtp3)/(5-3) - (days_5+days_3)/2
48
+ gen delta7=(wtp7-wtp5)/(7-5) - (days_7+days_5)/2
49
+ gen delta12=(wtp12-wtp7)/(12-7) - (days_12+days_7)/2
50
+
51
+ gen avg_delta = (delta1 + delta2+delta3 + delta5 + delta7 + delta12)/6
52
+ gen avg_delta_ex1 = (delta2+delta3 + delta5 + delta7 + delta12)/5
53
+
54
+ *** Change in days by incentive
55
+ gen diffa1=(days_1-days_0)
56
+ gen diffa2=(days_2-days_1)
57
+ gen diffa3=(days_3-days_2)
58
+ gen diffa5=(days_5-days_3)/2
59
+ gen diffa7=(days_7-days_5)/2
60
+ gen diffa12=(days_12-days_7)/5
61
+ gen avg_diffa=(diffa1+diffa2+diffa3+diffa5+diffa7+diffa12)/6
62
+ gen avg_diffa_ex1=(diffa2+diffa3+diffa5+diffa7+diffa12)/5
63
+
64
+ *** Indicator for rejecting 12+ visits contract
65
+ gen nocommit12 = !commit12
66
+
67
+ *** Generate estimates for graphing below ***
68
+ foreach k in 0 1 2 3 5 7 12{
69
+
70
+ foreach cdtn in "" "&commit12==1" "&first_info!=1" "&commit12==1&first_info!=1"{
71
+
72
+ if "`cdtn'" == "" loc n ""
73
+ else if "`cdtn'" == "&commit12==1" loc n "_c12"
74
+ else if "`cdtn'" == "&first_info!=1" loc n "_inf"
75
+ else loc n "_infc12"
76
+
77
+ ci means days_`k' if flag_exclude_exog==0&flag_low_wtp==0 `cdtn'
78
+ * Store estimates in unique variables
79
+ local mean = r(mean)
80
+ local ub = r(ub)
81
+ local lb = r(lb)
82
+ gen mean_days`n'_`k' = `mean'
83
+ gen ub_days`n'_`k' = `ub'
84
+ gen lb_days`n'_`k' = `lb'
85
+
86
+
87
+ if `k' != 1 & `k' != 3 & `k' != 12{
88
+ ci means visits if incentive == `k' &flag_exclude_exog==0& ///
89
+ flag_low_wtp==0 `cdtn'
90
+ * Store estimates in unique variables
91
+ local mean = r(mean)
92
+ local ub = r(ub)
93
+ local lb = r(lb)
94
+ gen mean_visits`n'_`k' = `mean'
95
+ gen ub_visits`n'_`k' = `ub'
96
+ gen lb_visits`n'_`k' = `lb'
97
+
98
+ if "`n'" == "_inf"{
99
+ * Store number of observations
100
+ if `k' == 0 loc num "zero"
101
+ else if `k' == 2 loc num "two"
102
+ else if `k' == 5 loc num "five"
103
+ else loc num "seven"
104
+ latex_write incentive`num'infobs `r(N)' numbers
105
+ }
106
+ }
107
+ }
108
+ }
109
+
110
+ *For heterogeneity analysis
111
+ sum commit12 if flag_low_wtp==0&flag_exclude_exog==0&incentive!=.
112
+ loc totalobs = r(N)
113
+ sum commit12 if flag_low_wtp==0&flag_exclude_exog==0&incentive!=.&(control_info==1|new_info==1)
114
+ loc obs : di %5.0fc `r(N)'
115
+ latex_write minfoavgobspe `obs' numbers
116
+ loc obs : di %5.0fc `totalobs'-`r(N)'
117
+ latex_write infodropobs `obs' numbers
118
+ sum commit12 if flag_low_wtp==0&flag_exclude_exog==0&incentive!=.&(control_info==1|new_info==1)&flag_confusion!=1
119
+ loc obs : di %5.0fc `r(N)'
120
+ latex_write minfoavgnoconfusedobspe `obs' numbers
121
+
122
+ *** Reshape data and generate additional variables ***
123
+ preserve
124
+ reshape long days_ mean_days_ ub_days_ lb_days_ ///
125
+ mean_visits_ ub_visits_ lb_visits_ ///
126
+ mean_days_c12_ ub_days_c12_ lb_days_c12_ ///
127
+ mean_visits_c12_ ub_visits_c12_ lb_visits_c12_ ///
128
+ mean_days_inf_ ub_days_inf_ lb_days_inf_ ///
129
+ mean_visits_inf_ ub_visits_inf_ lb_visits_inf_ ///
130
+ mean_days_infc12_ ub_days_infc12_ lb_days_infc12_ ///
131
+ mean_visits_infc12_ ub_visits_infc12_ lb_visits_infc12_, i(id) j(prize)
132
+ rename days_ days
133
+ gen prize2=prize^2
134
+ gen incentivesq=incentive^2
135
+
136
+ gen visits12=visits>=12
137
+ gen getcommit=treatment=="threshold80_12"
138
+
139
+ ** Create programs to write to latex file **
140
+ ** NOTE: these are specific to the commands run below **
141
+ cap program drop latex_write_gmm latex_write_nlcom
142
+
143
+ program define latex_write_gmm
144
+ loc obs : di %5.0fc `e(N_clust)'
145
+ latex_write `1'obspe `obs' `2'
146
+ loc k = 1 // lambda is in the first position
147
+ foreach param in lambda betatilde b beta {
148
+ if `k' == 1 loc fig : di %4.3f [`param']_cons
149
+ else loc fig : di %4.2f [`param']_cons // store estimate
150
+ latex_write `param'`1' `fig' `2'
151
+ matrix temp = e(V)
152
+ loc lb : di %4.2f [`param']_cons - invnormal(0.975)*sqrt(el(temp,`k',`k'))
153
+ loc ub : di %4.2f [`param']_cons + invnormal(0.975)*sqrt(el(temp,`k',`k'))
154
+ loc ci : di "(`lb', `ub')"
155
+ latex_write `param'`1'CI "`ci'" `2'
156
+ loc ++k
157
+ }
158
+ end
159
+
160
+ program define latex_write_nlcom
161
+ matrix tempb = r(b)
162
+ matrix tempv = r(V)
163
+ loc fig : di %4.2f tempb[1,1]
164
+ loc lb : di %4.2f tempb[1,1] - invnormal(0.975)*sqrt(tempv[1,1])
165
+ loc ub : di %4.2f tempb[1,1] + invnormal(0.975)*sqrt(tempv[1,1])
166
+ loc ci : di "(`lb', `ub')"
167
+ latex_write `1' `fig' `2'
168
+ latex_write `1'CI "`ci'" `2'
169
+ end
170
+
171
+
172
+ ********** Structural estimates ***********************************************
173
+
174
+ foreach v in "" "+5" "-10" "+0"{ // minimal cost draws of 0, -5, and 10
175
+
176
+ *declare locals for naming different versions & storing results
177
+ if "`v'" == ""{
178
+ loc o ""
179
+ loc lx "numbers_struct"
180
+ }
181
+ else if "`v'" == "+5"{
182
+ loc o "V"
183
+ loc lx "numbers_struct_appx"
184
+ }
185
+ else if "`v'" == "-10"{
186
+ loc o "X"
187
+ loc lx "numbers_struct_appx"
188
+ }
189
+ else{
190
+ loc o "noconfused"
191
+ loc lx "numbers_struct_appx"
192
+ drop if flag_confusion==1 // dropping those flagged for possible confusion
193
+ }
194
+
195
+ ********* Overall estimates ***************************************************
196
+ gmm (eq1:28*(1-exp(-{lambda}*({betatilde}*({b}+prize)`v')))-days) ///
197
+ (eq2: 28*(1-exp(-{lambda}*({beta}*({b}+incentive)`v')))-visits) ///
198
+ (eq3: (1-{betatilde})*diffa2*({b}+(1+2)/2)-delta2) ///
199
+ (eq4: (1-{betatilde})*diffa3*({b}+(2+3)/2)-delta3) ///
200
+ (eq5: (1-{betatilde})*diffa5*({b}+(3+5)/2)-delta5) ///
201
+ (eq6: (1-{betatilde})*diffa7*({b}+(5+7)/2)-delta7) ///
202
+ (eq7: (1-{betatilde})*diffa12*({b}+(7+12)/2)-delta12) ///
203
+ if flag_low_wtp==0&flag_exclude_exog==0&incentive!=., ///
204
+ instruments (eq1: prize prize2) instruments(eq2:incentive incentivesq) ///
205
+ from (b 8 lambda 0.06 beta 0.5 betatilde 0.8) vce(cluster id) winitial(identity) nolog
206
+ latex_write_gmm all`o' `lx' // store estimates
207
+
208
+ *actual internality:
209
+ nlcom (1-[beta]_cons)*[b]_cons
210
+ latex_write_nlcom aintall`o' `lx' // store estimates
211
+
212
+ *naivete statistic:
213
+ nlcom (1-[betatilde]_cons)/(1-[beta]_cons)
214
+ latex_write_nlcom naiveall`o' `lx' // store estimates
215
+
216
+ *expected cost
217
+ nlcom 1/[lambda]_cons
218
+ latex_write_nlcom expcostall`o' `lx' // store estimate
219
+
220
+
221
+ if "`v'" == ""{ // only for baseline
222
+ *compute approx. error in behavior change premium from assumptions
223
+ foreach p in 1 2 3 5 7{ // baseline incentive level
224
+
225
+ *increase in incentive
226
+ if `p' == 1 | `p' == 2 loc delta = 1
227
+ else if `p' == 3 | `p' == 5 loc delta = 2
228
+ else loc delta = 5
229
+
230
+ * compute error numerator
231
+ loc error_numerator = ///
232
+ `delta' - ( ( exp(-[lambda]_cons*[betatilde]_cons*([b]_cons + `p')) / ([lambda]_cons*[betatilde]_cons) ) * (1 - exp(-[lambda]_cons*[betatilde]_cons*`delta')) ) - ///
233
+ ( `delta' * ( 1 - ( exp(-[lambda]_cons*[betatilde]_cons*([b]_cons + `p')) * ( (1 + exp(-[lambda]_cons*[betatilde]_cons*`delta')) / 2 ) ) ) )
234
+
235
+ * compute error denominator
236
+ loc error_denominator = ///
237
+ ( (1 - [betatilde]_cons) * ( [b]_cons*exp(-[lambda]_cons*[betatilde]_cons*([b]_cons + `p')) ) * (1 - exp(-[lambda]_cons*[betatilde]_cons*`delta')) ) + ///
238
+ ( (1 - [betatilde]_cons) * exp(-[lambda]_cons*[betatilde]_cons*[b]_cons) * ( `p' + ( (1/([lambda]_cons*[betatilde]_cons)) * (1 - (1 + ([lambda]_cons*[betatilde]_cons*`delta'))*exp(-[lambda]_cons*[betatilde]_cons*`delta') ) ) ) )
239
+
240
+ *compute the error in percentage terms
241
+ loc error : di %4.2f abs(`error_numerator'/`error_denominator')*100
242
+
243
+ * export error
244
+ if `p' == 1 & `delta' == 1 loc errorname "poneDone"
245
+ else if `p' == 2 & `delta' == 1 loc errorname "ptwoDone"
246
+ else if `p' == 3 & `delta' == 2 loc errorname "pthreeDtwo"
247
+ else if `p' == 5 & `delta' == 2 loc errorname "pfiveDtwo"
248
+ else loc errorname "psevenDfive"
249
+ latex_write `errorname'error `error' numbers_struct
250
+
251
+ }
252
+ }
253
+
254
+ *generate 95% CIs for model values
255
+ if "`v'" == ""{ // generate plotting variable in the first loop only
256
+ global obs = _N
257
+ loc num = _N+241
258
+ set obs `num'
259
+ gen plot_incentive = .
260
+ forval i = 0(.05)12.05{
261
+ qui replace plot_incentive = `i' if _n == $obs + (`i'*20) + 1
262
+ }
263
+ }
264
+ if "`v'" != "+0"{
265
+ predictnl mean_days_pred`o' = 28*(1-exp(-[lambda]_cons*([betatilde]_cons*([b]_cons+plot_incentive)`v'))) ///
266
+ if _n > $obs, ci(lb_days_pred`o' ub_days_pred`o') level(95)
267
+ predictnl mean_visits_pred`o' = 28*(1-exp(-[lambda]_cons*([beta]_cons*([b]_cons+plot_incentive)`v'))) ///
268
+ if _n > $obs, ci(lb_visits_pred`o' ub_visits_pred`o') level(95)
269
+
270
+ *plot model with actual data
271
+ twoway (conn mean_days_pred`o' plot_incentive, lcolor(black) m(none)) ///
272
+ (conn ub_days_pred`o' plot_incentive, lc(black) lp(shortdash) m(none)) ///
273
+ (conn lb_days_pred`o' plot_incentive, lc(black) lp(shortdash) m(none)) ///
274
+ (sc mean_days_ prize, msize(small) color(black)) ///
275
+ (rcap ub_days_ lb_days_ prize, lcolor(black) lwidth(medium) lpattern(dash)) ///
276
+ (conn mean_visits_pred`o' plot_incentive, lcolor(red) m(none)) ///
277
+ (conn ub_visits_pred`o' plot_incentive, lc(red) lp(shortdash) m(none)) ///
278
+ (conn lb_visits_pred`o' plot_incentive, lc(red) lp(shortdash) m(none)) ///
279
+ (sc mean_visits_ prize, m(square) msize(small) color(red)) ///
280
+ (rcap ub_visits_ lb_visits_ prize, lcolor(red) lwidth(medium) lpattern(dash)), ///
281
+ xlab(0(1)12) ylabel(0(5)22, angle(0)) ///
282
+ xtitle("Per-visit incentive ($)", height(6)) ytitle("Visits", height(6)) ///
283
+ graphregion(color(white)) plotregion(margin(sides)) ///
284
+ legend(order(1 2 6 7 4 9) label(1 "Predicted expected visits") label(2 "Prediction 95% CI") label(4 "Average expected visits") label(6 "Predicted realized visits") label(7 "Prediction 95% CI") label(9 "Average realized visits")) legend(rows(3))
285
+ graph export overconfidence_estimates`o'.pdf, replace
286
+ }
287
+
288
+
289
+ ********* Waves exclusions ****************************************************
290
+ if "`v'" == ""{ // only for baseline
291
+
292
+ foreach i in 1 3{ // loop through wave number to be excluded
293
+
294
+ if `i' == 1 loc wname "wtwothree"
295
+ else loc wname "wonetwo"
296
+
297
+ gmm (eq1:28*(1-exp(-{lambda}*({betatilde}*({b}+prize)`v')))-days) ///
298
+ (eq2: 28*(1-exp(-{lambda}*({beta}*({b}+incentive)`v')))-visits) ///
299
+ (eq3: (1-{betatilde})*diffa2*({b}+(1+2)/2)-delta2) ///
300
+ (eq4: (1-{betatilde})*diffa3*({b}+(2+3)/2)-delta3) ///
301
+ (eq5: (1-{betatilde})*diffa5*({b}+(3+5)/2)-delta5) ///
302
+ (eq6: (1-{betatilde})*diffa7*({b}+(5+7)/2)-delta7) ///
303
+ (eq7: (1-{betatilde})*diffa12*({b}+(7+12)/2)-delta12) ///
304
+ if flag_low_wtp==0&flag_exclude_exog==0&incentive!=.&wave`i'==0, ///
305
+ instruments (eq1: prize prize2) instruments(eq2:incentive incentivesq) ///
306
+ from (b 8 lambda 0.06 beta 0.5 betatilde 0.8) vce(cluster id) winitial(identity) nolog
307
+ latex_write_gmm `wname' `lx' // store estimates
308
+
309
+ *actual internality:
310
+ nlcom (1-[beta]_cons)*[b]_cons
311
+ latex_write_nlcom aint`wname' `lx' // store estimates
312
+
313
+ *naivete statistic:
314
+ nlcom (1-[betatilde]_cons)/(1-[beta]_cons)
315
+ latex_write_nlcom naive`wname' `lx' // store estimates
316
+
317
+ *expected cost
318
+ nlcom 1/[lambda]_cons
319
+ latex_write_nlcom expcost`wname' `lx' // store estimate
320
+
321
+ }
322
+ }
323
+
324
+
325
+ ********** Information ********************************************************
326
+ * information control group
327
+ gmm (eq1:28*(1-exp(-{lambda}*({betatilde}*({b}+prize)`v')))-days) ///
328
+ (eq2: 28*(1-exp(-{lambda}*({beta}*({b}+incentive)`v')))-visits) ///
329
+ (eq3: (1-{betatilde})*diffa2*({b}+(1+2)/2)-delta2) ///
330
+ (eq4: (1-{betatilde})*diffa3*({b}+(2+3)/2)-delta3) ///
331
+ (eq5: (1-{betatilde})*diffa5*({b}+(3+5)/2)-delta5) ///
332
+ (eq6: (1-{betatilde})*diffa7*({b}+(5+7)/2)-delta7) ///
333
+ (eq7: (1-{betatilde})*diffa12*({b}+(7+12)/2)-delta12) ///
334
+ if flag_low_wtp==0&flag_exclude_exog==0&incentive!=.&control_info==1, ///
335
+ instruments (eq1: prize prize2) instruments(eq2:incentive incentivesq) ///
336
+ from (b 8 lambda 0.06 beta 0.5 betatilde 0.8) vce(cluster id) winitial(identity) nolog
337
+ latex_write_gmm control`o' `lx'
338
+
339
+ *actual internality:
340
+ nlcom (1-[beta]_cons)*[b]_cons
341
+ latex_write_nlcom aintcontrol`o' `lx'
342
+
343
+ *naivete statistic:
344
+ nlcom (1-[betatilde]_cons)/(1-[beta]_cons)
345
+ latex_write_nlcom naivecontrol`o' `lx'
346
+
347
+ *expected cost
348
+ nlcom 1/[lambda]_cons
349
+ latex_write_nlcom expcostcontrol`o' `lx' // store estimate
350
+
351
+ * enhanced information treatment group
352
+ gmm (eq1:28*(1-exp(-{lambda}*({betatilde}*({b}+prize)`v')))-days) ///
353
+ (eq2: 28*(1-exp(-{lambda}*({beta}*({b}+incentive)`v')))-visits) ///
354
+ (eq3: (1-{betatilde})*diffa2*({b}+(1+2)/2)-delta2) ///
355
+ (eq4: (1-{betatilde})*diffa3*({b}+(2+3)/2)-delta3) ///
356
+ (eq5: (1-{betatilde})*diffa5*({b}+(3+5)/2)-delta5) ///
357
+ (eq6: (1-{betatilde})*diffa7*({b}+(5+7)/2)-delta7) ///
358
+ (eq7: (1-{betatilde})*diffa12*({b}+(7+12)/2)-delta12) ///
359
+ if flag_low_wtp==0&flag_exclude_exog==0&incentive!=.&new_info==1, ///
360
+ instruments (eq1: prize prize2) instruments(eq2:incentive incentivesq) ///
361
+ from (b 8 lambda 0.06 beta 0.5 betatilde 0.8) vce(cluster id) winitial(identity) nolog
362
+ latex_write_gmm treat`o' `lx'
363
+
364
+ *actual internality:
365
+ nlcom (1-[beta]_cons)*[b]_cons
366
+ latex_write_nlcom ainttreat`o' `lx'
367
+
368
+ *naivete statistic:
369
+ nlcom (1-[betatilde]_cons)/(1-[beta]_cons)
370
+ latex_write_nlcom naivetreat`o' `lx'
371
+
372
+ *expected cost
373
+ nlcom 1/[lambda]_cons
374
+ latex_write_nlcom expcosttreat`o' `lx'
375
+
376
+
377
+ ********** Past attendance ****************************************************
378
+ if "`v'" == ""{ // generate in first loop only
379
+ sum past4 if flag_low_wtp==0&flag_exclude_exog==0&incentive!=.,d
380
+ loc q1past4=r(p25)
381
+ loc medpast4=r(p50)
382
+ loc q3past4=r(p75)
383
+ gen abovemedpast4=past4>=`medpast4'
384
+ gen belowmedpast4=past4<`medpast4'
385
+ gen qpast4=1 if past4<`q1past4'
386
+ replace qpast4=2 if past4>=`q1past4'&past4<`medpast4'
387
+ replace qpast4=3 if past4>=`medpast4'&past4<`q3past4'
388
+ replace qpast4=4 if past4>=`q3past4'
389
+ }
390
+
391
+ *by median
392
+ foreach r in "0" "1"{
393
+
394
+ if "`r'"=="0" loc name "bm"
395
+ else loc name "am"
396
+
397
+ gmm (eq1:28*(1-exp(-{lambda}*({betatilde}*({b}+prize)`v')))-days) ///
398
+ (eq2: 28*(1-exp(-{lambda}*({beta}*({b}+incentive)`v')))-visits) ///
399
+ (eq3: (1-{betatilde})*diffa2*({b}+(1+2)/2)-delta2) ///
400
+ (eq4: (1-{betatilde})*diffa3*({b}+(2+3)/2)-delta3) ///
401
+ (eq5: (1-{betatilde})*diffa5*({b}+(3+5)/2)-delta5) ///
402
+ (eq6: (1-{betatilde})*diffa7*({b}+(5+7)/2)-delta7) ///
403
+ (eq7: (1-{betatilde})*diffa12*({b}+(7+12)/2)-delta12) ///
404
+ if flag_low_wtp==0&flag_exclude_exog==0&incentive!=.&abovemedpast4==`r', ///
405
+ instruments (eq1: prize prize2) instruments(eq2:incentive incentivesq) ///
406
+ from (b 8 lambda 0.06 beta 0.5 betatilde 0.8) vce(cluster id) winitial(identity) nolog
407
+ latex_write_gmm `name'`o' `lx'
408
+
409
+ *actual internality:
410
+ nlcom (1-[beta]_cons)*[b]_cons
411
+ latex_write_nlcom aint`name'`o' `lx'
412
+
413
+ *naivete statistic:
414
+ nlcom (1-[betatilde]_cons)/(1-[beta]_cons)
415
+ latex_write_nlcom naive`name'`o' `lx'
416
+
417
+ *expected cost
418
+ nlcom 1/[lambda]_cons
419
+ latex_write_nlcom expcost`name'`o' `lx'
420
+
421
+ }
422
+
423
+
424
+ *by median, info treatment, and take-up of 12+ contract - averages with CIs
425
+ loc name "het`o'"
426
+
427
+ *share in each group
428
+ sum commit12 if first_info!=1&flag_low_wtp==0&flag_exclude_exog==0&incentive!=.
429
+ loc propcommit12het = r(mean)
430
+ sum abovemedpast4 if flag_low_wtp==0&flag_exclude_exog==0&incentive!=.&commit12==1
431
+ loc meanam = r(mean)
432
+ sum control_info if first_info!=1&flag_low_wtp==0&flag_exclude_exog==0&incentive!=.&commit12==1&abovemedpast4==1
433
+ loc propamctrlcommit`o' = `meanam'*r(mean)*`propcommit12het'
434
+ loc propaminfocommit`o' = `meanam'*(1 - r(mean))*`propcommit12het'
435
+ sum control_info if first_info!=1&flag_low_wtp==0&flag_exclude_exog==0&incentive!=.&commit12==1&abovemedpast4==0
436
+ loc propbmctrlcommit`o' = (1 - `meanam')*r(mean)*`propcommit12het'
437
+ loc propbminfocommit`o' = (1 - `meanam')*(1 - r(mean))*`propcommit12het'
438
+ sum abovemedpast4 if flag_low_wtp==0&flag_exclude_exog==0&incentive!=.&commit12==0
439
+ loc meanam = r(mean)
440
+ sum control_info if first_info!=1&flag_low_wtp==0&flag_exclude_exog==0&incentive!=.&commit12==0&abovemedpast4==1
441
+ loc propamctrlnocommit`o' = `meanam'*r(mean)*(1 - `propcommit12het')
442
+ loc propaminfonocommit`o' = `meanam'*(1 - r(mean))*(1 - `propcommit12het')
443
+ sum control_info if first_info!=1&flag_low_wtp==0&flag_exclude_exog==0&incentive!=.&commit12==0&abovemedpast4==0
444
+ loc propbmctrlnocommit`o' = (1 - `meanam')*r(mean)*(1 - `propcommit12het')
445
+ loc propbminfonocommit`o' = (1 - `meanam')*(1 - r(mean))*(1 - `propcommit12het')
446
+
447
+ gmm (eq1:28*(1-exp(-{lambda0}*({betatilde0}*({b0}+prize)`v')))*control_info*abovemedpast4*commit12-days*control_info*abovemedpast4*commit12) ///
448
+ (eq2: 28*(1-exp(-{lambda0}*({beta0}*({b0}+incentive)`v')))*control_info*abovemedpast4*commit12-visits*control_info*abovemedpast4*commit12) ///
449
+ (eq3: (1-{betatilde0})*diffa2*({b0}+(1+2)/2)*control_info*abovemedpast4*commit12-delta2*control_info*abovemedpast4*commit12) ///
450
+ (eq4: (1-{betatilde0})*diffa3*({b0}+(2+3)/2)*control_info*abovemedpast4*commit12-delta3*control_info*abovemedpast4*commit12) ///
451
+ (eq5: (1-{betatilde0})*diffa5*({b0}+(3+5)/2)*control_info*abovemedpast4*commit12-delta5*control_info*abovemedpast4*commit12) ///
452
+ (eq6: (1-{betatilde0})*diffa7*({b0}+(5+7)/2)*control_info*abovemedpast4*commit12-delta7*control_info*abovemedpast4*commit12) ///
453
+ (eq7: (1-{betatilde0})*diffa12*({b0}+(7+12)/2)*control_info*abovemedpast4*commit12-delta12*control_info*abovemedpast4*commit12) ///
454
+ (eq1b:28*(1-exp(-{lambda1}*({betatilde1}*({b1}+prize)`v')))*new_info*abovemedpast4*commit12-days*new_info*abovemedpast4*commit12) ///
455
+ (eq2b: 28*(1-exp(-{lambda1}*({beta1}*({b1}+incentive)`v')))*new_info*abovemedpast4*commit12-visits*new_info*abovemedpast4*commit12) ///
456
+ (eq3b: (1-{betatilde1})*diffa2*({b1}+(1+2)/2)*new_info*abovemedpast4*commit12-delta2*new_info*abovemedpast4*commit12) ///
457
+ (eq4b: (1-{betatilde1})*diffa3*({b1}+(2+3)/2)*new_info*abovemedpast4*commit12-delta3*new_info*abovemedpast4*commit12) ///
458
+ (eq5b: (1-{betatilde1})*diffa5*({b1}+(3+5)/2)*new_info*abovemedpast4*commit12-delta5*new_info*abovemedpast4*commit12) ///
459
+ (eq6b: (1-{betatilde1})*diffa7*({b1}+(5+7)/2)*new_info*abovemedpast4*commit12-delta7*new_info*abovemedpast4*commit12) ///
460
+ (eq7b: (1-{betatilde1})*diffa12*({b1}+(7+12)/2)*new_info*abovemedpast4*commit12-delta12*new_info*abovemedpast4*commit12) ///
461
+ (eq1c:28*(1-exp(-{lambda2}*({betatilde2}*({b2}+prize)`v')))*control_info*belowmedpast4*commit12-days*control_info*belowmedpast4*commit12) ///
462
+ (eq2c: 28*(1-exp(-{lambda2}*({beta2}*({b2}+incentive)`v')))*control_info*belowmedpast4*commit12-visits*control_info*belowmedpast4*commit12) ///
463
+ (eq3c: (1-{betatilde2})*diffa2*({b2}+(1+2)/2)*control_info*belowmedpast4*commit12-delta2*control_info*belowmedpast4*commit12) ///
464
+ (eq4c: (1-{betatilde2})*diffa3*({b2}+(2+3)/2)*control_info*belowmedpast4*commit12-delta3*control_info*belowmedpast4*commit12) ///
465
+ (eq5c: (1-{betatilde2})*diffa5*({b2}+(3+5)/2)*control_info*belowmedpast4*commit12-delta5*control_info*belowmedpast4*commit12) ///
466
+ (eq6c: (1-{betatilde2})*diffa7*({b2}+(5+7)/2)*control_info*belowmedpast4*commit12-delta7*control_info*belowmedpast4*commit12) ///
467
+ (eq7c: (1-{betatilde2})*diffa12*({b2}+(7+12)/2)*control_info*belowmedpast4*commit12-delta12*control_info*belowmedpast4*commit12) ///
468
+ (eq1d:28*(1-exp(-{lambda3}*({betatilde3}*({b3}+prize)`v')))*new_info*belowmedpast4*commit12-days*new_info*belowmedpast4*commit12) ///
469
+ (eq2d: 28*(1-exp(-{lambda3}*({beta3}*({b3}+incentive)`v')))*new_info*belowmedpast4*commit12-visits*new_info*belowmedpast4*commit12) ///
470
+ (eq3d: (1-{betatilde3})*diffa2*({b3}+(1+2)/2)*new_info*belowmedpast4*commit12-delta2*new_info*belowmedpast4*commit12) ///
471
+ (eq4d: (1-{betatilde3})*diffa3*({b3}+(2+3)/2)*new_info*belowmedpast4*commit12-delta3*new_info*belowmedpast4*commit12) ///
472
+ (eq5d: (1-{betatilde3})*diffa5*({b3}+(3+5)/2)*new_info*belowmedpast4*commit12-delta5*new_info*belowmedpast4*commit12) ///
473
+ (eq6d: (1-{betatilde3})*diffa7*({b3}+(5+7)/2)*new_info*belowmedpast4*commit12-delta7*new_info*belowmedpast4*commit12) ///
474
+ (eq7d: (1-{betatilde3})*diffa12*({b3}+(7+12)/2)*new_info*belowmedpast4*commit12-delta12*new_info*belowmedpast4*commit12) ///
475
+ (eq1e:28*(1-exp(-{lambda4}*({betatilde4}*({b4}+prize)`v')))*control_info*abovemedpast4*nocommit12-days*control_info*abovemedpast4*nocommit12) ///
476
+ (eq2e: 28*(1-exp(-{lambda4}*({beta4}*({b4}+incentive)`v')))*control_info*abovemedpast4*nocommit12-visits*control_info*abovemedpast4*nocommit12) ///
477
+ (eq3e: (1-{betatilde4})*diffa2*({b4}+(1+2)/2)*control_info*abovemedpast4*nocommit12-delta2*control_info*abovemedpast4*nocommit12) ///
478
+ (eq4e: (1-{betatilde4})*diffa3*({b4}+(2+3)/2)*control_info*abovemedpast4*nocommit12-delta3*control_info*abovemedpast4*nocommit12) ///
479
+ (eq5e: (1-{betatilde4})*diffa5*({b4}+(3+5)/2)*control_info*abovemedpast4*nocommit12-delta5*control_info*abovemedpast4*nocommit12) ///
480
+ (eq6e: (1-{betatilde4})*diffa7*({b4}+(5+7)/2)*control_info*abovemedpast4*nocommit12-delta7*control_info*abovemedpast4*nocommit12) ///
481
+ (eq7e: (1-{betatilde4})*diffa12*({b4}+(7+12)/2)*control_info*abovemedpast4*nocommit12-delta12*control_info*abovemedpast4*nocommit12) ///
482
+ (eq1f:28*(1-exp(-{lambda5}*({betatilde5}*({b5}+prize)`v')))*new_info*abovemedpast4*nocommit12-days*new_info*abovemedpast4*nocommit12) ///
483
+ (eq2f: 28*(1-exp(-{lambda5}*({beta5}*({b5}+incentive)`v')))*new_info*abovemedpast4*nocommit12-visits*new_info*abovemedpast4*nocommit12) ///
484
+ (eq3f: (1-{betatilde5})*diffa2*({b5}+(1+2)/2)*new_info*abovemedpast4*nocommit12-delta2*new_info*abovemedpast4*nocommit12) ///
485
+ (eq4f: (1-{betatilde5})*diffa3*({b5}+(2+3)/2)*new_info*abovemedpast4*nocommit12-delta3*new_info*abovemedpast4*nocommit12) ///
486
+ (eq5f: (1-{betatilde5})*diffa5*({b5}+(3+5)/2)*new_info*abovemedpast4*nocommit12-delta5*new_info*abovemedpast4*nocommit12) ///
487
+ (eq6f: (1-{betatilde5})*diffa7*({b5}+(5+7)/2)*new_info*abovemedpast4*nocommit12-delta7*new_info*abovemedpast4*nocommit12) ///
488
+ (eq7f: (1-{betatilde5})*diffa12*({b5}+(7+12)/2)*new_info*abovemedpast4*nocommit12-delta12*new_info*abovemedpast4*nocommit12) ///
489
+ (eq1g:28*(1-exp(-{lambda6}*({betatilde6}*({b6}+prize)`v')))*control_info*belowmedpast4*nocommit12-days*control_info*belowmedpast4*nocommit12) ///
490
+ (eq2g: 28*(1-exp(-{lambda6}*({beta6}*({b6}+incentive)`v')))*control_info*belowmedpast4*nocommit12-visits*control_info*belowmedpast4*nocommit12) ///
491
+ (eq3g: (1-{betatilde6})*diffa2*({b6}+(1+2)/2)*control_info*belowmedpast4*nocommit12-delta2*control_info*belowmedpast4*nocommit12) ///
492
+ (eq4g: (1-{betatilde6})*diffa3*({b6}+(2+3)/2)*control_info*belowmedpast4*nocommit12-delta3*control_info*belowmedpast4*nocommit12) ///
493
+ (eq5g: (1-{betatilde6})*diffa5*({b6}+(3+5)/2)*control_info*belowmedpast4*nocommit12-delta5*control_info*belowmedpast4*nocommit12) ///
494
+ (eq6g: (1-{betatilde6})*diffa7*({b6}+(5+7)/2)*control_info*belowmedpast4*nocommit12-delta7*control_info*belowmedpast4*nocommit12) ///
495
+ (eq7g: (1-{betatilde6})*diffa12*({b6}+(7+12)/2)*control_info*belowmedpast4*nocommit12-delta12*control_info*belowmedpast4*nocommit12) ///
496
+ (eq1h:28*(1-exp(-{lambda7}*({betatilde7}*({b7}+prize)`v')))*new_info*belowmedpast4*nocommit12-days*new_info*belowmedpast4*nocommit12) ///
497
+ (eq2h: 28*(1-exp(-{lambda7}*({beta7}*({b7}+incentive)`v')))*new_info*belowmedpast4*nocommit12-visits*new_info*belowmedpast4*nocommit12) ///
498
+ (eq3h: (1-{betatilde7})*diffa2*({b7}+(1+2)/2)*new_info*belowmedpast4*nocommit12-delta2*new_info*belowmedpast4*nocommit12) ///
499
+ (eq4h: (1-{betatilde7})*diffa3*({b7}+(2+3)/2)*new_info*belowmedpast4*nocommit12-delta3*new_info*belowmedpast4*nocommit12) ///
500
+ (eq5h: (1-{betatilde7})*diffa5*({b7}+(3+5)/2)*new_info*belowmedpast4*nocommit12-delta5*new_info*belowmedpast4*nocommit12) ///
501
+ (eq6h: (1-{betatilde7})*diffa7*({b7}+(5+7)/2)*new_info*belowmedpast4*nocommit12-delta7*new_info*belowmedpast4*nocommit12) ///
502
+ (eq7h: (1-{betatilde7})*diffa12*({b7}+(7+12)/2)*new_info*belowmedpast4*nocommit12-delta12*new_info*belowmedpast4*nocommit12) ///
503
+ if flag_low_wtp==0&flag_exclude_exog==0&incentive!=.&(control_info==1|new_info==1), ///
504
+ instruments(eq1: prize prize2) instruments(eq2:incentive incentivesq) ///
505
+ instruments(eq1b: prize prize2) instruments(eq2b:incentive incentivesq) ///
506
+ instruments(eq1c: prize prize2) instruments(eq2c:incentive incentivesq) ///
507
+ instruments(eq1d: prize prize2) instruments(eq2d:incentive incentivesq) ///
508
+ instruments(eq1e: prize prize2) instruments(eq2e:incentive incentivesq) ///
509
+ instruments(eq1f: prize prize2) instruments(eq2f:incentive incentivesq) ///
510
+ instruments(eq1g: prize prize2) instruments(eq2g:incentive incentivesq) ///
511
+ instruments(eq1h: prize prize2) instruments(eq2h:incentive incentivesq) ///
512
+ from (b7 8 b6 8 b5 8 b4 8 b3 8 b2 8 b1 8 b0 8 lambda7 0.06 lambda6 0.06 lambda5 0.06 lambda4 0.06 lambda3 0.06 lambda2 0.06 lambda1 0.06 lambda0 0.06 beta7 0.5 beta6 0.5 beta5 0.5 beta4 0.5 beta3 0.5 beta2 0.5 beta1 0.5 beta0 0.5 betatilde7 0.8 betatilde6 0.8 betatilde5 0.8 betatilde4 0.8 betatilde3 0.8 betatilde2 0.8 betatilde1 0.8 betatilde0 0.8) ///
513
+ vce(cluster id) winitial(identity)
514
+ foreach p in b lambda beta betatilde{
515
+ nlcom [`p'0]_cons*`propamctrlcommit`o'' + ///
516
+ [`p'1]_cons*`propaminfocommit`o'' + ///
517
+ [`p'2]_cons*`propbmctrlcommit`o'' + ///
518
+ [`p'3]_cons*`propbminfocommit`o'' + ///
519
+ [`p'4]_cons*`propamctrlnocommit`o'' + ///
520
+ [`p'5]_cons*`propaminfonocommit`o'' + ///
521
+ [`p'6]_cons*`propbmctrlnocommit`o'' + ///
522
+ [`p'7]_cons*`propbminfonocommit`o''
523
+ latex_write_nlcom `p'minfoavg`name' `lx'
524
+ }
525
+
526
+ *actual internality:
527
+ nlcom (1-[beta0]_cons)*[b0]_cons*`propamctrlcommit`o'' + ///
528
+ (1-[beta1]_cons)*[b1]_cons*`propaminfocommit`o'' + ///
529
+ (1-[beta2]_cons)*[b2]_cons*`propbmctrlcommit`o'' + ///
530
+ (1-[beta3]_cons)*[b3]_cons*`propbminfocommit`o'' + ///
531
+ (1-[beta4]_cons)*[b4]_cons*`propamctrlnocommit`o'' + ///
532
+ (1-[beta5]_cons)*[b5]_cons*`propaminfonocommit`o'' + ///
533
+ (1-[beta6]_cons)*[b6]_cons*`propbmctrlnocommit`o'' + ///
534
+ (1-[beta7]_cons)*[b7]_cons*`propbminfonocommit`o''
535
+ latex_write_nlcom aintminfoavg`name' `lx'
536
+
537
+ *naivete statistic:
538
+ nlcom (1-[betatilde0]_cons)/(1-[beta0]_cons)*`propamctrlcommit`o'' + ///
539
+ (1-[betatilde1]_cons)/(1-[beta1]_cons)*`propaminfocommit`o'' + ///
540
+ (1-[betatilde2]_cons)/(1-[beta2]_cons)*`propbmctrlcommit`o'' + ///
541
+ (1-[betatilde3]_cons)/(1-[beta3]_cons)*`propbminfocommit`o'' + ///
542
+ (1-[betatilde4]_cons)/(1-[beta4]_cons)*`propamctrlnocommit`o'' + ///
543
+ (1-[betatilde5]_cons)/(1-[beta5]_cons)*`propaminfonocommit`o'' + ///
544
+ (1-[betatilde6]_cons)/(1-[beta6]_cons)*`propbmctrlnocommit`o'' + ///
545
+ (1-[betatilde7]_cons)/(1-[beta7]_cons)*`propbminfonocommit`o''
546
+ latex_write_nlcom naiveminfoavg`name' `lx'
547
+
548
+ *expected cost
549
+ nlcom (1/[lambda0]_cons)*`propamctrlcommit`o'' + ///
550
+ (1/[lambda1]_cons)*`propaminfocommit`o'' + ///
551
+ (1/[lambda2]_cons)*`propbmctrlcommit`o'' + ///
552
+ (1/[lambda3]_cons)*`propbminfocommit`o'' + ///
553
+ (1/[lambda4]_cons)*`propamctrlnocommit`o'' + ///
554
+ (1/[lambda5]_cons)*`propaminfonocommit`o'' + ///
555
+ (1/[lambda6]_cons)*`propbmctrlnocommit`o'' + ///
556
+ (1/[lambda7]_cons)*`propbminfonocommit`o''
557
+ latex_write_nlcom expcostminfoavg`name' `lx'
558
+
559
+ if "`v'" != "+0"{
560
+ *generate 95% CIs for model values
561
+ predictnl mean_days_minfo`name'_pred = ///
562
+ 28*((1-exp(-[lambda0]_cons*([betatilde0]_cons*([b0]_cons+plot_incentive)`v')))*`propamctrlcommit`o'' + ///
563
+ (1-exp(-[lambda1]_cons*([betatilde1]_cons*([b1]_cons+plot_incentive)`v')))*`propaminfocommit`o'' + ///
564
+ (1-exp(-[lambda2]_cons*([betatilde2]_cons*([b2]_cons+plot_incentive)`v')))*`propbmctrlcommit`o'' + ///
565
+ (1-exp(-[lambda3]_cons*([betatilde3]_cons*([b3]_cons+plot_incentive)`v')))*`propbminfocommit`o'' + ///
566
+ (1-exp(-[lambda4]_cons*([betatilde4]_cons*([b4]_cons+plot_incentive)`v')))*`propamctrlnocommit`o'' + ///
567
+ (1-exp(-[lambda5]_cons*([betatilde5]_cons*([b5]_cons+plot_incentive)`v')))*`propaminfonocommit`o'' + ///
568
+ (1-exp(-[lambda6]_cons*([betatilde6]_cons*([b6]_cons+plot_incentive)`v')))*`propbmctrlnocommit`o'' + ///
569
+ (1-exp(-[lambda7]_cons*([betatilde7]_cons*([b7]_cons+plot_incentive)`v')))*`propbminfonocommit`o'') ///
570
+ if _n > $obs, ci(lb_days_minfo`name'_pred ub_days_minfo`name'_pred) level(95)
571
+ predictnl mean_visits_minfo`name'_pred = ///
572
+ 28*((1-exp(-[lambda0]_cons*([beta0]_cons*([b0]_cons+plot_incentive)`v')))*`propamctrlcommit`o'' + ///
573
+ (1-exp(-[lambda1]_cons*([beta1]_cons*([b1]_cons+plot_incentive)`v')))*`propaminfocommit`o'' + ///
574
+ (1-exp(-[lambda2]_cons*([beta2]_cons*([b2]_cons+plot_incentive)`v')))*`propbmctrlcommit`o'' + ///
575
+ (1-exp(-[lambda3]_cons*([beta3]_cons*([b3]_cons+plot_incentive)`v')))*`propbminfocommit`o'' + ///
576
+ (1-exp(-[lambda4]_cons*([beta4]_cons*([b4]_cons+plot_incentive)`v')))*`propamctrlnocommit`o'' + ///
577
+ (1-exp(-[lambda5]_cons*([beta5]_cons*([b5]_cons+plot_incentive)`v')))*`propaminfonocommit`o'' + ///
578
+ (1-exp(-[lambda6]_cons*([beta6]_cons*([b6]_cons+plot_incentive)`v')))*`propbmctrlnocommit`o'' + ///
579
+ (1-exp(-[lambda7]_cons*([beta7]_cons*([b7]_cons+plot_incentive)`v')))*`propbminfonocommit`o'') ///
580
+ if _n > $obs, ci(lb_visits_minfo`name'_pred ub_visits_minfo`name'_pred) level(95)
581
+
582
+ *plot model with actual data
583
+ twoway (conn mean_days_minfo`name'_pred plot_incentive, lcolor(black) m(none)) ///
584
+ (conn ub_days_minfo`name'_pred plot_incentive, lc(black) lp(shortdash) m(none)) ///
585
+ (conn lb_days_minfo`name'_pred plot_incentive, lc(black) lp(shortdash) m(none)) ///
586
+ (sc mean_days_inf_ prize, msize(small) color(black)) ///
587
+ (rcap ub_days_inf_ lb_days_inf_ prize, lcolor(black) lwidth(medium) lpattern(dash)) ///
588
+ (conn mean_visits_minfo`name'_pred plot_incentive, lcolor(red) m(none)) ///
589
+ (conn ub_visits_minfo`name'_pred plot_incentive, lc(red) lp(shortdash) m(none)) ///
590
+ (conn lb_visits_minfo`name'_pred plot_incentive, lc(red) lp(shortdash) m(none)) ///
591
+ (sc mean_visits_inf_ prize, m(square) msize(small) color(red)) ///
592
+ (rcap ub_visits_inf_ lb_visits_inf_ prize, lcolor(red) lwidth(medium) lpattern(dash)), ///
593
+ xlab(0(1)12) ylabel(0(5)22, angle(0)) ///
594
+ xtitle("Per-visit incentive ($)", height(6)) ytitle("Visits", height(6)) ///
595
+ graphregion(color(white)) plotregion(margin(sides)) ///
596
+ legend(order(1 2 6 7 4 9) label(1 "Predicted expected visits") label(2 "Prediction 95% CI") label(4 "Average expected visits") label(6 "Predicted realized visits") label(7 "Prediction 95% CI") label(9 "Average realized visits")) legend(rows(3))
597
+ graph export overconfidence_estimates_past4_info_`name'.pdf, replace
598
+
599
+ *by median and take-up of commitment contract
600
+ forval j = 8(4)16{
601
+
602
+ if `j' == 8 loc x "e"
603
+ else if `j' == 12 loc x ""
604
+ else loc x "s"
605
+
606
+ foreach r in "0&commit`j'==1" "1&commit`j'==1" "0&commit`j'==0" "1&commit`j'==0"{
607
+
608
+ if "`r'"=="0&commit`j'==1" loc name "bmcommit`x'`o'"
609
+ else if "`r'"=="1&commit`j'==1" loc name "amcommit`x'`o'"
610
+ else if "`r'"=="0&commit`j'==0" loc name "bmnocommit`x'`o'"
611
+ else loc name "amnocommit`x'`o'"
612
+
613
+ gmm (eq1:28*(1-exp(-{lambda}*({betatilde}*({b}+prize)`v')))-days) ///
614
+ (eq2: 28*(1-exp(-{lambda}*({beta}*({b}+incentive)`v')))-visits) ///
615
+ (eq3: (1-{betatilde})*diffa2*({b}+(1+2)/2)-delta2) ///
616
+ (eq4: (1-{betatilde})*diffa3*({b}+(2+3)/2)-delta3) ///
617
+ (eq5: (1-{betatilde})*diffa5*({b}+(3+5)/2)-delta5) ///
618
+ (eq6: (1-{betatilde})*diffa7*({b}+(5+7)/2)-delta7) ///
619
+ (eq7: (1-{betatilde})*diffa12*({b}+(7+12)/2)-delta12) ///
620
+ if flag_low_wtp==0&flag_exclude_exog==0&incentive!=.&abovemedpast4==`r', ///
621
+ instruments (eq1: prize prize2) instruments(eq2:incentive incentivesq) ///
622
+ from (b 8 lambda 0.06 beta 0.5 betatilde 0.8) vce(cluster id) winitial(identity) nolog
623
+ foreach p in b lambda beta betatilde{
624
+ loc `p'`name' = [`p']_cons
625
+ }
626
+ }
627
+
628
+ *share in each group
629
+ sum abovemedpast4 if flag_low_wtp==0&flag_exclude_exog==0&incentive!=.&commit`j'==1
630
+ loc propamcommit`x'`o' = r(mean)
631
+ loc propbmcommit`x'`o' = 1 - r(mean)
632
+ loc propmavgcommit`x'`o' = 1
633
+ sum abovemedpast4 if flag_low_wtp==0&flag_exclude_exog==0&incentive!=.&commit`j'==0
634
+ loc propamnocommit`x'`o' = r(mean)
635
+ loc propbmnocommit`x'`o' = 1 - r(mean)
636
+
637
+ }
638
+
639
+ *by quartile of past attendance and take-up of commitment contract (for export)
640
+ forval j = 8(4)16{
641
+
642
+ if `j' == 8 loc x "e"
643
+ else if `j' == 12 loc x ""
644
+ else loc x "s"
645
+
646
+ foreach r in "1&commit`j'==1" "2&commit`j'==1" "3&commit`j'==1" "4&commit`j'==1" "1&commit`j'==0" "2&commit`j'==0" "3&commit`j'==0" "4&commit`j'==0"{
647
+
648
+ if "`r'"=="1&commit`j'==1" loc name "qfstcommit`x'`o'"
649
+ else if "`r'"=="2&commit`j'==1" loc name "qsndcommit`x'`o'"
650
+ else if "`r'"=="3&commit`j'==1" loc name "qthdcommit`x'`o'"
651
+ else if "`r'"=="4&commit`j'==1" loc name "qfthcommit`x'`o'"
652
+ else if "`r'"=="1&commit`j'==0" loc name "qfstnocommit`x'`o'"
653
+ else if "`r'"=="2&commit`j'==0" loc name "qsndnocommit`x'`o'"
654
+ else if "`r'"=="3&commit`j'==0" loc name "qthdnocommit`x'`o'"
655
+ else loc name "qfthnocommit`x'`o'"
656
+
657
+ gmm (eq1:28*(1-exp(-{lambda}*({betatilde}*({b}+prize)`v')))-days) ///
658
+ (eq2: 28*(1-exp(-{lambda}*({beta}*({b}+incentive)`v')))-visits) ///
659
+ (eq3: (1-{betatilde})*diffa2*({b}+(1+2)/2)-delta2) ///
660
+ (eq4: (1-{betatilde})*diffa3*({b}+(2+3)/2)-delta3) ///
661
+ (eq5: (1-{betatilde})*diffa5*({b}+(3+5)/2)-delta5) ///
662
+ (eq6: (1-{betatilde})*diffa7*({b}+(5+7)/2)-delta7) ///
663
+ (eq7: (1-{betatilde})*diffa12*({b}+(7+12)/2)-delta12) ///
664
+ if flag_low_wtp==0&flag_exclude_exog==0&incentive!=.&qpast4==`r', ///
665
+ instruments (eq1: prize prize2) instruments(eq2:incentive incentivesq) ///
666
+ from (b 8 lambda 0.06 beta 0.5 betatilde 0.8) vce(cluster id) winitial(identity) nolog
667
+ foreach p in b lambda beta betatilde{
668
+ loc `p'`name' = [`p']_cons
669
+ }
670
+ }
671
+
672
+ *share in each group
673
+ sum qpast4 if abovemedpast4==0&flag_low_wtp==0&flag_exclude_exog==0&incentive!=.&commit`j'==1
674
+ loc propqfstcommit`x'`o' = (2 - r(mean))*`propbmcommit`x'`o''
675
+ loc propqsndcommit`x'`o' = (1 - (2 - r(mean)))*`propbmcommit`x'`o''
676
+ sum qpast4 if abovemedpast4==1&flag_low_wtp==0&flag_exclude_exog==0&incentive!=.&commit`j'==1
677
+ loc propqthdcommit`x'`o' = (4 - r(mean))*`propamcommit`x'`o''
678
+ loc propqfthcommit`x'`o' = (1 - (4 - r(mean)))*`propamcommit`x'`o''
679
+ sum qpast4 if abovemedpast4==0&flag_low_wtp==0&flag_exclude_exog==0&incentive!=.&commit`j'==0
680
+ loc propqfstnocommit`x'`o' = (2 - r(mean))*`propbmnocommit`x'`o''
681
+ loc propqsndnocommit`x'`o' = (1 - (2 - r(mean)))*`propbmnocommit`x'`o''
682
+ sum qpast4 if abovemedpast4==1&flag_low_wtp==0&flag_exclude_exog==0&incentive!=.&commit`j'==0
683
+ loc propqthdnocommit`x'`o' = (4 - r(mean))*`propamnocommit`x'`o''
684
+ loc propqfthnocommit`x'`o' = (1 - (4 - r(mean)))*`propamnocommit`x'`o''
685
+
686
+ }
687
+
688
+ *by median, info treatment, & take-up of each commitment contract
689
+ forval j = 8(4)16{
690
+
691
+ if `j' == 8 loc x "e"
692
+ else if `j' == 12 loc x ""
693
+ else loc x "s"
694
+
695
+ foreach r in "0&control_info==1&commit`j'==1" "0&new_info==1&commit`j'==1" "1&control_info==1&commit`j'==1" "1&new_info==1&commit`j'==1" "0&control_info==1&commit`j'==0" "0&new_info==1&commit`j'==0" "1&control_info==1&commit`j'==0" "1&new_info==1&commit`j'==0" {
696
+
697
+ if "`r'"=="0&control_info==1&commit`j'==1" loc name "bmctrlcommit`x'`o'"
698
+ else if "`r'"=="0&new_info==1&commit`j'==1" loc name "bminfocommit`x'`o'"
699
+ else if "`r'"=="1&control_info==1&commit`j'==1" loc name "amctrlcommit`x'`o'"
700
+ else if "`r'"=="1&new_info==1&commit`j'==1" loc name "aminfocommit`x'`o'"
701
+ else if "`r'"=="0&control_info==1&commit`j'==0" loc name "bmctrlnocommit`x'`o'"
702
+ else if "`r'"=="0&new_info==1&commit`j'==0" loc name "bminfonocommit`x'`o'"
703
+ else if "`r'"=="1&control_info==1&commit`j'==0" loc name "amctrlnocommit`x'`o'"
704
+ else loc name "aminfonocommit`x'`o'"
705
+
706
+ gmm (eq1:28*(1-exp(-{lambda}*({betatilde}*({b}+prize)`v')))-days) ///
707
+ (eq2: 28*(1-exp(-{lambda}*({beta}*({b}+incentive)`v')))-visits) ///
708
+ (eq3: (1-{betatilde})*diffa2*({b}+(1+2)/2)-delta2) ///
709
+ (eq4: (1-{betatilde})*diffa3*({b}+(2+3)/2)-delta3) ///
710
+ (eq5: (1-{betatilde})*diffa5*({b}+(3+5)/2)-delta5) ///
711
+ (eq6: (1-{betatilde})*diffa7*({b}+(5+7)/2)-delta7) ///
712
+ (eq7: (1-{betatilde})*diffa12*({b}+(7+12)/2)-delta12) ///
713
+ if flag_low_wtp==0&flag_exclude_exog==0&incentive!=.&abovemedpast4==`r', ///
714
+ instruments (eq1: prize prize2) instruments(eq2:incentive incentivesq) ///
715
+ from (b 8 lambda 0.06 beta 0.5 betatilde 0.8) vce(cluster id) winitial(identity) nolog
716
+ foreach p in b lambda beta betatilde{
717
+ loc `p'`name' = [`p']_cons
718
+ }
719
+ }
720
+
721
+ *share in each group
722
+ sum commit`j' if flag_low_wtp==0&flag_exclude_exog==0&incentive!=.
723
+ loc propcommit
724
+ sum abovemedpast4 if flag_low_wtp==0&flag_exclude_exog==0&incentive!=.&commit`j'==1
725
+ loc meanam = r(mean)
726
+ sum control_info if first_info!=1&flag_low_wtp==0&flag_exclude_exog==0&incentive!=.&commit`j'==1&abovemedpast4==1
727
+ loc propamctrlcommit`x'`o' = `meanam'*r(mean)
728
+ loc propaminfocommit`x'`o' = `meanam'*(1 - r(mean))
729
+ sum control_info if first_info!=1&flag_low_wtp==0&flag_exclude_exog==0&incentive!=.&commit`j'==1&abovemedpast4==0
730
+ loc propbmctrlcommit`x'`o' = (1 - `meanam')*r(mean)
731
+ loc propbminfocommit`x'`o' = (1 - `meanam')*(1 - r(mean))
732
+ sum abovemedpast4 if flag_low_wtp==0&flag_exclude_exog==0&incentive!=.&commit`j'==0
733
+ loc meanam = r(mean)
734
+ sum control_info if first_info!=1&flag_low_wtp==0&flag_exclude_exog==0&incentive!=.&commit`j'==0&abovemedpast4==1
735
+ loc propamctrlnocommit`x'`o' = `meanam'*r(mean)
736
+ loc propaminfonocommit`x'`o' = `meanam'*(1 - r(mean))
737
+ sum control_info if first_info!=1&flag_low_wtp==0&flag_exclude_exog==0&incentive!=.&commit`j'==0&abovemedpast4==0
738
+ loc propbmctrlnocommit`x'`o' = (1 - `meanam')*r(mean)
739
+ loc propbminfonocommit`x'`o' = (1 - `meanam')*(1 - r(mean))
740
+
741
+ }
742
+
743
+ *by quartile, info treatment, & take-up of 12 visit commitment contract
744
+ loc j = 12 // for 12+ visits contract only
745
+ loc x ""
746
+ foreach r in "1&commit`j'==1&control_info==1" "2&commit`j'==1&control_info==1" "3&commit`j'==1&control_info==1" "4&commit`j'==1&control_info==1" "1&commit`j'==1&new_info==1" "2&commit`j'==1&new_info==1" "3&commit`j'==1&new_info==1" "4&commit`j'==1&new_info==1" {
747
+
748
+ if "`r'"=="1&commit`j'==1&control_info==1" loc name "qfstctrlcommit`x'`o'"
749
+ else if "`r'"=="2&commit`j'==1&control_info==1" loc name "qsndctrlcommit`x'`o'"
750
+ else if "`r'"=="3&commit`j'==1&control_info==1" loc name "qthdctrlcommit`x'`o'"
751
+ else if "`r'"=="4&commit`j'==1&control_info==1" loc name "qfthctrlcommit`x'`o'"
752
+ else if "`r'"=="1&commit`j'==0&control_info==1" loc name "qfstctrlnocommit`x'`o'"
753
+ else if "`r'"=="2&commit`j'==0&control_info==1" loc name "qsndctrlnocommit`x'`o'"
754
+ else if "`r'"=="3&commit`j'==0&control_info==1" loc name "qthdctrlnocommit`x'`o'"
755
+ else if "`r'"=="4&commit`j'==0&control_info==1" loc name "qfthctrlnocommit`x'`o'"
756
+ else if "`r'"=="1&commit`j'==1&new_info==1" loc name "qfstinfocommit`x'`o'"
757
+ else if "`r'"=="2&commit`j'==1&new_info==1" loc name "qsndinfocommit`x'`o'"
758
+ else if "`r'"=="3&commit`j'==1&new_info==1" loc name "qthdinfocommit`x'`o'"
759
+ else if "`r'"=="4&commit`j'==1&new_info==1" loc name "qfthinfocommit`x'`o'"
760
+ else if "`r'"=="1&commit`j'==0&new_info==1" loc name "qfstinfonocommit`x'`o'"
761
+ else if "`r'"=="2&commit`j'==0&new_info==1" loc name "qsndinfonocommit`x'`o'"
762
+ else if "`r'"=="3&commit`j'==0&new_info==1" loc name "qthdinfonocommit`x'`o'"
763
+ else loc name "qfthinfonocommit`x'`o'"
764
+
765
+ gmm (eq1:28*(1-exp(-{lambda}*({betatilde}*({b}+prize)`v')))-days) ///
766
+ (eq2: 28*(1-exp(-{lambda}*({beta}*({b}+incentive)`v')))-visits) ///
767
+ (eq3: (1-{betatilde})*diffa2*({b}+(1+2)/2)-delta2) ///
768
+ (eq4: (1-{betatilde})*diffa3*({b}+(2+3)/2)-delta3) ///
769
+ (eq5: (1-{betatilde})*diffa5*({b}+(3+5)/2)-delta5) ///
770
+ (eq6: (1-{betatilde})*diffa7*({b}+(5+7)/2)-delta7) ///
771
+ (eq7: (1-{betatilde})*diffa12*({b}+(7+12)/2)-delta12) ///
772
+ if flag_low_wtp==0&flag_exclude_exog==0&incentive!=.&qpast4==`r', ///
773
+ instruments (eq1: prize prize2) instruments(eq2:incentive incentivesq) ///
774
+ from (b 8 lambda 0.06 beta 0.5 betatilde 0.8) vce(cluster id) winitial(identity) nolog
775
+ foreach p in b lambda beta betatilde{
776
+ loc `p'`name' = [`p']_cons
777
+ }
778
+ }
779
+
780
+ *share in each group
781
+ forval k = 1/4{
782
+ sum control_info if first_info!=1&flag_low_wtp==0&flag_exclude_exog==0&incentive!=.&commit`j'==0&qpast4==`k'
783
+ loc propctrlq`k' = r(mean)
784
+ }
785
+ sum qpast4 if abovemedpast4==0&flag_low_wtp==0&flag_exclude_exog==0&incentive!=.&commit`j'==1
786
+ loc propqfstctrlcommit`x'`o' = (2 - r(mean))*`propbmcommit`x'`o''*`propctrlq1'
787
+ loc propqfstinfocommit`x'`o' = (2 - r(mean))*`propbmcommit`x'`o''*(1 - `propctrlq1')
788
+ loc propqsndctrlcommit`x'`o' = (1 - (2 - r(mean)))*`propbmcommit`x'`o''*`propctrlq2'
789
+ loc propqsndinfocommit`x'`o' = (1 - (2 - r(mean)))*`propbmcommit`x'`o''*(1 - `propctrlq2')
790
+ sum qpast4 if abovemedpast4==1&flag_low_wtp==0&flag_exclude_exog==0&incentive!=.&commit`j'==1
791
+ loc propqthdctrlcommit`x'`o' = (4 - r(mean))*`propamcommit`x'`o''*`propctrlq3'
792
+ loc propqthdinfocommit`x'`o' = (4 - r(mean))*`propamcommit`x'`o''*(1 - `propctrlq3')
793
+ loc propqfthctrlcommit`x'`o' = (1 - (4 - r(mean)))*`propamcommit`x'`o''*`propctrlq4'
794
+ loc propqfthinfocommit`x'`o' = (1 - (4 - r(mean)))*`propamcommit`x'`o''*(1 - `propctrlq4')
795
+ sum qpast4 if abovemedpast4==0&flag_low_wtp==0&flag_exclude_exog==0&incentive!=.&commit`j'==0
796
+ loc propqfstctrlnocommit`x'`o' = (2 - r(mean))*`propbmnocommit`x'`o''*`propctrlq1'
797
+ loc propqfstinfonocommit`x'`o' = (2 - r(mean))*`propbmnocommit`x'`o''*(1 - `propctrlq1')
798
+ loc propqsndctrlnocommit`x'`o' = (1 - (2 - r(mean)))*`propbmnocommit`x'`o''*`propctrlq2'
799
+ loc propqsndinfonocommit`x'`o' = (1 - (2 - r(mean)))*`propbmnocommit`x'`o''*(1 - `propctrlq2')
800
+ sum qpast4 if abovemedpast4==1&flag_low_wtp==0&flag_exclude_exog==0&incentive!=.&commit`j'==0
801
+ loc propqthdctrlnocommit`x'`o' = (4 - r(mean))*`propamnocommit`x'`o''*`propctrlq3'
802
+ loc propqthdinfonocommit`x'`o' = (4 - r(mean))*`propamnocommit`x'`o''*(1 - `propctrlq3')
803
+ loc propqfthctrlnocommit`x'`o' = (1 - (4 - r(mean)))*`propamnocommit`x'`o''*`propctrlq4'
804
+ loc propqfthinfonocommit`x'`o' = (1 - (4 - r(mean)))*`propamnocommit`x'`o''*(1 - `propctrlq4')
805
+
806
+ }
807
+
808
+
809
+ ********** Commitment contract - 12 visits ************************************
810
+
811
+ gmm (eq1:28*(1-exp(-{lambda}*({betatilde}*({b}+prize)`v')))-days) ///
812
+ (eq2: 28*(1-exp(-{lambda}*({beta}*({b}+incentive)`v')))-visits) ///
813
+ (eq3: (1-{betatilde})*diffa2*({b}+(1+2)/2)-delta2) ///
814
+ (eq4: (1-{betatilde})*diffa3*({b}+(2+3)/2)-delta3) ///
815
+ (eq5: (1-{betatilde})*diffa5*({b}+(3+5)/2)-delta5) ///
816
+ (eq6: (1-{betatilde})*diffa7*({b}+(5+7)/2)-delta7) ///
817
+ (eq7: (1-{betatilde})*diffa12*({b}+(7+12)/2)-delta12) ///
818
+ if flag_low_wtp==0&flag_exclude_exog==0&incentive!=.&commit12==1, ///
819
+ instruments (eq1: prize prize2) instruments(eq2:incentive incentivesq) ///
820
+ from (b 8 lambda 0.06 beta 0.5 betatilde 0.8) vce(cluster id) winitial(identity) nolog
821
+ latex_write_gmm twelve`o' `lx'
822
+
823
+ *for export
824
+ foreach param in lambda betatilde b beta {
825
+ loc `param'commit12`o' = [`param']_cons
826
+ }
827
+
828
+ *actual internality:
829
+ nlcom (1-[beta]_cons)*[b]_cons
830
+ latex_write_nlcom ainttwelve`o' `lx'
831
+
832
+ *naivete statistic:
833
+ nlcom (1-[betatilde]_cons)/(1-[beta]_cons)
834
+ latex_write_nlcom naivetwelve`o' `lx'
835
+
836
+ *expected cost
837
+ nlcom 1/[lambda]_cons
838
+ latex_write_nlcom expcosttwelve`o' `lx'
839
+
840
+ *take-up rate
841
+ sum commit12 if flag_low_wtp==0&flag_exclude_exog==0&incentive!=.
842
+ loc propcommit12`o' = r(mean)
843
+ loc propnocommit12`o' = 1 - r(mean)
844
+
845
+ if "`v'" == ""{ // baseline only
846
+
847
+ *generate 95% CIs for model values
848
+ predictnl mean_days_c12_pred = ///
849
+ 28*(1-exp(-[lambda]_cons*[betatilde]_cons*([b]_cons+plot_incentive))) ///
850
+ if _n > $obs, ci(lb_days_c12_pred ub_days_c12_pred) level(95)
851
+ predictnl mean_visits_c12_pred = ///
852
+ 28*(1-exp(-[lambda]_cons*[beta]_cons*([b]_cons+plot_incentive))) ///
853
+ if _n > $obs, ci(lb_visits_c12_pred ub_visits_c12_pred) level(95)
854
+
855
+ *plot model with actual data
856
+ twoway (conn mean_days_c12_pred plot_incentive, lcolor(black) m(none)) ///
857
+ (conn ub_days_c12_pred plot_incentive, lc(black) lp(shortdash) m(none)) ///
858
+ (conn lb_days_c12_pred plot_incentive, lc(black) lp(shortdash) m(none)) ///
859
+ (sc mean_days_c12_ prize, msize(small) color(black)) ///
860
+ (rcap ub_days_c12_ lb_days_c12_ prize, lcolor(black) lwidth(medium) lpattern(dash)) ///
861
+ (conn mean_visits_c12_pred plot_incentive, lcolor(red) m(none)) ///
862
+ (conn ub_visits_c12_pred plot_incentive, lc(red) lp(shortdash) m(none)) ///
863
+ (conn lb_visits_c12_pred plot_incentive, lc(red) lp(shortdash) m(none)) ///
864
+ (sc mean_visits_c12_ prize, m(square) msize(small) color(red)) ///
865
+ (rcap ub_visits_c12_ lb_visits_c12_ prize, lcolor(red) lwidth(medium) lpattern(dash)), ///
866
+ xlab(0(1)12) ylabel(0(5)22, angle(0)) ///
867
+ xtitle("Per-visit incentive ($)", height(6)) ytitle("Visits", height(6)) ///
868
+ graphregion(color(white)) plotregion(margin(sides)) ///
869
+ legend(order(1 2 6 7 4 9) label(1 "Predicted expected visits") label(2 "Prediction 95% CI") label(4 "Average expected visits") label(6 "Predicted realized visits") label(7 "Prediction 95% CI") label(9 "Average realized visits")) legend(rows(3))
870
+ graph export overconfidence_estimates_commit12.pdf, replace
871
+
872
+ **lower bound on how bad commitment contracts are:
873
+ loc internalityC12=(1-[beta]_cons)*[b]_cons
874
+ * impact on visits
875
+ reg visits getcommit if wave3==1&(getcommit==1|incentive==0)&commit12==1
876
+ loc internalityBenefit=_b[getcommit]*`internalityC12'
877
+ di `internalityBenefit'
878
+ * financial loss
879
+ qui sum visits12 if commit12==1&getcommit==1
880
+ loc lose=1-r(mean)
881
+ loc dollarslost=`lose'*80
882
+ di `dollarslost'
883
+ * net loss:
884
+ di `dollarslost'-`internalityBenefit'
885
+
886
+ }
887
+
888
+ *rejected contract
889
+ if "`v'" != "+0"{
890
+ gmm (eq1:28*(1-exp(-{lambda}*({betatilde}*({b}+prize)`v')))-days) ///
891
+ (eq2: 28*(1-exp(-{lambda}*({beta}*({b}+incentive)`v')))-visits) ///
892
+ (eq3: (1-{betatilde})*diffa2*({b}+(1+2)/2)-delta2) ///
893
+ (eq4: (1-{betatilde})*diffa3*({b}+(2+3)/2)-delta3) ///
894
+ (eq5: (1-{betatilde})*diffa5*({b}+(3+5)/2)-delta5) ///
895
+ (eq6: (1-{betatilde})*diffa7*({b}+(5+7)/2)-delta7) ///
896
+ (eq7: (1-{betatilde})*diffa12*({b}+(7+12)/2)-delta12) ///
897
+ if flag_low_wtp==0&flag_exclude_exog==0&incentive!=.&commit12==0, ///
898
+ instruments (eq1: prize prize2) instruments(eq2:incentive incentivesq) ///
899
+ from (b 8 lambda 0.06 beta 0.5 betatilde 0.8) vce(cluster id) winitial(identity) nolog
900
+ if "`v'" == "" latex_write_gmm notwelve `lx' // baseline only
901
+
902
+ *for export
903
+ foreach param in lambda betatilde b beta {
904
+ loc `param'nocommit12`o' = [`param']_cons
905
+ }
906
+
907
+ if "`v'" == ""{ // baseline only
908
+ *actual internality:
909
+ nlcom (1-[beta]_cons)*[b]_cons
910
+ latex_write_nlcom aintnotwelve `lx'
911
+
912
+ *naivete statistic:
913
+ nlcom (1-[betatilde]_cons)/(1-[beta]_cons)
914
+ latex_write_nlcom naivenotwelve `lx'
915
+
916
+ *expected cost
917
+ nlcom 1/[lambda]_cons
918
+ latex_write_nlcom expcostnotwelve `lx'
919
+ }
920
+ }
921
+
922
+
923
+ ********** Commitment contract - 8 visits *************************************
924
+
925
+ gmm (eq1:28*(1-exp(-{lambda}*({betatilde}*({b}+prize)`v')))-days) ///
926
+ (eq2: 28*(1-exp(-{lambda}*({beta}*({b}+incentive)`v')))-visits) ///
927
+ (eq3: (1-{betatilde})*diffa2*({b}+(1+2)/2)-delta2) ///
928
+ (eq4: (1-{betatilde})*diffa3*({b}+(2+3)/2)-delta3) ///
929
+ (eq5: (1-{betatilde})*diffa5*({b}+(3+5)/2)-delta5) ///
930
+ (eq6: (1-{betatilde})*diffa7*({b}+(5+7)/2)-delta7) ///
931
+ (eq7: (1-{betatilde})*diffa12*({b}+(7+12)/2)-delta12) ///
932
+ if flag_low_wtp==0&flag_exclude_exog==0&incentive!=.&commit8==1, ///
933
+ instruments (eq1: prize prize2) instruments(eq2:incentive incentivesq) ///
934
+ from (b 8 lambda 0.06 beta 0.5 betatilde 0.8) vce(cluster id) winitial(identity) nolog
935
+ latex_write_gmm eight`o' `lx'
936
+
937
+ *for export
938
+ foreach param in lambda betatilde b beta {
939
+ loc `param'commit8`o' = [`param']_cons
940
+ }
941
+
942
+ *actual internality:
943
+ nlcom (1-[beta]_cons)*[b]_cons
944
+ latex_write_nlcom ainteight`o' `lx'
945
+
946
+ *naivete statistic:
947
+ nlcom (1-[betatilde]_cons)/(1-[beta]_cons)
948
+ latex_write_nlcom naiveeight`o' `lx'
949
+
950
+ *expected cost
951
+ nlcom 1/[lambda]_cons
952
+ latex_write_nlcom expcosteight`o' `lx'
953
+
954
+ *take-up rate
955
+ sum commit8 if flag_low_wtp==0&flag_exclude_exog==0&incentive!=.
956
+ loc propcommit8`o' = r(mean)
957
+ loc propnocommit8`o' = 1 -r(mean)
958
+
959
+
960
+ * rejected contract
961
+ if "`v'" != "+0"{
962
+ gmm (eq1:28*(1-exp(-{lambda}*({betatilde}*({b}+prize)`v')))-days) ///
963
+ (eq2: 28*(1-exp(-{lambda}*({beta}*({b}+incentive)`v')))-visits) ///
964
+ (eq3: (1-{betatilde})*diffa2*({b}+(1+2)/2)-delta2) ///
965
+ (eq4: (1-{betatilde})*diffa3*({b}+(2+3)/2)-delta3) ///
966
+ (eq5: (1-{betatilde})*diffa5*({b}+(3+5)/2)-delta5) ///
967
+ (eq6: (1-{betatilde})*diffa7*({b}+(5+7)/2)-delta7) ///
968
+ (eq7: (1-{betatilde})*diffa12*({b}+(7+12)/2)-delta12) ///
969
+ if flag_low_wtp==0&flag_exclude_exog==0&incentive!=.&commit8==0, ///
970
+ instruments (eq1: prize prize2) instruments(eq2:incentive incentivesq) ///
971
+ from (b 8 lambda 0.06 beta 0.5 betatilde 0.8) vce(cluster id) winitial(identity) nolog
972
+ if "`v'" == "" latex_write_gmm noeight `lx' // baseline only
973
+
974
+ *for export
975
+ foreach param in lambda betatilde b beta {
976
+ loc `param'nocommit8`o' = [`param']_cons
977
+ }
978
+
979
+ if "`v'" == ""{ // baseline only
980
+ *actual internality:
981
+ nlcom (1-[beta]_cons)*[b]_cons
982
+ latex_write_nlcom aintnoeight `lx'
983
+
984
+ *naivete statistic:
985
+ nlcom (1-[betatilde]_cons)/(1-[beta]_cons)
986
+ latex_write_nlcom naivenoeight `lx'
987
+
988
+ *expected cost
989
+ nlcom 1/[lambda]_cons
990
+ latex_write_nlcom expcostnoeight `lx'
991
+ }
992
+ }
993
+
994
+
995
+ ********** Commitment contract - 16 visits ************************************
996
+
997
+ gmm (eq1:28*(1-exp(-{lambda}*({betatilde}*({b}+prize)`v')))-days) ///
998
+ (eq2: 28*(1-exp(-{lambda}*({beta}*({b}+incentive)`v')))-visits) ///
999
+ (eq3: (1-{betatilde})*diffa2*({b}+(1+2)/2)-delta2) ///
1000
+ (eq4: (1-{betatilde})*diffa3*({b}+(2+3)/2)-delta3) ///
1001
+ (eq5: (1-{betatilde})*diffa5*({b}+(3+5)/2)-delta5) ///
1002
+ (eq6: (1-{betatilde})*diffa7*({b}+(5+7)/2)-delta7) ///
1003
+ (eq7: (1-{betatilde})*diffa12*({b}+(7+12)/2)-delta12) ///
1004
+ if flag_low_wtp==0&flag_exclude_exog==0&incentive!=.&commit16==1, ///
1005
+ instruments (eq1: prize prize2) instruments(eq2:incentive incentivesq) ///
1006
+ from (b 8 lambda 0.06 beta 0.5 betatilde 0.8) vce(cluster id) winitial(identity) nolog
1007
+ latex_write_gmm sixteen`o' `lx'
1008
+
1009
+ *for export
1010
+ foreach param in lambda betatilde b beta {
1011
+ loc `param'commit16`o' = [`param']_cons
1012
+ }
1013
+
1014
+ *actual internality:
1015
+ nlcom (1-[beta]_cons)*[b]_cons
1016
+ latex_write_nlcom aintsixteen`o' `lx'
1017
+
1018
+ *naivete statistic:
1019
+ nlcom (1-[betatilde]_cons)/(1-[beta]_cons)
1020
+ latex_write_nlcom naivesixteen`o' `lx'
1021
+
1022
+ *expected cost
1023
+ nlcom 1/[lambda]_cons
1024
+ latex_write_nlcom expcostsixteen`o' `lx'
1025
+
1026
+ *take-up rate
1027
+ sum commit16 if flag_low_wtp==0&flag_exclude_exog==0&incentive!=.
1028
+ loc propcommit16`o' = r(mean)
1029
+ loc propnocommit16`o' = 1 -r(mean)
1030
+
1031
+
1032
+ * rejected contract
1033
+ if "`v'" != "+0"{
1034
+ gmm (eq1:28*(1-exp(-{lambda}*({betatilde}*({b}+prize)`v')))-days) ///
1035
+ (eq2: 28*(1-exp(-{lambda}*({beta}*({b}+incentive)`v')))-visits) ///
1036
+ (eq3: (1-{betatilde})*diffa2*({b}+(1+2)/2)-delta2) ///
1037
+ (eq4: (1-{betatilde})*diffa3*({b}+(2+3)/2)-delta3) ///
1038
+ (eq5: (1-{betatilde})*diffa5*({b}+(3+5)/2)-delta5) ///
1039
+ (eq6: (1-{betatilde})*diffa7*({b}+(5+7)/2)-delta7) ///
1040
+ (eq7: (1-{betatilde})*diffa12*({b}+(7+12)/2)-delta12) ///
1041
+ if flag_low_wtp==0&flag_exclude_exog==0&incentive!=.&commit16==0, ///
1042
+ instruments (eq1: prize prize2) instruments(eq2:incentive incentivesq) ///
1043
+ from (b 8 lambda 0.06 beta 0.5 betatilde 0.8) vce(cluster id) winitial(identity) nolog
1044
+ if "`v'" == "" latex_write_gmm nosixteen `lx' // baseline only
1045
+
1046
+ *for export
1047
+ foreach param in lambda betatilde b beta {
1048
+ loc `param'nocommit16`o' = [`param']_cons
1049
+ }
1050
+
1051
+ if "`v'" == ""{ // baseline only
1052
+ *actual internality:
1053
+ nlcom (1-[beta]_cons)*[b]_cons
1054
+ latex_write_nlcom aintnosixteen `lx'
1055
+
1056
+ *naivete statistic:
1057
+ nlcom (1-[betatilde]_cons)/(1-[beta]_cons)
1058
+ latex_write_nlcom naivenosixteen `lx'
1059
+
1060
+ *expected cost
1061
+ nlcom 1/[lambda]_cons
1062
+ latex_write_nlcom expcostnosixteen `lx'
1063
+ }
1064
+ }
1065
+
1066
+ }
1067
+
1068
+ restore
1069
+
1070
+
1071
+ ********** Export estimates from each subsample to a file *********************
1072
+
1073
+ foreach o in "" "V" "X"{
1074
+
1075
+ foreach f in bmcommit`o' amcommit`o' bmnocommit`o' amnocommit`o' ///
1076
+ bmcommite`o' amcommite`o' bmnocommite`o' amnocommite`o' ///
1077
+ bmcommits`o' amcommits`o' bmnocommits`o' amnocommits`o' ///
1078
+ qfstcommit`o' qsndcommit`o' qthdcommit`o' qfthcommit`o' ///
1079
+ qfstnocommit`o' qsndnocommit`o' qthdnocommit`o' qfthnocommit`o' ///
1080
+ qfstcommite`o' qsndcommite`o' qthdcommite`o' qfthcommite`o' ///
1081
+ qfstnocommite`o' qsndnocommite`o' qthdnocommite`o' qfthnocommite`o' ///
1082
+ qfstcommits`o' qsndcommits`o' qthdcommits`o' qfthcommits`o' ///
1083
+ qfstnocommits`o' qsndnocommits`o' qthdnocommits`o' qfthnocommits`o' ///
1084
+ qfstctrlcommit`o' qsndctrlcommit`o' qthdctrlcommit`o' qfthctrlcommit`o' ///
1085
+ qfstinfocommit`o' qsndinfocommit`o' qthdinfocommit`o' qfthinfocommit`o' ///
1086
+ bmctrlcommit`o' bminfocommit`o' amctrlcommit`o' aminfocommit`o' ///
1087
+ bmctrlnocommit`o' bminfonocommit`o' amctrlnocommit`o' aminfonocommit`o' ///
1088
+ bmctrlcommite`o' bminfocommite`o' amctrlcommite`o' aminfocommite`o' ///
1089
+ bmctrlnocommite`o' bminfonocommite`o' amctrlnocommite`o' aminfonocommite`o' ///
1090
+ bmctrlcommits`o' bminfocommits`o' amctrlcommits`o' aminfocommits`o' ///
1091
+ bmctrlnocommits`o' bminfonocommits`o' amctrlnocommits`o' aminfonocommits`o' ///
1092
+ commit12`o' nocommit12`o' commit8`o' nocommit8`o' commit16`o' nocommit16`o'{
1093
+
1094
+ preserve
1095
+ clear
1096
+ set obs 1
1097
+ foreach p in lambda beta betatilde b prop{
1098
+ gen `p' = ``p'`f''
1099
+ }
1100
+ outsheet using "parameter_estimates/`f'.csv", comma replace
1101
+ restore
1102
+ }
1103
+
1104
+ }
1105
+
1106
+
1107
+ ********** Empirical moments **************************************************
1108
+
1109
+ preserve
1110
+ * restrict sample
1111
+ keep if flag_low_wtp==0&flag_exclude_exog==0
1112
+
1113
+ *generate variables
1114
+ gen got_contract = 1 if treatment == "threshold80_12"
1115
+ replace got_contract = 0 if treatment == "control"
1116
+ gen success = visits >= 12
1117
+
1118
+ *change in attendance due to contract
1119
+ reg visits got_contract wave? if commit12==1
1120
+ matrix temp = r(table)'
1121
+ loc b : di %4.2f temp[1,1]
1122
+ loc lb : di %4.2f temp[1,5]
1123
+ loc ub : di %4.2f temp[1,6]
1124
+ loc ci : di "(`lb', `ub')"
1125
+ latex_write empirDaC `b' numbers
1126
+ latex_write empirDaCCI "`ci'" numbers
1127
+
1128
+ *probability of meeting threshold (with and w/out the contract)
1129
+ reg success wave? if commit12==1&treatment=="control"
1130
+ matrix temp = r(table)'
1131
+ loc b : di %4.2f temp[4,1]
1132
+ loc lb : di %4.2f temp[4,5]
1133
+ loc ub : di %4.2f temp[4,6]
1134
+ loc ci : di "(`lb', `ub')"
1135
+ latex_write empirctrlPmeet `b' numbers
1136
+ latex_write empirctrlPmeetCI "`ci'" numbers
1137
+
1138
+ reg success if commit12==1&treatment=="threshold80_12"
1139
+ matrix temp = r(table)'
1140
+ loc b : di %4.2f temp[1,1]
1141
+ loc lb : di %4.2f temp[1,5]
1142
+ loc ub : di %4.2f temp[1,6]
1143
+ loc ci : di "(`lb', `ub')"
1144
+ latex_write empirtreatPmeet `b' numbers
1145
+ latex_write empirtreatPmeetCI "`ci'" numbers
1146
+
1147
+ *change in probability of meeting threshold
1148
+ reg success got_contract wave? if commit12==1
1149
+ matrix temp = r(table)'
1150
+ loc b : di %4.2f temp[1,1]
1151
+ loc lb : di %4.2f temp[1,5]
1152
+ loc ub : di %4.2f temp[1,6]
1153
+ loc ci : di "(`lb', `ub')"
1154
+ latex_write empirDmeet `b' numbers
1155
+ latex_write empirDmeetCI "`ci'" numbers
1156
+ restore
107/replication_package/Code/Stata/Tables.do ADDED
@@ -0,0 +1,708 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ *** TABLES FOR Carrera, Royer, Stehr, Sydnor, and Taubinsky (2021) ************
2
+ *******************************************************************************
3
+
4
+ *** Initial set-up ***
5
+ clear
6
+ eststo clear
7
+ set more off
8
+
9
+ *** Set directory for output ***
10
+ cd "$main/Output"
11
+ /* Note: all tables will output to the working directory. Uses a program from
12
+ master_do_file_for_analysis.do */
13
+
14
+
15
+ *** Load and clean experimental data ******************************************
16
+
17
+ *** Load dataset ***
18
+ use "$main/Data/cleaned_commitment_study_data", clear
19
+
20
+ *** Variable Creation & Cleaning Steps ***
21
+ *** Create an ID variable for use when reshaping long
22
+ gen id = _n
23
+
24
+ *** Generate info treatment indicators
25
+ gen first_info = type_of_info=="1-onlygraph"
26
+ gen new_info = type_of_info=="2-graphplus"
27
+ gen control_info = (new_info == 0 & first_info == 0)
28
+
29
+ *** Generate wave indicators
30
+ gen wave1 = (wave == "fall")
31
+ gen wave2 = (wave == "winter")
32
+ gen wave3 = (wave == "spring")
33
+
34
+ *** Define anticommitment/commitment variables for each threshold
35
+ gen anticommit8 = q170 ==2 if q170<.
36
+ gen commit8 = q169 ==2 if q169<.
37
+ gen anticommit12 = chose_anticommit11
38
+ gen commit12 = chose_commit12
39
+ gen anticommit16 = q296==2 if q296<.
40
+ gen commit16 = q295 ==2 if q295<.
41
+
42
+ *** Rescale percent variable
43
+ foreach var of varlist percent*{
44
+ replace `var' = `var'/100
45
+ }
46
+
47
+ *** Store number of observations in exclusions
48
+ sum flag_low_wtp
49
+ loc lowwtp `r(sum)'
50
+ latex_write lowwtpobs `lowwtp' numbers
51
+ sum flag_exclude_exog
52
+ loc endog `r(sum)'
53
+ latex_write nexogobs `endog' numbers
54
+ loc totalexcl = `lowwtp' + `endog'
55
+ latex_write excludeobs `totalexcl' numbers
56
+
57
+ * Wave 3
58
+ sum flag_low_wtp if wave3 == 1
59
+ latex_write lowwtpobswthree `r(sum)' numbers
60
+ sum flag_exclude_exog if wave3 == 1
61
+ latex_write nexogobswthree `r(sum)' numbers
62
+
63
+ *** Store number of participants in each wave before exclusions
64
+ forval i = 1/3{
65
+
66
+ if `i' == 1 loc wname "wone"
67
+ else if `i' == 2 loc wname "wtwo"
68
+ else loc wname "wthree"
69
+
70
+ sum wave`i' if wave`i' == 1
71
+ loc obs = r(N)
72
+ latex_write `wname'obs `obs' numbers
73
+ }
74
+
75
+ *** Store share of participants who prefer nothing to contingent $80
76
+ sum prefer80contingent_to_0
77
+ loc pctpreferzero : di %2.1f (1-r(mean))*100
78
+ latex_write pctpreferzero `pctpreferzero' numbers
79
+
80
+ *** Restrict sample to those exogenously assigned incentives
81
+ keep if flag_low_wtp == 0 & flag_exclude_exog == 0
82
+
83
+
84
+ *** Descriptive Statistics (appendix_descriptive_stats.tex) *******************
85
+
86
+ *** Generate variables and labels for the table ***
87
+ gen ft_student = student==1 if student<.
88
+ gen ft_working = working==1 if working<.
89
+ gen fpt_working = working<3 if working<.
90
+ gen advanced_degree = educ==5
91
+ replace married = married==1 if married<.
92
+ recode age (1 = 24) (2=35.5 ) (3=45.5) (4=57.5) (5=70) , gen(imp_age)
93
+ recode income_cat (1 = 18000) (2=37500 ) (3=75500) (4=150000) (5=.) , gen(imp_inc)
94
+
95
+ label var female "Female"
96
+ label var imp_inc "Household income$^a$"
97
+ label var married "Married"
98
+ label var ft_student "Student, full-time"
99
+ label var fpt_working "Working, full- or part-time"
100
+ label var advanced "Advanced degree$^b$"
101
+ label var imp_age "Age$^a$"
102
+ label var past4 "Visits in the past 4 weeks, recorded"
103
+ label var visits_100 "$\hspace{0.5cm}$ Visits, recorded"
104
+ label var past100days_went "$\hspace{0.5cm}$ Visits, self-recollection"
105
+ label var past100days_should "Days that \textit{I should have gone, but didn't}"
106
+ label var days_0 "Best guess of days I will attend in next 4 weeks"
107
+ label var goal "Goal for visits in next 4 weeks"
108
+
109
+ gen wave_num = "Wave 1" if wave=="fall"
110
+ replace wave_num="Wave 2" if wave=="winter"
111
+ replace wave_num="Wave 3" if wave=="spring"
112
+ tab wave_num // N = 1248 (340 in Wave 1, 509 in Wave 2, 399 in Wave 3)
113
+
114
+ *** Produce statistics for the table ***
115
+ estpost tabstat female imp_age ft_student fpt_working married advanced_degree imp_inc past4, by(wave_num) statistics(mean sd) columns(statistics)
116
+
117
+ *** Export table
118
+ #delimit;
119
+ estout . using `"appendix_descriptive_stats.tex"' ,
120
+ cells(mean(fmt(%3.2fc %3.2fc %3.2fc %3.2fc %3.2fc %3.2fc %8.0gc %3.2fc) star)
121
+ sd(fmt(%3.2fc %3.2fc %3.2fc %3.2fc %3.2fc %3.2fc %8.0gc %3.2fc) par))
122
+ starlevels(\sym{*} 0.05 \sym{**} 0.01 \sym{***} 0.001, label(" \(p<@\)"))
123
+ varwidth(20) modelwidth(12) unstack delimiter(&) end(\\)
124
+ prehead(`"{"' `"\def\sym#1{\ifmmode^{#1}\else\(^{#1}\)\fi}"' `"\begin{tabular}{l*{@E}{c}}"' `"\hline"') posthead("\hline")
125
+ postfoot(`"\hline"' `"\addlinespace"' `"N & 340 & 509 & 399 & 1,248 \\"' `"\hline\hline"' `"\end{tabular}"' `"}"' )
126
+ label varlabels(_cons Constant, end("" [1em]) nolast) mlabels(none) nonumbers
127
+ collabels(none) substitute(_ \_ "\_cons " \_cons "Total" "Overall")
128
+ interaction(" $\times$ ") notype level(95) style(tex) replace;
129
+
130
+ #delimit cr
131
+
132
+
133
+ *** (CCtable.tex) *************************************************************
134
+ *** This table was created by hand, so no tex output is produced for it *******
135
+
136
+ local commitlist "8 12 16"
137
+
138
+ *** Summarize take-up of commitment contracts ***
139
+ foreach X of local commitlist {
140
+ * Declare local for labeling
141
+ if `X' == 8 loc num "eight"
142
+ else if `X' == 12 loc num "twelve"
143
+ else loc num "sixteen"
144
+ * Chose "more" contract
145
+ summarize commit`X'
146
+ * Store mean and number of observations
147
+ loc takeup = round(r(mean)*100)
148
+ loc takeup : di %2.0f `takeup'
149
+ latex_write commit`num'rate `takeup' numbers
150
+ local obsnum : di %5.0fc `r(N)'
151
+ if r(N) > 1000 loc obsnum = subinstr("`obsnum'",",","{,}",.)
152
+ latex_write commit`num'obs `obsnum' numbers
153
+ * Chose "fewer" contract
154
+ summarize anticommit`X'
155
+ * Chose "more" given chose "fewer"
156
+ summarize commit`X' if anticommit`X'==1
157
+ * Chose "fewer" given chose "more"
158
+ summarize anticommit`X' if commit`X'==1
159
+ * Difference between "more" and "more" given chose "fewer" means
160
+ gen commit`X'_cdtn = commit`X' if anticommit`X'==1
161
+ ttest commit`X'_cdtn = commit`X', unpaired
162
+ * Difference between "fewer" and "fewer" given chose "more" means
163
+ gen anticommit`X'_cdtn = anticommit`X' if commit`X'==1
164
+ ttest anticommit`X'_cdtn = anticommit`X', unpaired
165
+ }
166
+
167
+
168
+ *** (CCBeliefs2.tex) **********************************************************
169
+
170
+ *** Regress expected days vs. probability of meeting threshold, all participants
171
+ reg days_0 percent_meet_commit12, robust
172
+ est store est11
173
+
174
+ reg days_0 percent_meet_anticommit, robust
175
+ est store est12
176
+
177
+ reg days_0 percent_meet_commit12 percent_meet_anticommit, robust
178
+ est store est13
179
+
180
+ * Difference of coefficients ("More"-"Fewer")
181
+ nlcom diff: _b[percent_meet_commit12]-_b[percent_meet_anticommit], post
182
+
183
+ * Store differences
184
+ local b : di %4.2f _b[diff]
185
+ local se : di %4.2f _se[diff]
186
+ estadd local diffb "`b'***" : est13 // know significance level via inspection
187
+ estadd local diffse "(`se')" : est13
188
+
189
+ *** Regress expected days vs. probability of meeting threshold, chose commit & anticommit
190
+ reg days_0 percent_meet_commit12 percent_meet_anticommit ///
191
+ if commit12 == 1 & anticommit12 == 1, robust
192
+ est store est14
193
+
194
+ * Difference of coefficients ("More"-"Fewer")
195
+ nlcom diff: _b[percent_meet_commit12]-_b[percent_meet_anticommit], post
196
+
197
+ * Store differences
198
+ local b : di %4.2f _b[diff]
199
+ local se : di %4.2f _se[diff]
200
+ estadd local diffb "`b'***" : est14 // know significance level via inspection
201
+ estadd local diffse "(`se')" : est14
202
+
203
+ *** Export table
204
+ estout est11 est12 est13 est14 using CCBeliefs2.tex, style(tex) margin replace eqlabels(none) ///
205
+ cells(b(star fmt(%9.2f)) se(par fmt(%9.2f)) ) msign(--) starlevels(* 0.1 ** 0.05 *** 0.01) stardetach ///
206
+ keep(percent_meet_commit12 percent_meet_anticommit) wrap varwidth(25) ///
207
+ order(percent_meet_commit12 percent_meet_anticommit) ///
208
+ mgroups("Subjective expected attendance without incentives", pattern(1 0 0 0) ///
209
+ span prefix(\multicolumn{@span}{c}{) suffix(})) ///
210
+ stats(N diffb diffse, l("N" "\hline \`\`More'' $-$ \`\`Fewer''" " ") fmt(%8.0fc %8.0fc %8.0fc)) ///
211
+ varlabels(percent_meet_commit12 "Subj. prob. succeed in \lq\lq more\rq\rq\, contract" percent_meet_anticommit "Subj. prob. succeed in \lq\lq fewer\rq\rq\, contract") ///
212
+ collabels(,none) mlabels("(1)" "(2)" "(3)" "(4)") ///
213
+ prehead( "\begin{tabular}{l*{@M}{r @{} l}}" "\hline") ///
214
+ posthead("\hline") prefoot() postfoot("\hline\hline" "\end{tabular}")
215
+
216
+
217
+ *** (regs_{avg_delta_ex_1,commit}_all.tex) ************************************
218
+
219
+ *** Generate variable for expected attendace w/incentive given
220
+ gen days_exp = .
221
+ foreach i in 0 1 2 3 5 7{
222
+ replace days_exp = days_`i' if incentive == `i'
223
+ }
224
+
225
+ *** Generate variables for gaps between goal, past, expected, & actual attendance
226
+ gen gap_goal_exp = goal - days_0 // under no incentive
227
+ gen gap_goal_past = goal - past4
228
+ gen gap_actual_exp = visits - days_exp
229
+
230
+
231
+ *** Generate behavior change premium variables (second-order approximation)
232
+ gen delta1=(wtp1) - (days_1+days_0)/2
233
+ gen delta2 = (wtp2-wtp1) - (days_2+days_1)/2
234
+ gen delta3=(wtp3-wtp2) - (days_3+days_2)/2
235
+ gen delta5=(wtp5-wtp3)/(5-3) - (days_5+days_3)/2
236
+ gen delta7=(wtp7-wtp5)/(7-5) - (days_7+days_5)/2
237
+ gen delta12=(wtp12-wtp7)/(12-7) - (days_12+days_7)/2
238
+ gen avg_delta_ex1 = (delta2 + delta3 + delta5 + delta7 + delta12)/5
239
+
240
+
241
+ ** Store number of observations without an incentive
242
+ gen got_contract = (incentive == .)
243
+ sum got_contract
244
+ latex_write gotcontractobs `r(sum)' numbers
245
+
246
+
247
+ *** Perform series of analyses for whole sample
248
+
249
+ * Declare restriction for following analysis
250
+ loc restrict "!missing(incentive)"
251
+
252
+ * Store means and standard deviations
253
+ foreach v in gap_goal_exp gap_actual_exp{
254
+ if "`v'" == "gap_goal_exp" loc name "goalexp"
255
+ else loc name "actexp"
256
+ sum `v' if `restrict'
257
+ loc mean : di %4.2f r(mean)
258
+ loc sd : di %4.2f r(sd)
259
+ latex_write `name'mean `mean' numbers
260
+ latex_write `name'sd `sd' numbers
261
+ }
262
+
263
+ * Generate z-scores for variables with constant restriction
264
+ foreach dvar in gap_goal_exp gap_actual_exp avg_delta_ex1{
265
+ sum `dvar' if `restrict'
266
+ gen z_`dvar' = (`dvar' - r(mean)) / r(sd) if `restrict'
267
+ }
268
+
269
+ * Run regressions of behavior change premium with regressors & constant restriction
270
+ eststo clear
271
+ loc k = 1
272
+ foreach controls in "" "female i.income_cat married ft_student fpt_working advanced i.age_cat"{
273
+ foreach covar in "first_info new_info" "first_info new_info z_gap_goal_exp" "first_info new_info z_gap_actual_exp"{
274
+
275
+ * Run regression
276
+ reg avg_delta_ex1 wave2 wave3 `covar' `controls' if `restrict', r
277
+ eststo spec_`k'
278
+
279
+ * Store coefficients from certain regressions
280
+ if `k' == 1{
281
+ loc coeff : di %4.2f _b[new_info]
282
+ latex_write enhinfobcpcoeff `coeff' numbers
283
+ }
284
+ else if `k' == 2{
285
+ loc coeff : di %4.2f _b[z_gap_goal_exp]
286
+ latex_write goalexpbcpcoeff `coeff' numbers
287
+ }
288
+ else if `k' == 3{
289
+ loc coeff : di %4.2f _b[z_gap_actual_exp]
290
+ latex_write actualexpbcpcoeff `coeff' numbers
291
+ }
292
+
293
+ * Store dependent variable mean
294
+ ci means avg_delta_ex1 if `restrict' & !missing(gap_actual_exp)
295
+ local m : di %4.2f r(mean)
296
+ local se : di %4.2f r(se)
297
+ estadd local dvmean `m'
298
+ estadd local dvse "(`se')"
299
+ ci means avg_delta_ex1 if `restrict' & !missing(gap_actual_exp) & ///
300
+ control_info == 1
301
+ local mcontrol : di %4.2f r(mean)
302
+ local secontrol : di %4.2f r(se)
303
+ estadd local dvmeancontrol `mcontrol'
304
+ if `k' == 1 latex_write bcpinfoctrlmean `mcontrol' numbers
305
+ estadd local dvsecontrol "(`secontrol')"
306
+ estadd local wavefe "Yes"
307
+ if `k' == 1 latex_write bcpregmean `m' numbers
308
+ if "`controls'" != "" estadd local ctrl "Yes"
309
+
310
+ loc ++k
311
+ }
312
+ }
313
+
314
+ * Export regression output
315
+ estout spec_1 spec_2 spec_3 using "regs_avg_delta_ex1_all.tex", style(tex) margin replace eqlabels(none) ///
316
+ keep(first_info new_info z_gap_goal_exp z_gap_actual_exp) wrap varwidth(25) ///
317
+ order(first_info new_info z_gap_goal_exp z_gap_actual_exp) ///
318
+ mgroups("\shortstack{Behavior change premium}", pattern(1 0 0) span prefix(\multicolumn{@span}{c}{) suffix(})) ///
319
+ mlabels("(1)" "(2)" "(3)" "(4)",span prefix(\multicolumn{@span}{c}{) suffix(})) ///
320
+ varlabels(z_gap_goal_exp "Goal $-$ exp. attend. (z-score)" z_gap_actual_exp "Actual $-$ exp. attend. (z-score)" first_info "Basic info. treatment" new_info "Enhanced info. treatment" _cons "Constant") ///
321
+ cells(b(star fmt(%9.2f)) se(par fmt(%9.2f))) msign(--) starlevels(* 0.1 ** 0.05 *** 0.01) stardetach ///
322
+ stats(dvmean dvse dvmeancontrol dvsecontrol wavefe N, l("Dep. var. mean:" " " "Dep. var. mean," "info. control group:" "\hline Wave FEs" "N") fmt(%8.0fc %8.0fc %8.0fc %8.0fc %8.0fc %8.0fc)) ///
323
+ collabels(,none) prehead( "\begin{tabular}{l*{@M}{r @{} l}}" "\hline") ///
324
+ posthead("\hline") prefoot("\hline") postfoot("\hline\hline" "\end{tabular}")
325
+
326
+ * Export regression output with demographic controls
327
+ estout spec_4 spec_5 spec_6 using "regs_avg_delta_ex1_all_demo.tex", style(tex) margin replace eqlabels(none) ///
328
+ keep(first_info new_info z_gap_goal_exp z_gap_actual_exp) ///
329
+ wrap varwidth(25) order(first_info new_info z_gap_goal_exp z_gap_actual_exp) ///
330
+ mgroups("\shortstack{Behavior change premium}", pattern(1 0 0) span prefix(\multicolumn{@span}{c}{) suffix(})) ///
331
+ mlabels("(1)" "(2)" "(3)" "(4)",span prefix(\multicolumn{@span}{c}{) suffix(})) ///
332
+ varlabels(z_gap_goal_exp "Goal $-$ exp. attend. (z-score)" z_gap_actual_exp "Actual $-$ exp. attend. (z-score)" first_info "Basic info. treatment" new_info "Enhanced info. treatment" _cons "Constant") ///
333
+ cells(b(star fmt(%9.2f)) se(par fmt(%9.2f))) msign(--) starlevels(* 0.1 ** 0.05 *** 0.01) stardetach ///
334
+ stats(dvmean dvse dvmeancontrol dvsecontrol ctrl wavefe N, l("Dep. var. mean:" " " "Dep. var. mean," "info. control group:" "\hline Demographic controls" "Wave FEs" "N") fmt(%8.0fc %8.0fc %8.0fc %8.0fc %8.0fc %8.0fc %8.0fc)) ///
335
+ collabels(,none) prehead( "\begin{tabular}{l*{@M}{r @{} l}}" "\hline") ///
336
+ posthead("\hline") prefoot("\hline") postfoot("\hline\hline" "\end{tabular}")
337
+
338
+
339
+ * Run regressions of contract take-up on regressors with a constant restriction
340
+ preserve
341
+
342
+ * Reshape to pool contracts
343
+ reshape long commit, i(id) j(t)
344
+
345
+ * Run regressions with constant restriction
346
+ eststo clear
347
+ loc k = 1
348
+ foreach controls in "" "female i.income_cat married ft_student fpt_working advanced i.age_cat"{
349
+ foreach covar in "first_info new_info" "z_avg_delta_ex1 first_info new_info" "z_gap_goal_exp first_info new_info" "z_gap_actual_exp first_info new_info"{
350
+
351
+ * Run regression
352
+ reg commit i.t wave2 wave3 `covar' `controls' if `restrict', vce(cluster id)
353
+ eststo spec_commit`k'
354
+
355
+ * Store coefficients from certain regressions
356
+ if `k' == 1{
357
+ loc coeff : di %2.1f abs(_b[new_info]*100)
358
+ latex_write enhinfoMCcoeff `coeff' numbers
359
+ }
360
+ else if `k' == 2{
361
+ loc coeff : di %2.0f _b[z_avg_delta_ex1]*100
362
+ latex_write bcpMCcoeff `coeff' numbers
363
+ }
364
+ else if `k' == 3{
365
+ loc coeff : di %2.1f _b[z_gap_goal_exp]*100
366
+ latex_write goalexpMCcoeff `coeff' numbers
367
+ }
368
+
369
+ * Store dependent variable mean
370
+ ci means commit if `restrict'
371
+ local m : di %4.2f r(mean)
372
+ local mpct : di %4.0f r(mean)*100
373
+ local se : di %4.2f r(se)
374
+ estadd local dvmean `m'
375
+ estadd local dvse "(`se')"
376
+ ci means commit if `restrict' & control_info == 1
377
+ local mcontrol : di %4.2f r(mean)
378
+ local secontrol : di %4.2f r(se)
379
+ estadd local dvmeancontrol `mcontrol'
380
+ estadd local dvsecontrol "(`secontrol')"
381
+ estadd local wavefe "Yes"
382
+ estadd local ccfe "Yes"
383
+ if `k' == 1{
384
+ latex_write MCregmean `m' numbers
385
+ latex_write MCregmeanPCT `mpct' numbers
386
+ }
387
+ if "`controls'" != "" estadd local ctrl "Yes"
388
+
389
+ loc ++k
390
+ }
391
+ }
392
+
393
+ * Export regression output
394
+ estout spec_commit1 spec_commit2 spec_commit3 spec_commit4 using "regs_commit_pooled_all.tex", ///
395
+ style(tex) margin replace eqlabels(none) wrap varwidth(25) ///
396
+ keep(first_info new_info z_avg_delta_ex1 z_gap_goal_exp z_gap_actual_exp) ///
397
+ order(first_info new_info z_avg_delta_ex1 z_gap_goal_exp z_gap_actual_exp) ///
398
+ mgroups("\shortstack{Take-up of \`\`more'' visits contracts}", pattern(1 0 0 0) span prefix(\multicolumn{@span}{c}{) suffix(})) ///
399
+ mlabels("(1)" "(2)" "(3)" "(4)",span prefix(\multicolumn{@span}{c}{) suffix(})) ///
400
+ varlabels(z_avg_delta_ex1 "Behavior change premium (z-score)" z_gap_goal_exp "Goal $-$ exp. attend. (z-score)" z_gap_actual_exp "Actual $-$ exp. attend. (z-score)" first_info "Basic info. treatment" new_info "Enhanced info. treatment" _cons "Constant") ///
401
+ cells(b(star fmt(%9.3f)) se(par fmt(%9.3f))) msign(--) starlevels(* 0.1 ** 0.05 *** 0.01) stardetach ///
402
+ stats(dvmean dvse dvmeancontrol dvsecontrol wavefe ccfe N N_clust, l("Dep. var. mean:" " " "Dep. var. mean," "info. control group:" "\hline Wave FEs" "Contract FEs" "N" "Clusters") fmt(%8.0fc %8.0fc %8.0fc %8.0fc %8.0fc %8.0fc %8.0fc %8.0fc)) ///
403
+ collabels(,none) prehead( "\begin{tabular}{l*{@M}{r @{} l}}" "\hline") ///
404
+ posthead("\hline") prefoot("\hline") postfoot("\hline\hline" "\end{tabular}")
405
+
406
+ * Export regression output with demographic controls
407
+ estout spec_commit5 spec_commit6 spec_commit7 spec_commit8 using "regs_commit_pooled_all_demo.tex", ///
408
+ style(tex) margin replace eqlabels(none) wrap varwidth(25) ///
409
+ keep(first_info new_info z_avg_delta_ex1 z_gap_goal_exp z_gap_actual_exp) ///
410
+ order(first_info new_info z_avg_delta_ex1 z_gap_goal_exp z_gap_actual_exp) ///
411
+ mgroups("\shortstack{Take-up of \`\`more'' visits contracts}", pattern(1 0 0 0) span prefix(\multicolumn{@span}{c}{) suffix(})) ///
412
+ mlabels("(1)" "(2)" "(3)" "(4)",span prefix(\multicolumn{@span}{c}{) suffix(})) ///
413
+ varlabels(z_avg_delta_ex1 "Behavior change premium (z-score)" z_gap_goal_exp "Goal $-$ exp. attend. (z-score)" z_gap_actual_exp "Actual $-$ exp. attend. (z-score)" first_info "Basic info. treatment" new_info "Enhanced info. treatment" _cons "Constant") ///
414
+ cells(b(star fmt(%9.3f)) se(par fmt(%9.3f))) msign(--) starlevels(* 0.1 ** 0.05 *** 0.01) stardetach ///
415
+ stats(dvmean dvse dvmeancontrol dvsecontrol ctrl wavefe ccfe N N_clust, l("Dep. var. mean:" " " "Dep. var. mean," "info. control group:" "\hline Demographic controls" "Wave FEs" "Contract FEs" "N" "Clusters") fmt(%8.0fc %8.0fc %8.0fc %8.0fc %8.0fc %8.0fc %8.0fc %8.0fc %8.0fc)) ///
416
+ collabels(,none) prehead( "\begin{tabular}{l*{@M}{r @{} l}}" "\hline") ///
417
+ posthead("\hline") prefoot("\hline") postfoot("\hline\hline" "\end{tabular}")
418
+
419
+ restore
420
+
421
+
422
+ *** additions to numbers.tex **************************************************
423
+
424
+ *** Change in visits due to 12-visit contract assignment ***
425
+ * Generate variable for comparing treatment with control
426
+ gen gotcontract = 1 if treatment == "threshold80_12"
427
+ replace gotcontract = 0 if treatment == "control"
428
+
429
+ * Test for difference and store mean difference by take-up of contract
430
+ ttest visits if wave3 == 1 & commit12 == 1, by(gotcontract)
431
+ loc takeup : di %3.2f r(mu_2)-r(mu_1)
432
+ latex_write wantgottwelvediff `takeup' numbers
433
+
434
+ ttest visits if wave3 == 1 & commit12 == 0, by(gotcontract)
435
+ loc takeup : di %3.2f r(mu_2)-r(mu_1)
436
+ latex_write rejectgottwelvediff `takeup' numbers
437
+
438
+ * Store percentage of those who took up & got the contract who met the threshold
439
+ gen wantedgot12visits = visits if treatment == "threshold80_12" & commit12 == 1
440
+ gen under12 = wantedgot12visits < 12 if !missing(wantedgot12visits)
441
+ sum under12
442
+ loc pctunder : di %2.0f round(r(mean)*100)
443
+ latex_write pctundertwelve `pctunder' numbers
444
+
445
+
446
+ *** Statistics about WTPs at the slider maximum ***
447
+ * Reshape data for one observation per participant per incentive
448
+ preserve
449
+ keep wtp* maxwtp* id
450
+ reshape long wtp maxwtp, i(id) j(incentive)
451
+
452
+ * Generate a variable for the maximum slider value
453
+ gen maxval = incentive*30
454
+
455
+ * Store percentage of participants who maxed out slider
456
+ gen slidermaxed = !missing(maxwtp)
457
+ sum slidermaxed
458
+ loc pctmaxed : di %2.1f r(mean)*100
459
+ latex_write pctmaxed `pctmaxed' numbers
460
+
461
+ * Generate variables for fill-in-blank answers relation to maximum slider value
462
+ gen overmaxval = maxwtp > maxval if !missing(maxwtp)
463
+ gen atmaxval = maxwtp == maxval if !missing(maxwtp)
464
+ gen belowmaxval = maxwtp < maxval if !missing(maxwtp)
465
+
466
+ * Store percent of participants in each category
467
+ foreach relation in over at below{
468
+ sum `relation'maxval
469
+ loc pct`relation'max : di %2.0f r(mean)*100
470
+ latex_write pct`relation'max `pct`relation'max' numbers
471
+ }
472
+ restore
473
+
474
+
475
+ *** Share of individual behavior change value measures that are negative ***
476
+ * Reshape data for one observation per participant per incentive increase
477
+ preserve
478
+ keep delta* id
479
+ reshape long delta, i(id) j(inc)
480
+
481
+ * Estimate and store relevant statistic
482
+ gen delta_negative = delta < 0
483
+ sum delta_negative
484
+ loc pctdeltaneg : di %2.0f r(mean)*100
485
+ latex_write pctdeltaneg `pctdeltaneg' numbers
486
+ restore
487
+
488
+
489
+ *** Additional summary statistics ***
490
+ * Percent female and male
491
+ sum female
492
+ loc pctfemale : di %2.0f r(mean)*100
493
+ loc pctfemalealt : di %2.1f r(mean)*100
494
+ loc pctmalealt : di %2.1f (1 - r(mean))*100
495
+ loc fracfemale : di %4.3f r(mean)
496
+ loc fracmale : di %4.3f (1 - r(mean))
497
+ foreach stat in pctfemale pctfemalealt pctmalealt fracfemale fracmale{
498
+ latex_write `stat' ``stat'' numbers
499
+ }
500
+
501
+ * Mean imputed age
502
+ sum imp_age
503
+ loc meanage : di %2.0f r(mean)
504
+ latex_write meanage `meanage' numbers
505
+
506
+ * Percent students
507
+ sum ft_student
508
+ loc pctstudent : di %2.0f r(mean)*100
509
+ latex_write pctstudent `pctstudent' numbers
510
+
511
+ * Percent working
512
+ sum fpt_working
513
+ loc pctworking : di %2.0f r(mean)*100
514
+ latex_write pctworking `pctworking' numbers
515
+
516
+ * Percent married
517
+ sum married
518
+ loc pctmarried : di %2.0f r(mean)*100
519
+ latex_write pctmarried `pctmarried' numbers
520
+
521
+ * Mean visits recorded in past 100 days
522
+ sum visits_100
523
+ loc meanpastvisits : di %2.0f r(mean)
524
+ latex_write meanpastvisits `meanpastvisits' numbers
525
+
526
+ * Mean visits recalled in past 100 days
527
+ sum past100days_went
528
+ loc meanpastvisitsrecall : di %2.0f r(mean)
529
+ latex_write meanpastvisitsrecall `meanpastvisitsrecall' numbers
530
+
531
+ * Attention check
532
+ gen failed_attention = passed_attention_check == 0
533
+ sum failed
534
+ loc pctfailed : di %2.1f r(mean)*100
535
+ latex_write pctfailedac `pctfailed' numbers
536
+
537
+ * Chose dominated option
538
+ sum areyousure_prefer0_to_20
539
+ loc dom20 = r(N)
540
+ sum areyousure_prefer0_to_80
541
+ loc dom80 = r(N)
542
+ sum id
543
+ loc pctdominated : di %2.1f ((`dom20' + `dom80')/r(N))*100
544
+ latex_write pctchosedom `pctdominated' numbers
545
+
546
+ * Comprehension check
547
+ gen failed_cc = passed_comprehension_check == 0
548
+ sum failed_cc
549
+ loc pctfailed : di %2.1f r(mean)*100
550
+ latex_write pctfailedcc `pctfailed' numbers
551
+
552
+ * Numeracy check
553
+ gen passed_nc = 1 if !missing(q137) & !missing(q138)
554
+ replace passed_nc = 0 if (q138 == "133" | q138 == "133333" | q138 == "200000" | ///
555
+ q138 == "2500" | q138 == "40,000" | q138 == "40,000.00" | ///
556
+ q138 == "$400,00.00" | q138 == "400" | q138 == "400,00" | q138 == "40000" | ///
557
+ q138 == "4000000" | q138 == "500,000" | q138 == "50000" | q138 == "800000" | ///
558
+ q138 == "four") & !missing(passed_nc)
559
+ replace passed_nc = 0 if q137 != 100 & !missing(passed_nc)
560
+ sum passed_nc
561
+ loc pctpassed : di %2.1f r(mean)*100
562
+ latex_write passednumeracy `pctpassed' numbers
563
+
564
+ * Take-up of contract for fewer visits with & without exclusions above
565
+ preserve
566
+ reshape long commit anticommit, i(id) j(t)
567
+ sum anticommit
568
+ loc takeup : di %2.0f r(mean)*100
569
+ latex_write anticommitrate `takeup' numbers
570
+
571
+ sum anticommit if passed_comprehension_check == 1 ///
572
+ & passed_attention_check == 1 & missing(areyousure_prefer0_to_20) ///
573
+ & missing(areyousure_prefer0_to_80)
574
+ loc takeup : di %2.0f r(mean)*100
575
+ latex_write anticommitrateexcl `takeup' numbers
576
+ restore
577
+
578
+ * Range of percent take-up of contracts for fewer visits
579
+ loc anticommitpctmin = 1 // initialize for contract with lowest take-up
580
+ loc anticommitpctmax = 0 // initialize for contract with highest take-up
581
+ forval i = 8(4)16{
582
+ sum anticommit`i'
583
+ if r(mean) > `anticommitpctmax' loc anticommitpctmax = r(mean)
584
+ if r(mean) < `anticommitpctmin' loc anticommitpctmin = r(mean)
585
+ }
586
+ foreach stat in min max{
587
+ loc anticommitpct`stat' : di %4.0f `anticommitpct`stat''*100
588
+ latex_write anticommitpct`stat' `anticommitpct`stat'' numbers
589
+ }
590
+
591
+ * Number of participants in waves 2 & 3
592
+ gen wave23 = (wave2 | wave3)
593
+ sum wave23
594
+ loc obs = r(mean)*r(N)
595
+ latex_write wtwothreeobs `obs' numbers
596
+
597
+ * Average expected visits for different incentives
598
+ sum days_0
599
+ loc avgzero : di %2.1f r(mean)
600
+ latex_write avgexpnoinc `avgzero' numbers
601
+ sum days_7
602
+ loc avgseven : di %2.1f r(mean)
603
+ latex_write avgexpseveninc `avgseven' numbers
604
+ loc diff : di %2.1f `avgseven'-`avgzero'
605
+ latex_write avgexpdiffseven `diff' numbers
606
+
607
+ * Average actual visits for different incentives
608
+ sum visits if incentive==0
609
+ loc avgzero : di %2.1f r(mean)
610
+ latex_write avgactnoinc `avgzero' numbers
611
+ sum visits if incentive==7
612
+ loc avgseven : di %2.1f r(mean)
613
+ latex_write avgactseveninc `avgseven' numbers
614
+ loc diff : di %2.1f `avgseven'-`avgzero'
615
+ latex_write avgactdiffseven `diff' numbers
616
+
617
+ * Regression of attendance on average past attendance
618
+ reg visits past4
619
+ matrix temp = r(table)'
620
+ loc b : di %4.3f temp[1,1]
621
+ loc se : di %4.3f temp[1,2]
622
+ latex_write attcoeff `b' numbers
623
+ latex_write attcoeffse `se' numbers
624
+
625
+ * Effect of $2 piece-rate incentive
626
+ gen got_2 = 1 if incentive == 2
627
+ replace got_2 = 0 if treatment == "control"
628
+ * On expectations
629
+ ttest days_2 == days_0
630
+ * On realized attendance
631
+ ttest visits, by(got_2) unpaired
632
+
633
+
634
+ *** Generate pairwise correlation estimates with bootstrapping ***
635
+ * Pairwise correlation of behavior change premium at each incentive level
636
+ capture program drop avg_pwcorr_bcp
637
+ program define avg_pwcorr_bcp, rclass
638
+
639
+ * Initialize values
640
+ loc m = 0
641
+ loc agg_corr = 0
642
+
643
+ * Loop through each incentive level
644
+ foreach j in 1 2 3 5 7 {
645
+ foreach k in 2 3 5 7 12 {
646
+ if `j' < `k'{
647
+ pwcorr delta`j' delta`k'
648
+ loc agg_corr = `agg_corr' + r(rho)
649
+ loc ++m
650
+ }
651
+ }
652
+ }
653
+
654
+ * Average pairwise correlation
655
+ return scalar avg_pwcorr = `agg_corr'/`m'
656
+
657
+ end
658
+
659
+ * Generate estimates with bootstrapping
660
+ bootstrap avg_pwcorr_bcp = r(avg_pwcorr), reps(1000) cluster(id) seed(12345) ///
661
+ nodrop level(95): avg_pwcorr_bcp
662
+ estat bootstrap, all
663
+
664
+ * Store estimates
665
+ matrix temp_b = e(b)
666
+ loc avg : di %3.2f temp_b[1,1]
667
+ latex_write avgbcpcorr `avg' numbers
668
+ matrix temp_se = e(se)
669
+ loc stderr : di %3.2f temp_se[1,1]
670
+ latex_write avgbcpcorrse `stderr' numbers
671
+
672
+
673
+ * Pairwise correlation of take-up of each more-visits contract
674
+ capture program drop avg_pwcorr_mc
675
+ program define avg_pwcorr_mc, rclass
676
+
677
+ * Initialize values
678
+ loc m = 0
679
+ loc agg_corr = 0
680
+
681
+ * Loop through each more-visits contract
682
+ foreach j in 8 12 {
683
+ foreach k in 12 16 {
684
+ if `j' < `k'{
685
+ pwcorr commit`j' commit`k'
686
+ loc agg_corr = `agg_corr' + r(rho)
687
+ loc ++m
688
+ }
689
+ }
690
+ }
691
+
692
+ * Average pairwise correlation
693
+ return scalar avg_pwcorr = `agg_corr'/`m'
694
+
695
+ end
696
+
697
+ * Generate estimates with bootstrapping
698
+ bootstrap avg_pwcorr_mc = r(avg_pwcorr), reps(1000) cluster(id) seed(12345) ///
699
+ nodrop level(95): avg_pwcorr_mc
700
+ estat bootstrap, all
701
+
702
+ * Store estimates
703
+ matrix temp_b = e(b)
704
+ loc avg : di %3.2f temp_b[1,1]
705
+ latex_write avgMCcorr `avg' numbers
706
+ matrix temp_se = e(se)
707
+ loc stderr : di %3.2f temp_se[1,1]
708
+ latex_write avgMCcorrse `stderr' numbers
107/replication_package/Code/master_do_file_for_analysis.do ADDED
@@ -0,0 +1,41 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ *** MASTER ANALYSIS FILE FOR Carrera, Royer, Stehr, Sydnor, and Taubinsky (2021)
2
+ *******************************************************************************
3
+
4
+ ** Initial set-up **
5
+ clear all
6
+ set more off
7
+
8
+ ** Set main directory to location of replication folder **
9
+ cd ..
10
+ global main "`c(pwd)'"
11
+ // NOTE: If you start a new Stata session by opening this do file, your working
12
+ // directory will typically default to the Code subfolder. The code above will
13
+ // then correctly set the main directory. If that is not the case, then please
14
+ // uncomment and edit the code below to manually choose the correct location.
15
+ // if "`c(os)'" == "MacOSX" global main "/Users/`c(username)'/Downloads/Who_Chooses_Commitment_Replication"
16
+ // else global main "C:/Users/`c(username)'/Downloads/Who_Chooses_Commitment_Replication"
17
+
18
+ ** Install necessary packages **
19
+ foreach pkg in eststo binscatter coefplot{
20
+ cap which `pkg'
21
+ if _rc ssc install `pkg'
22
+ }
23
+
24
+ ** Create a program to write commands to latex files **
25
+ cap program drop latex_write
26
+ program define latex_write
27
+ if "`c(os)'" == "MacOSX" local command '\newcommand{\\`1'}{`2'}'
28
+ else local command \newcommand{\\`1'}{`2'}
29
+ ! echo `command' >> "`3'.tex"
30
+ end
31
+
32
+ ** Remove old versions of files **
33
+ cap rm "$main/Output/numbers.tex"
34
+ cap rm "$main/Output/numbers_struct.tex"
35
+ cap rm "$main/Output/numbers_struct_appx.tex"
36
+
37
+ ** Run analysis files **
38
+ do "$main/Code/Stata/Tables"
39
+ do "$main/Code/Stata/Figures"
40
+ do "$main/Code/Stata/Appendix"
41
+ do "$main/Code/Stata/Parameter estimates"
107/replication_package/Code/run_simulations.m ADDED
@@ -0,0 +1,1205 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ function run_simulations()
2
+ % Runs simulations of commitment contract game for different populations
3
+
4
+ % NOTE: If you start a MATLAB session by opening this file, your current
5
+ % folder will typically default to the Code subfolder. If that is not the
6
+ % case, MATLAB will usually prompt you to change it to that folder when you
7
+ % run this file. You can also edit the code below to manually choose the
8
+ % correct location.
9
+ % cd '/Users/Your Name/Downloads/Who_Chooses_Commitment_Replication/Code'
10
+
11
+ % declare global
12
+ global OUTPUT;
13
+ OUTPUT = '../Output';
14
+
15
+ % add path to intermediate files
16
+ addpath('MATLAB');
17
+
18
+ % delete old output file
19
+ numbersfile = [OUTPUT '/simulations.tex'];
20
+ if (exist(numbersfile,'file')), delete(numbersfile); end
21
+
22
+
23
+ %% Set game properties
24
+
25
+ % Game properties from experimental design
26
+ props12.a_star = 12;
27
+ props12.T = 28;
28
+ props12.p = 80;
29
+
30
+ % Alternate contract threshold properties
31
+ props8 = props12;
32
+ props8.a_star = 8;
33
+ props16 = props12;
34
+ props16.a_star = 16;
35
+
36
+ % Game properties with no penalty (equivalent to no contract)
37
+ props12NoP = props12;
38
+ props12NoP.p = 0;
39
+ props8NoP = props8;
40
+ props8NoP.p = 0;
41
+ props16NoP = props16;
42
+ props16NoP.p = 0;
43
+
44
+ % Set lower bound on support of cost distribution
45
+ minC = 0;
46
+
47
+
48
+ %% Instantiate games for attendance comparisons
49
+
50
+ % chose 12+ visit contract
51
+ params12 = load_parameters('commit12');
52
+ game12 = gymGame(props12, params12, minC, 'chose 12+ contract');
53
+ mu12 = params12.mu; % store share of pop. in chose 12+ contract group
54
+
55
+ % add heterogeneity along past attendance (below vs. above median)
56
+ params12AM = load_parameters('amcommit');
57
+ game12AM = gymGame(props12, params12AM, minC, 'chose 12+, above med. att.');
58
+ params12BM = load_parameters('bmcommit');
59
+ game12BM = gymGame(props12, params12BM, minC, 'chose 12+, below med. att.');
60
+
61
+ % add heterogeneity along past attendance (quartiles)
62
+ params12Q1 = load_parameters('qfstcommit');
63
+ game12Q1 = gymGame(props12, params12Q1, minC, 'chose 12+, q1 att.');
64
+ params12Q2 = load_parameters('qsndcommit');
65
+ game12Q2 = gymGame(props12, params12Q2, minC, 'chose 12+, q2 att.');
66
+ params12Q3 = load_parameters('qthdcommit');
67
+ game12Q3 = gymGame(props12, params12Q3, minC, 'chose 12+, q3 att.');
68
+ params12Q4 = load_parameters('qfthcommit');
69
+ game12Q4 = gymGame(props12, params12Q4, minC, 'chose 12+, q4 att.');
70
+
71
+ % add heterogeneity along past attendance (median) & info treatment
72
+ params12AMInfo = load_parameters('aminfocommit');
73
+ game12AMInfo = gymGame(props12, params12AMInfo, minC, 'chose 12+, above med. att., info treat');
74
+ params12AMControl = load_parameters('amctrlcommit');
75
+ game12AMControl = gymGame(props12, params12AMControl, minC, 'chose 12+, above med. att., control');
76
+ params12BMInfo = load_parameters('bminfocommit');
77
+ game12BMInfo = gymGame(props12, params12BMInfo, minC, 'chose 12+, below med. att., info treat');
78
+ params12BMControl = load_parameters('bmctrlcommit');
79
+ game12BMControl = gymGame(props12, params12BMControl, minC, 'chose 12+, below med. att., control');
80
+
81
+ % add heterogeneity along past attendance (quartiles) & info treatment
82
+ params12Q1Info = load_parameters('qfstinfocommit');
83
+ game12Q1Info = gymGame(props12, params12Q1Info, minC, 'chose 12+, q1 att., info treat');
84
+ params12Q1Control = load_parameters('qfstctrlcommit');
85
+ game12Q1Control = gymGame(props12, params12Q1Control, minC, 'chose 12+, q1 att., control');
86
+ params12Q2Info = load_parameters('qsndinfocommit');
87
+ game12Q2Info = gymGame(props12, params12Q2Info, minC, 'chose 12+, q2 att., info treat');
88
+ params12Q2Control = load_parameters('qsndctrlcommit');
89
+ game12Q2Control = gymGame(props12, params12Q2Control, minC, 'chose 12+, q2 att., control');
90
+ params12Q3Info = load_parameters('qthdinfocommit');
91
+ game12Q3Info = gymGame(props12, params12Q3Info, minC, 'chose 12+, q3 att., info treat');
92
+ params12Q3Control = load_parameters('qthdctrlcommit');
93
+ game12Q3Control = gymGame(props12, params12Q3Control, minC, 'chose 12+, q3 att., control');
94
+ params12Q4Info = load_parameters('qfthinfocommit');
95
+ game12Q4Info = gymGame(props12, params12Q4Info, minC, 'chose 12+, q4 att., info treat');
96
+ params12Q4Control = load_parameters('qfthctrlcommit');
97
+ game12Q4Control = gymGame(props12, params12Q4Control, minC, 'chose 12+, q4 att., control');
98
+
99
+ % add no penalty versions of the above games
100
+ % note: the no penalty contracts are equivalent to no contract being
101
+ % assigned due to these populations' rejection of the contract
102
+ game12NoP = gymGame(props12NoP, params12, minC, 'chose 12+, no penalty');
103
+ game12AMNoP = gymGame(props12NoP, params12AM, minC, 'chose 12+, above med. att., no penalty');
104
+ game12BMNoP = gymGame(props12NoP, params12BM, minC, 'chose 12+, below med. att., no penalty');
105
+ game12Q1NoP = gymGame(props12NoP, params12Q1, minC, 'chose 12+, q1 att., no penalty');
106
+ game12Q2NoP = gymGame(props12NoP, params12Q2, minC, 'chose 12+, q2 att., no penalty');
107
+ game12Q3NoP = gymGame(props12NoP, params12Q3, minC, 'chose 12+, q3 att., no penalty');
108
+ game12Q4NoP = gymGame(props12NoP, params12Q4, minC, 'chose 12+, q4 att., no penalty');
109
+ game12AMInfoNoP = gymGame(props12NoP, params12AMInfo, minC, ...
110
+ 'chose 12+, above med. att., info treat, no penalty');
111
+ game12AMControlNoP = gymGame(props12NoP, params12AMControl, minC, ...
112
+ 'chose 12+, above med. att., control, no penalty');
113
+ game12BMInfoNoP = gymGame(props12NoP, params12BMInfo, minC, ...
114
+ 'chose 12+, below med. att., info treat, no penalty');
115
+ game12BMControlNoP = gymGame(props12NoP, params12BMControl, minC, ...
116
+ 'chose 12+, below med. att., control, no penalty');
117
+ game12Q1InfoNoP = gymGame(props12NoP, params12Q1Info, minC, ...
118
+ 'chose 12+, q1 att., info treat, no penalty');
119
+ game12Q1ControlNoP = gymGame(props12NoP, params12Q1Control, ...
120
+ minC, 'chose 12+, q1 att., control, no penalty');
121
+ game12Q2InfoNoP = gymGame(props12NoP, params12Q2Info, minC, ...
122
+ 'chose 12+, q2 att., info treat, no penalty');
123
+ game12Q2ControlNoP = gymGame(props12NoP, params12Q2Control, minC, ...
124
+ 'chose 12+, q2 att., control, no penalty');
125
+ game12Q3InfoNoP = gymGame(props12NoP, params12Q3Info, minC, ...
126
+ 'chose 12+, q3 att., info treat, no penalty');
127
+ game12Q3ControlNoP = gymGame(props12NoP, params12Q3Control, minC, ...
128
+ 'chose 12+, q3 att., control, no penalty');
129
+ game12Q4InfoNoP = gymGame(props12NoP, params12Q4Info, minC, ...
130
+ 'chose 12+, q4 att., info treat, no penalty');
131
+ game12Q4ControlNoP = gymGame(props12NoP, params12Q4Control, minC, ...
132
+ 'chose 12+, q4 att., control, no penalty');
133
+
134
+
135
+ %% Compare attendance outcomes across different simulated populations
136
+
137
+ % chose 12+ visit contract
138
+ mc(1) = game12;
139
+ mc(1).mu = 1; % homogeneous population
140
+ mcnp(1) = game12NoP;
141
+ mcnp(1).mu = 1; % homogeneous population
142
+ simulate_attendance(mc,mcnp,'all')
143
+
144
+ % with hetereogenity along past attendance (above vs. below median)
145
+ mc = [game12AM game12BM];
146
+ mcnp = [game12AMNoP game12BMNoP];
147
+ simulate_attendance(mc,mcnp,'matt')
148
+
149
+ % with hetereogenity along past attendance (quartile)
150
+ mc = [game12Q1 game12Q2 game12Q3 game12Q4];
151
+ mcnp = [game12Q1NoP game12Q2NoP game12Q3NoP game12Q4NoP];
152
+ simulate_attendance(mc,mcnp,'qatt')
153
+
154
+ % with heterogeneity along past attendance (median) & info treatment
155
+ mc = [game12AMInfo game12AMControl game12BMInfo game12BMControl];
156
+ mcnp = [game12AMInfoNoP game12AMControlNoP game12BMInfoNoP game12BMControlNoP];
157
+ simulate_attendance(mc,mcnp,'mattinfo')
158
+
159
+ % with heterogeneity along past attendance (quartile) & info treatment
160
+ mc = [game12Q1Info game12Q1Control game12Q2Info game12Q2Control ...
161
+ game12Q3Info game12Q3Control game12Q4Info game12Q4Control];
162
+ mcnp = [game12Q1InfoNoP game12Q1ControlNoP game12Q2InfoNoP game12Q2ControlNoP ...
163
+ game12Q3InfoNoP game12Q3ControlNoP game12Q4InfoNoP game12Q4ControlNoP];
164
+ simulate_attendance(mc,mcnp,'qattinfo')
165
+
166
+
167
+ %% Instantiate games for welfare/efficiency comparisons
168
+ % with heterogeneity along past attendance (median) & info treatment
169
+
170
+ % add 8+ contract versions (with & without penalty)
171
+ params8AMInfo = load_parameters('aminfocommite');
172
+ game8AMInfo = gymGame(props8, params8AMInfo, minC, 'chose 8+, above med. att., info treat');
173
+ game8AMInfoNoP = gymGame(props8NoP, params8AMInfo, minC, ...
174
+ 'chose 8+, above med. att., info treat, no penalty');
175
+ params8AMControl = load_parameters('amctrlcommite');
176
+ game8AMControl = gymGame(props8, params8AMControl, minC, 'chose 8+, above med. att., control');
177
+ game8AMControlNoP = gymGame(props8NoP, params8AMControl, minC, ...
178
+ 'chose 8+, above med. att., control, no penalty');
179
+ params8BMInfo = load_parameters('bminfocommite');
180
+ game8BMInfo = gymGame(props8, params8BMInfo, minC, 'chose 8+, below med. att., info treat');
181
+ game8BMInfoNoP = gymGame(props8NoP, params8BMInfo, minC, ...
182
+ 'chose 8+, below med. att., info treat, no penalty');
183
+ params8BMControl = load_parameters('bmctrlcommite');
184
+ game8BMControl = gymGame(props8, params8BMControl, minC, 'chose 8+, below med. att., control');
185
+ game8BMControlNoP = gymGame(props8NoP, params8BMControl, minC, ...
186
+ 'chose 8+, below med. att., control, no penalty');
187
+
188
+ % add 16+ contract versions (with & without penalty)
189
+ params16AMInfo = load_parameters('aminfocommits');
190
+ game16AMInfo = gymGame(props16, params16AMInfo, minC, 'chose 16+, above med. att., info treat');
191
+ game16AMInfoNoP = gymGame(props16NoP, params16AMInfo, minC, ...
192
+ 'chose 16+, above med. att., info treat, no penalty');
193
+ params16AMControl = load_parameters('amctrlcommits');
194
+ game16AMControl = gymGame(props16, params16AMControl, minC, 'chose 16+, above med. att., control');
195
+ game16AMControlNoP = gymGame(props16NoP, params16AMControl, minC, ...
196
+ 'chose 16+, above med. att., control, no penalty');
197
+ params16BMInfo = load_parameters('bminfocommits');
198
+ game16BMInfo = gymGame(props16, params16BMInfo, minC, 'chose 16+, below med. att., info treat');
199
+ game16BMInfoNoP = gymGame(props16NoP, params16BMInfo, minC, ...
200
+ 'chose 16+, below med. att., info treat, no penalty');
201
+ params16BMControl = load_parameters('bmctrlcommits');
202
+ game16BMControl = gymGame(props16, params16BMControl, minC, 'chose 16+, below med. att., control');
203
+ game16BMControlNoP = gymGame(props16NoP, params16BMControl, minC, ...
204
+ 'chose 16+, below med. att., control, no penalty');
205
+
206
+ % add versions for those who rejected the commitment contracts
207
+ paramsNo12AMInfo = load_parameters('aminfonocommit');
208
+ gameNo12AMInfo = gymGame(props12NoP, paramsNo12AMInfo, minC, ...
209
+ 'rejected 12+, above med. att., info treat');
210
+ paramsNo12AMControl = load_parameters('amctrlnocommit');
211
+ gameNo12AMControl = gymGame(props12NoP, paramsNo12AMControl, minC, ...
212
+ 'rejected 12+, above med. att., control');
213
+ paramsNo12BMInfo = load_parameters('bminfonocommit');
214
+ gameNo12BMInfo = gymGame(props12NoP, paramsNo12BMInfo, minC, ...
215
+ 'rejected 12+, below med. att., info treat');
216
+ paramsNo12BMControl = load_parameters('bmctrlnocommit');
217
+ gameNo12BMControl = gymGame(props12NoP, paramsNo12BMControl, minC, ...
218
+ 'rejected 12+, below med. att., control');
219
+ paramsNo8AMInfo = load_parameters('aminfonocommite');
220
+ gameNo8AMInfo = gymGame(props8NoP, paramsNo8AMInfo, minC, ...
221
+ 'rejected 8+, above med. att., info treat');
222
+ paramsNo8AMControl = load_parameters('amctrlnocommite');
223
+ gameNo8AMControl = gymGame(props8NoP, paramsNo8AMControl, minC, ...
224
+ 'rejected 8+, above med. att., control');
225
+ paramsNo8BMInfo = load_parameters('bminfonocommite');
226
+ gameNo8BMInfo = gymGame(props8NoP, paramsNo8BMInfo, minC, ...
227
+ 'rejected 8+, below med. att., info treat');
228
+ paramsNo8BMControl = load_parameters('bmctrlnocommite');
229
+ gameNo8BMControl = gymGame(props8NoP, paramsNo8BMControl, minC, ...
230
+ 'rejected 8+, below med. att., control');
231
+ paramsNo16AMInfo = load_parameters('aminfonocommits');
232
+ gameNo16AMInfo = gymGame(props16NoP, paramsNo16AMInfo, minC, ...
233
+ 'rejected 16+, above med. att., info treat');
234
+ paramsNo16AMControl = load_parameters('amctrlnocommits');
235
+ gameNo16AMControl = gymGame(props16NoP, paramsNo16AMControl, minC, ...
236
+ 'rejected 16+, above med. att., control');
237
+ paramsNo16BMInfo = load_parameters('bminfonocommits');
238
+ gameNo16BMInfo = gymGame(props16NoP, paramsNo16BMInfo, minC, ...
239
+ 'rejected 16+, below med. att., info treat');
240
+ paramsNo16BMControl = load_parameters('bmctrlnocommits');
241
+ gameNo16BMControl = gymGame(props16NoP, paramsNo16BMControl, minC, ...
242
+ 'rejected 16+, below med. att., control');
243
+
244
+ % store share of population that chose each contract
245
+ params8 = load_parameters('commit8');
246
+ mu8 = params8.mu;
247
+ params16 = load_parameters('commit16');
248
+ mu16 = params16.mu;
249
+
250
+
251
+ %% Compare welfare/efficiency outcomes across different contracts/incentives
252
+ % with heterogeneity along past attendance (median) & info treatment
253
+
254
+ % under the 12+ visit contract
255
+ mc = [game12AMInfo game12AMControl game12BMInfo game12BMControl];
256
+ mnc = [gameNo12AMInfo gameNo12AMControl gameNo12BMInfo gameNo12BMControl];
257
+ mcnp = [game12AMInfoNoP game12AMControlNoP game12BMInfoNoP game12BMControlNoP];
258
+ for m = 1:length(mc) % rescale mu's as a share of whole population
259
+ mc(m).mu = mc(m).mu .* mu12;
260
+ mcnp(m).mu = mcnp(m).mu .* mu12;
261
+ mnc(m).mu = mnc(m).mu .* (1 - mu12);
262
+ end
263
+ Results12 = compute_efficiency(mc,mnc,mcnp);
264
+
265
+ % under the 8+ visit contract
266
+ mc = [game8AMInfo game8AMControl game8BMInfo game8BMControl];
267
+ mnc = [gameNo8AMInfo gameNo8AMControl gameNo8BMInfo gameNo8BMControl];
268
+ mcnp = [game8AMInfoNoP game8AMControlNoP game8BMInfoNoP game8BMControlNoP];
269
+ for m = 1:length(mc) % rescale mu's as a share of whole population
270
+ mc(m).mu = mc(m).mu .* mu8;
271
+ mcnp(m).mu = mcnp(m).mu .* mu8;
272
+ mnc(m).mu = mnc(m).mu .* (1 - mu8);
273
+ end
274
+ Results8 = compute_efficiency(mc,mnc,mcnp);
275
+
276
+ % under the 16+ visit contract
277
+ mc = [game16AMInfo game16AMControl game16BMInfo game16BMControl];
278
+ mnc = [gameNo16AMInfo gameNo16AMControl gameNo16BMInfo gameNo16BMControl];
279
+ mcnp = [game16AMInfoNoP game16AMControlNoP game16BMInfoNoP game16BMControlNoP];
280
+ for m = 1:length(mc) % rescale mu's as a share of whole population
281
+ mc(m).mu = mc(m).mu .* mu16;
282
+ mcnp(m).mu = mcnp(m).mu .* mu16;
283
+ mnc(m).mu = mnc(m).mu .* (1 - mu16);
284
+ end
285
+ Results16 = compute_efficiency(mc,mnc,mcnp);
286
+
287
+ % export results
288
+ export_efficiency_results(Results8, Results12, Results16, 'het');
289
+
290
+
291
+ %% Instantiate games for welfare/efficiency comparisons
292
+ % with homogeneity & heterogeneity along past attendance & treatment
293
+
294
+ % add 8+ contract versions (with & without penalty)
295
+ % with homogeneity
296
+ params8 = load_parameters('commit8');
297
+ game8 = gymGame(props8, params8, minC, 'chose 8+ contract');
298
+ game8NoP = gymGame(props8NoP, params8, minC, 'chose 8+ contract, no penalty');
299
+ % with heterogeneity along past attendance (below vs. above median)
300
+ params8AM = load_parameters('amcommite');
301
+ game8AM = gymGame(props8, params8AM, minC, 'chose 8+, above med. att.');
302
+ game8AMNoP = gymGame(props8NoP, params8AM, minC, 'chose 8+, above med. att., no penalty');
303
+ params8BM = load_parameters('bmcommite');
304
+ game8BM = gymGame(props8, params8BM, minC, 'chose 8+, below med. att.');
305
+ game8BMNoP = gymGame(props8NoP, params8BM, minC, 'chose 8+, below med. att., no penalty');
306
+ % add heterogeneity along past attendance (quartiles)
307
+ params8Q1 = load_parameters('qfstcommite');
308
+ game8Q1 = gymGame(props8, params8Q1, minC, 'chose 8+, q1 att.');
309
+ game8Q1NoP = gymGame(props8NoP, params8Q1, minC, 'chose 8+, q1 att., no penalty');
310
+ params8Q2 = load_parameters('qsndcommite');
311
+ game8Q2 = gymGame(props8, params8Q2, minC, 'chose 8+, q2 att.');
312
+ game8Q2NoP = gymGame(props8NoP, params8Q2, minC, 'chose 8+, q2 att., no penalty');
313
+ params8Q3 = load_parameters('qthdcommite');
314
+ game8Q3 = gymGame(props8, params8Q3, minC, 'chose 8+, q3 att.');
315
+ game8Q3NoP = gymGame(props8NoP, params8Q3, minC, 'chose 8+, q3 att., no penalty');
316
+ params8Q4 = load_parameters('qfthcommite');
317
+ game8Q4 = gymGame(props8, params8Q4, minC, 'chose 8+, q4 att.');
318
+ game8Q4NoP = gymGame(props8NoP, params8Q4, minC, 'chose 8+, q4 att., no penalty');
319
+
320
+ % add 16+ contract versions (with & without penalty)
321
+ % with homogeneity
322
+ params16 = load_parameters('commit16');
323
+ game16 = gymGame(props16, params16, minC, 'chose 16+ contract');
324
+ game16NoP = gymGame(props16NoP, params16, minC, 'chose 16+ contract, no penalty');
325
+ % with heterogeneity along past attendance (below vs. above median)
326
+ params16AM = load_parameters('amcommits');
327
+ game16AM = gymGame(props16, params16AM, minC, 'chose 16+, above med. att.');
328
+ game16AMNoP = gymGame(props16NoP, params16AM, minC, 'chose 16+, above med. att., no penalty');
329
+ params16BM = load_parameters('bmcommits');
330
+ game16BM = gymGame(props16, params16BM, minC, 'chose 16+, below med. att.');
331
+ game16BMNoP = gymGame(props16NoP, params16BM, minC, 'chose 16+, below med. att., no penalty');
332
+ % add heterogeneity along past attendance (quartiles)
333
+ params16Q1 = load_parameters('qfstcommits');
334
+ game16Q1 = gymGame(props16, params16Q1, minC, 'chose 16+, q1 att.');
335
+ game16Q1NoP = gymGame(props16NoP, params16Q1, minC, 'chose 16+, q1 att., no penalty');
336
+ params16Q2 = load_parameters('qsndcommits');
337
+ game16Q2 = gymGame(props16, params16Q2, minC, 'chose 16+, q2 att.');
338
+ game16Q2NoP = gymGame(props16NoP, params16Q2, minC, 'chose 16+, q2 att., no penalty');
339
+ params16Q3 = load_parameters('qthdcommits');
340
+ game16Q3 = gymGame(props16, params16Q3, minC, 'chose 16+, q3 att.');
341
+ game16Q3NoP = gymGame(props16NoP, params16Q3, minC, 'chose 16+, q3 att., no penalty');
342
+ params16Q4 = load_parameters('qfthcommits');
343
+ game16Q4 = gymGame(props16, params16Q4, minC, 'chose 16+, q4 att.');
344
+ game16Q4NoP = gymGame(props16NoP, params16Q4, minC, 'chose 16+, q4 att., no penalty');
345
+
346
+ % add versions for those who rejected the commitment contracts
347
+ % 8+ visits contract
348
+ paramsNo8 = load_parameters('nocommit8');
349
+ gameNo8 = gymGame(props8NoP, paramsNo8, minC, 'rejected 8+ contract');
350
+ paramsNo8AM = load_parameters('amnocommite');
351
+ gameNo8AM = gymGame(props8NoP, paramsNo8AM, minC, 'rejected 8+, above med. att.');
352
+ paramsNo8BM = load_parameters('bmnocommite');
353
+ gameNo8BM = gymGame(props8NoP, paramsNo8BM, minC, 'rejected 8+, below med. att.');
354
+ paramsNo8Q1 = load_parameters('qfstnocommite');
355
+ gameNo8Q1 = gymGame(props8NoP, paramsNo8Q1, minC, 'rejected 8+, q1 att.');
356
+ paramsNo8Q2 = load_parameters('qsndnocommite');
357
+ gameNo8Q2 = gymGame(props8NoP, paramsNo8Q2, minC, 'rejected 8+, q2 att.');
358
+ paramsNo8Q3 = load_parameters('qthdnocommite');
359
+ gameNo8Q3 = gymGame(props8NoP, paramsNo8Q3, minC, 'rejected 8+, q3 att.');
360
+ paramsNo8Q4 = load_parameters('qfthnocommite');
361
+ gameNo8Q4 = gymGame(props8NoP, paramsNo8Q4, minC, 'rejected 8+, q4 att.');
362
+ % 12+ visits contract
363
+ paramsNo12 = load_parameters('nocommit12');
364
+ gameNo12 = gymGame(props12NoP, paramsNo12, minC, 'rejected 12+ contract');
365
+ paramsNo12AM = load_parameters('amnocommit');
366
+ gameNo12AM = gymGame(props12NoP, paramsNo12AM, minC, 'rejected 12+, above med. att.');
367
+ paramsNo12BM = load_parameters('bmnocommit');
368
+ gameNo12BM = gymGame(props12NoP, paramsNo12BM, minC, 'rejected 12+, below med. att.');
369
+ paramsNo12Q1 = load_parameters('qfstnocommit');
370
+ gameNo12Q1 = gymGame(props12NoP, paramsNo12Q1, minC, 'rejected 12+, q1 att.');
371
+ paramsNo12Q2 = load_parameters('qsndnocommit');
372
+ gameNo12Q2 = gymGame(props12NoP, paramsNo12Q2, minC, 'rejected 12+, q2 att.');
373
+ paramsNo12Q3 = load_parameters('qthdnocommit');
374
+ gameNo12Q3 = gymGame(props12NoP, paramsNo12Q3, minC, 'rejected 12+, q3 att.');
375
+ paramsNo12Q4 = load_parameters('qfthnocommit');
376
+ gameNo12Q4 = gymGame(props12NoP, paramsNo12Q4, minC, 'rejected 12+, q4 att.');
377
+ % 16+ visits contract
378
+ paramsNo16 = load_parameters('nocommit16');
379
+ gameNo16 = gymGame(props16NoP, paramsNo16, minC, 'rejected 16+ contract');
380
+ paramsNo16AM = load_parameters('amnocommits');
381
+ gameNo16AM = gymGame(props16NoP, paramsNo16AM, minC, 'rejected 16+, above med. att.');
382
+ paramsNo16BM = load_parameters('bmnocommits');
383
+ gameNo16BM = gymGame(props16NoP, paramsNo16BM, minC, 'rejected 16+, below med. att.');
384
+ paramsNo16Q1 = load_parameters('qfstnocommits');
385
+ gameNo16Q1 = gymGame(props16NoP, paramsNo16Q1, minC, 'rejected 16+, q1 att.');
386
+ paramsNo16Q2 = load_parameters('qsndnocommits');
387
+ gameNo16Q2 = gymGame(props16NoP, paramsNo16Q2, minC, 'rejected 16+, q2 att.');
388
+ paramsNo16Q3 = load_parameters('qthdnocommits');
389
+ gameNo16Q3 = gymGame(props16NoP, paramsNo16Q3, minC, 'rejected 16+, q3 att.');
390
+ paramsNo16Q4 = load_parameters('qfthnocommits');
391
+ gameNo16Q4 = gymGame(props16NoP, paramsNo16Q4, minC, 'rejected 16+, q4 att.');
392
+
393
+
394
+ %% Compare welfare/efficiency outcomes across different contracts/incentives
395
+ % with homogeneity & heterogeneity along past attendance & treatment
396
+
397
+ % HOMOGENEITY
398
+ % under the 12+ visit contract
399
+ mc = game12;
400
+ mnc = gameNo12;
401
+ mcnp = game12NoP;
402
+ Results12 = compute_efficiency(mc,mnc,mcnp);
403
+
404
+ % under the 8+ visit contract
405
+ mc = game8;
406
+ mnc = gameNo8;
407
+ mcnp = game8NoP;
408
+ Results8 = compute_efficiency(mc,mnc,mcnp);
409
+
410
+ % under the 16+ visit contract
411
+ mc = game16;
412
+ mnc = gameNo16;
413
+ mcnp = game16NoP;
414
+ Results16 = compute_efficiency(mc,mnc,mcnp);
415
+
416
+ % export results
417
+ export_efficiency_results(Results8, Results12, Results16, 'hom');
418
+
419
+
420
+ % HETEROGENEITY ALONG PAST ATTENDANCE (MEDIAN)
421
+ % under the 12+ visit contract
422
+ mc = [game12AM game12BM];
423
+ mnc = [gameNo12AM gameNo12BM];
424
+ mcnp = [game12AMNoP game12BMNoP];
425
+ for m = 1:length(mc) % rescale mu's as a share of whole population
426
+ mc(m).mu = mc(m).mu .* mu12;
427
+ mcnp(m).mu = mcnp(m).mu .* mu12;
428
+ mnc(m).mu = mnc(m).mu .* (1 - mu12);
429
+ end
430
+ Results12 = compute_efficiency(mc,mnc,mcnp);
431
+
432
+ % under the 8+ visit contract
433
+ mc = [game8AM game8BM];
434
+ mnc = [gameNo8AM gameNo8BM];
435
+ mcnp = [game8AMNoP game8BMNoP];
436
+ for m = 1:length(mc) % rescale mu's as a share of whole population
437
+ mc(m).mu = mc(m).mu .* mu8;
438
+ mcnp(m).mu = mcnp(m).mu .* mu8;
439
+ mnc(m).mu = mnc(m).mu .* (1 - mu8);
440
+ end
441
+ Results8 = compute_efficiency(mc,mnc,mcnp);
442
+
443
+ % under the 16+ visit contract
444
+ mc = [game16AM game16BM];
445
+ mnc = [gameNo16AM gameNo16BM];
446
+ mcnp = [game16AMNoP game16BMNoP];
447
+ for m = 1:length(mc) % rescale mu's as a share of whole population
448
+ mc(m).mu = mc(m).mu .* mu16;
449
+ mcnp(m).mu = mcnp(m).mu .* mu16;
450
+ mnc(m).mu = mnc(m).mu .* (1 - mu16);
451
+ end
452
+ Results16 = compute_efficiency(mc,mnc,mcnp);
453
+
454
+ % export results
455
+ export_efficiency_results(Results8, Results12, Results16, 'med');
456
+
457
+
458
+ % HETEROGENEITY ALONG PAST ATTENDANCE (QUARTILE)
459
+ % under the 12+ visit contract
460
+ mc = [game12Q1 game12Q2 game12Q3 game12Q4];
461
+ mnc = [gameNo12Q1 gameNo12Q2 gameNo12Q3 gameNo12Q4];
462
+ mcnp = [game12Q1NoP game12Q2NoP game12Q3NoP game12Q4NoP];
463
+ for m = 1:length(mc) % rescale mu's as a share of whole population
464
+ mc(m).mu = mc(m).mu .* mu12;
465
+ mcnp(m).mu = mcnp(m).mu .* mu12;
466
+ mnc(m).mu = mnc(m).mu .* (1 - mu12);
467
+ end
468
+ Results12 = compute_efficiency(mc,mnc,mcnp);
469
+
470
+ % under the 8+ visit contract
471
+ mc = [game8Q1 game8Q2 game8Q3 game8Q4];
472
+ mnc = [gameNo8Q1 gameNo8Q2 gameNo8Q3 gameNo8Q4];
473
+ mcnp = [game8Q1NoP game8Q2NoP game8Q3NoP game8Q4NoP];
474
+ for m = 1:length(mc) % rescale mu's as a share of whole population
475
+ mc(m).mu = mc(m).mu .* mu8;
476
+ mcnp(m).mu = mcnp(m).mu .* mu8;
477
+ mnc(m).mu = mnc(m).mu .* (1 - mu8);
478
+ end
479
+ Results8 = compute_efficiency(mc,mnc,mcnp);
480
+
481
+ % under the 16+ visit contract
482
+ mc = [game16Q1 game16Q2 game16Q3 game16Q4];
483
+ mnc = [gameNo16Q1 gameNo16Q2 gameNo16Q3 gameNo16Q4];
484
+ mcnp = [game16Q1NoP game16Q2NoP game16Q3NoP game16Q4NoP];
485
+ for m = 1:length(mc) % rescale mu's as a share of whole population
486
+ mc(m).mu = mc(m).mu .* mu16;
487
+ mcnp(m).mu = mcnp(m).mu .* mu16;
488
+ mnc(m).mu = mnc(m).mu .* (1 - mu16);
489
+ end
490
+ Results16 = compute_efficiency(mc,mnc,mcnp);
491
+
492
+ % export results
493
+ export_efficiency_results(Results8, Results12, Results16, 'qrt');
494
+
495
+
496
+ %% Plot the average probability of attending each day
497
+
498
+ % generate plot for 12+ visit contract
499
+ mc = [game12AMInfo game12AMControl game12BMInfo game12BMControl];
500
+ plot_att_prob(mc,'daily_att_prob_commit12');
501
+
502
+
503
+ %% Results with a minimal cost draw of $10
504
+
505
+ % Set lower bound on support of cost distribution
506
+ minC = 10;
507
+
508
+ % INSTANTIATE GAMES
509
+ % chose 12+ visit contract
510
+ params12 = load_parameters('commit12X');
511
+ game12 = gymGame(props12, params12, minC, 'chose 12+ contract');
512
+
513
+ % add heterogeneity along past attendance (below vs. above median)
514
+ params12AM = load_parameters('amcommitX');
515
+ game12AM = gymGame(props12, params12AM, minC, 'chose 12+, above med. att.');
516
+ params12BM = load_parameters('bmcommitX');
517
+ game12BM = gymGame(props12, params12BM, minC, 'chose 12+, below med. att.');
518
+
519
+ % add heterogeneity along past attendance (quartiles)
520
+ params12Q1 = load_parameters('qfstcommitX');
521
+ game12Q1 = gymGame(props12, params12Q1, minC, 'chose 12+, q1 att.');
522
+ params12Q2 = load_parameters('qsndcommitX');
523
+ game12Q2 = gymGame(props12, params12Q2, minC, 'chose 12+, q2 att.');
524
+ params12Q3 = load_parameters('qthdcommitX');
525
+ game12Q3 = gymGame(props12, params12Q3, minC, 'chose 12+, q3 att.');
526
+ params12Q4 = load_parameters('qfthcommitX');
527
+ game12Q4 = gymGame(props12, params12Q4, minC, 'chose 12+, q4 att.');
528
+
529
+ % add heterogeneity along past attendance (median) & info treatment
530
+ params12AMInfo = load_parameters('aminfocommitX');
531
+ game12AMInfo = gymGame(props12, params12AMInfo, minC, ...
532
+ 'chose 12+, above med. att., info treat');
533
+ params12AMControl = load_parameters('amctrlcommitX');
534
+ game12AMControl = gymGame(props12, params12AMControl, minC, ...
535
+ 'chose 12+, above med. att., control');
536
+ params12BMInfo = load_parameters('bminfocommitX');
537
+ game12BMInfo = gymGame(props12, params12BMInfo, minC, ...
538
+ 'chose 12+, below med. att., info treat');
539
+ params12BMControl = load_parameters('bmctrlcommitX');
540
+ game12BMControl = gymGame(props12, params12BMControl, minC, ...
541
+ 'chose 12+, below med. att., control');
542
+
543
+ % add heterogeneity along past attendance (quartiles) & info treatment
544
+ params12Q1Info = load_parameters('qfstinfocommitX');
545
+ game12Q1Info = gymGame(props12, params12Q1Info, minC, 'chose 12+, q1 att., info treat');
546
+ params12Q1Control = load_parameters('qfstctrlcommitX');
547
+ game12Q1Control = gymGame(props12, params12Q1Control, minC, 'chose 12+, q1 att., control');
548
+ params12Q2Info = load_parameters('qsndinfocommitX');
549
+ game12Q2Info = gymGame(props12, params12Q2Info, minC, 'chose 12+, q2 att., info treat');
550
+ params12Q2Control = load_parameters('qsndctrlcommitX');
551
+ game12Q2Control = gymGame(props12, params12Q2Control, minC, 'chose 12+, q2 att., control');
552
+ params12Q3Info = load_parameters('qthdinfocommitX');
553
+ game12Q3Info = gymGame(props12, params12Q3Info, minC, 'chose 12+, q3 att., info treat');
554
+ params12Q3Control = load_parameters('qthdctrlcommitX');
555
+ game12Q3Control = gymGame(props12, params12Q3Control, minC, 'chose 12+, q3 att., control');
556
+ params12Q4Info = load_parameters('qfthinfocommitX');
557
+ game12Q4Info = gymGame(props12, params12Q4Info, minC, 'chose 12+, q4 att., info treat');
558
+ params12Q4Control = load_parameters('qfthctrlcommitX');
559
+ game12Q4Control = gymGame(props12, params12Q4Control, minC, 'chose 12+, q4 att., control');
560
+
561
+ % add no penalty versions of the above games
562
+ game12NoP = gymGame(props12NoP, params12, minC, 'chose 12+, no penalty');
563
+ game12AMNoP = gymGame(props12NoP, params12AM, minC, 'chose 12+, above med. att., no penalty');
564
+ game12BMNoP = gymGame(props12NoP, params12BM, minC, 'chose 12+, below med. att., no penalty');
565
+ game12Q1NoP = gymGame(props12NoP, params12Q1, minC, 'chose 12+, q1 att., no penalty');
566
+ game12Q2NoP = gymGame(props12NoP, params12Q2, minC, 'chose 12+, q2 att., no penalty');
567
+ game12Q3NoP = gymGame(props12NoP, params12Q3, minC, 'chose 12+, q3 att., no penalty');
568
+ game12Q4NoP = gymGame(props12NoP, params12Q4, minC, 'chose 12+, q4 att., no penalty');
569
+ game12AMInfoNoP = gymGame(props12NoP, params12AMInfo, minC, ...
570
+ 'chose 12+, above med. att., info treat, no penalty');
571
+ game12AMControlNoP = gymGame(props12NoP, params12AMControl, minC, ...
572
+ 'chose 12+, above med. att., control, no penalty');
573
+ game12BMInfoNoP = gymGame(props12NoP, params12BMInfo, minC, ...
574
+ 'chose 12+, below med. att., info treat, no penalty');
575
+ game12BMControlNoP = gymGame(props12NoP, params12BMControl, minC, ...
576
+ 'chose 12+, below med. att., control, no penalty');
577
+ game12Q1InfoNoP = gymGame(props12NoP, params12Q1Info, minC, ...
578
+ 'chose 12+, q1 att., info treat, no penalty');
579
+ game12Q1ControlNoP = gymGame(props12NoP, params12Q1Control, minC, ...
580
+ 'chose 12+, q1 att., control, no penalty');
581
+ game12Q2InfoNoP = gymGame(props12NoP, params12Q2Info, minC, ...
582
+ 'chose 12+, q2 att., info treat, no penalty');
583
+ game12Q2ControlNoP = gymGame(props12NoP, params12Q2Control, minC, ...
584
+ 'chose 12+, q2 att., control, no penalty');
585
+ game12Q3InfoNoP = gymGame(props12NoP, params12Q3Info, minC, ...
586
+ 'chose 12+, q3 att., info treat, no penalty');
587
+ game12Q3ControlNoP = gymGame(props12NoP, params12Q3Control, minC, ...
588
+ 'chose 12+, q3 att., control, no penalty');
589
+ game12Q4InfoNoP = gymGame(props12NoP, params12Q4Info, minC, ...
590
+ 'chose 12+, q4 att., info treat, no penalty');
591
+ game12Q4ControlNoP = gymGame(props12NoP, params12Q4Control, minC, ...
592
+ 'chose 12+, q4 att., control, no penalty');
593
+
594
+ % add 8+ contract versions (with & without penalty)
595
+ params8AMInfo = load_parameters('aminfocommiteX');
596
+ game8AMInfo = gymGame(props8, params8AMInfo, minC, ...
597
+ 'chose 8+, above med. att., info treat');
598
+ game8AMInfoNoP = gymGame(props8NoP, params8AMInfo, minC, ...
599
+ 'chose 8+, above med. att., info treat, no penalty');
600
+ params8AMControl = load_parameters('amctrlcommiteX');
601
+ game8AMControl = gymGame(props8, params8AMControl, minC, ...
602
+ 'chose 8+, above med. att., control');
603
+ game8AMControlNoP = gymGame(props8NoP, params8AMControl, minC, ...
604
+ 'chose 8+, above med. att., control, no penalty');
605
+ params8BMInfo = load_parameters('bminfocommiteX');
606
+ game8BMInfo = gymGame(props8, params8BMInfo, minC, ...
607
+ 'chose 8+, below med. att., info treat');
608
+ game8BMInfoNoP = gymGame(props8NoP, params8BMInfo, minC, ...
609
+ 'chose 8+, below med. att., info treat, no penalty');
610
+ params8BMControl = load_parameters('bmctrlcommiteX');
611
+ game8BMControl = gymGame(props8, params8BMControl, minC, ...
612
+ 'chose 8+, below med. att., control');
613
+ game8BMControlNoP = gymGame(props8NoP, params8BMControl, minC, ...
614
+ 'chose 8+, below med. att., control, no penalty');
615
+
616
+ % add 16+ contract versions (with & without penalty)
617
+ params16AMInfo = load_parameters('aminfocommitsX');
618
+ game16AMInfo = gymGame(props16, params16AMInfo, minC, ...
619
+ 'chose 16+, above med. att., info treat');
620
+ game16AMInfoNoP = gymGame(props16NoP, params16AMInfo, minC, ...
621
+ 'chose 16+, above med. att., info treat, no penalty');
622
+ params16AMControl = load_parameters('amctrlcommitsX');
623
+ game16AMControl = gymGame(props16, params16AMControl, minC, ...
624
+ 'chose 16+, above med. att., control');
625
+ game16AMControlNoP = gymGame(props16NoP, params16AMControl, minC, ...
626
+ 'chose 16+, above med. att., control, no penalty');
627
+ params16BMInfo = load_parameters('bminfocommitsX');
628
+ game16BMInfo = gymGame(props16, params16BMInfo, minC, ...
629
+ 'chose 16+, below med. att., info treat');
630
+ game16BMInfoNoP = gymGame(props16NoP, params16BMInfo, minC, ...
631
+ 'chose 16+, below med. att., info treat, no penalty');
632
+ params16BMControl = load_parameters('bmctrlcommitsX');
633
+ game16BMControl = gymGame(props16, params16BMControl, minC, ...
634
+ 'chose 16+, below med. att., control');
635
+ game16BMControlNoP = gymGame(props16NoP, params16BMControl, minC, ...
636
+ 'chose 16+, below med. att., control, no penalty');
637
+
638
+ % add versions for those who rejected the commitment contracts
639
+ paramsNo12AMInfo = load_parameters('aminfonocommitX');
640
+ gameNo12AMInfo = gymGame(props12NoP, paramsNo12AMInfo, minC, ...
641
+ 'rejected 12+, above med. att., info treat');
642
+ paramsNo12AMControl = load_parameters('amctrlnocommitX');
643
+ gameNo12AMControl = gymGame(props12NoP, paramsNo12AMControl, minC, ...
644
+ 'rejected 12+, above med. att., control');
645
+ paramsNo12BMInfo = load_parameters('bminfonocommitX');
646
+ gameNo12BMInfo = gymGame(props12NoP, paramsNo12BMInfo, minC, ...
647
+ 'rejected 12+, below med. att., info treat');
648
+ paramsNo12BMControl = load_parameters('bmctrlnocommitX');
649
+ gameNo12BMControl = gymGame(props12NoP, paramsNo12BMControl, minC, ...
650
+ 'rejected 12+, below med. att., control');
651
+ paramsNo8AMInfo = load_parameters('aminfonocommiteX');
652
+ gameNo8AMInfo = gymGame(props8NoP, paramsNo8AMInfo, minC, ...
653
+ 'rejected 8+, above med. att., info treat');
654
+ paramsNo8AMControl = load_parameters('amctrlnocommiteX');
655
+ gameNo8AMControl = gymGame(props8NoP, paramsNo8AMControl, minC, ...
656
+ 'rejected 8+, above med. att., control');
657
+ paramsNo8BMInfo = load_parameters('bminfonocommiteX');
658
+ gameNo8BMInfo = gymGame(props8NoP, paramsNo8BMInfo, minC, ...
659
+ 'rejected 8+, below med. att., info treat');
660
+ paramsNo8BMControl = load_parameters('bmctrlnocommiteX');
661
+ gameNo8BMControl = gymGame(props8NoP, paramsNo8BMControl, minC, ...
662
+ 'rejected 8+, below med. att., control');
663
+ paramsNo16AMInfo = load_parameters('aminfonocommitsX');
664
+ gameNo16AMInfo = gymGame(props16NoP, paramsNo16AMInfo, minC, ...
665
+ 'rejected 16+, above med. att., info treat');
666
+ paramsNo16AMControl = load_parameters('amctrlnocommitsX');
667
+ gameNo16AMControl = gymGame(props16NoP, paramsNo16AMControl, minC, ...
668
+ 'rejected 16+, above med. att., control');
669
+ paramsNo16BMInfo = load_parameters('bminfonocommitsX');
670
+ gameNo16BMInfo = gymGame(props16NoP, paramsNo16BMInfo, minC, ...
671
+ 'rejected 16+, below med. att., info treat');
672
+ paramsNo16BMControl = load_parameters('bmctrlnocommitsX');
673
+ gameNo16BMControl = gymGame(props16NoP, paramsNo16BMControl, minC, ...
674
+ 'rejected 16+, below med. att., control');
675
+
676
+
677
+ % store share of population that chose each contract
678
+ params8 = load_parameters('commit8X');
679
+ mu8 = params8.mu;
680
+ params12 = load_parameters('commit12X');
681
+ mu12 = params12.mu;
682
+ params16 = load_parameters('commit16X');
683
+ mu16 = params16.mu;
684
+
685
+
686
+ % GENERATE ATTENDANCE RESULTS
687
+ % chose 12+ visit contract
688
+ mc = game12;
689
+ mc.mu = 1; % homogeneous population
690
+ mcnp = game12NoP;
691
+ mcnp.mu = 1; % homogeneous population
692
+ simulate_attendance(mc,mcnp,'allX')
693
+
694
+ % with hetereogenity along past attendance (above vs. below median)
695
+ mc = [game12AM game12BM];
696
+ mcnp = [game12AMNoP game12BMNoP];
697
+ simulate_attendance(mc,mcnp,'mattX')
698
+
699
+ % with hetereogenity along past attendance (quartile)
700
+ mc = [game12Q1 game12Q2 game12Q3 game12Q4];
701
+ mcnp = [game12Q1NoP game12Q2NoP game12Q3NoP game12Q4NoP];
702
+ simulate_attendance(mc,mcnp,'qattX')
703
+
704
+ % with heterogeneity along past attendance (median) & info treatment
705
+ mc = [game12AMInfo game12AMControl game12BMInfo game12BMControl];
706
+ mcnp = [game12AMInfoNoP game12AMControlNoP game12BMInfoNoP game12BMControlNoP];
707
+ simulate_attendance(mc,mcnp,'mattinfoX')
708
+
709
+ % with heterogeneity along past attendance (quartile) & info treatment
710
+ mc = [game12Q1Info game12Q1Control game12Q2Info game12Q2Control ...
711
+ game12Q3Info game12Q3Control game12Q4Info game12Q4Control];
712
+ mcnp = [game12Q1InfoNoP game12Q1ControlNoP game12Q2InfoNoP game12Q2ControlNoP ...
713
+ game12Q3InfoNoP game12Q3ControlNoP game12Q4InfoNoP game12Q4ControlNoP];
714
+ simulate_attendance(mc,mcnp,'qattinfoX')
715
+
716
+
717
+ % GENERATE WELFARE/EFFICIENCY RESULTS
718
+ % under the 12+ visit contract
719
+ mc = [game12AMInfo game12AMControl game12BMInfo game12BMControl];
720
+ mnc = [gameNo12AMInfo gameNo12AMControl gameNo12BMInfo gameNo12BMControl];
721
+ mcnp = [game12AMInfoNoP game12AMControlNoP game12BMInfoNoP game12BMControlNoP];
722
+ for m = 1:length(mc) % rescale mu's as a share of whole population
723
+ mc(m).mu = mc(m).mu .* mu12;
724
+ mcnp(m).mu = mcnp(m).mu .* mu12;
725
+ mnc(m).mu = mnc(m).mu .* (1 - mu12);
726
+ end
727
+ Results12 = compute_efficiency(mc,mnc,mcnp);
728
+
729
+ % under the 8+ visit contract
730
+ mc = [game8AMInfo game8AMControl game8BMInfo game8BMControl];
731
+ mnc = [gameNo8AMInfo gameNo8AMControl gameNo8BMInfo gameNo8BMControl];
732
+ mcnp = [game8AMInfoNoP game8AMControlNoP game8BMInfoNoP game8BMControlNoP];
733
+ for m = 1:length(mc) % rescale mu's as a share of whole population
734
+ mc(m).mu = mc(m).mu .* mu8;
735
+ mcnp(m).mu = mcnp(m).mu .* mu8;
736
+ mnc(m).mu = mnc(m).mu .* (1 - mu8);
737
+ end
738
+ Results8 = compute_efficiency(mc,mnc,mcnp);
739
+
740
+ % under the 16+ visit contract
741
+ mc = [game16AMInfo game16AMControl game16BMInfo game16BMControl];
742
+ mnc = [gameNo16AMInfo gameNo16AMControl gameNo16BMInfo gameNo16BMControl];
743
+ mcnp = [game16AMInfoNoP game16AMControlNoP game16BMInfoNoP game16BMControlNoP];
744
+ for m = 1:length(mc) % rescale mu's as a share of whole population
745
+ mc(m).mu = mc(m).mu .* mu16;
746
+ mcnp(m).mu = mcnp(m).mu .* mu16;
747
+ mnc(m).mu = mnc(m).mu .* (1 - mu16);
748
+ end
749
+ Results16 = compute_efficiency(mc,mnc,mcnp);
750
+
751
+ % export results
752
+ export_efficiency_results(Results8, Results12, Results16, 'hetX');
753
+
754
+
755
+ %% Results with a minimal cost draw of -$5
756
+
757
+ % Set lower bound on support of cost distribution
758
+ minC = -5;
759
+
760
+ % INSTANTIATE GAMES
761
+ % chose 12+ visit contract
762
+ params12 = load_parameters('commit12V');
763
+ game12 = gymGame(props12, params12, minC, 'chose 12+ contract');
764
+
765
+ % add heterogeneity along past attendance (below vs. above median)
766
+ params12AM = load_parameters('amcommitV');
767
+ game12AM = gymGame(props12, params12AM, minC, 'chose 12+, above med. att.');
768
+ params12BM = load_parameters('bmcommitV');
769
+ game12BM = gymGame(props12, params12BM, minC, 'chose 12+, below med. att.');
770
+
771
+ % add heterogeneity along past attendance (quartiles)
772
+ params12Q1 = load_parameters('qfstcommitV');
773
+ game12Q1 = gymGame(props12, params12Q1, minC, 'chose 12+, q1 att.');
774
+ params12Q2 = load_parameters('qsndcommitV');
775
+ game12Q2 = gymGame(props12, params12Q2, minC, 'chose 12+, q2 att.');
776
+ params12Q3 = load_parameters('qthdcommitV');
777
+ game12Q3 = gymGame(props12, params12Q3, minC, 'chose 12+, q3 att.');
778
+ params12Q4 = load_parameters('qfthcommitV');
779
+ game12Q4 = gymGame(props12, params12Q4, minC, 'chose 12+, q4 att.');
780
+
781
+ % add heterogeneity along past attendance (median) & info treatment
782
+ params12AMInfo = load_parameters('aminfocommitV');
783
+ game12AMInfo = gymGame(props12, params12AMInfo, minC, ...
784
+ 'chose 12+, above med. att., info treat');
785
+ params12AMControl = load_parameters('amctrlcommitV');
786
+ game12AMControl = gymGame(props12, params12AMControl, minC, ...
787
+ 'chose 12+, above med. att., control');
788
+ params12BMInfo = load_parameters('bminfocommitV');
789
+ game12BMInfo = gymGame(props12, params12BMInfo, minC, ...
790
+ 'chose 12+, below med. att., info treat');
791
+ params12BMControl = load_parameters('bmctrlcommitV');
792
+ game12BMControl = gymGame(props12, params12BMControl, minC, ...
793
+ 'chose 12+, below med. att., control');
794
+
795
+ % add heterogeneity along past attendance (quartiles) & info treatment
796
+ params12Q1Info = load_parameters('qfstinfocommitV');
797
+ game12Q1Info = gymGame(props12, params12Q1Info, minC, 'chose 12+, q1 att., info treat');
798
+ params12Q1Control = load_parameters('qfstctrlcommitV');
799
+ game12Q1Control = gymGame(props12, params12Q1Control, minC, 'chose 12+, q1 att., control');
800
+ params12Q2Info = load_parameters('qsndinfocommitV');
801
+ game12Q2Info = gymGame(props12, params12Q2Info, minC, 'chose 12+, q2 att., info treat');
802
+ params12Q2Control = load_parameters('qsndctrlcommitV');
803
+ game12Q2Control = gymGame(props12, params12Q2Control, minC, 'chose 12+, q2 att., control');
804
+ params12Q3Info = load_parameters('qthdinfocommitV');
805
+ game12Q3Info = gymGame(props12, params12Q3Info, minC, 'chose 12+, q3 att., info treat');
806
+ params12Q3Control = load_parameters('qthdctrlcommitV');
807
+ game12Q3Control = gymGame(props12, params12Q3Control, minC, 'chose 12+, q3 att., control');
808
+ params12Q4Info = load_parameters('qfthinfocommitV');
809
+ game12Q4Info = gymGame(props12, params12Q4Info, minC, 'chose 12+, q4 att., info treat');
810
+ params12Q4Control = load_parameters('qfthctrlcommitV');
811
+ game12Q4Control = gymGame(props12, params12Q4Control, minC, 'chose 12+, q4 att., control');
812
+
813
+ % add no penalty versions of the above games
814
+ game12NoP = gymGame(props12NoP, params12, minC, 'chose 12+, no penalty');
815
+ game12AMNoP = gymGame(props12NoP, params12AM, minC, 'chose 12+, above med. att., no penalty');
816
+ game12BMNoP = gymGame(props12NoP, params12BM, minC, 'chose 12+, below med. att., no penalty');
817
+ game12Q1NoP = gymGame(props12NoP, params12Q1, minC, 'chose 12+, q1 att., no penalty');
818
+ game12Q2NoP = gymGame(props12NoP, params12Q2, minC, 'chose 12+, q2 att., no penalty');
819
+ game12Q3NoP = gymGame(props12NoP, params12Q3, minC, 'chose 12+, q3 att., no penalty');
820
+ game12Q4NoP = gymGame(props12NoP, params12Q4, minC, 'chose 12+, q4 att., no penalty');
821
+ game12AMInfoNoP = gymGame(props12NoP, params12AMInfo, minC, ...
822
+ 'chose 12+, above med. att., info treat, no penalty');
823
+ game12AMControlNoP = gymGame(props12NoP, params12AMControl, minC, ...
824
+ 'chose 12+, above med. att., control, no penalty');
825
+ game12BMInfoNoP = gymGame(props12NoP, params12BMInfo, minC, ...
826
+ 'chose 12+, below med. att., info treat, no penalty');
827
+ game12BMControlNoP = gymGame(props12NoP, params12BMControl, minC, ...
828
+ 'chose 12+, below med. att., control, no penalty');
829
+ game12Q1InfoNoP = gymGame(props12NoP, params12Q1Info, minC, ...
830
+ 'chose 12+, q1 att., info treat, no penalty');
831
+ game12Q1ControlNoP = gymGame(props12NoP, params12Q1Control, minC, ...
832
+ 'chose 12+, q1 att., control, no penalty');
833
+ game12Q2InfoNoP = gymGame(props12NoP, params12Q2Info, minC, ...
834
+ 'chose 12+, q2 att., info treat, no penalty');
835
+ game12Q2ControlNoP = gymGame(props12NoP, params12Q2Control, minC, ...
836
+ 'chose 12+, q2 att., control, no penalty');
837
+ game12Q3InfoNoP = gymGame(props12NoP, params12Q3Info, minC, ...
838
+ 'chose 12+, q3 att., info treat, no penalty');
839
+ game12Q3ControlNoP = gymGame(props12NoP, params12Q3Control, minC, ...
840
+ 'chose 12+, q3 att., control, no penalty');
841
+ game12Q4InfoNoP = gymGame(props12NoP, params12Q4Info, minC, ...
842
+ 'chose 12+, q4 att., info treat, no penalty');
843
+ game12Q4ControlNoP = gymGame(props12NoP, params12Q4Control, minC, ...
844
+ 'chose 12+, q4 att., control, no penalty');
845
+
846
+ % add 8+ contract versions (with & without penalty)
847
+ params8AMInfo = load_parameters('aminfocommiteV');
848
+ game8AMInfo = gymGame(props8, params8AMInfo, minC, ...
849
+ 'chose 8+, above med. att., info treat');
850
+ game8AMInfoNoP = gymGame(props8NoP, params8AMInfo, minC, ...
851
+ 'chose 8+, above med. att., info treat, no penalty');
852
+ params8AMControl = load_parameters('amctrlcommiteV');
853
+ game8AMControl = gymGame(props8, params8AMControl, minC, ...
854
+ 'chose 8+, above med. att., control');
855
+ game8AMControlNoP = gymGame(props8NoP, params8AMControl, minC, ...
856
+ 'chose 8+, above med. att., control, no penalty');
857
+ params8BMInfo = load_parameters('bminfocommiteV');
858
+ game8BMInfo = gymGame(props8, params8BMInfo, minC, ...
859
+ 'chose 8+, below med. att., info treat');
860
+ game8BMInfoNoP = gymGame(props8NoP, params8BMInfo, minC, ...
861
+ 'chose 8+, below med. att., info treat, no penalty');
862
+ params8BMControl = load_parameters('bmctrlcommiteV');
863
+ game8BMControl = gymGame(props8, params8BMControl, minC, ...
864
+ 'chose 8+, below med. att., control');
865
+ game8BMControlNoP = gymGame(props8NoP, params8BMControl, minC, ...
866
+ 'chose 8+, below med. att., control, no penalty');
867
+
868
+ % add 16+ contract versions (with & without penalty)
869
+ params16AMInfo = load_parameters('aminfocommitsV');
870
+ game16AMInfo = gymGame(props16, params16AMInfo, minC, ...
871
+ 'chose 16+, above med. att., info treat');
872
+ game16AMInfoNoP = gymGame(props16NoP, params16AMInfo, minC, ...
873
+ 'chose 16+, above med. att., info treat, no penalty');
874
+ params16AMControl = load_parameters('amctrlcommitsV');
875
+ game16AMControl = gymGame(props16, params16AMControl, minC, ...
876
+ 'chose 16+, above med. att., control');
877
+ game16AMControlNoP = gymGame(props16NoP, params16AMControl, minC, ...
878
+ 'chose 16+, above med. att., control, no penalty');
879
+ params16BMInfo = load_parameters('bminfocommitsV');
880
+ game16BMInfo = gymGame(props16, params16BMInfo, minC, ...
881
+ 'chose 16+, below med. att., info treat');
882
+ game16BMInfoNoP = gymGame(props16NoP, params16BMInfo, minC, ...
883
+ 'chose 16+, below med. att., info treat, no penalty');
884
+ params16BMControl = load_parameters('bmctrlcommitsV');
885
+ game16BMControl = gymGame(props16, params16BMControl, minC, ...
886
+ 'chose 16+, below med. att., control');
887
+ game16BMControlNoP = gymGame(props16NoP, params16BMControl, minC, ...
888
+ 'chose 16+, below med. att., control, no penalty');
889
+
890
+ % add versions for those who rejected the commitment contracts
891
+ paramsNo12AMInfo = load_parameters('aminfonocommitV');
892
+ gameNo12AMInfo = gymGame(props12NoP, paramsNo12AMInfo, minC, ...
893
+ 'rejected 12+, above med. att., info treat');
894
+ paramsNo12AMControl = load_parameters('amctrlnocommitV');
895
+ gameNo12AMControl = gymGame(props12NoP, paramsNo12AMControl, minC, ...
896
+ 'rejected 12+, above med. att., control');
897
+ paramsNo12BMInfo = load_parameters('bminfonocommitV');
898
+ gameNo12BMInfo = gymGame(props12NoP, paramsNo12BMInfo, minC, ...
899
+ 'rejected 12+, below med. att., info treat');
900
+ paramsNo12BMControl = load_parameters('bmctrlnocommitV');
901
+ gameNo12BMControl = gymGame(props12NoP, paramsNo12BMControl, minC, ...
902
+ 'rejected 12+, below med. att., control');
903
+ paramsNo8AMInfo = load_parameters('aminfonocommiteV');
904
+ gameNo8AMInfo = gymGame(props8NoP, paramsNo8AMInfo, minC, ...
905
+ 'rejected 8+, above med. att., info treat');
906
+ paramsNo8AMControl = load_parameters('amctrlnocommiteV');
907
+ gameNo8AMControl = gymGame(props8NoP, paramsNo8AMControl, minC, ...
908
+ 'rejected 8+, above med. att., control');
909
+ paramsNo8BMInfo = load_parameters('bminfonocommiteV');
910
+ gameNo8BMInfo = gymGame(props8NoP, paramsNo8BMInfo, minC, ...
911
+ 'rejected 8+, below med. att., info treat');
912
+ paramsNo8BMControl = load_parameters('bmctrlnocommiteV');
913
+ gameNo8BMControl = gymGame(props8NoP, paramsNo8BMControl, minC, ...
914
+ 'rejected 8+, below med. att., control');
915
+ paramsNo16AMInfo = load_parameters('aminfonocommitsV');
916
+ gameNo16AMInfo = gymGame(props16NoP, paramsNo16AMInfo, minC, ...
917
+ 'rejected 16+, above med. att., info treat');
918
+ paramsNo16AMControl = load_parameters('amctrlnocommitsV');
919
+ gameNo16AMControl = gymGame(props16NoP, paramsNo16AMControl, minC, ...
920
+ 'rejected 16+, above med. att., control');
921
+ paramsNo16BMInfo = load_parameters('bminfonocommitsV');
922
+ gameNo16BMInfo = gymGame(props16NoP, paramsNo16BMInfo, minC, ...
923
+ 'rejected 16+, below med. att., info treat');
924
+ paramsNo16BMControl = load_parameters('bmctrlnocommitsV');
925
+ gameNo16BMControl = gymGame(props16NoP, paramsNo16BMControl, minC, ...
926
+ 'rejected 16+, below med. att., control');
927
+
928
+
929
+ % store share of population that chose each contract
930
+ params8 = load_parameters('commit8V');
931
+ mu8 = params8.mu;
932
+ params12 = load_parameters('commit12V');
933
+ mu12 = params12.mu;
934
+ params16 = load_parameters('commit16V');
935
+ mu16 = params16.mu;
936
+
937
+
938
+ % GENERATE ATTENDANCE RESULTS
939
+ % chose 12+ visit contract
940
+ mc = game12;
941
+ mc.mu = 1; % homogeneous population
942
+ mcnp = game12NoP;
943
+ mcnp.mu = 1; % homogeneous population
944
+ simulate_attendance(mc,mcnp,'allV')
945
+
946
+ % with hetereogenity along past attendance (above vs. below median)
947
+ mc = [game12AM game12BM];
948
+ mcnp = [game12AMNoP game12BMNoP];
949
+ simulate_attendance(mc,mcnp,'mattV')
950
+
951
+ % with hetereogenity along past attendance (quartile)
952
+ mc = [game12Q1 game12Q2 game12Q3 game12Q4];
953
+ mcnp = [game12Q1NoP game12Q2NoP game12Q3NoP game12Q4NoP];
954
+ simulate_attendance(mc,mcnp,'qattV')
955
+
956
+ % with heterogeneity along past attendance (median) & info treatment
957
+ mc = [game12AMInfo game12AMControl game12BMInfo game12BMControl];
958
+ mcnp = [game12AMInfoNoP game12AMControlNoP game12BMInfoNoP game12BMControlNoP];
959
+ simulate_attendance(mc,mcnp,'mattinfoV')
960
+
961
+ % with heterogeneity along past attendance (quartile) & info treatment
962
+ mc = [game12Q1Info game12Q1Control game12Q2Info game12Q2Control ...
963
+ game12Q3Info game12Q3Control game12Q4Info game12Q4Control];
964
+ mcnp = [game12Q1InfoNoP game12Q1ControlNoP game12Q2InfoNoP game12Q2ControlNoP ...
965
+ game12Q3InfoNoP game12Q3ControlNoP game12Q4InfoNoP game12Q4ControlNoP];
966
+ simulate_attendance(mc,mcnp,'qattinfoV')
967
+
968
+
969
+ % GENERATE WELFARE/EFFICIENCY RESULTS
970
+ % under the 12+ visit contract
971
+ mc = [game12AMInfo game12AMControl game12BMInfo game12BMControl];
972
+ mnc = [gameNo12AMInfo gameNo12AMControl gameNo12BMInfo gameNo12BMControl];
973
+ mcnp = [game12AMInfoNoP game12AMControlNoP game12BMInfoNoP game12BMControlNoP];
974
+ for m = 1:length(mc) % rescale mu's as a share of whole population
975
+ mc(m).mu = mc(m).mu .* mu12;
976
+ mcnp(m).mu = mcnp(m).mu .* mu12;
977
+ mnc(m).mu = mnc(m).mu .* (1 - mu12);
978
+ end
979
+ Results12 = compute_efficiency(mc,mnc,mcnp);
980
+
981
+ % under the 8+ visit contract
982
+ mc = [game8AMInfo game8AMControl game8BMInfo game8BMControl];
983
+ mnc = [gameNo8AMInfo gameNo8AMControl gameNo8BMInfo gameNo8BMControl];
984
+ mcnp = [game8AMInfoNoP game8AMControlNoP game8BMInfoNoP game8BMControlNoP];
985
+ for m = 1:length(mc) % rescale mu's as a share of whole population
986
+ mc(m).mu = mc(m).mu .* mu8;
987
+ mcnp(m).mu = mcnp(m).mu .* mu8;
988
+ mnc(m).mu = mnc(m).mu .* (1 - mu8);
989
+ end
990
+ Results8 = compute_efficiency(mc,mnc,mcnp);
991
+
992
+ % under the 16+ visit contract
993
+ mc = [game16AMInfo game16AMControl game16BMInfo game16BMControl];
994
+ mnc = [gameNo16AMInfo gameNo16AMControl gameNo16BMInfo gameNo16BMControl];
995
+ mcnp = [game16AMInfoNoP game16AMControlNoP game16BMInfoNoP game16BMControlNoP];
996
+ for m = 1:length(mc) % rescale mu's as a share of whole population
997
+ mc(m).mu = mc(m).mu .* mu16;
998
+ mcnp(m).mu = mcnp(m).mu .* mu16;
999
+ mnc(m).mu = mnc(m).mu .* (1 - mu16);
1000
+ end
1001
+ Results16 = compute_efficiency(mc,mnc,mcnp);
1002
+
1003
+ % export results
1004
+ export_efficiency_results(Results8, Results12, Results16, 'hetV');
1005
+
1006
+
1007
+ %% Helper functions
1008
+
1009
+ function parameters = load_parameters(title)
1010
+ % reads in parameters estimated in Stata
1011
+
1012
+ file = strcat(OUTPUT,'/parameter_estimates/',title,'.csv');
1013
+
1014
+ % read file into vector
1015
+ P = readmatrix(file);
1016
+
1017
+ % set parameter values from vector
1018
+ parameters.lambda = P(1);
1019
+ parameters.beta = P(2);
1020
+ parameters.betatilde = P(3);
1021
+ parameters.b = P(4);
1022
+ parameters.mu = P(5);
1023
+
1024
+ end
1025
+
1026
+ function simulate_attendance(commit_models, no_p_commit_models, name)
1027
+ % simulate attendance with & without the commitment contract
1028
+
1029
+ % average change in attendance
1030
+ DaC = 0;
1031
+ for i = 1:length(commit_models)
1032
+
1033
+ DaC = DaC + commit_models(i).mu .* (commit_models(i).avg_att - ...
1034
+ no_p_commit_models(i).avg_att);
1035
+
1036
+ end
1037
+
1038
+ % average probabilities of success with & without the contract
1039
+ prob_c = 0;
1040
+ prob_nop = 0;
1041
+ for i = 1:length(commit_models)
1042
+
1043
+ prob_c = prob_c + commit_models(i).mu .* ...
1044
+ commit_models(i).prob_success;
1045
+
1046
+ prob_nop = prob_nop + no_p_commit_models(i).mu .* ...
1047
+ no_p_commit_models(i).prob_success;
1048
+
1049
+ end
1050
+ prob_diff = prob_c - prob_nop;
1051
+
1052
+ % export results
1053
+ latex_command(strcat('DaC',name),DaC,'%1.2f');
1054
+ latex_command(strcat('probc',name),prob_c,'%1.2f');
1055
+ latex_command(strcat('probnop',name),prob_nop,'%1.2f');
1056
+ latex_command(strcat('Dprob',name),prob_diff,'%1.2f');
1057
+
1058
+ end
1059
+
1060
+ function export_efficiency_results(results8, results12, results16, name)
1061
+ % exports welfare/efficiency outcomes
1062
+
1063
+ % for the optimal piece-rate incentive (12+ visit contract)
1064
+ latex_command(strcat('Ropt',name),results12.r_opt,'currency');
1065
+ latex_command(strcat('DaRopt',name),results12.delta_att_r_opt,'%3.2f');
1066
+ latex_command(strcat('DsurplusRopt',name),results12.delta_surplus_r_opt,'currency');
1067
+ latex_command(strcat('DbenefitsRopt',name),results12.delta_benefits_r_opt,'currency');
1068
+ latex_command(strcat('DcostsRopt',name),results12.delta_costs_r_opt,'currency');
1069
+ latex_command(strcat('DeffRopt',name),results12.U_E_r_opt,'currency');
1070
+
1071
+ % for the 12+ visit contract
1072
+ latex_command(strcat('DaCT',name),results12.avg_delta_a_C,'%3.2f');
1073
+ latex_command(strcat('DcommitsurplusCT',name),results12.commit_delta_surplus,'currency');
1074
+ latex_command(strcat('DsurplusCT',name),results12.avg_delta_surplus,'currency');
1075
+ latex_command(strcat('DbenefitsCT',name),results12.avg_delta_benefits,'currency');
1076
+ latex_command(strcat('DcostsCT',name),results12.avg_delta_costs,'currency');
1077
+ latex_command(strcat('DeffCT',name),results12.V_E,'currency');
1078
+
1079
+ % for the attendance-equivalent incentive (12+ visit contract)
1080
+ latex_command(strcat('RattT',name),results12.r_att,'currency');
1081
+ latex_command(strcat('DaRattT',name),results12.delta_att_r_att,'%3.2f');
1082
+ latex_command(strcat('DsurplusRattT',name),results12.delta_surplus_r_att,'currency');
1083
+ latex_command(strcat('DbenefitsRattT',name),results12.delta_benefits_r_att,'currency');
1084
+ latex_command(strcat('DcostsRattT',name),results12.delta_costs_r_att,'currency');
1085
+ latex_command(strcat('DeffRattT',name),results12.U_E_r_att,'currency');
1086
+
1087
+ % for the 8+ visit contract
1088
+ latex_command(strcat('DaCE',name),results8.avg_delta_a_C,'%3.2f');
1089
+ latex_command(strcat('DcommitsurplusCE',name),results8.commit_delta_surplus,'currency');
1090
+ latex_command(strcat('DsurplusCE',name),results8.avg_delta_surplus,'currency');
1091
+ latex_command(strcat('DbenefitsCE',name),results8.avg_delta_benefits,'currency');
1092
+ latex_command(strcat('DcostsCE',name),results8.avg_delta_costs,'currency');
1093
+ latex_command(strcat('DeffCE',name),results8.V_E,'currency');
1094
+
1095
+ % for the attendance-equivalent incentive (8+ visit contract)
1096
+ latex_command(strcat('RattE',name),results8.r_att,'currency');
1097
+ latex_command(strcat('DaRattE',name),results8.delta_att_r_att,'%3.2f');
1098
+ latex_command(strcat('DsurplusRattE',name),results8.delta_surplus_r_att,'currency');
1099
+ latex_command(strcat('DbenefitsRattE',name),results8.delta_benefits_r_att,'currency');
1100
+ latex_command(strcat('DcostsRattE',name),results8.delta_costs_r_att,'currency');
1101
+ latex_command(strcat('DeffRattE',name),results8.U_E_r_att,'currency');
1102
+
1103
+ % for the 16+ visit contract
1104
+ latex_command(strcat('DaCS',name),results16.avg_delta_a_C,'%3.2f');
1105
+ latex_command(strcat('DcommitsurplusCS',name),results16.commit_delta_surplus,'currency');
1106
+ latex_command(strcat('DsurplusCS',name),results16.avg_delta_surplus,'currency');
1107
+ latex_command(strcat('DbenefitsCS',name),results16.avg_delta_benefits,'currency');
1108
+ latex_command(strcat('DcostsCS',name),results16.avg_delta_costs,'currency');
1109
+ latex_command(strcat('DeffCS',name),results16.V_E,'currency');
1110
+
1111
+ % for the attendance-equivalent incentive (16+ visit contract)
1112
+ latex_command(strcat('RattS',name),results16.r_att,'currency');
1113
+ latex_command(strcat('DaRattS',name),results16.delta_att_r_att,'%3.2f');
1114
+ latex_command(strcat('DsurplusRattS',name),results16.delta_surplus_r_att,'currency');
1115
+ latex_command(strcat('DbenefitsRattS',name),results16.delta_benefits_r_att,'currency');
1116
+ latex_command(strcat('DcostsRattS',name),results16.delta_costs_r_att,'currency');
1117
+ latex_command(strcat('DeffRattS',name),results16.U_E_r_att,'currency');
1118
+
1119
+ end
1120
+
1121
+ function plot_att_prob(commit_models, name)
1122
+ % plot the average probability of attending each day
1123
+
1124
+ % contract threshold
1125
+ a_star = commit_models(1).a_star;
1126
+
1127
+ % average probability for each day over all naive groups
1128
+ probs = zeros(commit_models(1).T,1);
1129
+ for i = 1:length(probs)
1130
+
1131
+ p = 0;
1132
+ for j = 1:length(commit_models)
1133
+
1134
+ p = p + commit_models(j).mu .* ...
1135
+ commit_models(j).prob_att_day(i);
1136
+
1137
+ end
1138
+ probs(i) = p;
1139
+
1140
+ end
1141
+
1142
+ % average probability without the contract or present bias
1143
+ noc_prob = 0;
1144
+ noc_nopb_prob = 0;
1145
+ for j = 1:length(commit_models)
1146
+
1147
+ noc_prob = noc_prob + commit_models(j).mu .* ...
1148
+ commit_models(j).F(commit_models(j).beta .* commit_models(j).b);
1149
+
1150
+ noc_nopb_prob = noc_nopb_prob + commit_models(j).mu .* ...
1151
+ commit_models(j).F(commit_models(j).b);
1152
+
1153
+ end
1154
+
1155
+ plot(repmat(noc_prob,length(probs),1),'LineStyle','--', ...
1156
+ 'Color','#D95319');
1157
+ hold on
1158
+ plot(probs,'LineStyle','-','Color','#0072BD');
1159
+ hold on
1160
+ plot(repmat(noc_nopb_prob,length(probs),1),'LineStyle','-.', ...
1161
+ 'Color','#EDB120');
1162
+ xticks(linspace(0,28,15));
1163
+ xlim([0 28])
1164
+ ylim([0 1]);
1165
+ xlabel('Day');
1166
+ label2 = "With " + num2str(a_star) + "+ visits contract";
1167
+ ylabel('Probability of going to the gym');
1168
+ legend({'Baseline',label2, 'First best'}, ...
1169
+ 'location','northwest');
1170
+ set(gcf,'color','w');
1171
+ fpath = [OUTPUT '/' name '.pdf'];
1172
+ fig = gcf;
1173
+ fig.PaperPositionMode = 'auto';
1174
+ fig_pos = fig.PaperPosition;
1175
+ fig.PaperSize = [fig_pos(3) fig_pos(4)];
1176
+ print(fig,fpath,'-dpdf');
1177
+ close;
1178
+
1179
+ end
1180
+
1181
+ function latex_command(name, value, format)
1182
+ % outputs figures to a tex file
1183
+
1184
+ if strcmp(format, 'currency')
1185
+ curr = java.util.Locale.CANADA; % preserves negative sign
1186
+ j = java.text.NumberFormat.getCurrencyInstance(curr); % format
1187
+ value = char(j.format(value));
1188
+ value = strrep(value,'$','\$');
1189
+ else
1190
+ value = compose(format, value);
1191
+ end
1192
+
1193
+ if ismac
1194
+ input = strcat('\\\newcommand{\\',name,'}{',value,'}');
1195
+ else
1196
+ input = strcat('\\newcommand{\',name,'}{',value,'}');
1197
+ end
1198
+
1199
+ file = [OUTPUT '/simulations.tex'];
1200
+ command = strcat('echo ',input,' >> ',file);
1201
+ system(char(command));
1202
+
1203
+ end
1204
+
1205
+ end
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+ note = {Working Paper: GSPP13-002},
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+ title = {Naivet{\'e}, Projection Bias, and Habit Formation in Gym Attendance},
243
+ year = {2012},
244
+ Bdsk-File-1 = {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}}
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+
246
+ @unpublished{SkibaTobacman2018,
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+ author = {Paige Marta Skiba and Jeremy Tobacman},
248
+ date-added = {2020-08-19 20:49:49 +0000},
249
+ date-modified = {2020-09-08 11:26:15 -0600},
250
+ note = {Working Paper},
251
+ title = {Payday Loans, Uncertainty, and Discounting: Explaining Patterns of Borrowing, Repayment, and Default},
252
+ year = {2018}}
253
+
254
+ @unpublished{Chaloupka2019,
255
+ author = {Chaloupka, Frank J. and Matthew R. Levy and White, Justin S.},
256
+ date-added = {2020-08-19 20:49:17 +0000},
257
+ date-modified = {2020-09-08 11:58:29 -0600},
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+ note = {NBER Working Paper 26522},
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+ title = {Estimating Biases in Smoking Cessation: Evidence from a Field Experiment},
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+ year = {2019}}
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+
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+ @article{moser2019,
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+ author = {Christian Moser and Pedro Olea de Souza e Silva},
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+ date-added = {2019-11-22 19:22:23 +0000},
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+ date-modified = {2019-11-22 19:23:03 +0000},
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+ journal = {working paper},
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+ title = {Optimal Paternalistic Savings Policies},
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+ year = {2019}}
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+
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+ @article{beshears2017,
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+ author = {John Beshears and James Choi and Chirstopher Clayton and Christopher Harris and David Laibson and Brigitte Madrian},
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+ date-modified = {2019-11-22 19:21:09 +0000},
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+ journal = {working paper},
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+ title = {Optimal Illuquidity},
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+ year = {2019}}
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+
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+ @article{lizzeri2017,
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+ year = {2017}}
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+ pages = {1711-1737},
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+
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+ date-modified = {2019-11-07 18:02:54 -0500},
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+ journal = {Journal of Economic Behavior and Organization},
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+ pages = {111--122},
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+ title = {Patience, self-control and the demand for commitment: Evidence from a large-scale field experiment},
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+ volume = {115},
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+ year = {2015}}
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+
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+ pages = {90--109},
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+ volume = {158},
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+ year = {2019}}
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+
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+ title = {Loose Knots: Strong Versus Weak Commitments to Save for Education in Uganda},
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+ year = {2017}}
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+ pages = {329--344},
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+ rating = {5},
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+ volume = {107},
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+ year = {2018}}
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+
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+ date-modified = {2021-07-25 15:57:32 -0600},
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+
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+ date-modified = {2021-07-25 13:46:59 -0600},
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+ note = {Unpublished},
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+ title = {Demand for a Commitment Device in Online Gaming},
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+ year = {2011}}
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+
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+ @article{casaburi2019,
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+ date-modified = {2019-11-07 17:03:50 -0500},
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+ number = {2},
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+ pages = {523--55},
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+ title = {Demand and Supply of Infrequent Payments as a Commitment Device: Evidence from Kenya},
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+ volume = {109},
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+ year = {2019}}
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+
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+ @article{brune2016,
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+ journal = {Economic Development and Cultural Change},
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+ number = {2},
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+ pages = {187--220},
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+ publisher = {University of Chicago Press Chicago, IL},
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+ title = {Facilitating Savings for Agriculture: Field Experimental Evidence from Malawi},
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+ volume = {64},
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+ year = {2016}}
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+
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+ title = {Pay Me Later: A Simple Employer-Based Saving Scheme},
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+ year = {Forthcoming}}
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+
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+ @article{bonein2015,
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+ pages = {543--568},
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+ publisher = {Springer},
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+ title = {Self-Control, Commitment and Peer Pressure: A Laboratory Experiment},
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+ year = {2015}}
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+
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+ author = {Bhattacharya, Jay and Garber, Alan M. and Goldhaber-Fiebert, Jeremy D.},
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+ pages = {219--224},
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+ title = {Procrastination, Deadlines, and Performance: Self-Control by Precommitment},
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+ volume = {13},
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+ year = {2002}}
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+ @unpublished{afzal2019,
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+ year = {2019}}
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+ pages = {3266-3302},
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+ title = {Measuring and Bounding Experimenter Demand},
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+ volume = {108},
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+ year = {2018}}
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+
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+ @unpublished{toussaert2019,
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+ date-added = {2019-11-02 20:51:23 +0000},
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+ date-modified = {2020-09-08 11:43:51 -0600},
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+ note = {Unpublished},
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+ title = {Revealing Temptation Through Menu Choice: Field Evidence},
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+ year = {2019}}
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+
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+ @article{woodford2019,
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+ journal = {Annual Review of Economics},
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+ pages = {579--601},
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+ title = {Modeling Imprecision in Perception, Valuation and Choice},
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+ volume = {12},
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+ year = {2019}}
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+ year = {forthcoming}}
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+ year = {2015}}
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+
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+ @unpublished{Skiba2018,
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+ author = {Paige Marta Skiba and Jeremy Tobacman},
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+ date-added = {2019-07-31 23:17:14 +0000},
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+ date-modified = {2020-09-08 12:02:26 -0600},
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+ note = {Working Paper},
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+ title = {Payday Loans, Uncertainty, and Discounting: Explaing Patterns of Borrowing, Repayment, and Default},
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+ year = {2018}}
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+
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+ @article{sprenger2015,
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+ pages = {280-285},
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+ volume = {105},
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+ year = {2015}}
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+ year = {2020}}
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+ year = {1960}}
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+ year = {1994}}
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+ journal = {Journal of Political Economy},
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+ pages = {419-457},
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+ year = {2019}}
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+ date-modified = {2021-07-25 13:40:20 -0600},
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+ journal = {Review of Economic Studies},
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+ title = {Are High-Interest Loans Predatory? Theory and Evidence from Payday Lending},
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+ year = {Forthcoming}}
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+
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+ year = {2015}}
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+ pages = {57-67},
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+ volume = {15},
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+ year = {2001}}
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+ year = {2005}}
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+ Bdsk-Url-2 = {http://dx.doi.org/10.1162/0033553041382111}}
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+ year = {2018}}
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+ keywords = {financial literacy},
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+ pages = {205-224},
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+ title = {Baby Boomer Retirement Security: The Roles of Planning, Financial Literacy, and Housing Wealth},
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+ volume = {51},
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+ year = {2007}}
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+
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+ date-modified = {2021-07-25 13:37:36 -0600},
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+ journal = {Management Science},
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+ number = {1},
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+ pages = {146--160},
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+ publisher = {INFORMS},
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+ title = {Naivet{\'e}, Projection Bias, and Habit Formation in Gym Attendance},
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+ volume = {61},
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+ year = {2015}}
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+
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+ @unpublished{frydman2019,
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+ date-modified = {2020-09-08 12:10:11 -0600},
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+ year = {2019}}
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+
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+ volume = {18},
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+ year = {2015}}
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+
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+ pages = {365-396},
678
+ title = {Commitment vs. Flexibility},
679
+ volume = {74},
680
+ year = {2006}}
681
+
682
+ @article{dellavigna2012testing,
683
+ author = {DellaVigna, Stefano and List, John A and Malmendier, Ulrike},
684
+ date-added = {2019-05-30 16:19:32 +0000},
685
+ date-modified = {2020-09-08 11:45:08 -0600},
686
+ journal = {Quarterly Journal of Economics},
687
+ number = {1},
688
+ pages = {1--56},
689
+ publisher = {MIT Press},
690
+ title = {Testing for Altruism and Social Pressure in Charitable Giving},
691
+ volume = {127},
692
+ year = {2012}}
693
+
694
+ @article{Carroll2009,
695
+ author = {Carroll, Gabriel D and Choi, James J and Laibson, David and Madrian, Brigitte C and Metrick, Andrew},
696
+ date-added = {2019-05-30 15:40:53 +0000},
697
+ date-modified = {2019-05-30 15:40:53 +0000},
698
+ journal = {The Quarterly Journal of Economics},
699
+ keywords = {behavioral},
700
+ number = {4},
701
+ pages = {1639--1674},
702
+ publisher = {Oxford University Press},
703
+ title = {Optimal defaults and active decisions},
704
+ volume = {124},
705
+ year = {2009},
706
+ Bdsk-File-1 = {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}}
707
+
708
+ @article{strotz,
709
+ author = {R. H. Strotz},
710
+ date-added = {2019-05-30 15:24:10 +0000},
711
+ date-modified = {2020-09-08 12:06:46 -0600},
712
+ journal = {The Review of Economic Studies},
713
+ number = {3},
714
+ pages = {165--180},
715
+ title = {Myopia and Inconsistency in Dynamic Utility Maximization},
716
+ volume = {23},
717
+ year = {1955}}
718
+
719
+ @article{Laibson2018,
720
+ author = {David Laibson},
721
+ date-added = {2019-05-30 15:19:46 +0000},
722
+ date-modified = {2019-05-30 15:20:39 +0000},
723
+ journal = {AEA Papers and Proceedings},
724
+ pages = {1-21},
725
+ title = {Private Paternalism, the Commitment Puzzle, and Model-Free Equilibrum},
726
+ volume = {108},
727
+ year = {2018}}
728
+
729
+ @incollection{laibson2017,
730
+ author = {Keith M. Ericson and David Laibson},
731
+ booktitle = {Handbook of Behavioral Economics},
732
+ date-added = {2019-05-30 15:16:25 +0000},
733
+ date-modified = {2019-08-31 01:28:35 +0000},
734
+ editor = {B. Douglas Bernheim and Stefano DellaVigna and David Laibson},
735
+ publisher = {Elsevier},
736
+ title = {Intertemporal Choice},
737
+ volume = {2},
738
+ year = {2019}}
739
+
740
+ @article{Laibson2015,
741
+ author = {David Laibson},
742
+ date-added = {2019-05-30 15:16:16 +0000},
743
+ date-modified = {2019-05-30 15:16:16 +0000},
744
+ journal = {American Economic Review},
745
+ number = {5},
746
+ pages = {267-272},
747
+ title = {Why Don't Present-Baised Agents Make Commitments?},
748
+ volume = {105},
749
+ year = {2015}}
750
+
751
+ @incollection{BernheimTaubinsky,
752
+ address = {New York},
753
+ author = {B. Douglas Bernheim and Dmitry Taubinsky},
754
+ booktitle = {The Handbook of Behavioral Economics},
755
+ date-added = {2019-05-30 15:15:09 +0000},
756
+ date-modified = {2019-05-30 15:15:09 +0000},
757
+ editor = {B. Douglas Bernheim and Stefano DellaVigna and David Laibson},
758
+ publisher = {Elsevier},
759
+ title = {Behavioral Public Economics},
760
+ volume = {1},
761
+ year = {2018}}
762
+
763
+ @article{Laibson1997,
764
+ author = {Laibson, David},
765
+ date-added = {2019-05-30 15:15:02 +0000},
766
+ date-modified = {2019-05-30 15:15:02 +0000},
767
+ journal = {Quarterly Journal of Economics},
768
+ keywords = {behavioral},
769
+ number = {2},
770
+ pages = {443--478},
771
+ publisher = {Oxford University Press},
772
+ title = {Golden Eggs and Hyperbolic Discounting},
773
+ volume = {112},
774
+ year = {1997},
775
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+
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+ @article{Benabou2004,
778
+ author = {Roland Benabou and Jean Tirole},
779
+ date-added = {2019-05-28 17:47:55 +0000},
780
+ date-modified = {2019-05-28 17:48:26 +0000},
781
+ journal = {Journal of Political Economy},
782
+ number = {4},
783
+ pages = {848-887},
784
+ title = {Willpower and Personal Rules},
785
+ volume = {112},
786
+ year = {2004}}
787
+
788
+ @article{Benabou2002,
789
+ author = {Roland Benabou and Jean Tirole},
790
+ date-added = {2019-05-28 17:47:17 +0000},
791
+ date-modified = {2019-05-28 17:47:51 +0000},
792
+ journal = {The Quarterly Journal of Economics},
793
+ number = {3},
794
+ pages = {871-915},
795
+ title = {Self-Confidence and Personal Motivation},
796
+ volume = {117},
797
+ year = {2002}}
798
+
799
+ @unpublished{Woodford2012,
800
+ author = {Michael Woodford},
801
+ date-added = {2019-05-28 17:45:04 +0000},
802
+ date-modified = {2019-11-08 17:31:22 -0500},
803
+ note = {Unpublished},
804
+ title = {Inattentive Valuation and Reference-Dependent Choice},
805
+ year = {2012}}
806
+
807
+ @article{Paserman2008,
808
+ author = {Paserman, M. Daniele},
809
+ date-added = {2019-05-28 17:44:42 +0000},
810
+ date-modified = {2021-07-25 15:14:29 -0600},
811
+ journal = {The Economic Journal},
812
+ number = {531},
813
+ pages = {1418--1452},
814
+ publisher = {Wiley Online Library},
815
+ title = {Job Search and Hyperbolic Discounting: Structural Estimation and Policy Evaluation},
816
+ volume = {118},
817
+ year = {2008},
818
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819
+
820
+ @article{Gruber2004,
821
+ author = {Gruber, Jonathan and K{\H{o}}szegi, Botond},
822
+ date-added = {2019-05-28 17:44:25 +0000},
823
+ date-modified = {2019-05-28 17:44:25 +0000},
824
+ journal = {Journal of Public Economics},
825
+ keywords = {behavioral, opt_nudge},
826
+ number = {9},
827
+ pages = {1959--1987},
828
+ publisher = {Elsevier},
829
+ title = {Tax incidence when individuals are time-inconsistent: the case of cigarette excise taxes},
830
+ volume = {88},
831
+ year = {2004},
832
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833
+
834
+ @article{gabaix2014,
835
+ author = {Xavier Gabaix},
836
+ date-added = {2019-05-28 17:44:15 +0000},
837
+ date-modified = {2019-05-28 17:44:15 +0000},
838
+ journal = {Quarterly Journal of Economics},
839
+ number = {4},
840
+ pages = {1661-1710},
841
+ title = {A Sparsity Based Model of Bounded Rationality},
842
+ volume = {129},
843
+ year = {2014}}
844
+
845
+ @article{DellaVigna2009,
846
+ author = {DellaVigna, Stefano},
847
+ date-added = {2019-05-28 17:44:01 +0000},
848
+ date-modified = {2019-05-28 17:44:01 +0000},
849
+ journal = {Journal of Economic Literature},
850
+ keywords = {behavioral},
851
+ number = {2},
852
+ pages = {315--372},
853
+ publisher = {Citeseer},
854
+ title = {Psychology and Economics: Evidence from the Field},
855
+ volume = {47},
856
+ year = {2009},
857
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858
+
859
+ @article{DellaVigna2005,
860
+ author = {DellaVigna, Stefano and Paserman, M Daniele},
861
+ date-added = {2019-05-28 17:43:57 +0000},
862
+ date-modified = {2019-05-28 17:43:57 +0000},
863
+ journal = {Journal of Labor Economics},
864
+ number = {3},
865
+ title = {Job Search and Impatience},
866
+ volume = {23},
867
+ year = {2005},
868
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869
+
870
+ @article{Beshears2008,
871
+ author = {Beshears, John and Choi, James J and Laibson, David and Madrian, Brigitte C},
872
+ date-added = {2019-05-28 17:43:25 +0000},
873
+ date-modified = {2019-05-28 17:43:25 +0000},
874
+ journal = {Journal of Public Economics},
875
+ keywords = {behavioral, opt_nudge},
876
+ number = {8},
877
+ pages = {1787--1794},
878
+ publisher = {Elsevier},
879
+ title = {How are preferences revealed?},
880
+ volume = {92},
881
+ year = {2008},
882
+ Bdsk-File-1 = {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}}
883
+
884
+ @article{milkman2014,
885
+ author = {Katherine L. Milkman and Julia A. Minson and Kevin G. M. Volpp},
886
+ date-added = {2019-05-27 23:31:27 +0000},
887
+ date-modified = {2019-05-27 23:32:23 +0000},
888
+ journal = {Management Science},
889
+ number = {2},
890
+ pages = {283-299},
891
+ title = {Holding the Hunger Games Hostage at the Gym: An Evaluations of Temptation Bundling},
892
+ volume = {60},
893
+ year = {2014}}
894
+
895
+ @article{Sun2014,
896
+ author = {Kai Sun and Jing Song and Larry M. Manheim and Rowland W. Chang and Kent C. Kwoh and Pamela A. Semanik and Charles B. Eaton and Dorothy D. Dunlop},
897
+ date-added = {2019-05-27 15:30:58 +0000},
898
+ date-modified = {2019-05-27 15:32:50 +0000},
899
+ journal = {Seminars in Arthritis and Rheumatism},
900
+ number = {3},
901
+ pages = {264-270},
902
+ title = {Relationship of Meeting Physical Activity Guidelines with Quality Adjusted Life Years},
903
+ volume = {44},
904
+ year = {2014}}
905
+
906
+ @article{Blair1989,
907
+ author = {Steven N. Blair and Harold W. Kohl and Ralph S. Paffenbarger and Debra G. Clark and Kenneth H. Cooper and Larry W. Gibbons},
908
+ date-added = {2019-05-27 15:27:17 +0000},
909
+ date-modified = {2019-05-27 15:30:15 +0000},
910
+ journal = {Journal of the American Medical Association},
911
+ number = {17},
912
+ pages = {2395-2401},
913
+ title = {Physical Fitness and All-Cause Mortality A Prospective Study of Healthy Men and Women},
914
+ volume = {262},
915
+ year = {1989}}
916
+
917
+ @article{Neumann2014,
918
+ author = {Peter J. Neumann and Joushua T. Cohen and Milton C. Weinstein},
919
+ date-added = {2019-05-27 15:25:01 +0000},
920
+ date-modified = {2019-05-27 16:19:07 +0000},
921
+ journal = {The New England Journal of Medicine},
922
+ number = {9},
923
+ pages = {796-797},
924
+ title = {Updating Cost-Effectiveness: The Curious Resilience of the \$50,000 per-QALY-Threshold},
925
+ volume = {371},
926
+ year = {2014}}
927
+
928
+ @article{hansen1982,
929
+ author = {Lars Peter Hansen},
930
+ date-added = {2019-05-21 00:45:18 +0000},
931
+ date-modified = {2019-05-21 00:46:51 +0000},
932
+ journal = {Econometrica},
933
+ number = {4},
934
+ pages = {1029-1054},
935
+ title = {Large Sample Properties of Generalized Method of Moments Estimators},
936
+ volume = {50},
937
+ year = {1982}}
938
+
939
+ @article{Odonoghue2001,
940
+ author = {Ted O'Donoghue and Matthew Rabin},
941
+ date-added = {2019-05-16 01:58:22 +0000},
942
+ date-modified = {2019-05-16 01:59:28 +0000},
943
+ journal = {Quarterly Journal of Economics},
944
+ number = {1},
945
+ pages = {121-160},
946
+ title = {Choice and Procrastination},
947
+ volume = {116},
948
+ year = {2001}}
949
+
950
+ @article{Gul2001,
951
+ author = {Faruk Gul and Wolfgang Pesendorfer},
952
+ date-added = {2019-05-16 01:56:09 +0000},
953
+ date-modified = {2019-05-16 01:56:55 +0000},
954
+ journal = {Econometrica},
955
+ number = {6},
956
+ pages = {1403-1435},
957
+ title = {Temptation and Self-Control},
958
+ volume = {69},
959
+ year = {2001}}
960
+
961
+ @article{fudenberg2006,
962
+ author = {Drew Fudenberg and David K. Levine},
963
+ date-added = {2019-05-16 01:42:58 +0000},
964
+ date-modified = {2019-05-16 01:44:06 +0000},
965
+ journal = {American Economic Review},
966
+ number = {5},
967
+ pages = {1449-1476},
968
+ title = {A Dual-Self Model of Impulse Control},
969
+ volume = {96},
970
+ year = {2006}}
971
+
972
+ @article{kaur2015,
973
+ abstract = {Self-control problems change the logic of agency theory by partly aligning the interests of the firm and worker: both now value contracts that elicit future effort. Findings from a year-long field experiment with full-time data entry workers support this idea. First, workers increase output by voluntarily choosing dominated contracts (which penalize low output but give no additional rewards for high output). Second, effort increases closer to (randomly assigned) paydays. Third, the contract and payday effects are strongly correlated within workers, and this correlation grows with experience. We suggest that workplace features such as high-powered incentives or effort monitoring may provide self-control benefits.},
974
+ author = {Kaur, Supreet and Kremer, Michael and Mullainathan, Sendhil},
975
+ date = {2015-12-01},
976
+ date-modified = {2021-07-27 01:38:16 -0600},
977
+ file = {Full Text PDF:C\:\\Users\\w63k131\\Zotero\\storage\\4V5JVZ8H\\Kaur et al. - 2015 - Self-Control at Work.pdf:application/pdf;Snapshot:C\:\\Users\\w63k131\\Zotero\\storage\\MXNGT7AR\\683822.html:text/html},
978
+ issn = {0022-3808},
979
+ journal = {Journal of Political Economy},
980
+ journaltitle = {Journal of Political Economy},
981
+ number = {6},
982
+ pages = {1227--1277},
983
+ shortjournal = {Journal of Political Economy},
984
+ title = {Self-Control at Work},
985
+ volume = {123},
986
+ year = {2015},
987
+ Bdsk-Url-1 = {https://www.journals.uchicago.edu/doi/abs/10.1086/683822},
988
+ Bdsk-Url-2 = {https://doi.org/10.1086/683822}}
989
+
990
+ @article{heidhues2009,
991
+ author = {Paul Heidhues and Botond K{\H{o}}szegi},
992
+ date-modified = {2021-07-25 13:51:28 -0600},
993
+ file = {Heidhues and K{\H o}szegi - 2009 - Futile Attempts at Self-Control.pdf:C\:\\Users\\w63k131\\Zotero\\storage\\H58JLC29\\Heidhues and K{\H o}szegi - 2009 - Futile Attempts at Self-Control.pdf:application/pdf},
994
+ issn = {1542-4766, 1542-4774},
995
+ journal = {Journal of the European Economic Association},
996
+ journaltitle = {Journal of the European Economic Association},
997
+ langid = {english},
998
+ number = {2},
999
+ pages = {423--434},
1000
+ title = {Futile Attempts at Self-Control},
1001
+ volume = {7},
1002
+ year = {2009},
1003
+ Bdsk-Url-1 = {https://academic.oup.com/jeea/article-lookup/doi/10.1162/JEEA.2009.7.2-3.423},
1004
+ Bdsk-Url-2 = {https://doi.org/10.1162/JEEA.2009.7.2-3.423}}
1005
+
1006
+ @article{exley2017,
1007
+ abstract = {Previous research often interprets the choice to restrict one's future opportunity set as evidence for sophisticated time inconsistency. We propose an additional mechanism that may contribute to the demand for commitment technology: the desire to signal to others. We present a field experiment where participants can choose to give up money if they do not follow through with an action. When commitment choices are made public rather than kept private, we find significantly higher uptake rates.Data are available at http://dx.doi.org/10.1287/mnsc.2016.2501.This paper was accepted by Uri Gneezy, behavioral economics.},
1008
+ author = {Exley, Christine L. and Naecker, Jeffrey K.},
1009
+ date = {2017-10},
1010
+ date-modified = {2021-07-27 01:37:46 -0600},
1011
+ file = {Full Text:C\:\\Users\\w63k131\\Zotero\\storage\\NTHW4TIQ\\Exley and Naecker - 2016 - Observability Increases the Demand for Commitment .pdf:application/pdf;Snapshot:C\:\\Users\\w63k131\\Zotero\\storage\\HZ5VZSAR\\mnsc.2016.html:text/html},
1012
+ issn = {0025-1909},
1013
+ journal = {Management Science},
1014
+ journaltitle = {Management Science},
1015
+ number = {10},
1016
+ pages = {3262--3267},
1017
+ shortjournal = {Management Science},
1018
+ title = {Observability Increases the Demand for Commitment Devices},
1019
+ volume = {63},
1020
+ year = {2017},
1021
+ Bdsk-Url-1 = {https://pubsonline.informs.org/doi/10.1287/mnsc.2016.2501},
1022
+ Bdsk-Url-2 = {https://doi.org/10.1287/mnsc.2016.2501}}
1023
+
1024
+ @article{mckelvey1995,
1025
+ abstract = {We investigate the use of standard statistical models for quantal choice in a game theoretic setting. Players choose strategies based on relative expected utility and assume other players do so as well. We define a quantal response equilibrium ({ORE}) as a fixed point of this process and establish existence. For a logit specification of the error structure, we show that as the error goes to zero, {QRE} approaches a subset of Nash equilibria and also implies a unique selection from the set of Nash equilibria in generic games. We fit the model to a variety of experimental data sets by using maximum likelihood estimation. Journal of Economic Literature Classification Numbers: C19, C44, C72, C92.},
1026
+ author = {{McKelvey}, Richard D. and Palfrey, Thomas R.},
1027
+ date = {1995-07-01},
1028
+ date-modified = {2021-07-27 01:35:01 -0600},
1029
+ file = {ScienceDirect Full Text PDF:C\:\\Users\\w63k131\\Zotero\\storage\\PY3UMW6N\\McKelvey and Palfrey - 1995 - Quantal Response Equilibria for Normal Form Games.pdf:application/pdf;ScienceDirect Snapshot:C\:\\Users\\w63k131\\Zotero\\storage\\RMXG4CF9\\S0899825685710238.html:text/html},
1030
+ issn = {0899-8256},
1031
+ journal = {Games and Economic Behavior},
1032
+ journaltitle = {Games and Economic Behavior},
1033
+ number = {1},
1034
+ pages = {6--38},
1035
+ shortjournal = {Games and Economic Behavior},
1036
+ title = {Quantal Response Equilibria for Normal Form Games},
1037
+ volume = {10},
1038
+ year = {1995},
1039
+ Bdsk-Url-1 = {http://www.sciencedirect.com/science/article/pii/S0899825685710238},
1040
+ Bdsk-Url-2 = {https://doi.org/10.1006/game.1995.1023}}
1041
+
1042
+ @article{khaw2017,
1043
+ abstract = {The theory of expected utility maximization ({EUM}) explains risk aversion as due to diminishing marginal utility of wealth. However, observed choices between risky lotteries are difficult to reconcile with {EUM}: for example, in the laboratory, subjects' responses on individual trials involve a random element, and cannot be predicted purely from the terms offered; and subjects often appear to be too risk averse with regard to small gambles (while still accepting sufficiently favorable large gambles) to be consistent with any utility-of-wealth function. We propose a unified explanation for both anomalies, similar to the explanation given for related phenomena in the case of perceptual judgments: they result from judgments based on imprecise (and noisy) mental representation of the decision situation. In this model, risk aversion is predicted without any need for a nonlinear utility-of-wealth function, and instead results from a sort of perceptual bias --- but one that represents an optimal Bayesian decision, given the limitations of the mental representation of the situation. We propose a specific quantitative model of the mental representation of a simple lottery choice problem, based on other evidence regarding numerical cognition, and test its ability to explain the choice frequencies that we observe in a laboratory experiment.},
1044
+ author = {Khaw, Mel Win and Li, Ziang and Woodford, Michael},
1045
+ date-modified = {2021-07-25 15:05:51 -0600},
1046
+ journal = {Review of Economic Studies},
1047
+ number = {4},
1048
+ pages = {1979--2013},
1049
+ title = {Cognitive Imprecision and Small-Stakes Risk Aversion},
1050
+ volume = {88},
1051
+ year = {2021},
1052
+ Bdsk-Url-1 = {http://www.nber.org/papers/w23294},
1053
+ Bdsk-Url-2 = {https://doi.org/10.3386/w23294}}
1054
+
1055
+ @article{john2020,
1056
+ abstract = {Commitment products can remedy self-control problems. However, imperfect
1057
+ knowledge about their preferences may (discontinuously) lead individuals to select into
1058
+ incentive-incompatible commitments, which reduce their welfare. I conducted a field
1059
+ experiment in which low-income individuals were randomly offered a new installmentsavings commitment account. Individuals chose a personalized savings plan and a default
1060
+ penalty themselves. A majority appears to choose a harmful contract: While the average
1061
+ effect on bank savings is large, 55% of clients default and incur monetary losses. A possible
1062
+ explanation is that the chosen penalties were too low (the commitment was too weak) to
1063
+ overcome clients' self-control problems. Measures of sophisticated hyperbolic discounting
1064
+ correlate negatively with take-up and default, and positively with penalty choices. This
1065
+ finding is consistent with theoretical predictions that partial sophisticates adopt weak
1066
+ commitments and then default, whereas full sophisticates are more cautious about committing, but better able to choose incentive-compatible contracts.},
1067
+ author = {John, Anett},
1068
+ date-modified = {2021-07-27 01:40:33 -0600},
1069
+ file = {John - When Commitment Fails -- Evidence from a Field Expe.pdf:C\:\\Users\\w63k131\\Zotero\\storage\\R92E3DTR\\John - When Commitment Fails -- Evidence from a Field Expe.pdf:application/pdf},
1070
+ journal = {Management Science},
1071
+ langid = {english},
1072
+ number = {2},
1073
+ pages = {503--529},
1074
+ title = {When Commitment Fails: Evidence from a Field Experiment},
1075
+ volume = {66},
1076
+ year = {2020}}
1077
+
1078
+ @article{gine2010,
1079
+ abstract = {We designed and tested a voluntary commitment product to help smokers quit smoking. The product ({CARES}) offered smokers a savings account in which they deposit funds for six months, after which they take a urine test for nicotine and cotinine. If they pass, their money is returned; otherwise, their money is forfeited to charity. Of
1080
+ smokers offered {CARES}, 11 percent took up, and smokers randomly offered {CARES} were 3 percentage points more likely to pass the 6-month test than the control group. More importantly, this effect
1081
+ persisted in surprise tests at 12 months, indicating that {CARES} produced
1082
+ lasting smoking cessation. ({JEL} D12, I12, O15)},
1083
+ author = {Xavier Gin{\'e} and Dean Karlan and Jonathan Zinman},
1084
+ date = {2010-10},
1085
+ date-modified = {2021-07-27 01:38:00 -0600},
1086
+ file = {Full Text PDF:C\:\\Users\\w63k131\\Zotero\\storage\\PKT3RAEU\\Gin{\'e} et al. - 2010 - Put Your Money Where Your Butt Is A Commitment Co.pdf:application/pdf;Snapshot:C\:\\Users\\w63k131\\Zotero\\storage\\UV43SVEF\\articles.html:text/html},
1087
+ issn = {1945-7782},
1088
+ journal = {American Economic Journal: Applied Economics},
1089
+ keywords = {Consumer Economics: Empirical Analysis, Health Production, Economic Development: Human Resources, Human Development, Income Distribution, Migration},
1090
+ langid = {english},
1091
+ number = {4},
1092
+ pages = {213--235},
1093
+ shorttitle = {Put Your Money Where Your Butt Is},
1094
+ title = {Put Your Money Where Your Butt Is: A Commitment Contract for Smoking Cessation},
1095
+ volume = {2},
1096
+ year = {2010},
1097
+ Bdsk-Url-1 = {https://www.aeaweb.org/articles?id=10.1257/app.2.4.213},
1098
+ Bdsk-Url-2 = {https://doi.org/10.1257/app.2.4.213}}
1099
+
1100
+ @article{schwartz2014,
1101
+ abstract = {We tested a voluntary self-control commitment device to help grocery shoppers make healthier food purchases. Participants, who were already enrolled in a large-scale incentive program that discounts the price of eligible groceries by 25\%, were offered the chance to put their discount on the line. Agreeing households pledged that they would increase their purchases of healthy food by 5 percentage points above their household baseline for each of 6 months. If they reached that goal, their discount was awarded as usual; otherwise, their discount was forfeited for that month. Thirty-six percent of households that were offered the binding commitment agreed; they subsequently showed an average 3.5-percentage-point increase in healthy grocery items purchased in each of the 6 months; households that declined the commitment and control-group households that were given a hypothetical option to precommit did not show such an increase. These results suggest that self-aware consumers will seize opportunities to create restrictive choice environments for themselves, even at some risk of financial loss.},
1102
+ author = {Schwartz, Janet and Mochon, Daniel and Wyper, Lauren and Maroba, Josiase and Patel, Deepak and Ariely, Dan},
1103
+ date = {2014-02-01},
1104
+ date-modified = {2021-07-27 10:03:19 -0600},
1105
+ file = {SAGE PDF Full Text:C\:\\Users\\w63k131\\Zotero\\storage\\V4UUC7SM\\Schwartz et al. - 2014 - Healthier by Precommitment.pdf:application/pdf},
1106
+ issn = {0956-7976},
1107
+ journal = {Psychological Science},
1108
+ journaltitle = {Psychological Science},
1109
+ langid = {english},
1110
+ number = {2},
1111
+ pages = {538--546},
1112
+ shortjournal = {Psychol Sci},
1113
+ title = {Healthier by Precommitment},
1114
+ volume = {25},
1115
+ year = {2014},
1116
+ Bdsk-Url-1 = {https://doi.org/10.1177/0956797613510950}}
1117
+
1118
+ @article{royer2015,
1119
+ abstract = {Financial incentives have shown strong positive short-run effects for problematic health behaviors that likely stem from time inconsistency. However, the effects often disappear once incentive programs end. This paper analyzes the results of a large-scale workplace field experiment to examine whether self-funded commitment contracts can improve the long-run effects of an incentive program. A four week incentive program targeting use of the company gym generated only small lasting effects on behavior. Those that also offered a commitment contract at the end of the program, however, showed demand for commitment and significant long-run changes, detectable even several years after the incentive ended. ({JEL} D03, I10, J32)},
1120
+ author = {Royer, Heather and Stehr, Mark and Sydnor, Justin},
1121
+ date = {2015-07},
1122
+ date-modified = {2021-07-27 01:35:54 -0600},
1123
+ file = {Full Text PDF:C\:\\Users\\w63k131\\Zotero\\storage\\HJLEPIQR\\Royer et al. - 2015 - Incentives, Commitments, and Habit Formation in Ex.pdf:application/pdf;Snapshot:C\:\\Users\\w63k131\\Zotero\\storage\\3KSB5EKY\\articles.html:text/html},
1124
+ issn = {1945-7782},
1125
+ journal = {American Economic Journal: Applied Economics},
1126
+ journaltitle = {American Economic Journal: Applied Economics},
1127
+ keywords = {Behavioral Microeconomics: Underlying Principles, Health: General, Nonwage Labor Costs and Benefits, Private Pensions, Retirement Plans},
1128
+ langid = {english},
1129
+ number = {3},
1130
+ pages = {51--84},
1131
+ shorttitle = {Incentives, Commitments, and Habit Formation in Exercise},
1132
+ title = {Incentives, Commitments, and Habit Formation in Exercise: Evidence from a Field Experiment with Workers at a Fortune-500 Company},
1133
+ volume = {7},
1134
+ year = {2015},
1135
+ Bdsk-Url-1 = {https://www.aeaweb.org/articles?id=10.1257/app.20130327},
1136
+ Bdsk-Url-2 = {https://doi.org/10.1257/app.20130327}}
1137
+
1138
+ @article{augenblick2015,
1139
+ abstract = {Experimental tests of dynamically inconsistent time preferences have largely relied on choices over time-dated monetary rewards. Several recent studies have failed to find the standard patterns of present bias. However, such monetary studies contain often-discussed confounds. In this article, we sidestep these confounds and investigate choices over consumption (real effort) in a longitudinal experiment. We pair this effort study with a companion monetary discounting study. We confirm very limited time inconsistency in monetary choices. However, subjects show considerably more present bias in effort. Furthermore, present bias in the allocation of work has predictive power for demand of a meaningfully binding commitment device. Therefore our findings validate a key implication of models of dynamic inconsistency, with corresponding policy implications. {JEL} Codes: C91, D12, D81.},
1140
+ author = {Augenblick, Ned and Niederle, Muriel and Sprenger, Charles},
1141
+ date = {2015},
1142
+ date-modified = {2021-07-25 13:41:06 -0600},
1143
+ file = {RePEc Snapshot:C\:\\Users\\w63k131\\Zotero\\storage\\XKUP7B2D\\v_3a130_3ay_3a2015_3ai_3a3_3ap_3a1067-1115..html:text/html},
1144
+ journal = {The Quarterly Journal of Economics},
1145
+ journaltitle = {The Quarterly Journal of Economics},
1146
+ number = {3},
1147
+ pages = {1067--1115},
1148
+ shorttitle = {Working over Time},
1149
+ title = {Working Over Time: Dynamic Inconsistency in Real Effort Tasks},
1150
+ urldate = {2019-03-24},
1151
+ volume = {130},
1152
+ year = {2015},
1153
+ Bdsk-Url-1 = {https://econpapers.repec.org/article/oupqjecon/v_3a130_3ay_3a2015_3ai_3a3_3ap_3a1067-1115..htm}}
1154
+
1155
+ @article{kaur2010,
1156
+ author = {Kaur, Supreet and Kremer, Michael and Mullainathan, Sendhil},
1157
+ date = {2010},
1158
+ issn = {0002-8282},
1159
+ journal = {The American Economic Review},
1160
+ journaltitle = {The American Economic Review},
1161
+ number = {2},
1162
+ pages = {624--628},
1163
+ title = {Self-Control and the Development of Work Arrangements},
1164
+ url = {https://www.jstor.org/stable/27805070},
1165
+ urldate = {2019-03-24},
1166
+ volume = {100},
1167
+ year = {2010},
1168
+ Bdsk-Url-1 = {https://www.jstor.org/stable/27805070}}
1169
+
1170
+ @article{sadoffsprenger2019,
1171
+ abstract = {Despite the great deal of research on dynamic inconsistency in time preferences, few studies have ventured into investigating the question in a natural context. To address this gap, we conduct a natural field experiment with over 200 customers at a grocery store to investigate dynamic inconsistency and the demand for commitment in food choice. Over a 3 week time period, subjects are invited to allocate and re-allocate food items received as part of a grocery delivery program. We observe substantial dynamic inconsistency in our experiment, as well as a demand for commitment among a non-negligible number of subjects. Interestingly, individuals who demand commitment are more likely to be dynamically consistent in their prior behavior. For academics, our work provides direct evidence of dynamic inconsistency in consumption choices in the field and points towards potential extensions to models of temptation. For policy-makers, our findings provide insights on innovations to alter food choices.},
1172
+ author = {Sadoff, Sally and Samek, Anya Savikhin and Sprenger, Charles},
1173
+ date-modified = {2019-11-07 17:32:29 -0500},
1174
+ journal = {Review of Economic Studies},
1175
+ pages = {1--35},
1176
+ title = {Dynamic Inconsistency in Food Choice: Experimental Evidence from a Food Desert},
1177
+ year = {2019},
1178
+ Bdsk-Url-1 = {https://papers.ssrn.com/abstract=2572821}}
1179
+
1180
+ @article{acland2018,
1181
+ abstract = {Abstract We conduct an experiment on an online game, exploring the effect on gameplay behavior of voluntary commitment devices that allow players to limit their gameplay. Approximately 25\% of players use the devices. Median and 75th percentile device users use devices approximately 60 and 100\% of the time, respectively. Players who chose to use the device were those who had previously played longer and more frequently than those who chose not to use the device. Offering the commitment devices decreased session length and session frequency by 2.8 and 6.1\%, respectively, while increasing weeks of play by 5.5\%. Our results are consistent with some players having self-identified self-control problems, leading to longer and more frequent play than they would prefer, and to demand for commitment, and also with commitment devices creating a more rewarding experience, leading to longer-lasting involvement with the game. Our results suggest incentivizing or requiring commitment devices in computer games.},
1182
+ author = {Acland, Dan and Chow, Vinci},
1183
+ date = {2018},
1184
+ date-modified = {2021-07-25 13:41:44 -0600},
1185
+ file = {Snapshot:C\:\\Users\\w63k131\\Zotero\\storage\\ES8572PM\\v4y2018i1d10.1007_s40881-018-0048-3.html:text/html},
1186
+ journal = {Journal of the Economic Science Association},
1187
+ keywords = {Commitment devices, Libertarian paternalism, Online experiment, Online games, Self-control},
1188
+ langid = {english},
1189
+ number = {1},
1190
+ pages = {46--62},
1191
+ shorttitle = {Self-control and demand for commitment in online game playing},
1192
+ title = {Self-Control and Demand for Commitment in Online Game Playing: Evidence from a Field Experiment},
1193
+ urldate = {2019-03-24},
1194
+ volume = {4},
1195
+ year = {2018},
1196
+ Bdsk-Url-1 = {https://ideas.repec.org/a/spr/jesaex/v4y2018i1d10.1007_s40881-018-0048-3.html}}
1197
+
1198
+ @article{toussaert2018,
1199
+ abstract = {Unlike present-biased individuals, agents who suffer self-control costs as in Gul and Pesendorfer, 2001 may choose to restrict their choice set even when they expect to resist temptation. To identify these self-control types, I design an experiment in which the temptation was to read a story during a tedious task. The identification strategy relies on a two-step procedure. First, I measure commitment demand by eliciting subjects' preferences over menus that did or did not allow access to the story. I then implement preferences using a random mechanism, allowing to observe subjects who faced the choice yet preferred commitment. A quarter to a third of subjects can be classified as self-control types according to their menu preferences. When confronted with the choice, virtually all of them behaved as they anticipated and resisted temptation. These findings suggest that policies restricting the availability of tempting options could have larger welfare benefits than predicted by standard models of present bias.},
1200
+ author = {Toussaert, S{\'e}verine},
1201
+ date = {2018},
1202
+ date-modified = {2021-07-27 01:36:34 -0600},
1203
+ file = {Full Text PDF:C\:\\Users\\w63k131\\Zotero\\storage\\EN9G3BBN\\Toussaert - 2018 - Eliciting Temptation and Self-Control Through Menu.pdf:application/pdf;Snapshot:C\:\\Users\\w63k131\\Zotero\\storage\\HM6CP22U\\ECTA14172.html:text/html},
1204
+ issn = {1468-0262},
1205
+ journal = {Econometrica},
1206
+ journaltitle = {Econometrica},
1207
+ keywords = {curiosity, experiment, menu choice, self-control, Temptation},
1208
+ langid = {english},
1209
+ number = {3},
1210
+ pages = {859--889},
1211
+ rights = {{\copyright} 2018 The Econometric Society},
1212
+ shorttitle = {Eliciting Temptation and Self-Control Through Menu Choices},
1213
+ title = {Eliciting Temptation and Self-Control Through Menu Choices: A Lab Experiment},
1214
+ volume = {86},
1215
+ year = {2018},
1216
+ Bdsk-Url-1 = {https://onlinelibrary.wiley.com/doi/abs/10.3982/ECTA14172},
1217
+ Bdsk-Url-2 = {https://doi.org/10.3982/ECTA14172}}
1218
+
1219
+ @article{schilbach2019,
1220
+ author = {Schilbach, Frank},
1221
+ date = {2019},
1222
+ date-modified = {2021-07-27 01:36:14 -0600},
1223
+ file = {Snapshot:C\:\\Users\\w63k131\\Zotero\\storage\\R5QWSEVK\\articles.html:text/html},
1224
+ issn = {0002-8282},
1225
+ journal = {American Economic Review},
1226
+ journaltitle = {American Economic Review},
1227
+ langid = {english},
1228
+ number = {4},
1229
+ pages = {1290--1322},
1230
+ shorttitle = {Alcohol and Self-Control},
1231
+ title = {Alcohol and Self-Control: A Field Experiment in India},
1232
+ volume = {109},
1233
+ year = {2019},
1234
+ Bdsk-Url-1 = {https://www.aeaweb.org/articles?id=10.1257/aer.20170458},
1235
+ Bdsk-Url-2 = {https://doi.org/10.1257/aer.20170458}}
1236
+
1237
+ @article{sadoffjpe2019,
1238
+ abstract = {A large literature examines the use of recipient contribution requirements in social programs to target people who most need and value aid. Yet little is known about public support for such requirements. In a field experiment with a nationally representative sample, we examine the effect of recipient contributions on charitable donations to a food aid program. The response to recipient monetary contributions is non-monotonic: donations increase when recipients make small monetary contributions and return to baseline under large recipient contributions. Recipient time contribution requirements also increase program support. Results from additional treatments suggest that individuals use contribution requirements to increase both allocative efficiency (screening recipients who most value the good) and targeting efficiency (screening recipients most in need). Our work informs the design of social programs, which must respond to the preferences of voters and donors who provide political and financial support.},
1239
+ author = {Sadoff, Sally and Samek, Anya},
1240
+ date = {2019-01-01},
1241
+ date-modified = {2019-11-07 17:23:41 -0500},
1242
+ doi = {10.1016/j.jpubeco.2018.10.011},
1243
+ file = {ScienceDirect Full Text PDF:C\:\\Users\\w63k131\\Zotero\\storage\\IL4MJZE3\\Sadoff and Samek - 2019 - The effect of recipient contribution requirements .pdf:application/pdf;ScienceDirect Snapshot:C\:\\Users\\w63k131\\Zotero\\storage\\EELHFDGY\\S0047272718302093.html:text/html},
1244
+ issn = {0047-2727},
1245
+ journal = {Journal of Public Economics},
1246
+ journaltitle = {Journal of Public Economics},
1247
+ keywords = {Charitable giving, Experiment, Recipient contributions, Social programs},
1248
+ pages = {1--16},
1249
+ shortjournal = {Journal of Public Economics},
1250
+ title = {The effect of recipient contribution requirements on support for social programs},
1251
+ url = {http://www.sciencedirect.com/science/article/pii/S0047272718302093},
1252
+ urldate = {2019-03-24},
1253
+ volume = {169},
1254
+ year = {2019},
1255
+ Bdsk-Url-1 = {http://www.sciencedirect.com/science/article/pii/S0047272718302093},
1256
+ Bdsk-Url-2 = {https://doi.org/10.1016/j.jpubeco.2018.10.011}}
1257
+
1258
+ @article{augenblick2019,
1259
+ abstract = {Abstract. We experimentally investigate the time-inconsistent taste for immediate gratification and future-preference misprediction. Across 7 weeks, 100 partic},
1260
+ author = {Augenblick, Ned and Rabin, Matthew},
1261
+ date = {2019},
1262
+ date-modified = {2021-07-27 01:30:22 -0600},
1263
+ file = {Snapshot:C\:\\Users\\w63k131\\Zotero\\storage\\7ES28D7L\\4996235.html:text/html},
1264
+ journal = {The Review of Economic Studies},
1265
+ journaltitle = {The Review of Economic Studies},
1266
+ langid = {english},
1267
+ number = {3},
1268
+ pages = {941-975},
1269
+ shortjournal = {Rev Econ Stud},
1270
+ title = {An Experiment on Time Preference and Misprediction in Unpleasant Tasks},
1271
+ urldate = {2019-03-24},
1272
+ volume = {86},
1273
+ year = {2019},
1274
+ Bdsk-Url-1 = {https://academic.oup.com/restud/advance-article/doi/10.1093/restud/rdy019/4996235},
1275
+ Bdsk-Url-2 = {https://doi.org/10.1093/restud/rdy019}}
1276
+
1277
+ @article{odonoghue1999,
1278
+ abstract = {The authors examine self-control problems--modeled as time-inconsistent, present-biased preferences--in a model where a person must do an activity exactly once. They emphasize two distinctions: do activities involve immediate costs or immediate rewards, and are people sophisticated or naive about future self-control problems? Naive people procrastinate immediate-cost activities and preproperate--do too soon--immediate-reward activities. Sophistication mitigates procrastination but exacerbates preproperation. Moreover, with immediate costs, a small present bias can severely harm only naive people, whereas with immediate rewards it can severely harm only sophisticated people. Lessons for savings, addiction, and elsewhere are discussed.},
1279
+ author = {O'Donoghue, Ted and Rabin, Matthew},
1280
+ date = {1999-03},
1281
+ date-modified = {2021-07-27 01:35:20 -0600},
1282
+ file = {Full Text PDF:C\:\\Users\\w63k131\\Zotero\\storage\\FJYALIDC\\O'Donoghue and Rabin - 1999 - Doing It Now or Later.pdf:application/pdf;Snapshot:C\:\\Users\\w63k131\\Zotero\\storage\\BN2M6H4I\\articles.html:text/html},
1283
+ issn = {0002-8282},
1284
+ journal = {American Economic Review},
1285
+ journaltitle = {American Economic Review},
1286
+ keywords = {Intertemporal Consumer Choice, Life Cycle Models and Saving, Consumer Economics: Theory},
1287
+ langid = {english},
1288
+ number = {1},
1289
+ pages = {103--124},
1290
+ title = {Doing It Now or Later},
1291
+ volume = {89},
1292
+ year = {1999},
1293
+ Bdsk-Url-1 = {https://www.aeaweb.org/articles?id=10.1257/aer.89.1.103},
1294
+ Bdsk-Url-2 = {https://doi.org/10.1257/aer.89.1.103}}
1295
+
1296
+ @incollection{harberger1964,
1297
+ author = {Harberger, Arnold},
1298
+ booktitle = {The role of direct and indirect taxes in the Federal Reserve System},
1299
+ date-modified = {2020-09-08 11:44:42 -0600},
1300
+ pages = {25--80},
1301
+ publisher = {Princeton University Press},
1302
+ title = {Taxation, Resource Allocation, and Welfare},
1303
+ year = {1964}}
1304
+
1305
+ @article{dellavigna2006,
1306
+ abstract = {How do consumers choose from a menu of contracts? We analyze a novel dataset
1307
+ from three U.S. health clubs with information on both the contractual choice and the
1308
+ day-to-day attendance decisions of 7,752 members over three years. The observed
1309
+ consumer behavior is difficult to reconcile with standard preferences and beliefs.
1310
+ First, members who choose a contract with a flat monthly fee of over \$70 attend on
1311
+ average 4.3 times per month. They pay a price per expected visit of more than \$17,
1312
+ even though they could pay \$10 per visit using a 10-visit pass. On average, these
1313
+ users forgo savings of \$600 during their membership. Second, consumers who
1314
+ choose a monthly contract are 17 percent more likely to stay enrolled beyond one
1315
+ year than users committing for a year. This is surprising because monthly members
1316
+ pay higher fees for the option to cancel each month. We also document cancellation
1317
+ delays and attendance expectations, among other findings. Leading explanations for
1318
+ our findings are overconfidence about future self-control or about future efficiency.
1319
+ Overconfident agents overestimate attendance as well as the cancellation probability
1320
+ of automatically renewed contracts. Our results suggest that making inferences
1321
+ from observed contract choice under the rational expectation hypothesis can
1322
+ lead to biases in the estimation of consumer preferences. ({JEL} D00, D12, D91)},
1323
+ author = {{DellaVigna}, Stefano and Malmendier, Ulrike},
1324
+ date = {2006-06},
1325
+ doi = {10.1257/aer.96.3.694},
1326
+ file = {Full Text PDF:C\:\\Users\\w63k131\\Zotero\\storage\\VDQMANZE\\DellaVigna and Malmendier - 2006 - Paying Not to Go to the Gym.pdf:application/pdf;Snapshot:C\:\\Users\\w63k131\\Zotero\\storage\\56JPPJ6J\\articles.html:text/html},
1327
+ issn = {0002-8282},
1328
+ journal = {American Economic Review},
1329
+ journaltitle = {American Economic Review},
1330
+ langid = {english},
1331
+ number = {3},
1332
+ pages = {694--719},
1333
+ title = {Paying Not to Go to the Gym},
1334
+ url = {https://www.aeaweb.org/articles?id=10.1257/aer.96.3.694},
1335
+ urldate = {2019-03-24},
1336
+ volume = {96},
1337
+ year = {2006},
1338
+ Bdsk-Url-1 = {https://www.aeaweb.org/articles?id=10.1257/aer.96.3.694},
1339
+ Bdsk-Url-2 = {https://doi.org/10.1257/aer.96.3.694}}
1340
+
1341
+ @article{carrera2018b,
1342
+ abstract = {Recent large-scale randomized experiments find that helping people form implementation intentions by asking when and where they plan to act increases one-time actions, such as vaccinations, preventative screenings and voting. We investigate the effect of a simple scalable planning intervention on a repeated behavior using a randomized design involving 877 subjects at a private gym. Subjects were randomized into i) a treatment group who selected the days and times they intended to attend the gym over the next two weeks or ii) a control group who instead recorded their days of exercise in the prior two weeks. In contrast to recent studies, we find that the planning intervention did not have a positive effect on behavior. We observe a tightly estimated null effect even though the majority of subjects believed that planning is helpful and despite clear evidence that they engaged with the planning process.},
1343
+ author = {Carrera, Mariana and Royer, Heather and Stehr, Mark and Sydnor, Justin and Taubinsky, Dmitry},
1344
+ date = {2018-11},
1345
+ doi = {10.1016/j.jhealeco.2018.09.002},
1346
+ issn = {1879-1646},
1347
+ journal = {Journal of Health Economics},
1348
+ journaltitle = {Journal of Health Economics},
1349
+ keywords = {Behavioral economics, Exercise, Health behaviors, Implementation intentions, Nudge, Physical activity, Planning},
1350
+ pages = {95--104},
1351
+ pmid = {30336306},
1352
+ shortjournal = {J Health Econ},
1353
+ shorttitle = {The limits of simple implementation intentions},
1354
+ title = {The limits of simple implementation intentions: Evidence from a field experiment on making plans to exercise},
1355
+ volume = {62},
1356
+ year = {2018},
1357
+ Bdsk-Url-1 = {https://doi.org/10.1016/j.jhealeco.2018.09.002}}
1358
+
1359
+ @article{carrera2018a,
1360
+ author = {Carrera, Mariana and Royer, Heather and Stehr, Mark and Sydnor, Justin},
1361
+ journal = {Journal of health economics},
1362
+ pages = {202--214},
1363
+ publisher = {Elsevier},
1364
+ title = {Can financial incentives help people trying to establish new habits? Experimental evidence with new gym members},
1365
+ volume = {58},
1366
+ year = {2018}}
1367
+
1368
+ @article{odonoghue2006,
1369
+ author = {O'Donoghue, Ted and Rabin, Matthew},
1370
+ date = {2006},
1371
+ date-modified = {2021-07-25 15:13:08 -0600},
1372
+ file = {RePEc Snapshot:C\:\\Users\\w63k131\\Zotero\\storage\\GAJAQAC6\\v_3a90_3ay_3a2006_3ai_3a10-11_3ap_3a1825-1849.html:text/html},
1373
+ issn = {0047-2727},
1374
+ journal = {Journal of Public Economics},
1375
+ journaltitle = {Journal of Public Economics},
1376
+ number = {10},
1377
+ pages = {1825--1849},
1378
+ title = {Optimal Sin Taxes},
1379
+ urldate = {2019-03-24},
1380
+ volume = {90},
1381
+ year = {2006},
1382
+ Bdsk-Url-1 = {https://econpapers.repec.org/article/eeepubeco/v_3a90_3ay_3a2006_3ai_3a10-11_3ap_3a1825-1849.htm}}
1383
+
1384
+ @article{allcott2019,
1385
+ abstract = {A common objection to ``sin taxes''---corrective taxes on goods that are thought to be overconsumed, such as cigarettes, alcohol, and sugary drinks---is that they often fall disproportionately on low-income consumers. This paper studies the interaction between corrective and redistributive motives in a general optimal taxation framework. We show that the implications of regressivity hinge on why consumption decreases with income. If the consumption-income relationship is driven by income effects, then regressivity is optimally offset by targeted transfers or income tax reforms, not by moderating the level of the sin tax. If the relationship is instead driven by between-income preference heterogeneity, the optimal sin tax depends on the demand elasticity: if demand is more elastic, then progressive benefits from reduced over-consumption can make the optimal sin tax larger than if there were no distributional concerns, while if demand is less elastic, the optimal tax is reduced. As an application, we estimate the optimal nationwide tax on sugar-sweetened beverages, using Nielsen Homescan data and a specially designed survey measuring nutrition knowledge and self-control. Our empirical estimates of elasticities, preference heterogeneity, incorrect beliefs, and self-control imply that current city-level taxes in Berkeley, San Francisco, and elsewhere are actually lower than the social optimum.},
1386
+ author = {Allcott, Hunt and Lockwood, Benjamin B. and Taubinsky, Dmitry},
1387
+ date = {2019},
1388
+ date-modified = {2019-08-21 02:51:11 +0000},
1389
+ file = {Allcott et al. - Regressive Sin Taxes, with an Application to the O.pdf:C\:\\Users\\w63k131\\Zotero\\storage\\GVHCX85V\\Allcott et al. - Regressive Sin Taxes, with an Application to the O.pdf:application/pdf},
1390
+ journal = {Quarterly Journal of Economics},
1391
+ langid = {english},
1392
+ number = {3},
1393
+ pages = {1557-1626},
1394
+ title = {Regressive Sin Taxes, with an Application to the Optimal Soda Tax},
1395
+ volume = {134},
1396
+ year = {2019}}
1397
+
1398
+ @article{ashraf2006,
1399
+ abstract = {Abstract. We designed a commitment savings product for a Philippine bank and implemented it using a randomized control methodology. The savings product was int},
1400
+ author = {Ashraf, Nava and Karlan, Dean and Yin, Wesley},
1401
+ date-modified = {2021-07-27 01:37:03 -0600},
1402
+ file = {Full Text PDF:C\:\\Users\\w63k131\\Zotero\\storage\\YWIB7XEU\\Ashraf et al. - 2006 - Tying Odysseus to the Mast Evidence From a Commit.pdf:application/pdf;Snapshot:C\:\\Users\\w63k131\\Zotero\\storage\\K75LMRUE\\1884028.html:text/html},
1403
+ issn = {0033-5533},
1404
+ journal = {The Quarterly Journal of Economics},
1405
+ language = {en},
1406
+ month = may,
1407
+ number = {2},
1408
+ pages = {635--672},
1409
+ shorttitle = {Tying {Odysseus} to the {Mast}},
1410
+ title = {Tying {Odysseus} to the {Mast}: {Evidence} {From} a {Commitment} {Savings} {Product} in the {Philippines}},
1411
+ volume = {121},
1412
+ year = {2006},
1413
+ Bdsk-Url-1 = {https://academic.oup.com/qje/article/121/2/635/1884028},
1414
+ Bdsk-Url-2 = {http://dx.doi.org/10.1162/qjec.2006.121.2.635}}
107/replication_package/Other/econ-aea.bst ADDED
@@ -0,0 +1,3600 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ %% aea.bst: BibTeX style file for journals of American Economic Association (AEA).
2
+ %
3
+ % Author: Shiro Takeda
4
+ % Maintainer: Shiro Takeda
5
+ % Copyright (C) 2001-2018 Shiro Takeda
6
+ % First-written: <2007/07/28>
7
+ % Version: 2.9
8
+ % Keywords: TeX, BibTeX, bst
9
+ % URL: https://github.com/ShiroTakeda/econ-bst
10
+
11
+ % This work may be distributed and/or modified under the
12
+ % conditions of the LaTeX Project Public License, either version 1.3
13
+ % of this license or (at your option) any later version.
14
+ % The latest version of this license is in
15
+ % http://www.latex-project.org/lppl.txt
16
+ % and version 1.3 or later is part of all distributions of LaTeX
17
+ % version 2005/12/01 or later.
18
+ %
19
+ % This work has the LPPL maintenance status "maintained".
20
+ %
21
+ % The Current Maintainer of this work is Shiro Takeda.
22
+
23
+ %% Main features of aea.bst
24
+
25
+ % "aea.bst" is a BibTeX style file for journals of American Economic
26
+ % Association such as
27
+ % - The American Economic Review
28
+ % - Papers and Proceedins
29
+ % - Journal of Economic Literature
30
+ % - American Economics Journals
31
+ %
32
+ % AEA Style Guide is found at the following site:
33
+ % https://www.aeaweb.org/journals/aer/submissions/accepted-articles/styleguide
34
+
35
+ % "aea.bst" is created from "econ.bst" which is distributed from
36
+ % https://github.com/ShiroTakeda/econ-bst
37
+
38
+ % version number
39
+ FUNCTION {econ.version} { "2.9" }
40
+
41
+ % File name
42
+ FUNCTION {econ.file} { "aer.bst" }
43
+
44
+ % Debug mode. Non-zero makes debug mode on.
45
+ FUNCTION {econ.debug}
46
+ { #0 } % Debug mode off (default).
47
+ % { #1 } % Debug mode on.
48
+
49
+ ENTRY
50
+ %%% Declaration of field
51
+ { access address author booktitle chapter doi edition editor howpublished
52
+ institution journal key month note number organization pages publisher
53
+ school series title type url volume year
54
+ % Fields specific to econ.bst
55
+ order absorder nameorder
56
+ }
57
+
58
+ % Definition of entry variable. The entry variable is a variable which has
59
+ % different values according to different entries.
60
+ %% Integer entry variable:
61
+ { order.cited }
62
+
63
+ %% String entry variable
64
+ { label cyear flabel alabel extra.label sort.label sort.label.abb
65
+ extra.label.bysame nameorder.temp jname }
66
+
67
+ %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
68
+ %%
69
+ %% Functions for customization:
70
+ %%
71
+ %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
72
+
73
+ % Use \bysame or not.
74
+ %
75
+ % If set to #0, \bysame is not used.
76
+ % If set to #1, \bysame is used
77
+ % If set to #2, \bysame is used (alternative abbreviation style).
78
+ %
79
+ % Note that integer number is expressed as # + integer in bst file.
80
+ % \bysame is the function that abbreviates succession of the same authors' name by ---.
81
+ %
82
+ % See econ-sample.pdf for details.
83
+ %
84
+ FUNCTION {bst.use.bysame}
85
+ { #0 } % Not use \bysame
86
+ % { #1 } % -> Use \bysame (default)
87
+ % { #2 } % -> Use \bysame of alternative style.
88
+
89
+ % The definition of \bysame command.
90
+ %
91
+ FUNCTION {bst.bysame.definition}
92
+ { "\hskip.3em \leavevmode\rule[.5ex]{3em}{.3pt}\hskip0.5em" } % (default)
93
+ % { "\leavevmode\hbox to\leftmargin{\hrulefill\,\,}" } % If you set #2 to bst.use.bysame, use this.
94
+
95
+ %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
96
+
97
+ % The order of fist and last name.
98
+ %
99
+ FUNCTION {bst.author.name}
100
+ { #0 } % (default)
101
+ % { #1 }
102
+ % { #2 }
103
+
104
+ % Case of #0: First author -> last-first, other authors -> first-last.
105
+ % Fujita, Masahisa, Paul R. Krugman, and Anthony J. Venables.
106
+
107
+ % Case of #1: All authors -> last-first
108
+ % Fujita, Masahisa, Krugman, Paul R., and Venables, Anthony J.
109
+
110
+ % Case of #2: All authors -> first-last
111
+ % Masahisa Fujita, Paul R. Krugman, and Anthony J. Venables.
112
+
113
+ %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
114
+
115
+ % Abbreviate first name of authors (editors):
116
+ %
117
+ FUNCTION {bst.first.name.initial}
118
+ { #0 } % #0 -> full letters (default).
119
+ % { #1 } % Non-zero -> initial letter only.
120
+
121
+ %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
122
+
123
+ % Decapitalize of strings in title field.
124
+ %
125
+ FUNCTION {bst.title.lower.case}
126
+ { #0 } % If #0, not decapitalize title (default).
127
+ % { #1 } % If non-#0, decapitalize title
128
+
129
+ % Hide title filed.
130
+ %
131
+ FUNCTION {bst.hide.title}
132
+ { #0 } % #0 -> Title field is displayed (default)
133
+ % { #1 } % Non-zer -> Title field is hidden
134
+
135
+ %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
136
+
137
+ % Hide month.
138
+ %
139
+ FUNCTION {bst.hide.month}
140
+ { #0 } % #0 -> show month field (default).
141
+ % { #1 } % non-#0 -> hide month field.
142
+
143
+ %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
144
+
145
+ % Attach number index like plain.bst.
146
+ %
147
+ FUNCTION {bst.use.number.index}
148
+ { #0 } % Not use number index (default).
149
+ % { #1 } % Non-#0 -> Use number index
150
+
151
+ % The string before number index:
152
+ %
153
+ FUNCTION {bst.number.index.pre}
154
+ { "[" } % (default)
155
+
156
+ % The string after number index. Adjustment is recommended.
157
+ %
158
+ FUNCTION {bst.number.index.post}
159
+ { "]\hskip1.0em " } % (default)
160
+
161
+ % Maximum digit of number index:
162
+ % If the number of reference items >= 100, set 3 to this function.
163
+ % If the number of reference items < 100, set 2 to this function.
164
+ % If the number of reference items < 10, set 1 to this function.
165
+ %
166
+ FUNCTION {bst.number.index.digit}
167
+ { "2" } % (default)
168
+ % { "3" }
169
+
170
+ % The functions below are used to adjust space and postion. If you use fonts
171
+ % other than computer modern fonts, you had better make adjustments.
172
+ %
173
+ % Setting for bst.number.index.digit = 1:
174
+ FUNCTION {bst.number.index.bibhang.one}
175
+ { "2.05em" } % (default)
176
+ % Setting for bst.number.index.digit = 2:
177
+ FUNCTION {bst.number.index.bibhang.ten}
178
+ { "2.55em" } % (default)
179
+ % Setting for bst.number.index.digit = 3:
180
+ FUNCTION {bst.number.index.bibhang.hund}
181
+ { "3.05em" } % (default).
182
+
183
+ %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
184
+
185
+ % Position of "year":
186
+ %
187
+ % You can choose the position of year by this function.
188
+ %
189
+ % If set to #0, year is placed right after "author".
190
+ % If set to non-zero, year is placed at the end (before note field) except for
191
+ % aritcle type entry.
192
+ %
193
+ % In article type entry, the position of year changes according to the
194
+ % following rule:
195
+ %
196
+ % #1 -> year is placed at the end.
197
+ % #2 -> year is placed after journal name in aritcle type entry.
198
+ % #3 -> year is placed after volume in aritcle type entry.
199
+ %
200
+ FUNCTION {bst.year.position}
201
+ { #0 } % (default).
202
+ % { #1 } % Last place before note.
203
+ % { #2 } % After journal name for aticle type entry.
204
+ % { #3 } % After volume for aticle type entry.
205
+
206
+ %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
207
+
208
+ % If 0, references are sorted by old documents -> recent documents. If
209
+ % non-zero, reverse order.
210
+ FUNCTION {bst.reverse.year}
211
+ { #0 } % Normal order (old -> recent) (default).
212
+ % { #1 } % inverse order (recent -> old)
213
+
214
+ % If non-zero, sort references by using year field as the primary key
215
+ % (chronological sorting).
216
+ FUNCTION {bst.sort.year}
217
+ { #0 } % Normal case: year is used as the sorting key next to author (default).
218
+ % { #1 } % year is used as the primary sorting key.
219
+
220
+
221
+ %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
222
+
223
+ % If non-zero, references are listed in citation order.
224
+ %
225
+ FUNCTION {bst.no.sort}
226
+ { #0 } % (default)
227
+ % { #1 } % listed in citation order.
228
+
229
+ %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
230
+
231
+ % Non-zero -> sort references by entry type (article, book, incollection etc.)
232
+ %
233
+ FUNCTION {bst.sort.entry.type}
234
+ { #0 } % #0 -> Normal (not sort references by entry type) (default).
235
+ % { #1 } % Non-zero -> sort references by entry type.
236
+
237
+ %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
238
+
239
+ % 0 -> use absorder field to sort items. Otherwise, ignore absorder field.
240
+ %
241
+ FUNCTION {bst.notuse.absorder.field}
242
+ { #0 } % #0 -> Use absorder (default).
243
+ % { #1 } % Non-#0 -> Not use absorder.
244
+ %
245
+ % Order of priority to sort items
246
+ %
247
+ % absorder -> author -> year -> order -> month -> title
248
+ %
249
+ % wehre absorder and order fields are specific to econ.bst.
250
+
251
+ %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
252
+
253
+ % 0 -> use order field to sort items. Otherwise, ignore order field.
254
+ % Note: order field is specific to econ.bst.
255
+ FUNCTION {bst.notuse.order.field}
256
+ { #0 } % #0 -> Use order field (default).
257
+ % { #1 } % Non-#0 -> not use order field.
258
+
259
+ %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
260
+ %%% and
261
+
262
+ %%% String used to separate author names in references.
263
+ %
264
+ % String replaced with _ in "Mr. A _ Mr. B "
265
+ %
266
+ FUNCTION {bst.and}
267
+ { ", and " }
268
+ % { " and " } % (default)
269
+
270
+ %%% String used to separate author names in references (more than two authors).
271
+ %
272
+ % String replaced with _ in "Mr. A, Mr. B _ Mr. C"
273
+ %
274
+ FUNCTION {bst.ands}
275
+ { ", and " } % (default)
276
+
277
+ %%% String used to separate author names in citation part.
278
+ %
279
+ % String replaced with _ in "Mr. A _ Mr. B "
280
+ %
281
+ FUNCTION {bst.cite.and}
282
+ { " and " } % (default)
283
+
284
+ %%% String used to separate author names in citation part (more than two authors).
285
+ %
286
+ % String replaced with _ in "Mr. A, Mr. B _ Mr. C"
287
+ %
288
+ FUNCTION {bst.cite.ands}
289
+ { ", and " }
290
+ % { " and " } % (default)
291
+
292
+ %%% If you want to use random author order for some bibliography entries, set
293
+ % non-zero to this function.
294
+ %
295
+ FUNCTION {bst.use.nameorder}
296
+ { #1 } % Use random order (default)
297
+ % { #0 } % Not use random order
298
+
299
+ %%% String used to separate author names in references for the entry of random
300
+ % author order.
301
+ %
302
+ FUNCTION {bst.and.nameorder}
303
+ { " \textcircled{r} " } % (default)
304
+
305
+ %%% String used to separate author names in citation part for the entry of
306
+ % random author order
307
+ %
308
+ FUNCTION {bst.cite.and.nameorder}
309
+ { " \textcircled{r} " } % (default)
310
+
311
+
312
+ %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
313
+
314
+ % Author names in the citation part are abbreviated by et al. if the number of
315
+ % authors is greater or equal to bst.and.others.num.
316
+ FUNCTION {bst.and.others.num}
317
+ { #3 } % If the number of authors is greater or equal to three (default).
318
+
319
+ % If the number of authors is greater or equal to bst.max.author.num, only
320
+ % first author is listed and other authors' names are abbreviated as "et al.".
321
+ FUNCTION {bst.max.author.num}
322
+ { #12 } % If the number of authors is greater or equal to 12 (default).
323
+
324
+ %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
325
+
326
+ %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
327
+
328
+ % Strings used when abbreviating multiple-authors in citation part.
329
+ FUNCTION {bst.and.others}
330
+ { " et~al." } % (default)
331
+
332
+ % Strings used when abbreviating multiple-authors in citation part for entries
333
+ % with random author order.
334
+ FUNCTION {bst.and.others.nameorder}
335
+ { " \textcircled{r}~al." } % (default)
336
+
337
+ %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
338
+ % author
339
+
340
+ % The string before author:
341
+ %
342
+ FUNCTION {bst.author.pre}
343
+ { "\textbf{" }
344
+ % { "" } % (default)
345
+
346
+ % The string after author:
347
+ %
348
+ FUNCTION {bst.author.post}
349
+ { ".}" }
350
+ % { "" } % (default)
351
+
352
+ %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
353
+ % year
354
+
355
+ % The string before year only for aritcle type entry.
356
+ %
357
+ FUNCTION {bst.year.pre}
358
+ { " " }
359
+ % { " (" } % (default)
360
+
361
+ % The string after year only for aritcle type entry.
362
+ %
363
+ FUNCTION {bst.year.post}
364
+ { ". " }
365
+ % { ") " } % (default)
366
+
367
+ % The string after year for non-article type entry (book, incollection etc)
368
+ %
369
+ FUNCTION {bst.year.na.pre}
370
+ { " " }
371
+ % { " (" } % (default)
372
+
373
+ % The string after year for non-article type entry (book, incollection etc)
374
+ %
375
+ FUNCTION {bst.year.na.post}
376
+ { ". " }
377
+ % { ") " } % (default)
378
+
379
+ %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
380
+ % title (except for title in book)
381
+
382
+ % The string before title:
383
+ %
384
+ FUNCTION {bst.title.pre}
385
+ { "``" } % (default)
386
+
387
+ % The string after title:
388
+ %
389
+ FUNCTION {bst.title.post}
390
+ { ".''" }
391
+ % { ",''" } % (default)
392
+
393
+ %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
394
+ % tile for book:
395
+
396
+ % The string before book title:
397
+ %
398
+ FUNCTION {bst.book.pre}
399
+ { " \textit{" } % (default)
400
+
401
+ % The string after book title:
402
+ %
403
+ FUNCTION {bst.book.post}
404
+ { "}." }
405
+ % { "}" } % (default)
406
+
407
+ %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
408
+ % booktitle
409
+
410
+ % The string before booktitle:
411
+ %
412
+ FUNCTION {bst.btitle.pre}
413
+ { " \textit{" } % (default)
414
+
415
+ % The string after booktitle:
416
+ %
417
+ FUNCTION {bst.btitle.post}
418
+ { "}," }
419
+ % { "}" } % (default)
420
+
421
+ %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
422
+ % journal name
423
+
424
+ % The string before journal name:
425
+ %
426
+ FUNCTION {bst.journal.pre}
427
+ { " \textit{" } % (default)
428
+
429
+ % The string after journal name:
430
+ %
431
+ FUNCTION {bst.journal.post}
432
+ { "}" } % (default)
433
+
434
+ % Use the abbreviated journal name
435
+ %
436
+ % If set to #0, do not use abbreviated journal name.
437
+ % If set to non-#0, use abbreviated journal name.
438
+ %
439
+ FUNCTION {bst.journal.name.abb}
440
+ { #0 } % (default)
441
+ % { #1 }
442
+
443
+ %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
444
+ % editor notation:
445
+
446
+ % The string that indicates multiple editors:
447
+ %
448
+ FUNCTION {bst.editors}
449
+ { " eds. " } % (default)
450
+
451
+ % The string that indicates single editor:
452
+ %
453
+ FUNCTION {bst.editor}
454
+ { " ed. " } % (default)
455
+
456
+ % Order of editor and booktitle in incollection and inproceedings entries.
457
+ %
458
+ % If set to #0: editors -> booktitle order
459
+ % If set to non-zero: booktitle -> editors order
460
+ %
461
+ FUNCTION {bst.editor.btitle.order}
462
+ { #1 }
463
+ % { #0 } % (default)
464
+
465
+ %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
466
+ % edition
467
+
468
+ % The string before edition:
469
+ %
470
+ FUNCTION {bst.edition.pre}
471
+ { ", " } % (default)
472
+
473
+ % The string after edition:
474
+ %
475
+ FUNCTION {bst.edition.post}
476
+ { " edition" } % (default)
477
+
478
+ %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
479
+ % volume
480
+
481
+ % The string before volume:
482
+ %
483
+ FUNCTION {bst.volume.pre}
484
+ { " " }
485
+ % { ", " } % (default)
486
+
487
+ % The string after volume:
488
+ %
489
+ FUNCTION {bst.volume.post}
490
+ { "" } % (default)
491
+
492
+ %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
493
+ % number
494
+
495
+ %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
496
+
497
+ % Hide number. If non-zero, number is suppressed.
498
+ FUNCTION {bst.hide.number}
499
+ { #0 } % #0 -> show number field (default)
500
+ % { #1 } % non-#0 -> Hide number field.
501
+
502
+ % The string before number:
503
+ %
504
+ FUNCTION {bst.number.pre}
505
+ { " (" } % (default)
506
+
507
+ % The string after number:
508
+ %
509
+ FUNCTION {bst.number.post}
510
+ { "): " }
511
+ % { ")" } % (default)
512
+
513
+ %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
514
+ % in
515
+
516
+ % In
517
+ %
518
+ FUNCTION {bst.in}
519
+ { " In " }
520
+ % { " in " } % (default)
521
+
522
+ %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
523
+ % page
524
+
525
+ % The string before page (multiple pages):
526
+ %
527
+ FUNCTION {bst.pages.pre}
528
+ { " " }
529
+ % { ", pp." } % (default)
530
+
531
+ % The string before page:
532
+ %
533
+ FUNCTION {bst.page.pre}
534
+ { "" }
535
+ % { ", " } % (default)
536
+
537
+ % The string after page (multiple pages):
538
+ %
539
+ FUNCTION {bst.pages.post}
540
+ { "" } % (default)
541
+
542
+ % The string after page:
543
+ %
544
+ FUNCTION {bst.page.post}
545
+ { "" } % (default)
546
+
547
+ %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
548
+ % chapter
549
+
550
+ % The string before chapter:
551
+ %
552
+ FUNCTION {bst.chapter.pre}
553
+ { ", Chap." } % (default)
554
+
555
+ % The string after chapter:
556
+ %
557
+ FUNCTION {bst.chapter.post}
558
+ { "" } % (default)
559
+
560
+ %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
561
+ % month
562
+
563
+ % The string before month:
564
+ %
565
+ FUNCTION {bst.month.pre}
566
+ { ", " } % (default)
567
+
568
+ % The string after month:
569
+ %
570
+ FUNCTION {bst.month.post}
571
+ { "" } % (default)
572
+
573
+ %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
574
+ % address
575
+ % The string before address:
576
+ %
577
+ FUNCTION {bst.address.pre}
578
+ { ", " } % (default)
579
+
580
+ % The string after address:
581
+ %
582
+ FUNCTION {bst.address.post}
583
+ { "" } % (default)
584
+
585
+ % You can choose the order of address and publisher by this function.
586
+ %
587
+ % If #0, address -> publisher order (the default value).
588
+ % If non-zero, publisher -> address order.
589
+
590
+ FUNCTION {bst.address.position}
591
+ { #0 } % Address is placed before publisher (default)
592
+ % { #1 } % Address is placed after publisher
593
+
594
+ %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
595
+ % publisher
596
+
597
+ % The string before publisher:
598
+ %
599
+ FUNCTION {bst.publisher.pre}
600
+ { ": " } % (default)
601
+
602
+ % The string after publisher:
603
+ %
604
+ FUNCTION {bst.publisher.post}
605
+ { ", " }
606
+ % { "" } % (default)
607
+
608
+ %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
609
+ % series
610
+
611
+ % The string before series:
612
+ %
613
+ FUNCTION {bst.series.pre}
614
+ { ", " } % (default)
615
+
616
+ % The string after series:
617
+ %
618
+ FUNCTION {bst.series.post}
619
+ { "" } % (default)
620
+
621
+ %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
622
+ % organization
623
+
624
+ % The string before organization:
625
+ %
626
+ FUNCTION {bst.organization.pre}
627
+ { ", " } % (default)
628
+
629
+ % The string after organization:
630
+ %
631
+ FUNCTION {bst.organization.post}
632
+ { "" } % (default)
633
+
634
+ %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
635
+ % school
636
+
637
+ % The string before school:
638
+ %
639
+ FUNCTION {bst.school.pre}
640
+ { ", " } % (default)
641
+
642
+ % The string after school:
643
+ %
644
+ FUNCTION {bst.school.post}
645
+ { "" } % (default)
646
+
647
+ %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
648
+ % institution
649
+
650
+ % The string before institution:
651
+ %
652
+ FUNCTION {bst.institution.pre}
653
+ { ", " } % (default)
654
+
655
+ % The string after institution:
656
+ %
657
+ FUNCTION {bst.institution.post}
658
+ { "" } % (default)
659
+
660
+ %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
661
+ % howpublished
662
+
663
+ % The string before howpublished:
664
+ %
665
+ FUNCTION {bst.howpublished.pre}
666
+ { " " } % (default)
667
+
668
+ % The string after howpublished:
669
+ %
670
+ FUNCTION {bst.howpublished.post}
671
+ { "" } % (default)
672
+
673
+ %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
674
+ % url
675
+
676
+ % Show or Hide url. If non-zero, url is displayed. Otherwise, url is suppressed.
677
+ FUNCTION {bst.show.url}
678
+ { #1 } % non-#0 -> Show url field (default)
679
+ % { #0 } % #0 -> Not show url field.
680
+
681
+ % The string before url:
682
+ %
683
+ FUNCTION {bst.url.pre}
684
+ { ", \url{" } % (default)
685
+
686
+ % The string after url:
687
+ %
688
+ FUNCTION {bst.url.post}
689
+ { "}" } % (default)
690
+
691
+
692
+ %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
693
+ % Access
694
+
695
+ % This setting is valid only if there are "access" field in bib
696
+ % files. The value of access field indicates accessed date for URL.
697
+
698
+ % The string before access.
699
+ FUNCTION {bst.access.pre}
700
+ { ", accessed on " } % (default)
701
+
702
+ % The string after access.
703
+ FUNCTION {bst.access.post}
704
+ { "" } % (default)
705
+
706
+ %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
707
+ % DOI (digital object identifier)
708
+
709
+ % This setting is valid only if there are "doi" field in bib files.
710
+
711
+ % Show or Hide DOI. If non-zero, DOI is displayed. Otherwise, DOI is suppressed.
712
+ FUNCTION {bst.show.doi}
713
+ { #1 } % non-#0 -> Show DOI field (default)
714
+ % { #0 } % #0 -> Not show DOI field.
715
+
716
+ % The string before DOI:
717
+ %
718
+ FUNCTION {bst.doi.pre}
719
+ { ". \href{http://dx.doi.org/" doi * "}{\urlstyle{rm} \nolinkurl{" * }
720
+ % { ", \href{http://dx.doi.org/" doi * "}{\urlstyle{rm} \nolinkurl{" * } % (default)
721
+
722
+ % The string after DOI:
723
+ %
724
+ FUNCTION {bst.doi.post}
725
+ { "}}" } % (default)
726
+
727
+ % How to show URL and DOI fields when both fields exist.
728
+ %
729
+ % #0 -> Both fields are displayed
730
+ % #1 -> Only URL field is displayed
731
+ % #2 -> Only DOI field is displayed
732
+ %
733
+ FUNCTION {bst.url.doi}
734
+ % { #0 } % -> Both fields are displayed
735
+ % { #1 } % -> Only URL field is displayed
736
+ { #2 } % (default) --> Only DOI field is displayed
737
+
738
+ %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
739
+ % Other functions:
740
+
741
+ % The string before note.
742
+ FUNCTION {bst.note.pre}
743
+ { ", " } % (default)
744
+
745
+ % The string after note.
746
+ FUNCTION {bst.note.post}
747
+ { "" } % (default)
748
+
749
+ % The string that represents Technical report:
750
+ %
751
+ FUNCTION {bst.techrep}
752
+ { "Technical Report" } % (default)
753
+
754
+ % The string that represents master thesis:
755
+ %
756
+ FUNCTION {bst.mthesis}
757
+ { " Master's thesis" } % (default)
758
+
759
+ % The string that represents phd thesis:
760
+ %
761
+ FUNCTION {bst.phdthesis}
762
+ { " Ph.D. dissertation" } % (default)
763
+
764
+ %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
765
+ %%
766
+ %% Functions for customization end here:
767
+ %%
768
+ %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
769
+
770
+ FUNCTION {bst.first}
771
+ { "1st" }
772
+
773
+ FUNCTION {bst.second}
774
+ { "2nd" }
775
+
776
+ FUNCTION {bst.third}
777
+ { "3rd" }
778
+
779
+ FUNCTION {bst.fourth}
780
+ { "4th" }
781
+
782
+ FUNCTION {bst.fifth}
783
+ { "5th" }
784
+
785
+ FUNCTION {bst.st}
786
+ { "st" }
787
+
788
+ FUNCTION {bst.nd}
789
+ { "nd" }
790
+
791
+ FUNCTION {bst.rd}
792
+ { "rd" }
793
+
794
+ FUNCTION {bst.th}
795
+ { "th" }
796
+
797
+ %%%%% memo by Takeda
798
+
799
+ % "a" 'b := indicates substituting string "a" for variable b.
800
+
801
+ % Integer number #0, #1,...
802
+
803
+ %%% Function definition:
804
+ %
805
+ % FUNCTION {name}
806
+ % { 's :=
807
+ %
808
+ % }
809
+ %
810
+ % This is the definition of a function named "name". The function "name" is
811
+ % used in the following way
812
+ %
813
+ % "foo" name
814
+ % "foo" is an argument for the function "name".
815
+ %
816
+ % About the definition of a function with more than two arguments, see the
817
+ % definition of "chop.word".
818
+
819
+ %%% Declaration of variables:
820
+
821
+ %% String global variables:
822
+ STRINGS { s t tt }
823
+ STRINGS { year.num }
824
+ STRINGS { preone preten }
825
+ STRINGS { last.sort.label next.extra prev.author prev.author.aer this.author }
826
+ STRINGS { hang }
827
+ STRINGS { item.type }
828
+ STRINGS { tempa tempb }
829
+
830
+ %% Integer global variables:
831
+ INTEGERS { nameptr namesleft numnames name.num }
832
+ INTEGERS { multiresult }
833
+ INTEGERS { index }
834
+ INTEGERS { len }
835
+ INTEGERS { last.extra.num }
836
+ INTEGERS { output.state before.all mid.sentence after.sentence after.block }
837
+ INTEGERS { last.period.comma }
838
+ INTEGERS { len1.aer len2.aer i.aer }
839
+
840
+ %%% Definition of functions:
841
+ FUNCTION {not}
842
+ { { #0 }
843
+ { #1 }
844
+ if$
845
+ }
846
+
847
+ FUNCTION {and}
848
+ { 'skip$
849
+ { pop$ #0 }
850
+ if$
851
+ }
852
+
853
+ FUNCTION {or}
854
+ { { pop$ #1 }
855
+ 'skip$
856
+ if$
857
+ }
858
+
859
+ %%% Initialize variables:
860
+ FUNCTION {init.state.consts}
861
+ { #0 'before.all :=
862
+ #1 'mid.sentence :=
863
+ #2 'after.sentence :=
864
+ #3 'after.block :=
865
+ }
866
+
867
+ %%% Remove comma and add period:
868
+ %
869
+ %%%
870
+ FUNCTION {add.period.x}
871
+ { duplicate$
872
+ #-1 #1 substring$ "," =
873
+ { #-2 global.max$ substring$ "." * }
874
+ { duplicate$
875
+ #-1 #2 substring$ ". " =
876
+ { #-3 global.max$ substring$ "." * }
877
+ { duplicate$
878
+ #-1 #2 substring$ ", " =
879
+ { #-3 global.max$ substring$ "." * }
880
+ { duplicate$
881
+ #-1 #2 substring$ ",'" =
882
+ { #-3 global.max$ substring$ ".'" * }
883
+ { duplicate$
884
+ #-1 #2 substring$ ".'" =
885
+ { #-3 global.max$ substring$ ".'" * }
886
+ { duplicate$
887
+ #-1 #2 substring$ ".~" =
888
+ { #-3 global.max$ substring$ ".~" * }
889
+ { duplicate$
890
+ #-1 #2 substring$ ",~" =
891
+ { #-3 global.max$ substring$ ".~" * }
892
+ { duplicate$
893
+ #-1 #3 substring$ ",''" =
894
+ { #-4 global.max$ substring$ ".''" * }
895
+ { duplicate$
896
+ #-1 #3 substring$ ".''" =
897
+ { #-4 global.max$ substring$ ".''" * }
898
+ { add.period$ }
899
+ if$
900
+ }
901
+ if$
902
+ }
903
+ if$
904
+ }
905
+ if$
906
+ }
907
+ if$
908
+ }
909
+ if$
910
+ }
911
+ if$
912
+ }
913
+ if$
914
+ }
915
+ if$
916
+ }
917
+
918
+ FUNCTION {output.nonnull}
919
+ { 's :=
920
+ % mid.sentence
921
+ output.state mid.sentence =
922
+ { ", " * write$ }
923
+ % not mid.sentence
924
+ { output.state after.block =
925
+ % after.block
926
+ { add.period.x " " * write$ }
927
+ % before.all
928
+ { output.state before.all =
929
+ 'write$
930
+ { add.period.x " " * write$ }
931
+ if$
932
+ }
933
+ if$
934
+ % not mid.sentence, set to mid.sentence
935
+ mid.sentence 'output.state :=
936
+ }
937
+ if$
938
+ s
939
+ }
940
+
941
+ %%% If the last character is period or comma, set non-zero to
942
+ %%% last.period.comma.
943
+ FUNCTION {period.comma.p}
944
+ { duplicate$ 't :=
945
+ t #-1 #1 substring$ "." =
946
+ t #-1 #1 substring$ "," = or
947
+ t #-1 #1 substring$ ":" = or
948
+ t #-1 #2 substring$ ".'" = or
949
+ t #-1 #2 substring$ ",'" = or
950
+ t #-1 #3 substring$ ".''" = or
951
+ t #-1 #3 substring$ ",''" = or
952
+ t #-1 #2 substring$ ".~" = or
953
+ t #-1 #2 substring$ ",~" = or
954
+ { #1 'last.period.comma := }
955
+ { #0 'last.period.comma := }
956
+ if$
957
+ }
958
+
959
+ %%% remove unnecessary comma.
960
+ FUNCTION {remove.pre.comma}
961
+ { 's :=
962
+ s empty$
963
+ { "" }
964
+ { s #1 #1 substring$ "," =
965
+ { s #2 global.max$ substring$ }
966
+ { s #1 #1 substring$ "." =
967
+ { s #2 global.max$ substring$ }
968
+ 's
969
+ if$
970
+ }
971
+ if$
972
+ }
973
+ if$
974
+ }
975
+
976
+ %%% output.nonnull.nocomma is the same as output.nonnull except that it does
977
+ %%% not add commas even in mid.sentence.
978
+ FUNCTION {output.nonnull.nocomma}
979
+ { 's :=
980
+ output.state mid.sentence =
981
+ % mid.sentence
982
+ { period.comma.p "" * write$ }
983
+
984
+ % not mid.sentence
985
+ { output.state after.block =
986
+ % after.block
987
+ { add.period.x " " * write$ }
988
+ % before.all
989
+ { output.state before.all =
990
+ 'write$
991
+ { add.period$ " " * write$ }
992
+ if$
993
+ }
994
+ if$
995
+ mid.sentence 'output.state :=
996
+ }
997
+ if$
998
+ last.period.comma #0 =
999
+ { s }
1000
+ { s remove.pre.comma }
1001
+ if$
1002
+ }
1003
+
1004
+ % Not used in the current econ.bst.
1005
+ % FUNCTION {output}
1006
+ % { duplicate$ empty$
1007
+ % 'pop$
1008
+ % 'output.nonnull
1009
+ % if$
1010
+ % }
1011
+
1012
+ FUNCTION {output.nocomma}
1013
+ { duplicate$ empty$
1014
+ 'pop$
1015
+ 'output.nonnull.nocomma
1016
+ if$
1017
+ }
1018
+
1019
+ % Not used in the current econ.bst.
1020
+ % FUNCTION {output.check}
1021
+ % { 't :=
1022
+ % duplicate$ empty$
1023
+ % { pop$ "empty " t * " in " * cite$ * warning$ }
1024
+ % 'output.nonnull
1025
+ % if$
1026
+ % }
1027
+
1028
+ FUNCTION {output.check.nocomma}
1029
+ { 't :=
1030
+ duplicate$ empty$
1031
+ { pop$ "empty " t * " in " * cite$ * warning$ }
1032
+ 'output.nonnull.nocomma
1033
+ if$
1034
+ }
1035
+
1036
+ %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
1037
+ %%% Format in bbl file:
1038
+
1039
+ % \harvarditem[Brezis et~al.]{Brezis, Krugman and
1040
+ % Tsiddon}{1993}{brezis93:_leapf_inter_compet}
1041
+ % Brezis, Elise~S., Paul~R. Krugman, and Daniel Tsiddon (1993) ``Leapfrogging in
1042
+ % International Competition: A Theory of Cycles in National Technological
1043
+ % Leadership.'', {\em American Economic Review.}, Vol.~83. No.~5. pp.
1044
+ % 1211--1219.
1045
+
1046
+ % \harvarditem[abbreviated citation]{full citation}{year}{keyword} ...
1047
+
1048
+ %%% Add period and newline.
1049
+ FUNCTION {fin.entry}
1050
+ { add.period.x
1051
+ write$
1052
+ newline$
1053
+ }
1054
+
1055
+ FUNCTION {new.block}
1056
+ { output.state before.all =
1057
+ 'skip$
1058
+ { after.block 'output.state := }
1059
+ if$
1060
+ }
1061
+
1062
+ FUNCTION {new.sentence}
1063
+ { output.state after.block =
1064
+ 'skip$
1065
+ { output.state before.all =
1066
+ 'skip$
1067
+ { after.sentence 'output.state := }
1068
+ if$
1069
+ }
1070
+ if$
1071
+ }
1072
+
1073
+ FUNCTION {new.block.check}
1074
+ { empty$
1075
+ 'skip$
1076
+ 'new.block
1077
+ if$
1078
+ }
1079
+
1080
+ FUNCTION {field.or.null}
1081
+ { duplicate$ empty$
1082
+ { pop$ "" }
1083
+ 'skip$
1084
+ if$
1085
+ }
1086
+
1087
+ %%% booktitle
1088
+ FUNCTION {format.btitle}
1089
+ { booktitle empty$
1090
+ { "" }
1091
+ { bst.btitle.pre booktitle * bst.btitle.post * }
1092
+ if$
1093
+ }
1094
+
1095
+ FUNCTION {journal.name.sub}
1096
+ { 't :=
1097
+ t #1 #4 substring$ "The " =
1098
+ % Use #30 to handle with the long journal name.
1099
+ { t #5 #30 substring$ 't := }
1100
+ 'skip$
1101
+ if$
1102
+ t
1103
+ }
1104
+
1105
+ FUNCTION {format.journal.name.abb}
1106
+ { journal 's :=
1107
+ journal 'jname :=
1108
+ s journal.name.sub 's :=
1109
+ bst.journal.name.abb #0 =
1110
+ 'skip$
1111
+ {
1112
+ s "Academic Management Review" =
1113
+ { "Acad. Manage. J." 'jname := }
1114
+ 'skip$
1115
+ if$
1116
+ }
1117
+ if$
1118
+ jname
1119
+ }
1120
+
1121
+ %%% journal
1122
+ FUNCTION {format.journal}
1123
+ { journal empty$
1124
+ { "" }
1125
+ { bst.journal.pre format.journal.name.abb * bst.journal.post * }
1126
+ if$
1127
+ }
1128
+
1129
+ %%% title for book
1130
+ FUNCTION {format.book}
1131
+ { title empty$
1132
+ { "" }
1133
+ { bst.book.pre title * bst.book.post * }
1134
+ if$
1135
+ }
1136
+
1137
+ FUNCTION {format.url}
1138
+ { url empty$
1139
+ { "" }
1140
+ { type$ "online" = bst.show.url or
1141
+ { bst.url.pre url * bst.url.post *
1142
+ access empty$
1143
+ { "" * }
1144
+ { bst.access.pre * access * bst.access.post * }
1145
+ if$
1146
+ }
1147
+ { "" }
1148
+ if$
1149
+ }
1150
+ if$
1151
+ }
1152
+
1153
+ FUNCTION {format.doi}
1154
+ { doi empty$ bst.show.doi not or
1155
+ { "" }
1156
+ { bst.doi.pre doi * bst.doi.post * }
1157
+ if$
1158
+ }
1159
+
1160
+ FUNCTION {format.url.doi}
1161
+ { url empty$
1162
+ { format.doi }
1163
+ { doi empty$
1164
+ { format.url }
1165
+ { bst.url.doi #0 =
1166
+ { format.url output.nocomma
1167
+ format.doi }
1168
+ { bst.url.doi #1 =
1169
+ { format.url }
1170
+ { format.doi }
1171
+ if$
1172
+ }
1173
+ if$
1174
+ }
1175
+ if$
1176
+ }
1177
+ if$
1178
+ }
1179
+
1180
+ %%% and others
1181
+ FUNCTION {bst.and.others.output}
1182
+ { nameorder.temp "random" =
1183
+ bst.use.nameorder #0 = not and
1184
+ { bst.and.others.nameorder }
1185
+ { bst.and.others }
1186
+ if$
1187
+ }
1188
+
1189
+ %%% author and editor
1190
+
1191
+ %%% name
1192
+ FUNCTION {format.names}
1193
+ { 's :=
1194
+ % insert 1 to nameptr.
1195
+ #1 'nameptr :=
1196
+ % Set the number of authors to numnames.
1197
+ s num.names$ 'numnames :=
1198
+ numnames 'namesleft :=
1199
+ % Repeat if namesleft > 0
1200
+ { namesleft #0 > }
1201
+
1202
+ { nameptr #1 =
1203
+ % First author
1204
+ { bst.author.name #0 =
1205
+ bst.author.name #1 =
1206
+ or
1207
+ { bst.first.name.initial #0 =
1208
+ { s nameptr "{vv~}{ll}{, ff}{, jj}" format.name$ 't := }
1209
+ { s nameptr "{vv~}{ll}{, f.}{, jj}" format.name$ 't := }
1210
+ if$
1211
+ }
1212
+ { bst.first.name.initial #0 =
1213
+ { s nameptr "{ff~}{vv~}{ll}{, jj}" format.name$ 't := }
1214
+ { s nameptr "{f.~}{vv~}{ll}{, jj}" format.name$ 't := }
1215
+ if$
1216
+ }
1217
+ if$
1218
+ }
1219
+ % The second or later authors
1220
+ { bst.author.name #0 =
1221
+ bst.author.name #2 =
1222
+ or
1223
+ { bst.first.name.initial #0 =
1224
+ { s nameptr "{ff~}{vv~}{ll}{, jj}" format.name$ 't := }
1225
+ { s nameptr "{f.~}{vv~}{ll}{, jj}" format.name$ 't := }
1226
+ if$
1227
+ }
1228
+ { bst.first.name.initial #0 =
1229
+ { s nameptr "{vv~}{ll}{, ff}{, jj}" format.name$ 't := }
1230
+ { s nameptr "{vv~}{ll}{, f.}{, jj}" format.name$ 't := }
1231
+ if$
1232
+ }
1233
+ if$
1234
+ }
1235
+ if$
1236
+
1237
+ nameptr #1 >
1238
+ % The second or later authors
1239
+ { numnames bst.max.author.num >
1240
+ { bst.and.others *
1241
+ #1 'namesleft := }
1242
+ { nameorder.temp "random" =
1243
+ bst.use.nameorder #0 = not and
1244
+ { bst.and.nameorder * t * }
1245
+ { namesleft #1 >
1246
+ % More than one authors left
1247
+ { ", " * t * }
1248
+ % Only one author left
1249
+ { t "others" =
1250
+ { bst.and.others.output * }
1251
+ { numnames #2 =
1252
+ % Entry with two authors
1253
+ { bst.and * t * }
1254
+ { bst.ands * t * }
1255
+ if$
1256
+ }
1257
+ if$
1258
+ }
1259
+ if$
1260
+ }
1261
+ if$
1262
+ }
1263
+ if$
1264
+ }
1265
+ 't
1266
+ if$
1267
+ nameptr #1 + 'nameptr :=
1268
+ namesleft #1 - 'namesleft :=
1269
+ }
1270
+ while$
1271
+ }
1272
+
1273
+ % remove successive periods (commas) from author
1274
+ FUNCTION {remove.ss.period.auth}
1275
+ { 's :=
1276
+ s format.names 'tempa :=
1277
+ bst.author.post 'tempb :=
1278
+ tempb #1 #1 substring$ "}" =
1279
+ { tempa tempb * }
1280
+ { tempa #-1 #1 substring$ tempb #1 #1 substring$ =
1281
+ { tempa tempb #2 global.max$ substring$ * }
1282
+ { tempa tempb * }
1283
+ if$
1284
+ }
1285
+ if$
1286
+ }
1287
+
1288
+ % <prev name list> <new name list> compare.names <modified name list>
1289
+ FUNCTION {compare.names.aer}
1290
+ { 's :=
1291
+ 'tempa :=
1292
+
1293
+ % "current.author = " s * "\\" * write$ newline$
1294
+ % "prev.author = " tempa * "\\" * write$ newline$
1295
+
1296
+ tempa num.names$ 'len1.aer := % len1 = the number of previous authors
1297
+ s num.names$ 'len2.aer := % len2 = the number of current authors
1298
+
1299
+ % len1.aer := min(len1.aer,len2.aer)
1300
+ % len1 -> min{ the number of previous authors, the number of current authors }
1301
+ len1.aer len2.aer >
1302
+ { len2.aer 'len1.aer := }
1303
+ { }
1304
+ if$
1305
+
1306
+ % start with an empty string, then while the components are the same
1307
+ % add "\bysame"
1308
+ ""
1309
+ #1 'i.aer :=
1310
+
1311
+ { i.aer len1.aer > not }
1312
+ { tempa i.aer "{ff }{vv }{ll}{ jj}" format.name$
1313
+ s i.aer "{ff }{vv }{ll}{ jj}" format.name$
1314
+ =
1315
+ { #1 i.aer <
1316
+ { " and " * } % \bysame �ŏȗ����钘�҂̑O�ɂ‚� and
1317
+ { }
1318
+ if$
1319
+ "\bysame{}" *
1320
+ i.aer #1 + 'i.aer := }
1321
+ { #-1 'len1.aer := }
1322
+ if$
1323
+ }
1324
+ while$
1325
+
1326
+ % add the rest of the second string
1327
+ { i.aer len2.aer > not }
1328
+ { #1 i.aer <
1329
+ { " and " * }
1330
+ { }
1331
+ if$
1332
+ s i.aer "{ff }{vv }{ll}{ jj}" format.name$ *
1333
+ i.aer #1 + 'i.aer :=
1334
+ }
1335
+ while$
1336
+ }
1337
+
1338
+ %%% author
1339
+ FUNCTION {format.authors}
1340
+ { author empty$
1341
+ { "" }
1342
+ { bst.use.bysame #2 =
1343
+ { prev.author.aer author compare.names.aer 's :=
1344
+ author 'prev.author.aer := }
1345
+ { author 's := }
1346
+ if$
1347
+ extra.label.bysame "bysame" =
1348
+ { "\bysame " }
1349
+ { bst.author.pre s remove.ss.period.auth * }
1350
+ if$
1351
+ }
1352
+ if$
1353
+ }
1354
+
1355
+ %%% editor
1356
+ FUNCTION {format.editors}
1357
+ { editor empty$
1358
+ { "" }
1359
+ { bst.use.bysame #2 =
1360
+ { prev.author.aer editor compare.names.aer 's :=
1361
+ editor 'prev.author.aer := }
1362
+ { editor 's := }
1363
+ if$
1364
+ extra.label.bysame "bysame" =
1365
+ { "\bysame " }
1366
+ { bst.author.pre s remove.ss.period.auth * }
1367
+ if$
1368
+ s num.names$ #1 >
1369
+ { bst.editors * }
1370
+ { bst.editor * }
1371
+ if$
1372
+ }
1373
+ if$
1374
+ }
1375
+
1376
+ FUNCTION {format.authors.alt}
1377
+ { author empty$
1378
+ { "" }
1379
+ { extra.label.bysame "bysame" =
1380
+ {"\bysame "}
1381
+ { bst.author.pre author remove.ss.period.auth * }
1382
+ if$
1383
+ }
1384
+ if$
1385
+ }
1386
+
1387
+ %%% editor
1388
+ FUNCTION {format.editors.alt}
1389
+ { editor empty$
1390
+ { "" }
1391
+ { extra.label.bysame "bysame" =
1392
+ { "\bysame " }
1393
+ { bst.author.pre editor remove.ss.period.auth * }
1394
+ if$
1395
+ }
1396
+ if$
1397
+ }
1398
+
1399
+ %%% format.in.ed.booktitle
1400
+ FUNCTION {format.editors.x}
1401
+ { editor empty$
1402
+ { "" }
1403
+ { bst.editor.btitle.order #0 =
1404
+ { "" }
1405
+ { editor num.names$ #1 >
1406
+ { " edited by " }
1407
+ { " edited by " }
1408
+ % { bst.editors " by " * }
1409
+ % { bst.editor " by " * }
1410
+ if$
1411
+ }
1412
+ if$
1413
+ editor format.names *
1414
+ bst.editor.btitle.order #0 =
1415
+ { editor num.names$ #1 >
1416
+ { bst.editors * }
1417
+ { bst.editor * }
1418
+ if$
1419
+ }
1420
+ { "" * }
1421
+ if$
1422
+ }
1423
+ if$
1424
+ }
1425
+
1426
+ %%% Remove commas in the cases like "?." and "?,".
1427
+ FUNCTION {remove.irrelevant.period.comma}
1428
+ { 's :=
1429
+ s empty$
1430
+ { "" }
1431
+ { s #-1 #3 substring$ "?,'" =
1432
+ s #-1 #3 substring$ "?.'" = or
1433
+ { s #-3 global.max$ substring$ "'" * }
1434
+ { s #-1 #4 substring$ "?,''" =
1435
+ s #-1 #4 substring$ "?.''" = or
1436
+ { s #-4 global.max$ substring$ "''" * }
1437
+ { s #-1 #2 substring$ "?," =
1438
+ s #-1 #2 substring$ "?." = or
1439
+ { s #-2 global.max$ substring$ "" * }
1440
+ { s #-1 #3 substring$ "?,~" =
1441
+ s #-1 #3 substring$ "?.~" = or
1442
+ { s #-4 global.max$ substring$ "?~" * }
1443
+ 's
1444
+ if$
1445
+ }
1446
+ if$
1447
+ }
1448
+ if$
1449
+ }
1450
+ if$
1451
+ }
1452
+ if$
1453
+ }
1454
+
1455
+ %%% title
1456
+ FUNCTION {format.title.sub}
1457
+ { bst.title.lower.case #0 =
1458
+ { bst.title.pre title * bst.title.post * }
1459
+ { bst.title.pre title "t" change.case$ * bst.title.post * }
1460
+ if$
1461
+ }
1462
+
1463
+ %%% title
1464
+ FUNCTION {format.title}
1465
+ { title empty$
1466
+ bst.hide.title #0 = not or
1467
+ { "" }
1468
+ { format.title.sub remove.irrelevant.period.comma }
1469
+ if$
1470
+ }
1471
+
1472
+ %%% title for misc.
1473
+ FUNCTION {format.misc.title}
1474
+ { title empty$
1475
+ { "" }
1476
+ { bst.title.pre title * bst.title.post * }
1477
+ if$
1478
+ }
1479
+
1480
+ % Convert "-" to "--" (for pages field)
1481
+ FUNCTION {n.dashify}
1482
+ { 't :=
1483
+ ""
1484
+ %% while$
1485
+ { t empty$ not }
1486
+ { t #1 #1 substring$ "-" =
1487
+ { t #1 #2 substring$ "--" = not
1488
+ { "--" *
1489
+ t #2 global.max$ substring$ 't :=
1490
+ }
1491
+ { { t #1 #1 substring$ "-" = }
1492
+ { "-" *
1493
+ t #2 global.max$ substring$ 't :=
1494
+ }
1495
+ while$
1496
+ }
1497
+ if$
1498
+ }
1499
+ { t #1 #1 substring$ *
1500
+ t #2 global.max$ substring$ 't :=
1501
+ }
1502
+ if$
1503
+ }
1504
+ while$
1505
+ }
1506
+
1507
+ %%% year
1508
+ FUNCTION {format.year}
1509
+ { year empty$
1510
+ { "there's no year in " cite$ * warning$
1511
+ ", " }
1512
+ { type$ "article" =
1513
+ { bst.year.pre year * extra.label * bst.year.post * }
1514
+ { bst.year.na.pre year * extra.label * bst.year.na.post * }
1515
+ if$
1516
+ }
1517
+ if$
1518
+ }
1519
+
1520
+ %%% page for book
1521
+ FUNCTION {format.book.pages}
1522
+ { pages empty$
1523
+ { "" }
1524
+ { bst.pages.pre pages * bst.pages.post * }
1525
+ if$
1526
+ }
1527
+
1528
+ %%% Attach tie for the string with two or less characters.
1529
+ FUNCTION {tie.or.space.connect}
1530
+ { duplicate$ text.length$ #3 <
1531
+ { "~" }
1532
+ { " " }
1533
+ if$
1534
+ swap$ * *
1535
+ }
1536
+
1537
+ FUNCTION {either.or.check}
1538
+ { empty$
1539
+ 'pop$
1540
+ { "can't use both " swap$ * " fields in " * cite$ * warning$ }
1541
+ if$
1542
+ }
1543
+
1544
+ %%% volume for book
1545
+ FUNCTION {format.bvolume}
1546
+ { volume empty$
1547
+ { "" }
1548
+ % { bst.volume.pre volume * bst.volume.post *
1549
+ { " Volume " volume * "." *
1550
+ series empty$
1551
+ 'skip$
1552
+ %% If there is series field
1553
+ { " of " * series * bst.series.post * }
1554
+ if$
1555
+ % "volume and number" number either.or.check
1556
+ }
1557
+ if$
1558
+ }
1559
+
1560
+ %%% series
1561
+ FUNCTION {output.series}
1562
+ { series empty$
1563
+ { "" }
1564
+ { bst.series.pre series * bst.series.post * }
1565
+ if$
1566
+ }
1567
+
1568
+ %%% number and series
1569
+ FUNCTION {format.number.series}
1570
+ { volume empty$
1571
+ { number empty$
1572
+ bst.hide.month #0 = not or
1573
+ % number is empty
1574
+ { series empty$
1575
+ { "" }
1576
+ % series is not empty.
1577
+ { output.series }
1578
+ if$
1579
+ }
1580
+ % number is not empty$
1581
+ { series empty$
1582
+ { bst.number.pre number * bst.number.post * }
1583
+ % series is not empty.
1584
+ { bst.in bst.series.pre * series * bst.series.post *
1585
+ bst.number.pre * number * bst.number.post * }
1586
+ if$
1587
+ }
1588
+ if$
1589
+ }
1590
+ { "" }
1591
+ if$
1592
+ }
1593
+
1594
+ %%% Number or not.
1595
+ FUNCTION {is.num}
1596
+ { chr.to.int$
1597
+ duplicate$ "0" chr.to.int$ < not
1598
+ swap$ "9" chr.to.int$ > not and
1599
+ }
1600
+
1601
+ FUNCTION {extract.num}
1602
+ { duplicate$ 't :=
1603
+ "" 's :=
1604
+ { t empty$ not }
1605
+ { t #1 #1 substring$
1606
+ t #2 global.max$ substring$ 't :=
1607
+ duplicate$ is.num
1608
+ { s swap$ * 's := }
1609
+ { pop$ "" 't := }
1610
+ if$
1611
+ }
1612
+ while$
1613
+ s empty$
1614
+ 'skip$
1615
+ { pop$ s }
1616
+ if$
1617
+ }
1618
+
1619
+ %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
1620
+ %% edition
1621
+
1622
+ % Convert edition to 1st, 2nd, 3rd, 4th etc
1623
+ FUNCTION {eng.ord}
1624
+ { duplicate$ "1" swap$ *
1625
+ #-2 #1 substring$ "1" =
1626
+ { bst.th * }
1627
+ { duplicate$ #-1 #1 substring$
1628
+ duplicate$ "1" =
1629
+ { pop$ bst.st * }
1630
+ { duplicate$ "2" =
1631
+ { pop$ bst.nd * }
1632
+ { "3" =
1633
+ { bst.rd * }
1634
+ { bst.th * }
1635
+ if$
1636
+ }
1637
+ if$
1638
+ }
1639
+ if$
1640
+ }
1641
+ if$
1642
+ }
1643
+
1644
+ % Convert first, second etc in edition field to 1st, 2nd (from jfm.bst)
1645
+ FUNCTION {convert.edition}
1646
+ { edition extract.num "l" change.case$ 's :=
1647
+ s "first" = s "1" = or
1648
+ { bst.first }
1649
+ { s "second" = s "2" = or
1650
+ { bst.second }
1651
+ { s "third" = s "3" = or
1652
+ { bst.third }
1653
+ { s "fourth" = s "4" = or
1654
+ { bst.fourth }
1655
+ { s "fifth" = s "5" = or
1656
+ { bst.fifth }
1657
+ { s #1 #1 substring$ is.num
1658
+ { s eng.ord }
1659
+ { edition }
1660
+ if$
1661
+ }
1662
+ if$
1663
+ }
1664
+ if$
1665
+ }
1666
+ if$
1667
+ }
1668
+ if$
1669
+ }
1670
+ if$
1671
+ }
1672
+
1673
+ %%% edition
1674
+ FUNCTION {format.edition}
1675
+ { edition empty$
1676
+ { "" }
1677
+ { output.state mid.sentence =
1678
+ { bst.edition.pre convert.edition "l" change.case$ * bst.edition.post * }
1679
+ { bst.edition.pre convert.edition "t" change.case$ * bst.edition.post * }
1680
+ if$
1681
+ }
1682
+ if$
1683
+ }
1684
+
1685
+ %%% month
1686
+ FUNCTION {format.month}
1687
+ { month empty$
1688
+ bst.hide.month #0 = not or
1689
+ { "" }
1690
+ { bst.month.pre month * bst.month.post * }
1691
+ if$
1692
+ }
1693
+
1694
+ %%% year and month
1695
+ FUNCTION {format.date}
1696
+ { format.month format.year *
1697
+ }
1698
+
1699
+ %%% Is multiple pages like 1-100?
1700
+ FUNCTION { multi.page.check }
1701
+ { 't :=
1702
+ #0 'multiresult :=
1703
+ { multiresult not
1704
+ t empty$ not
1705
+ and
1706
+ }
1707
+ { t #1 #1 substring$
1708
+ duplicate$ "-" =
1709
+ swap$ duplicate$ "," =
1710
+ swap$ "+" =
1711
+ or or
1712
+ { #1 'multiresult := }
1713
+ { t #2 global.max$ substring$ 't := }
1714
+ if$
1715
+ }
1716
+ while$
1717
+ multiresult
1718
+ }
1719
+
1720
+ %%% pages
1721
+ FUNCTION {format.pages}
1722
+ { pages empty$
1723
+ { "" }
1724
+ { pages multi.page.check
1725
+ { bst.pages.pre pages n.dashify tie.or.space.connect * bst.pages.post }
1726
+ { bst.page.pre pages tie.or.space.connect * bst.page.post }
1727
+ if$
1728
+ }
1729
+ if$
1730
+ }
1731
+
1732
+ %%% number
1733
+ FUNCTION {format.number}
1734
+ { number empty$
1735
+ bst.hide.number #0 = not or
1736
+ { "" }
1737
+ { bst.number.pre number * bst.number.post * }
1738
+ if$
1739
+ }
1740
+
1741
+ %%% volume
1742
+ FUNCTION {format.volume}
1743
+ { volume empty$
1744
+ 'skip$
1745
+ { bst.volume.pre volume * bst.volume.post *
1746
+ bst.year.position #3 =
1747
+ { format.year * }
1748
+ 'skip$
1749
+ if$
1750
+ }
1751
+ if$
1752
+ }
1753
+
1754
+ %%% number, page
1755
+ FUNCTION {format.number.pages}
1756
+ { number empty$
1757
+ { format.pages }
1758
+ { format.number format.pages * }
1759
+ if$
1760
+ }
1761
+
1762
+ %%% volume, page
1763
+ FUNCTION {format.volume.pages}
1764
+ { volume empty$
1765
+ { format.pages }
1766
+ { format.volume format.pages * }
1767
+ if$
1768
+ }
1769
+
1770
+ %%% volume, number, page
1771
+ FUNCTION {format.volume.number.pages}
1772
+ { volume empty$
1773
+ { number empty$
1774
+ { format.pages }
1775
+ { format.number format.pages * }
1776
+ if$
1777
+ }
1778
+ { number empty$
1779
+ { format.volume format.pages * }
1780
+ { format.volume format.number * format.pages * }
1781
+ if$
1782
+ }
1783
+ if$
1784
+ }
1785
+
1786
+ % volume, number, page
1787
+ FUNCTION {format.vol.num.pages}
1788
+ { volume empty$
1789
+ %% volume is empty.
1790
+ { number empty$
1791
+ %% number is empty.
1792
+ { pages empty$
1793
+ % warning
1794
+ { "there is no volume, number, and pages in " cite$ * warning$ "" }
1795
+ { "" format.pages * }
1796
+ if$
1797
+ }
1798
+ %% number is not empty.
1799
+ % warning
1800
+ { "there's a number but no volume in " cite$ * warning$
1801
+ format.number.pages }
1802
+ if$
1803
+ }
1804
+ %% volume is not empty.
1805
+ { number empty$
1806
+ %% number is empty.
1807
+ { format.volume.pages }
1808
+ %% number is not empty.
1809
+ { format.volume.number.pages }
1810
+ if$
1811
+ }
1812
+ if$
1813
+ }
1814
+
1815
+ %%% chapter
1816
+ FUNCTION {format.chapter}
1817
+ { chapter empty$
1818
+ { "" }
1819
+ { type empty$
1820
+ { bst.chapter.pre chapter tie.or.space.connect * bst.chapter.post }
1821
+ { ", " * type " " * chapter * }
1822
+ if$
1823
+ }
1824
+ if$
1825
+ }
1826
+
1827
+ %%% chapter, pages
1828
+ FUNCTION {format.chapter.pages}
1829
+ { chapter empty$
1830
+ { pages empty$
1831
+ { "" }
1832
+ { "" format.pages * }
1833
+ if$
1834
+ }
1835
+ { pages empty$
1836
+ { "" format.chapter * }
1837
+ { "" format.chapter * format.pages * }
1838
+ if$
1839
+ }
1840
+ if$
1841
+ }
1842
+
1843
+ %%% editor and booktitle
1844
+ FUNCTION {format.in.ed.booktitle}
1845
+ { booktitle empty$
1846
+ { "" }
1847
+ { editor empty$
1848
+ { bst.in format.btitle * }
1849
+ { bst.editor.btitle.order #0 =
1850
+ { bst.in format.editors.x * " " * format.btitle * }
1851
+ { bst.in format.btitle * " " * format.editors.x * }
1852
+ if$
1853
+ }
1854
+ if$
1855
+ }
1856
+ if$
1857
+ }
1858
+
1859
+ %%% howpublished
1860
+ FUNCTION {format.howpublished}
1861
+ { howpublished empty$
1862
+ { "" }
1863
+ { bst.howpublished.pre howpublished * bst.howpublished.post * }
1864
+ if$
1865
+ }
1866
+
1867
+ %%% address
1868
+ FUNCTION {format.address}
1869
+ { address empty$
1870
+ { "" }
1871
+ { bst.address.pre address * bst.address.post * }
1872
+ if$
1873
+ }
1874
+
1875
+ %%% publisher
1876
+ FUNCTION {format.publisher}
1877
+ { publisher empty$
1878
+ { "" }
1879
+ { address empty$
1880
+ { ", " publisher * bst.publisher.post * }
1881
+ { bst.publisher.pre publisher * bst.publisher.post * }
1882
+ if$
1883
+ }
1884
+ if$
1885
+ }
1886
+
1887
+ %%% organization
1888
+ FUNCTION {format.organization}
1889
+ { organization empty$
1890
+ { "" }
1891
+ { bst.organization.pre organization * bst.organization.post * }
1892
+ if$
1893
+ }
1894
+
1895
+ %% publisher and address
1896
+ FUNCTION {output.publisher.address}
1897
+ { address empty$
1898
+ { format.publisher "publisher" output.check.nocomma }
1899
+ { bst.address.position #0 =
1900
+ { format.address output.nocomma
1901
+ format.publisher "publisher" output.check.nocomma }
1902
+ { format.publisher "publisher" output.check.nocomma
1903
+ format.address output.nocomma }
1904
+ if$
1905
+ }
1906
+ if$
1907
+ }
1908
+
1909
+ %% address, organization, publisher
1910
+ FUNCTION {output.address.organization.publisher}
1911
+ { address empty$
1912
+ %% address is empty
1913
+ { organization empty$
1914
+ %% organization is empty
1915
+ { publisher empty$
1916
+ 'skip$
1917
+ { format.publisher "publisher" output.check.nocomma }
1918
+ if$
1919
+ }
1920
+ %% organization is not empty
1921
+ { publisher empty$
1922
+ { format.organization "organization" output.check.nocomma }
1923
+ { format.organization "organization" output.check.nocomma
1924
+ format.publisher "publisher" output.check.nocomma }
1925
+ if$
1926
+ }
1927
+ if$
1928
+ }
1929
+ %% address is not empty
1930
+ { organization empty$
1931
+ %% organization is empty
1932
+ { publisher empty$
1933
+ %% publisher is empty
1934
+ { format.address output.nocomma }
1935
+ %% publisher is not empty
1936
+ { bst.address.position #0 =
1937
+ { format.address output.nocomma
1938
+ format.publisher "publisher" output.check.nocomma }
1939
+ { format.publisher "publisher" output.check.nocomma
1940
+ format.address output.nocomma }
1941
+ if$
1942
+ }
1943
+ if$
1944
+ }
1945
+ %% organization is not empty
1946
+ { publisher empty$
1947
+ %% publisher is empty
1948
+ { format.organization "organization" output.check.nocomma
1949
+ format.address output.nocomma }
1950
+ %% publisher is not empty
1951
+ { format.organization "organization" output.check.nocomma
1952
+ bst.address.position #0 =
1953
+ { format.address output.nocomma
1954
+ format.publisher "publisher" output.check.nocomma }
1955
+ { format.publisher "publisher" output.check.nocomma
1956
+ format.address output.nocomma }
1957
+ if$
1958
+ }
1959
+ if$
1960
+ }
1961
+ if$
1962
+ }
1963
+ if$
1964
+ }
1965
+
1966
+ %%% misc
1967
+ FUNCTION {empty.misc.check}
1968
+ { author empty$ title empty$ howpublished empty$
1969
+ month empty$ year empty$ note empty$
1970
+ and and and and and
1971
+ key empty$ not and
1972
+ { "all relevant fields are empty in " cite$ * warning$ }
1973
+ 'skip$
1974
+ if$
1975
+ }
1976
+
1977
+ FUNCTION {format.thesis.type}
1978
+ { type empty$
1979
+ 'skip$
1980
+ { pop$ " " type * }
1981
+ if$
1982
+ }
1983
+
1984
+ FUNCTION {format.tr.number}
1985
+ { type empty$
1986
+ { bst.techrep }
1987
+ { " " type * }
1988
+ if$
1989
+ number empty$
1990
+ { "t" change.case$ }
1991
+ { number tie.or.space.connect }
1992
+ if$
1993
+ }
1994
+
1995
+ %%% phdthesis
1996
+ FUNCTION {format.phd}
1997
+ { bst.phdthesis }
1998
+
1999
+ %%% mastersthesis
2000
+ FUNCTION {format.mthesis}
2001
+ { bst.mthesis }
2002
+
2003
+ %%% school
2004
+ FUNCTION {format.school}
2005
+ { school empty$
2006
+ { "" }
2007
+ { bst.school.pre school * bst.school.post * }
2008
+ if$
2009
+ }
2010
+
2011
+ %%% institution
2012
+ FUNCTION {format.institution}
2013
+ { institution empty$
2014
+ { "" }
2015
+ { bst.institution.pre institution * bst.institution.post * }
2016
+ if$
2017
+ }
2018
+
2019
+ %%% remove first ? characters.
2020
+ FUNCTION {chop.word}
2021
+ { 's :=
2022
+ 'len :=
2023
+ s #1 len substring$ =
2024
+ { s len #1 + global.max$ substring$ }
2025
+ 's
2026
+ if$
2027
+ }
2028
+
2029
+ FUNCTION {format.note}
2030
+ { note empty$
2031
+ { "" }
2032
+ { bst.note.pre note * bst.note.post * }
2033
+ if$
2034
+ }
2035
+
2036
+ %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
2037
+ % \havarditem
2038
+
2039
+ FUNCTION {output.bibitem}
2040
+ { newline$
2041
+ "\harvarditem[" write$
2042
+ alabel write$ % alabel <- abbreviated citation
2043
+ "]{" write$
2044
+ flabel write$ % flabel <- full citation
2045
+ "}{" write$
2046
+ cyear write$
2047
+ % cyear = year
2048
+ "}{" write$
2049
+ cite$ write$ % cite$ -> pusch keyword
2050
+ "}" write$
2051
+ % If number index is on
2052
+ bst.use.number.index #0 =
2053
+ 'skip$
2054
+ { index #1 + 'index :=
2055
+ "" 'preone :=
2056
+ "" 'preten :=
2057
+ bst.number.index.digit "1" =
2058
+ 'skip$
2059
+ { bst.number.index.digit "2" =
2060
+ { "\hskip0.5em" 'preone := }
2061
+ { bst.number.index.digit "3" =
2062
+ { "\hskip1em" 'preone :=
2063
+ "\hskip0.5em" 'preten := }
2064
+ 'skip$
2065
+ if$
2066
+ }
2067
+ if$
2068
+ }
2069
+ if$
2070
+ }
2071
+ if$
2072
+ newline$
2073
+ before.all 'output.state :=
2074
+ ""
2075
+ % number index
2076
+ bst.use.number.index #0 =
2077
+ 'skip$
2078
+ { index #10 <
2079
+ % Insert spaces according to digit of number index.
2080
+ { preone }
2081
+ { index #100 <
2082
+ { preten }
2083
+ { "" }
2084
+ if$
2085
+ }
2086
+ if$
2087
+ bst.number.index.pre * index int.to.str$ * bst.number.index.post * write$
2088
+ }
2089
+ if$
2090
+ }
2091
+
2092
+ %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
2093
+ % article
2094
+
2095
+ FUNCTION {article}
2096
+ { output.bibitem
2097
+ format.authors "author" output.check.nocomma
2098
+ bst.year.position #0 =
2099
+ { format.year "year" output.check.nocomma }
2100
+ 'skip$
2101
+ if$
2102
+ format.title "title" output.check.nocomma
2103
+
2104
+ format.journal "journal" output.check.nocomma
2105
+ bst.year.position #2 =
2106
+ { format.date output.nocomma }
2107
+ 'skip$
2108
+ if$
2109
+ format.vol.num.pages output.nocomma
2110
+
2111
+ bst.year.position #1 =
2112
+ { format.date output.nocomma }
2113
+ 'skip$
2114
+ if$
2115
+
2116
+ format.url.doi output.nocomma
2117
+
2118
+ format.note output.nocomma
2119
+ fin.entry
2120
+ }
2121
+
2122
+ %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
2123
+ % book
2124
+
2125
+ FUNCTION {book}
2126
+ { output.bibitem
2127
+ author empty$
2128
+ { format.editors "author and editor" output.check.nocomma }
2129
+ { format.authors output.nonnull.nocomma
2130
+ "author and editor" editor either.or.check
2131
+ }
2132
+ if$
2133
+ bst.year.position #0 =
2134
+ { format.year "year" output.check.nocomma }
2135
+ 'skip$
2136
+ if$
2137
+ format.book "title" output.check.nocomma
2138
+
2139
+ format.bvolume output.nocomma
2140
+ format.number.series output.nocomma
2141
+ output.publisher.address
2142
+
2143
+ format.edition output.nocomma
2144
+ format.book.pages output.nocomma
2145
+
2146
+ bst.year.position #0 = not
2147
+ { format.year "year" output.check.nocomma }
2148
+ 'skip$
2149
+ if$
2150
+
2151
+ format.url.doi output.nocomma
2152
+
2153
+ format.note output.nocomma
2154
+ fin.entry
2155
+ }
2156
+
2157
+ %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
2158
+ % booklet
2159
+
2160
+ FUNCTION {booklet}
2161
+ { output.bibitem
2162
+ format.authors output.nocomma
2163
+ format.year output.nocomma
2164
+ format.misc.title "title" output.check.nocomma
2165
+ format.howpublished output.nocomma
2166
+ format.address output.nocomma
2167
+
2168
+ format.url.doi output.nocomma
2169
+
2170
+ format.note output.nocomma
2171
+ fin.entry
2172
+ }
2173
+
2174
+ %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
2175
+ % inbook
2176
+
2177
+ FUNCTION {inbook}
2178
+ { output.bibitem
2179
+ author empty$
2180
+ { format.editors "author and editor" output.check.nocomma }
2181
+ { format.authors output.nonnull.nocomma
2182
+ "author and editor" editor either.or.check
2183
+ }
2184
+ if$
2185
+ bst.year.position #0 =
2186
+ { format.year "year" output.check.nocomma }
2187
+ 'skip$
2188
+ if$
2189
+ % format.book remove.pre.comma "title" output.check.nocomma
2190
+ format.book "title" output.check.nocomma
2191
+ format.edition output.nocomma
2192
+
2193
+ format.bvolume output.nocomma
2194
+ format.chapter.pages "chapter and pages" output.check.nocomma
2195
+ format.number.series output.nocomma
2196
+ output.publisher.address
2197
+
2198
+ bst.year.position #0 = not
2199
+ { format.year "year" output.check.nocomma }
2200
+ 'skip$
2201
+ if$
2202
+
2203
+ format.url.doi output.nocomma
2204
+
2205
+ format.note output.nocomma
2206
+ fin.entry
2207
+ }
2208
+
2209
+ %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
2210
+ % incollection
2211
+
2212
+ FUNCTION {incollection}
2213
+ { output.bibitem
2214
+ format.authors "author" output.check.nocomma
2215
+ bst.year.position #0 =
2216
+ { format.year "year" output.check.nocomma }
2217
+ 'skip$
2218
+ if$
2219
+ format.title "title" output.check.nocomma
2220
+
2221
+ format.in.ed.booktitle "booktitle" output.check.nocomma
2222
+ format.bvolume output.nocomma
2223
+ format.edition output.nocomma
2224
+ format.chapter.pages output.nocomma
2225
+ output.address.organization.publisher
2226
+
2227
+ bst.year.position #0 = not
2228
+ { format.year "year" output.check.nocomma }
2229
+ 'skip$
2230
+ if$
2231
+
2232
+ format.url.doi output.nocomma
2233
+
2234
+ format.note output.nocomma
2235
+ fin.entry
2236
+ }
2237
+
2238
+ %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
2239
+ % inproceedings
2240
+
2241
+ FUNCTION {inproceedings}
2242
+ { output.bibitem
2243
+ format.authors "author" output.check.nocomma
2244
+ bst.year.position #0 =
2245
+ { format.year "year" output.check.nocomma }
2246
+ 'skip$
2247
+ if$
2248
+ format.title "title" output.check.nocomma
2249
+
2250
+ format.in.ed.booktitle "booktitle" output.check.nocomma
2251
+ format.bvolume output.nocomma
2252
+ format.number.series output.nocomma
2253
+ format.pages output.nocomma
2254
+ output.address.organization.publisher
2255
+
2256
+ bst.year.position #0 = not
2257
+ { format.date output.nocomma }
2258
+ { format.month output.nocomma }
2259
+ if$
2260
+
2261
+ format.url.doi output.nocomma
2262
+
2263
+ format.note output.nocomma
2264
+ fin.entry
2265
+ }
2266
+
2267
+ %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
2268
+ % conference
2269
+
2270
+ FUNCTION {conference}
2271
+ { inproceedings }
2272
+
2273
+ %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
2274
+ % manual
2275
+ FUNCTION {manual}
2276
+ { output.bibitem
2277
+ author empty$
2278
+ { organization empty$
2279
+ 'skip$
2280
+ { organization output.nonnull.nocomma
2281
+ address output.nocomma
2282
+ }
2283
+ if$
2284
+ }
2285
+ { format.authors output.nonnull.nocomma }
2286
+ if$
2287
+ bst.year.position #0 =
2288
+ { format.year "year" output.check.nocomma }
2289
+ 'skip$
2290
+ if$
2291
+ format.book "title" output.check.nocomma
2292
+ author empty$
2293
+ { organization empty$
2294
+ { format.address new.block.check
2295
+ format.address output.nocomma
2296
+ }
2297
+ 'skip$
2298
+ if$
2299
+ }
2300
+ { output.address.organization.publisher }
2301
+ if$
2302
+ format.edition output.nocomma
2303
+
2304
+ bst.year.position #0 = not
2305
+ { format.year "year" output.check.nocomma }
2306
+ 'skip$
2307
+ if$
2308
+
2309
+ format.url.doi output.nocomma
2310
+
2311
+ format.note output.nocomma
2312
+ fin.entry
2313
+ }
2314
+
2315
+ %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
2316
+ % mastersthesis
2317
+
2318
+ FUNCTION {mastersthesis}
2319
+ { output.bibitem
2320
+ format.authors "author" output.check.nocomma
2321
+ bst.year.position #0 =
2322
+ { format.year "year" output.check.nocomma }
2323
+ 'skip$
2324
+ if$
2325
+ format.title "title" output.check.nocomma
2326
+ format.mthesis format.thesis.type output.nonnull.nocomma
2327
+ format.school "school" output.check.nocomma
2328
+ format.address output.nocomma
2329
+
2330
+ bst.year.position #0 = not
2331
+ { format.year "year" output.check.nocomma }
2332
+ 'skip$
2333
+ if$
2334
+
2335
+ format.url.doi output.nocomma
2336
+
2337
+ format.note output.nocomma
2338
+ fin.entry
2339
+ }
2340
+
2341
+ %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
2342
+ % misc
2343
+
2344
+ FUNCTION {misc}
2345
+ { output.bibitem
2346
+ format.authors "author" output.check.nocomma
2347
+ bst.year.position #0 =
2348
+ { format.year "year" output.check.nocomma }
2349
+ 'skip$
2350
+ if$
2351
+ format.misc.title output.nocomma
2352
+ format.howpublished output.nocomma
2353
+
2354
+ bst.year.position #0 = not
2355
+ { format.date output.nocomma }
2356
+ { format.month output.nocomma }
2357
+ if$
2358
+
2359
+ format.url.doi output.nocomma
2360
+
2361
+ format.note output.nocomma
2362
+ fin.entry
2363
+ empty.misc.check
2364
+ }
2365
+
2366
+ %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
2367
+ % Online
2368
+
2369
+ FUNCTION {online}
2370
+ { output.bibitem
2371
+ format.authors "author" output.check.nocomma
2372
+ bst.year.position #0 =
2373
+ { format.year "year" output.check.nocomma }
2374
+ 'skip$
2375
+ if$
2376
+ format.misc.title output.nocomma
2377
+ format.howpublished output.nocomma
2378
+
2379
+ bst.year.position #0 = not
2380
+ { format.date output.nocomma }
2381
+ { format.month output.nocomma }
2382
+ if$
2383
+
2384
+ format.url.doi output.nocomma
2385
+
2386
+ format.note output.nocomma
2387
+ fin.entry
2388
+ empty.misc.check
2389
+ }
2390
+
2391
+ %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
2392
+ % phdthesis
2393
+
2394
+ FUNCTION {phdthesis}
2395
+ { output.bibitem
2396
+ format.authors "author" output.check.nocomma
2397
+ bst.year.position #0 =
2398
+ { format.year "year" output.check.nocomma }
2399
+ 'skip$
2400
+ if$
2401
+ format.book "title" output.check.nocomma
2402
+ format.phd
2403
+ format.thesis.type output.nonnull.nocomma
2404
+ format.school "school" output.check.nocomma
2405
+ address empty$
2406
+ 'skip$
2407
+ { format.address output.nocomma }
2408
+ if$
2409
+
2410
+ bst.year.position #0 = not
2411
+ { format.year "year" output.check.nocomma }
2412
+ 'skip$
2413
+ if$
2414
+
2415
+ format.url.doi output.nocomma
2416
+
2417
+ format.note output.nocomma
2418
+ fin.entry
2419
+ }
2420
+
2421
+ %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
2422
+ % proceedings
2423
+
2424
+ FUNCTION {proceedings}
2425
+ { output.bibitem
2426
+ editor empty$
2427
+ { organization output.nocomma }
2428
+ { format.editors output.nonnull.nocomma }
2429
+ if$
2430
+ bst.year.position #0 =
2431
+ { format.year "year" output.check.nocomma }
2432
+ 'skip$
2433
+ if$
2434
+ format.btitle remove.pre.comma "title" output.check.nocomma
2435
+ format.bvolume output.nocomma
2436
+ format.number.series output.nocomma
2437
+ output.address.organization.publisher
2438
+
2439
+ bst.year.position #0 = not
2440
+ { format.year "year" output.check.nocomma }
2441
+ 'skip$
2442
+ if$
2443
+
2444
+ format.url.doi output.nocomma
2445
+
2446
+ format.note output.nocomma
2447
+ fin.entry
2448
+ }
2449
+
2450
+ %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
2451
+ % techreport
2452
+
2453
+ FUNCTION {techreport}
2454
+ { output.bibitem
2455
+ format.authors "author" output.check.nocomma
2456
+ bst.year.position #0 =
2457
+ { format.year "year" output.check.nocomma }
2458
+ 'skip$
2459
+ if$
2460
+ format.title "title" output.check.nocomma
2461
+ format.tr.number output.nonnull.nocomma
2462
+ format.institution "institution" output.check.nocomma
2463
+ format.address output.nocomma
2464
+
2465
+ bst.year.position #0 = not
2466
+ { format.year "year" output.check.nocomma }
2467
+ 'skip$
2468
+ if$
2469
+
2470
+ format.url.doi output.nocomma
2471
+
2472
+ format.note output.nocomma
2473
+ fin.entry
2474
+ }
2475
+
2476
+ %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
2477
+ % unpublished
2478
+
2479
+ FUNCTION {unpublished}
2480
+ { output.bibitem
2481
+ format.authors "author" output.check.nocomma
2482
+ bst.year.position #0 =
2483
+ { format.year "year" output.check.nocomma }
2484
+ 'skip$
2485
+ if$
2486
+ format.title "title" output.check.nocomma
2487
+
2488
+ bst.year.position #0 = not
2489
+ { format.date remove.pre.comma output.nocomma }
2490
+ { month empty$
2491
+ 'skip$
2492
+ { format.month remove.pre.comma output.nocomma }
2493
+ if$
2494
+ }
2495
+ if$
2496
+
2497
+ format.url.doi output.nocomma
2498
+
2499
+ format.note "note" output.check.nocomma
2500
+ fin.entry
2501
+ }
2502
+
2503
+ FUNCTION {default.type}
2504
+ { misc }
2505
+
2506
+ %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
2507
+ % Alias for month names:
2508
+
2509
+ MACRO {jan} {"January"}
2510
+ MACRO {feb} {"February"}
2511
+ MACRO {mar} {"March"}
2512
+ MACRO {apr} {"April"}
2513
+ MACRO {may} {"May"}
2514
+ MACRO {jun} {"June"}
2515
+ MACRO {jul} {"July"}
2516
+ MACRO {aug} {"August"}
2517
+ MACRO {sep} {"September"}
2518
+ MACRO {oct} {"October"}
2519
+ MACRO {nov} {"November"}
2520
+ MACRO {dec} {"December"}
2521
+
2522
+ %%% Read entries:
2523
+ READ
2524
+
2525
+ %%% Variable for remembering the order of citation.
2526
+ INTEGERS { order.num }
2527
+ FUNCTION {initialize.order.num}
2528
+ {
2529
+ #1 'order.num :=
2530
+ }
2531
+ %%% Initialize a variables
2532
+ EXECUTE {initialize.order.num}
2533
+
2534
+ %%% Variable for remembering the order of citation.
2535
+ FUNCTION {set.order.cited}
2536
+ {
2537
+ order.num 'order.cited :=
2538
+ #1 order.num + 'order.num :=
2539
+ }
2540
+ %%% Iterate for all entries:
2541
+ ITERATE {set.order.cited}
2542
+
2543
+ %%% check the value of nameorder field.
2544
+ FUNCTION {set.nameorder}
2545
+ { nameorder empty$
2546
+ { "" 'nameorder.temp := }
2547
+ { nameorder 'nameorder.temp := }
2548
+ if$
2549
+ }
2550
+ %%% Iterate for all entries:
2551
+ ITERATE {set.nameorder}
2552
+
2553
+ %%% Remove symbols and convert to lowercase.
2554
+ FUNCTION {sortify}
2555
+ { purify$ "l" change.case$ }
2556
+
2557
+ %%% names for sorting
2558
+ FUNCTION {sort.format.names}
2559
+ { 's :=
2560
+ #1 'nameptr :=
2561
+ ""
2562
+ s num.names$ 'numnames :=
2563
+ numnames 'namesleft :=
2564
+ { namesleft #0 > }
2565
+ { nameptr #1 >
2566
+ { ", " * }
2567
+ 'skip$
2568
+ if$
2569
+ s nameptr "{ll}{ f}{ j}" format.name$ 't :=
2570
+ nameptr numnames = t "others" = and
2571
+ { bst.and.others.output *}
2572
+ { t sortify * }
2573
+ if$
2574
+ nameptr #1 + 'nameptr :=
2575
+ namesleft #1 - 'namesleft :=
2576
+ }
2577
+ while$
2578
+ }
2579
+
2580
+ FUNCTION {sort.format.names.abb}
2581
+ { 's :=
2582
+ s num.names$ 'numnames :=
2583
+ numnames bst.and.others.num <
2584
+ { s sort.format.names }
2585
+ { s #1 "{ll}{ f}{ j}" format.name$ " zz " * }
2586
+ if$
2587
+ }
2588
+
2589
+ %%% Label for full author name.
2590
+ FUNCTION {format.lab.names.full}
2591
+ { 's :=
2592
+ #1 'nameptr :=
2593
+ s num.names$ 'numnames :=
2594
+ numnames 'namesleft :=
2595
+ { namesleft #0 > }
2596
+ { s nameptr "{vv~}{ll}" format.name$ 't :=
2597
+ nameptr #1 >
2598
+ { namesleft #1 >
2599
+ { nameorder.temp "random" = bst.use.nameorder #0 = not and
2600
+ { bst.and.nameorder * t * }
2601
+ { ", " * t * }
2602
+ if$
2603
+ }
2604
+ { t "others" =
2605
+ { bst.and.others.output * }
2606
+ { numnames #2 >
2607
+ { nameorder.temp "random" = bst.use.nameorder #0 = not and
2608
+ { bst.cite.and.nameorder * t * }
2609
+ { bst.cite.ands * t * }
2610
+ if$
2611
+ }
2612
+ { nameorder.temp "random" = bst.use.nameorder #0 = not and
2613
+ { bst.cite.and.nameorder * t * }
2614
+ { bst.cite.and * t * }
2615
+ if$
2616
+ }
2617
+ if$
2618
+ }
2619
+ if$
2620
+ }
2621
+ if$
2622
+ }
2623
+ 't
2624
+ if$
2625
+ nameptr #1 + 'nameptr :=
2626
+ namesleft #1 - 'namesleft :=
2627
+ }
2628
+ while$
2629
+ numnames #1 > #1 #2 = and {", eds" *} {} if$
2630
+ numnames #1 = #1 #2 = and {", ed" *} {} if$
2631
+ }
2632
+
2633
+ %%% laberl for abbreviated author name.
2634
+ FUNCTION {format.lab.names.abb}
2635
+ { 's :=
2636
+ s num.names$ 'numnames :=
2637
+ numnames bst.and.others.num <
2638
+ % if the number of authors is less than bst.and.others.num, full name.
2639
+ { s format.lab.names.full }
2640
+ % if the number of authors is equal or more than bst.and.others.num, abbreviated name.
2641
+ { s #1 "{ll}" format.name$ bst.and.others.output * }
2642
+ if$
2643
+ }
2644
+
2645
+ %%% abbreviated author
2646
+ FUNCTION {author.key.label.abb}
2647
+ { author empty$
2648
+ { key empty$
2649
+ { cite$ #1 #3 substring$ }
2650
+ { key #3 text.prefix$ }
2651
+ if$
2652
+ }
2653
+ { author format.lab.names.abb }
2654
+ if$
2655
+ }
2656
+
2657
+ %%% full author
2658
+ FUNCTION {author.key.label.full}
2659
+ { author empty$
2660
+ { key empty$
2661
+ { cite$ #1 #3 substring$ }
2662
+ { key #3 text.prefix$ }
2663
+ if$
2664
+ }
2665
+ { author format.lab.names.full }
2666
+ if$
2667
+ }
2668
+
2669
+ FUNCTION {format.names.full.wo.and}
2670
+ { 's :=
2671
+ #1 'nameptr :=
2672
+ s num.names$ 'numnames :=
2673
+ numnames 'namesleft :=
2674
+ { namesleft #0 > }
2675
+ { s nameptr "{ll}{, ff}{, jj}" format.name$ 't :=
2676
+ nameptr #1 >
2677
+ { namesleft #1 >
2678
+ { " " * t * }
2679
+ { t "others" =
2680
+ { " " * }
2681
+ { numnames #2 >
2682
+ { " " * t * }
2683
+ { " " * t * }
2684
+ if$
2685
+ }
2686
+ if$
2687
+ }
2688
+ if$
2689
+ }
2690
+ 't
2691
+ if$
2692
+ nameptr #1 + 'nameptr :=
2693
+ namesleft #1 - 'namesleft :=
2694
+ }
2695
+ while$
2696
+ }
2697
+
2698
+ FUNCTION {author.key.full.wo.and}
2699
+ { author empty$
2700
+ { key empty$
2701
+ { cite$ #1 #3 substring$ }
2702
+ { key #3 text.prefix$ }
2703
+ if$
2704
+ }
2705
+ { author format.names.full.wo.and }
2706
+ if$
2707
+ }
2708
+
2709
+ FUNCTION {author.editor.key.full.wo.and}
2710
+ { author empty$
2711
+ { editor empty$
2712
+ { key empty$
2713
+ { cite$ #1 #3 substring$ }
2714
+ { key #3 text.prefix$ }
2715
+ if$
2716
+ }
2717
+ { editor format.names.full.wo.and }
2718
+ if$
2719
+ }
2720
+ { author format.names.full.wo.and }
2721
+ if$
2722
+ }
2723
+
2724
+ FUNCTION {editor.key.organization.key.full.wo.and}
2725
+ { editor empty$
2726
+ { key empty$
2727
+ { organization empty$
2728
+ { cite$ #1 #3 substring$ }
2729
+ { "The " #4 organization chop.word #3 text.prefix$ }
2730
+ if$
2731
+ }
2732
+ { key #3 text.prefix$ }
2733
+ if$
2734
+ }
2735
+ { editor format.names.full.wo.and }
2736
+ if$
2737
+ }
2738
+
2739
+ FUNCTION {author.key.organization.key.full.wo.and}
2740
+ { author empty$
2741
+ { key empty$
2742
+ { organization empty$
2743
+ { cite$ #1 #3 substring$ }
2744
+ { "The " #4 organization chop.word #3 text.prefix$ }
2745
+ if$
2746
+ }
2747
+ { key #3 text.prefix$ }
2748
+ if$
2749
+ }
2750
+ { author format.names.full.wo.and }
2751
+ if$
2752
+ }
2753
+
2754
+ %%% abbreviated author
2755
+ FUNCTION {author.editor.key.label.abb}
2756
+ { author empty$
2757
+ { editor empty$
2758
+ { key empty$
2759
+ { cite$ #1 #3 substring$ }
2760
+ { key #3 text.prefix$ }
2761
+ if$
2762
+ }
2763
+ { editor format.lab.names.abb }
2764
+ if$
2765
+ }
2766
+ { author format.lab.names.abb }
2767
+ if$
2768
+ }
2769
+
2770
+ %%% full author
2771
+ FUNCTION {author.editor.key.label.full}
2772
+ { author empty$
2773
+ { editor empty$
2774
+ { key empty$
2775
+ { cite$ #1 #3 substring$ }
2776
+ { key #3 text.prefix$ }
2777
+ if$
2778
+ }
2779
+ { editor format.lab.names.full }
2780
+ if$
2781
+ }
2782
+ { author format.lab.names.full }
2783
+ if$
2784
+ }
2785
+
2786
+ FUNCTION {author.key.organization.label.full}
2787
+ { author empty$
2788
+ { key empty$
2789
+ { organization empty$
2790
+ { cite$ #1 #3 substring$ }
2791
+ { "The " #4 organization chop.word #3 text.prefix$ }
2792
+ if$
2793
+ }
2794
+ { key #3 text.prefix$ }
2795
+ if$
2796
+ }
2797
+ { author format.lab.names.full }
2798
+ if$
2799
+ }
2800
+
2801
+ FUNCTION {author.key.organization.label.abb}
2802
+ { author empty$
2803
+ { key empty$
2804
+ { organization empty$
2805
+ { cite$ #1 #3 substring$ }
2806
+ { "The " #4 organization chop.word #3 text.prefix$ }
2807
+ if$
2808
+ }
2809
+ { key #3 text.prefix$ }
2810
+ if$
2811
+ }
2812
+ { author format.lab.names.abb }
2813
+ if$
2814
+ }
2815
+
2816
+ FUNCTION {editor.key.organization.label.full}
2817
+ { editor empty$
2818
+ { key empty$
2819
+ { organization empty$
2820
+ { cite$ #1 #3 substring$ }
2821
+ { "The " #4 organization chop.word #3 text.prefix$ }
2822
+ if$
2823
+ }
2824
+ { key #3 text.prefix$ }
2825
+ if$
2826
+ }
2827
+ { editor format.lab.names.full }
2828
+ if$
2829
+ }
2830
+
2831
+ FUNCTION {editor.key.organization.label.abb}
2832
+ { editor empty$
2833
+ { key empty$
2834
+ { organization empty$
2835
+ { cite$ #1 #3 substring$ }
2836
+ { "The " #4 organization chop.word #3 text.prefix$ }
2837
+ if$
2838
+ }
2839
+ { key #3 text.prefix$ }
2840
+ if$
2841
+ }
2842
+ { editor format.lab.names.abb }
2843
+ if$
2844
+ }
2845
+
2846
+ %%% Convert numbers: 0->9, 1->8, 2->7,..., 9->0
2847
+ FUNCTION {reverse.num}
2848
+ { 's :=
2849
+ s "1" =
2850
+ { "8" 'year.num := }
2851
+ { s "2" =
2852
+ { "7" 'year.num := }
2853
+ { s "3" =
2854
+ { "6" 'year.num := }
2855
+ { s "4" =
2856
+ { "5" 'year.num := }
2857
+ { s "5" =
2858
+ { "4" 'year.num := }
2859
+ { s "6" =
2860
+ { "3" 'year.num := }
2861
+ { s "7" =
2862
+ { "2" 'year.num := }
2863
+ { s "8" =
2864
+ { "1" 'year.num := }
2865
+ { s "9" =
2866
+ { "0" 'year.num := }
2867
+ { s "0" =
2868
+ { "9" 'year.num := }
2869
+ { "9" 'year.num := }
2870
+ if$
2871
+ }
2872
+ if$
2873
+ }
2874
+ if$
2875
+ }
2876
+ if$
2877
+ }
2878
+ if$
2879
+ }
2880
+ if$
2881
+ }
2882
+ if$
2883
+ }
2884
+ if$
2885
+ }
2886
+ if$
2887
+ }
2888
+ if$
2889
+ year.num
2890
+ }
2891
+
2892
+ %%% Convert year (large number -> small number)
2893
+ FUNCTION {convert.year}
2894
+ { 't :=
2895
+ bst.reverse.year #0 =
2896
+ { t 'tt := }
2897
+ { t #1 #1 substring$ reverse.num
2898
+ t #2 #1 substring$ reverse.num *
2899
+ t #3 #1 substring$ reverse.num *
2900
+ t #4 #1 substring$ reverse.num * 'tt := }
2901
+ if$
2902
+ tt
2903
+ }
2904
+
2905
+ %%% cyear
2906
+ FUNCTION {calc.cyear}
2907
+ { type$ "book" =
2908
+ type$ "inbook" =
2909
+ or
2910
+ 'author.editor.key.full.wo.and
2911
+ { type$ "proceedings" =
2912
+ 'editor.key.organization.key.full.wo.and
2913
+ { type$ "manual" =
2914
+ 'author.key.organization.key.full.wo.and
2915
+ 'author.key.full.wo.and
2916
+ if$
2917
+ }
2918
+ if$
2919
+ }
2920
+ if$
2921
+ duplicate$
2922
+ year empty$
2923
+ { "2199" 'cyear := }
2924
+ { year 'cyear := }
2925
+ if$
2926
+ year empty$
2927
+ { " " "2199" convert.year * field.or.null * }
2928
+ { " " year convert.year * field.or.null * }
2929
+ if$
2930
+ sortify 'sort.label :=
2931
+ % For debug
2932
+ econ.debug #0 = not
2933
+ { "sort.label = ``\texttt{" write$
2934
+ sort.label write$
2935
+ "}''\\" write$
2936
+ newline$
2937
+ }
2938
+ 'skip$
2939
+ if$
2940
+ pop$
2941
+ }
2942
+
2943
+ FUNCTION {calc.sort.label.abb}
2944
+ { author empty$
2945
+ { editor empty$
2946
+ { "" }
2947
+ { editor 's := }
2948
+ if$
2949
+ }
2950
+ { author 's := }
2951
+ if$
2952
+ s sort.format.names.abb 't :=
2953
+ year empty$
2954
+ { t sortify " " * "2199" convert.year * 'sort.label.abb := }
2955
+ { t sortify " " * year convert.year * 'sort.label.abb := }
2956
+ if$
2957
+ econ.debug #0 = not
2958
+ { "sort.label.abb = ``\texttt{" write$
2959
+ sort.label.abb write$
2960
+ "}''\\" write$
2961
+ newline$
2962
+ }
2963
+ 'skip$
2964
+ if$
2965
+ }
2966
+
2967
+ %%% flabel
2968
+ FUNCTION {calc.flabel}
2969
+ { type$ "book" =
2970
+ type$ "inbook" =
2971
+ or
2972
+ 'author.editor.key.label.full
2973
+ { type$ "proceedings" =
2974
+ 'editor.key.organization.label.full
2975
+ { type$ "manual" =
2976
+ 'author.key.organization.label.full
2977
+ 'author.key.label.full
2978
+ if$
2979
+ }
2980
+ if$
2981
+ }
2982
+ if$
2983
+ 'flabel :=
2984
+ author empty$
2985
+ 'skip$
2986
+ { author num.names$ 'numnames :=
2987
+ numnames bst.max.author.num >
2988
+ { alabel 'flabel := }
2989
+ 'skip$
2990
+ if$
2991
+ }
2992
+ if$
2993
+ % For debug
2994
+ econ.debug #0 = not
2995
+ { "flabel = ``\texttt{" write$
2996
+ flabel write$
2997
+ "}''\\" write$
2998
+ newline$
2999
+ }
3000
+ 'skip$
3001
+ if$
3002
+ }
3003
+
3004
+ %%% alabel
3005
+ FUNCTION {calc.alabel}
3006
+ { type$ "book" =
3007
+ type$ "inbook" =
3008
+ or
3009
+ 'author.editor.key.label.abb
3010
+ { type$ "proceedings" =
3011
+ 'editor.key.organization.label.abb
3012
+ { type$ "manual" =
3013
+ 'author.key.organization.label.abb
3014
+ 'author.key.label.abb
3015
+ if$
3016
+ }
3017
+ if$
3018
+ }
3019
+ if$
3020
+ 'alabel :=
3021
+ % For debug
3022
+ econ.debug #0 = not
3023
+ { "alabel = ``\texttt{" write$
3024
+ alabel write$
3025
+ "}''\\" write$
3026
+ newline$
3027
+ }
3028
+ 'skip$
3029
+ if$
3030
+ }
3031
+
3032
+ %%% title for sorting
3033
+ FUNCTION {sort.format.title}
3034
+ { 't :=
3035
+ "A " #2
3036
+ "An " #3
3037
+ "The " #4 t chop.word
3038
+ chop.word
3039
+ chop.word
3040
+ sortify
3041
+ #1 global.max$ substring$
3042
+ }
3043
+
3044
+ %%% author for sorting
3045
+ FUNCTION {author.sort}
3046
+ { author empty$
3047
+ { key empty$
3048
+ { "to sort, need author or key in " cite$ * warning$
3049
+ ""
3050
+ }
3051
+ { key sortify }
3052
+ if$
3053
+ }
3054
+ { author sort.format.names }
3055
+ if$
3056
+ }
3057
+
3058
+ %%% editor for sorting
3059
+ FUNCTION {author.editor.sort}
3060
+ { author empty$
3061
+ { editor empty$
3062
+ { key empty$
3063
+ { "to sort, need author, editor, or key in " cite$ * warning$
3064
+ ""
3065
+ }
3066
+ { key sortify }
3067
+ if$
3068
+ }
3069
+ { editor sort.format.names }
3070
+ if$
3071
+ }
3072
+ { author sort.format.names }
3073
+ if$
3074
+ }
3075
+
3076
+ FUNCTION {author.organization.sort}
3077
+ { author empty$
3078
+ { organization empty$
3079
+ { key empty$
3080
+ { "to sort, need author, organization, or key in " cite$ * warning$
3081
+ ""
3082
+ }
3083
+ { key sortify }
3084
+ if$
3085
+ }
3086
+ { "The " #4 organization chop.word sortify }
3087
+ if$
3088
+ }
3089
+ { author sort.format.names }
3090
+ if$
3091
+ }
3092
+
3093
+ FUNCTION {editor.organization.sort}
3094
+ { editor empty$
3095
+ { organization empty$
3096
+ { key empty$
3097
+ { "to sort, need editor, organization, or key in " cite$ * warning$
3098
+ ""
3099
+ }
3100
+ { key sortify }
3101
+ if$
3102
+ }
3103
+ { "The " #4 organization chop.word sortify }
3104
+ if$
3105
+ }
3106
+ { editor sort.format.names }
3107
+ if$
3108
+ }
3109
+
3110
+ %%% 1,...,9 -> 001,...,009
3111
+ %%% 10,...,99 -> 010,...,099
3112
+ FUNCTION {add.zero.to.number}
3113
+ { 's :=
3114
+ s text.length$ #1 =
3115
+ { "00" s * }
3116
+ { s text.length$ #2 =
3117
+ { "0" s * }
3118
+ { s }
3119
+ if$
3120
+ }
3121
+ if$
3122
+ }
3123
+
3124
+ %% entry type
3125
+ FUNCTION {bst.sort.entry.type.order}
3126
+ { 'item.type :=
3127
+ item.type "article" =
3128
+ { "01" }
3129
+ { item.type "book" =
3130
+ { "02" }
3131
+ { item.type "booklet" =
3132
+ { "03" }
3133
+ { item.type "comment" =
3134
+ { "04" }
3135
+ { item.type "conference" =
3136
+ { "05" }
3137
+ { item.type "inbook" =
3138
+ { "06" }
3139
+ { item.type "incollection" =
3140
+ { "07" }
3141
+ { item.type "inproceedings" =
3142
+ { "08" }
3143
+ { item.type "manual" =
3144
+ { "09" }
3145
+ { item.type "masterthesis" =
3146
+ { "10" }
3147
+ { item.type "misc" =
3148
+ { "11" }
3149
+ { item.type "phdthesis" =
3150
+ { "12" }
3151
+ { item.type "proceedings" =
3152
+ { "13" }
3153
+ { item.type "techreport" =
3154
+ { "14" }
3155
+ { item.type "unpublished" =
3156
+ { "15" }
3157
+ { "16" }
3158
+ if$
3159
+ }
3160
+ if$
3161
+ }
3162
+ if$
3163
+ }
3164
+ if$
3165
+ }
3166
+ if$
3167
+ }
3168
+ if$
3169
+ }
3170
+ if$
3171
+ }
3172
+ if$
3173
+ }
3174
+ if$
3175
+ }
3176
+ if$
3177
+ }
3178
+ if$
3179
+ }
3180
+ if$
3181
+ }
3182
+ if$
3183
+ }
3184
+ if$
3185
+ }
3186
+ if$
3187
+ }
3188
+
3189
+ %%% Create sort.key$: absorder -> author -> year -> order -> month -> title.
3190
+ FUNCTION {presort.one}
3191
+ {
3192
+ bst.no.sort #0 = not
3193
+ { order.cited int.to.str$ add.zero.to.number " " * }
3194
+ { "" }
3195
+ if$
3196
+ bst.sort.year #0 = not
3197
+ %% Use year field as the primary sorting key.
3198
+ { year convert.year * }
3199
+ 'skip$
3200
+ if$
3201
+ bst.sort.entry.type #0 = not
3202
+ { type$ bst.sort.entry.type.order * " " * }
3203
+ 'skip$
3204
+ if$
3205
+ absorder empty$
3206
+ { "/// " * }
3207
+ { bst.notuse.absorder.field #0 =
3208
+ { absorder "999" =
3209
+ { "zzz " * }
3210
+ { absorder add.zero.to.number "000" =
3211
+ { "/// " * }
3212
+ { absorder add.zero.to.number * " " * }
3213
+ if$
3214
+ }
3215
+ if$
3216
+ }
3217
+ { "/// " * }
3218
+ if$
3219
+ }
3220
+ if$
3221
+ " " *
3222
+ sort.label.abb *
3223
+ " " *
3224
+ type$ "book" = type$ "inbook" = or
3225
+ 'author.editor.sort
3226
+ { type$ "proceedings" =
3227
+ 'editor.organization.sort
3228
+ { type$ "manual" =
3229
+ 'author.organization.sort
3230
+ 'author.sort
3231
+ if$
3232
+ }
3233
+ if$
3234
+ }
3235
+ if$
3236
+ * " " *
3237
+ " "
3238
+ order empty$
3239
+ { "/// " * }
3240
+ { bst.notuse.order.field #0 =
3241
+ { order "999" =
3242
+ { "zzz " * }
3243
+ { order add.zero.to.number "000" =
3244
+ { "/// " * }
3245
+ { order add.zero.to.number * " " * }
3246
+ if$
3247
+ }
3248
+ if$
3249
+ }
3250
+ { "/// " * }
3251
+ if$
3252
+ }
3253
+ if$
3254
+ month empty$
3255
+ { * "/// " * }
3256
+ { month "999" =
3257
+ { * month add.zero.to.number * "zzz " * }
3258
+ { month add.zero.to.number "000" =
3259
+ { * month add.zero.to.number * "/// " * }
3260
+ { * month add.zero.to.number * " " * }
3261
+ if$
3262
+ }
3263
+ if$
3264
+ }
3265
+ if$
3266
+ title field.or.null sort.format.title
3267
+ *
3268
+ #1 entry.max$ substring$
3269
+ 'sort.key$ :=
3270
+ % For debug
3271
+ econ.debug #0 = not
3272
+ { "``\texttt{" write$
3273
+ sort.key$ write$
3274
+ "}''\\" write$
3275
+ newline$
3276
+ }
3277
+ 'skip$
3278
+ if$
3279
+ }
3280
+
3281
+ FUNCTION {presort.two}
3282
+ {
3283
+ bst.no.sort #0 = not
3284
+ { order.cited int.to.str$ add.zero.to.number " " * }
3285
+ { "" }
3286
+ if$
3287
+ bst.sort.year #0 = not
3288
+ %% Use year field as the primary sorting key.
3289
+ { year convert.year * }
3290
+ 'skip$
3291
+ if$
3292
+ bst.sort.entry.type #0 = not
3293
+ { type$ bst.sort.entry.type.order * " " * }
3294
+ 'skip$
3295
+ if$
3296
+ absorder empty$
3297
+ { "/// " * }
3298
+ { bst.notuse.absorder.field #0 =
3299
+ { absorder "999" =
3300
+ { "zzz " * }
3301
+ { absorder add.zero.to.number "000" =
3302
+ { "/// " * }
3303
+ { absorder add.zero.to.number * " " * }
3304
+ if$
3305
+ }
3306
+ if$
3307
+ }
3308
+ { "/// " * }
3309
+ if$
3310
+ }
3311
+ if$
3312
+ " " * sort.label * " "
3313
+ order empty$
3314
+ { "/// " * }
3315
+ { bst.notuse.order.field #0 =
3316
+ { order "999" =
3317
+ { "zzz " * }
3318
+ { order add.zero.to.number "000" =
3319
+ { "/// " * }
3320
+ { order add.zero.to.number * " " * }
3321
+ if$
3322
+ }
3323
+ if$
3324
+ }
3325
+ { "/// " * }
3326
+ if$
3327
+ }
3328
+ if$
3329
+ month empty$
3330
+ { * "/// " * }
3331
+ { month "999" =
3332
+ { * month add.zero.to.number * "zzz " * }
3333
+ { month add.zero.to.number "000" =
3334
+ { * month add.zero.to.number * "/// " * }
3335
+ { * month add.zero.to.number * " " * }
3336
+ if$
3337
+ }
3338
+ if$
3339
+ }
3340
+ if$
3341
+ title field.or.null sort.format.title
3342
+ *
3343
+ #1 entry.max$ substring$
3344
+ 'sort.key$ :=
3345
+ % For debug
3346
+ econ.debug #0 = not
3347
+ { "``\texttt{" write$
3348
+ sort.key$ write$
3349
+ "}''\\" write$
3350
+ newline$
3351
+ }
3352
+ 'skip$
3353
+ if$
3354
+ }
3355
+
3356
+ %%% Codes for debugging
3357
+ FUNCTION {calc.alabel.mess}
3358
+ { econ.debug #0 = not
3359
+ { "\textbf{Iteration of calc.alabel: alabel = }\\" write$
3360
+ newline$ }
3361
+ 'skip$
3362
+ if$
3363
+ }
3364
+ FUNCTION {calc.flabel.mess}
3365
+ { econ.debug #0 = not
3366
+ { "\textbf{Iteration of calc.flabel: flabel = }\\" write$
3367
+ newline$ }
3368
+ 'skip$
3369
+ if$
3370
+ }
3371
+ FUNCTION {presort.one.mess}
3372
+ { econ.debug #0 = not
3373
+ { "\textbf{Iteration of presort (1st time): \$sort.key = }\\" write$
3374
+ newline$ }
3375
+ 'skip$
3376
+ if$
3377
+ }
3378
+
3379
+ FUNCTION {presort.two.mess}
3380
+ { econ.debug #0 = not
3381
+ { "\textbf{Iteration of presort (2nd time): \$sort.key = }\\" write$
3382
+ newline$ }
3383
+ 'skip$
3384
+ if$
3385
+ }
3386
+
3387
+ FUNCTION {calc.cyear.mess}
3388
+ { econ.debug #0 = not
3389
+ { "\textbf{Iteration of calc.cyear: sort.label = }\\" write$
3390
+ newline$ }
3391
+ 'skip$
3392
+ if$
3393
+ }
3394
+
3395
+ FUNCTION {calc.sort.label.abb.mess}
3396
+ { econ.debug #0 = not
3397
+ { "\textbf{Iteration of calc.sort.label.abb: sort.label.abb = }\\" write$
3398
+ newline$ }
3399
+ 'skip$
3400
+ if$
3401
+ }
3402
+
3403
+ %%% alabel
3404
+ EXECUTE {calc.alabel.mess}
3405
+ ITERATE {calc.alabel}
3406
+
3407
+ %%% flabel
3408
+ EXECUTE {calc.flabel.mess}
3409
+ ITERATE {calc.flabel}
3410
+
3411
+ %%% cyear and sort.label
3412
+ EXECUTE {calc.cyear.mess}
3413
+ ITERATE {calc.cyear}
3414
+
3415
+ %%%
3416
+ EXECUTE {calc.sort.label.abb.mess}
3417
+ ITERATE {calc.sort.label.abb}
3418
+
3419
+ %%% Sorting by $sort.key (first time)
3420
+ %
3421
+ % Sorting is done in two times. This is the first time.
3422
+ %
3423
+ EXECUTE {presort.one.mess}
3424
+ ITERATE {presort.one}
3425
+ SORT
3426
+
3427
+ FUNCTION {forward.pass}
3428
+ { bst.use.bysame #0 = bst.use.bysame #2 = or
3429
+ % Not use \bysame
3430
+ { last.sort.label sort.label.abb =
3431
+ { last.extra.num #1 + 'last.extra.num :=
3432
+ last.extra.num int.to.chr$ 'extra.label :=
3433
+ }
3434
+ { "a" chr.to.int$ 'last.extra.num :=
3435
+ "" 'extra.label :=
3436
+ sort.label.abb 'last.sort.label :=
3437
+ }
3438
+ if$
3439
+ }
3440
+ % Use \bysame
3441
+ { last.sort.label sort.label.abb =
3442
+ { last.extra.num #1 + 'last.extra.num :=
3443
+ last.extra.num int.to.chr$ 'extra.label :=
3444
+ }
3445
+ { "a" chr.to.int$ 'last.extra.num :=
3446
+ "" 'extra.label :=
3447
+ sort.label.abb 'last.sort.label :=
3448
+ }
3449
+ if$
3450
+ author empty$
3451
+ { editor empty$
3452
+ { "" }
3453
+ 'format.editors.alt
3454
+ if$
3455
+ }
3456
+ 'format.authors.alt
3457
+ if$
3458
+ 'this.author :=
3459
+ % format.names 'this.author :=
3460
+ this.author prev.author =
3461
+ { "bysame" 'extra.label.bysame := }
3462
+ { this.author "" =
3463
+ { "abcxyz" }
3464
+ 'this.author
3465
+ if$
3466
+ 'prev.author :=
3467
+ }
3468
+ if$
3469
+ }
3470
+ if$
3471
+ }
3472
+
3473
+ FUNCTION {reverse.pass}
3474
+ { next.extra "b" =
3475
+ { "a" 'extra.label := }
3476
+ 'skip$
3477
+ if$
3478
+ extra.label empty$ not
3479
+ { cyear extra.label * }
3480
+ { cyear "" * }
3481
+ if$
3482
+ "" field.or.null *
3483
+ 'cyear :=
3484
+ extra.label 'next.extra :=
3485
+ }
3486
+
3487
+ %%% \bysame
3488
+ ITERATE {forward.pass}
3489
+
3490
+ REVERSE {reverse.pass}
3491
+
3492
+ %%% Sorting by sort.key$ (second time)
3493
+ EXECUTE {presort.two.mess}
3494
+ ITERATE {presort.two}
3495
+ SORT
3496
+
3497
+ FUNCTION {reset.prev.author}
3498
+ { "xxyyzz" 'prev.author := }
3499
+
3500
+ EXECUTE {reset.prev.author}
3501
+
3502
+ FUNCTION {forward.pass.two}
3503
+ { bst.use.bysame #1 =
3504
+ { author empty$
3505
+ { editor empty$
3506
+ { "" }
3507
+ 'format.editors.alt
3508
+ if$
3509
+ }
3510
+ 'format.authors.alt
3511
+ if$
3512
+ 'this.author :=
3513
+ this.author prev.author =
3514
+ { "bysame" 'extra.label.bysame := }
3515
+ { this.author "" =
3516
+ { "abcxyz" }
3517
+ 'this.author
3518
+ if$
3519
+ 'prev.author :=
3520
+ }
3521
+ if$
3522
+ }
3523
+ 'skip$
3524
+ if$
3525
+ }
3526
+
3527
+ ITERATE {forward.pass.two}
3528
+
3529
+ FUNCTION{punctuation}
3530
+ {
3531
+ "%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%" write$ newline$
3532
+ "% This bbl file is created by aea.bst ver." econ.version * write$ newline$
3533
+ "% The latest aea.bst is available at" write$ newline$
3534
+ "% <https://github.com/ShiroTakeda/econ-bst>" write$ newline$ newline$
3535
+ }
3536
+
3537
+ EXECUTE {punctuation}
3538
+
3539
+ FUNCTION {begin.bib}
3540
+ {
3541
+ preamble$ empty$
3542
+ 'skip$
3543
+ { preamble$ write$ newline$ }
3544
+ if$
3545
+ bst.use.bysame #0 =
3546
+ % Not use \bysame.
3547
+ 'skip$
3548
+ % Use \bysame.
3549
+ { "%%% Definition of \bysame" write$ newline$
3550
+ "\ifx\undefined\bysame" write$ newline$
3551
+ "\newcommand{\bysame}{" bst.bysame.definition * "}" *
3552
+ write$ newline$
3553
+ "\fi" write$ newline$ newline$ }
3554
+ if$
3555
+ %% When number index is attached to the beginning of each item.
3556
+ bst.use.number.index #0 =
3557
+ 'skip$
3558
+ { bst.number.index.digit "1" =
3559
+ % one digit.
3560
+ { bst.number.index.bibhang.one }
3561
+ { bst.number.index.digit "2" =
3562
+ % two digits.
3563
+ { bst.number.index.bibhang.ten }
3564
+ % three or more digits.
3565
+ { bst.number.index.bibhang.hund }
3566
+ if$
3567
+ }
3568
+ if$
3569
+ 'hang :=
3570
+ "%%% Redefinition of \bibhang" write$ newline$
3571
+ "\ifx\undefined\bibhang" write$ newline$
3572
+ "\relax" write$ newline$
3573
+ "\else" write$ newline$
3574
+ "\setlength{\bibhang}{"
3575
+ hang * "}" * write$ newline$
3576
+ "\fi" write$ newline$ newline$
3577
+ }
3578
+ if$
3579
+ "\begin{thebibliography}{xxx}" write$ newline$
3580
+
3581
+ %% Initialize the variable `index'.
3582
+ #0 'index :=
3583
+ }
3584
+
3585
+ FUNCTION {end.bib}
3586
+ { newline$ "\end{thebibliography}" write$ newline$ }
3587
+
3588
+ EXECUTE {begin.bib}
3589
+
3590
+ EXECUTE {init.state.consts}
3591
+
3592
+ ITERATE {call.type$}
3593
+
3594
+ EXECUTE {end.bib}
3595
+
3596
+ % --------------------
3597
+ % Local Variables:
3598
+ % fill-column: 78
3599
+ % mode: bst
3600
+ % End:
107/replication_package/Output/CCBeliefs2.tex ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ \begin{tabular}{l*{4}{r @{} l}}
2
+ \hline
3
+ &\multicolumn{8}{c}{Subjective expected attendance without incentives}\\
4
+ & (1)& & (2)& & (3)& & (4)& \\
5
+ \hline
6
+ Subj. prob. succeed in & 8.46&***& & & 9.17&***& 9.68&** \\
7
+ \lq\lq more\rq\rq\, contract& (1.31)& & & & (1.17)& & (3.79)& \\
8
+ Subj. prob. succeed in & & & --3.96&***& --4.64&***& --9.97&***\\
9
+ \lq\lq fewer\rq\rq\, contract& & & (0.91)& & (0.85)& & (3.10)& \\
10
+ N & 399& & 399& & 399& & 76& \\
11
+ \hline ``More'' $-$ ``Fewer''& & & & & 13.81***& & 19.64***& \\
12
+ & & & & & (1.37)& & (6.02)& \\
13
+ \hline\hline
14
+ \end{tabular}
107/replication_package/Output/CCcorrelates.tex ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ \begin{tabular}{l*{3}{r @{} l}}
2
+ \hline
3
+ &\multicolumn{2}{c}{Expected attendance}&\multicolumn{2}{c}{Past attendance}&\multicolumn{2}{c}{Goal attendance}\\
4
+ & (1)& & (2)& & (3)& \\
5
+ \hline
6
+ Chose ``more contract''& 1.94&***& 1.31&***& 2.56&***\\
7
+ & (0.21)& & (0.22)& & (0.22)& \\
8
+ Chose ``fewer'' contract& --0.87&***& --1.94&***& --1.03&***\\
9
+ & (0.23)& & (0.23)& & (0.25)& \\
10
+ N & 2,946& & 2,946& & 2,946& \\
11
+ \hline ``More'' $-$ ``Fewer''& 2.81***& & 3.25***& & 3.59***& \\
12
+ & (0.34)& & (0.35)& & (0.36)& \\
13
+ \hline\hline
14
+ \end{tabular}
107/replication_package/Output/CCtakeupVbeliefs.tex ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ \begin{tabular}{l*{6}{r @{} l}}
2
+ \hline
3
+ &\multicolumn{6}{c}{\shortstack{Subj. prob. succeed in \\ ``more'' contract}}&\multicolumn{6}{c}{\shortstack{Subj. prob. succeed in \\ ``fewer'' contract}}\\
4
+ &\multicolumn{2}{c}{(1)}&\multicolumn{2}{c}{(2)}&\multicolumn{2}{c}{(3)}&\multicolumn{2}{c}{(4)}&\multicolumn{2}{c}{(5)}&\multicolumn{2}{c}{(6)}\\
5
+ \hline
6
+ Commit to ``more''& 0.12&***& & & 0.14&***& --0.09&***& & & --0.13&***\\
7
+ & (0.02)& & & & (0.02)& & (0.03)& & & & (0.03)& \\
8
+ Commit to ``fewer''& & & --0.05&* & --0.08&***& & & 0.17&***& 0.20&***\\
9
+ & & & (0.03)& & (0.02)& & & & (0.03)& & (0.03)& \\
10
+ N & 399& & 399& & 399& & 399& & 399& & 399& \\
11
+ \hline ``More'' $-$ ``Fewer''& & & & & 0.22***& & & & & & -0.34***& \\
12
+ & & & & & (0.03)& & & & & & (0.05)& \\
13
+ \hline\hline
14
+ \end{tabular}
107/replication_package/Output/DailyAttIncr.tex ADDED
@@ -0,0 +1,17 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ \begin{tabular}{l*{1}{r @{} l}}
2
+ \hline
3
+ &\multicolumn{2}{c}{\shortstack{Attendance \\ likelihood}}\\
4
+ &\multicolumn{2}{c}{(1)}\\
5
+ \hline
6
+ Day & --0.005&***\\
7
+ & (0.001)& \\
8
+ 12+ visits contract& 0.051& \\
9
+ & (0.045)& \\
10
+ Day $\times$ 12+ visits contract& 0.005&** \\
11
+ & (0.002)& \\
12
+ \hline
13
+ Wave FEs & Yes& \\
14
+ N & 7,336& \\
15
+ Clusters & 262& \\
16
+ \hline\hline
17
+ \end{tabular}
107/replication_package/Output/Formatted output/CCBeliefs2.tex ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ \begin{tabular}{l*{4}{r @{} l}}
2
+ \hline
3
+ &\multicolumn{8}{c}{Subjective expected attendance without incentives}\\
4
+ & (1)& & (2)& & (3)& & (4)& \\
5
+ \hline
6
+ Subj. prob. succeed in & 8.46&***& & & 9.17&***& 9.68&** \\
7
+ \lq\lq more\rq\rq\, contract& (1.31)& & & & (1.17)& & (3.79)& \\
8
+ Subj. prob. succeed in & & & --3.96&***& --4.64&***& --9.97&***\\
9
+ \lq\lq fewer\rq\rq\, contract& & & (0.91)& & (0.85)& & (3.10)& \\
10
+ N & 399& & 399& & 399& & 76& \\
11
+ \hline ``More'' $-$ ``Fewer''& & & & & 13.81&*** & 19.64&*** \\
12
+ & & & & & (1.37)& & (6.02)& \\
13
+ \hline\hline
14
+ \end{tabular}
107/replication_package/Output/Formatted output/CC_literature_table.tex ADDED
@@ -0,0 +1,83 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ \begin{threeparttable}
2
+ \begin{tabular}{lcr}
3
+ \hline
4
+ \textit{Type of contract} & & \\
5
+ Authors (year) & Take-up rate & \multicolumn{1}{c}{At stake} \\
6
+ \hline
7
+ & & \\
8
+ \textit{A. Penalty-based:} & & \\
9
+ & & \\
10
+ \cite*{gine2010} & 11\% & \multicolumn{1}{c}{own money} \\
11
+ \cite*{royer2015} & 12\% & \multicolumn{1}{c}{earned money} \\
12
+ \cite{Bai2018} & 14\% & \multicolumn{1}{c}{own money} \\
13
+ \cite*{bhattacharya2015} & 23\% & \multicolumn{1}{c}{own money} \\
14
+ \cite{john2020} & 27\% & \multicolumn{1}{c}{own money} \\
15
+ \cite*{kaur2015} & 36\% & \multicolumn{1}{c}{own money} \\
16
+ \cite{schwartz2014} & 36\% & \multicolumn{1}{c}{house money} \\
17
+ \cite{bonein2015} & 42\% & \multicolumn{1}{c}{other\tnote{1}} \\
18
+ \cite{beshears2020} & 39-46\%\tnote{2} & \multicolumn{1}{c}{house money} \\
19
+ \cite{toussaert2019} & 21-65\% & \multicolumn{1}{c}{house money} \\
20
+ \cite{schilbach2019} & 31-55\% & \multicolumn{1}{c}{house money} \\
21
+ \cite{exley2017} & 41-65\% & \multicolumn{1}{c}{house money } \\
22
+ \cite*{avery2019} & 63\% & \multicolumn{1}{c}{house money } \\
23
+ \cite{ariely2002} & 73\% & \multicolumn{1}{c}{other\tnote{3}} \\
24
+ & & \\
25
+ \hline
26
+ & & \\
27
+ Average take-up rates (Penalty-based contracts) & & \\
28
+ \hspace{3mm} Own money at stake & 22\% & \\
29
+ \hspace{3mm} House money at stake & 47\% & \\
30
+ \hspace{3mm} Other stakes & 42\% & \\
31
+ & & \\
32
+ Overall & 37\% & \\
33
+ \hline
34
+ \hline
35
+ & & \\
36
+ \textit{B. Removing options:} & & \multicolumn{1}{c}{Restricted access to} \\
37
+ & & \\
38
+ \cite{brune2016} & 6\% & \multicolumn{1}{c}{own money} \\
39
+ \cite{afzal2019} & 4-9\% & \multicolumn{1}{c}{own money} \\
40
+ \cite{zhang2021} & 16-31\% & \multicolumn{1}{c}{other} \\
41
+ \cite{sadoffjebo2019} & 20-50\% & \multicolumn{1}{c}{other} \\
42
+ \cite{ek2020} & 27\%\tnote{4} & \multicolumn{1}{c}{other} \\
43
+ \cite*{ashraf2006} & 28\% & \multicolumn{1}{c}{own money} \\
44
+ \cite*{sadoffsprenger2019} & 33\% & \multicolumn{1}{c}{other} \\
45
+ \cite{acland2018} & 35\% & \multicolumn{1}{c}{other} \\
46
+ \cite{john2020} & 42\% & \multicolumn{1}{c}{own money} \\
47
+ \cite{karlan2017} & 44\% & \multicolumn{1}{c}{own money} \\
48
+ \cite{toussaert2018} & 45\% & \multicolumn{1}{c}{other} \\
49
+ \cite{bisin2020} & 31-62\% & \multicolumn{1}{c}{other} \\
50
+ \cite{houser2018} & 48\% & \multicolumn{1}{c}{other} \\
51
+ \cite*{brune2021} & 50\% & \multicolumn{1}{c}{own money} \\
52
+ \cite{beshears2020} & 56\%\tnote{5} & \multicolumn{1}{c}{house money} \\
53
+ \cite*{augenblick2015} & 59\% & \multicolumn{1}{c}{other} \\
54
+ \cite*{milkman2014} & 61\%\tnote{4} & \multicolumn{1}{c}{other} \\
55
+ \cite{dupas2013} & 65\% & \multicolumn{1}{c}{own money} \\
56
+ \cite{alan2015} & 69\% & \multicolumn{1}{c}{house chocolates} \\
57
+ \cite{chow2011} & 79\% & \multicolumn{1}{c}{other} \\
58
+ \cite{casaburi2019} & 93\% & \multicolumn{1}{c}{own money} \\
59
+ & & \\
60
+ \hline
61
+ & & \\
62
+ Average take-up rates (Option removal contracts) & & \\
63
+ \hspace{3mm} Own money at stake & 42\% & \\
64
+ \hspace{3mm} House money/object at stake & 63\% & \\
65
+ \hspace{3mm} Other stakes & 43\% & \\
66
+ & & \\
67
+ Overall & 45\% & \\
68
+ \hline
69
+ \hline
70
+ \end{tabular}
71
+ \begin{tablenotes}
72
+ \setlength{\columnsep}{0.5cm}
73
+ \setlength{\multicolsep}{0cm}
74
+ \begin{multicols}{2}
75
+ \footnotesize
76
+ \item [1]Points in a two-part experiment
77
+ \item [2]Fraction of endowment put into account with early withdrawal penalty
78
+ \item [3]Grade points
79
+ \item [4]Percent of participants with WTP>0
80
+ \item [5]Fraction of endowment put into account with early withdrawal prohibited
81
+ \end{multicols}
82
+ \end{tablenotes}
83
+ \end{threeparttable}
107/replication_package/Output/Formatted output/CCcorrelates.tex ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ \begin{tabular}{l*{3}{r @{} l}}
2
+ \hline
3
+ &\multicolumn{2}{c}{Expected attendance}&\multicolumn{2}{c}{Past attendance}&\multicolumn{2}{c}{Goal attendance}\\
4
+ & (1)& & (2)& & (3)& \\
5
+ \hline
6
+ Chose ``more contract''& 1.94&***& 1.31&***& 2.56&***\\
7
+ & (0.21)& & (0.22)& & (0.22)& \\
8
+ Chose ``fewer'' contract& --0.87&***& --1.94&***& --1.03&***\\
9
+ & (0.23)& & (0.23)& & (0.25)& \\
10
+ N & 2,946& & 2,946& & 2,946& \\
11
+ \hline ``More'' $-$ ``Fewer''& 2.81&***& 3.25&***& 3.59&*** \\
12
+ & (0.34)& & (0.35)& & (0.36)& \\
13
+ \hline\hline
14
+ \end{tabular}
107/replication_package/Output/Formatted output/CCtable.tex ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ \centering \def\sym#1{\ifmmode^{#1}\else\(^{#1}\)\fi} \begin{tabular}{l*{7}{c}} \hline
2
+
3
+
4
+ &\multicolumn{1}{c}{ }&\multicolumn{1}{c}{}&\multicolumn{1}{c}{}&\multicolumn{1}{c}{Chose ``more''}&\multicolumn{1}{c}{Chose ``fewer''} &\multicolumn{1}{c}{} &\multicolumn{1}{c}{}\\ &\multicolumn{1}{c}{ }&\multicolumn{1}{c}{Chose ``more''}&\multicolumn{1}{c}{Chose ``fewer''}&\multicolumn{1}{c}{given chose} &\multicolumn{1}{c}{given chose} &\multicolumn{1}{c}{} &\multicolumn{1}{c}{}\\ &\multicolumn{1}{c}{}&\multicolumn{1}{c}{contract}&\multicolumn{1}{c}{contract}&\multicolumn{1}{c}{``fewer''}&\multicolumn{1}{c}{``more''} &\multicolumn{1}{c}{Diff}&\multicolumn{1}{c}{Diff} \\ &\multicolumn{1}{c}{Threshold}&\multicolumn{1}{c}{(1)}&\multicolumn{1}{c}{(2)}&\multicolumn{1}{c}{(3)}&\multicolumn{1}{c}{(4)} &\multicolumn{1}{c}{(3)-(1)}&\multicolumn{1}{c}{(4)-(2)} \\ \hline \ & 8 visits & 0.64 & 0.34 & 0.89 & 0.47 & 0.25*** & 0.13*** \\ \ & 12 visits & 0.49 & 0.31 & 0.67 & 0.43 & 0.18*** & 0.12*** \\ \ & 16 visits & 0.32 & 0.27 & 0.50 & 0.43 & 0.18*** & 0.15*** \\ [0.5ex] \hline\hline \end{tabular}
5
+
6
+ % created with estimates from Tables.do
107/replication_package/Output/Formatted output/CCtable_control.tex ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ \centering \def\sym#1{\ifmmode^{#1}\else\(^{#1}\)\fi} \begin{tabular}{l*{7}{c}} \hline
2
+
3
+
4
+ &\multicolumn{1}{c}{ }&\multicolumn{1}{c}{}&\multicolumn{1}{c}{}&\multicolumn{1}{c}{Chose ``more''}&\multicolumn{1}{c}{Chose ``fewer'' } &\multicolumn{1}{c}{} &\multicolumn{1}{c}{}\\ &\multicolumn{1}{c}{ }&\multicolumn{1}{c}{Chose ``more''}&\multicolumn{1}{c}{Chose ``fewer''}&\multicolumn{1}{c}{given chose} &\multicolumn{1}{c}{given chose} &\multicolumn{1}{c}{} &\multicolumn{1}{c}{}\\ &\multicolumn{1}{c}{}&\multicolumn{1}{c}{contract}&\multicolumn{1}{c}{contract}&\multicolumn{1}{c}{``fewer''}&\multicolumn{1}{c}{``more''} &\multicolumn{1}{c}{Diff}&\multicolumn{1}{c}{Diff} \\ &\multicolumn{1}{c}{Threshold}&\multicolumn{1}{c}{(1)}&\multicolumn{1}{c}{(2)}&\multicolumn{1}{c}{(3)}&\multicolumn{1}{c}{(4)} &\multicolumn{1}{c}{(3)-(1)}&\multicolumn{1}{c}{(4)-(2)} \\ \hline \ & 8 visits & 0.65 & 0.36 & 0.88 & 0.49 & 0.23*** & 0.13*** \\ \ & 12 visits & 0.52 & 0.33 & 0.72 & 0.45 & 0.20*** & 0.13*** \\ \ & 16 visits & 0.36 & 0.31 & 0.56 & 0.48 & 0.20*** & 0.17*** \\ [0.5ex] \hline\hline \end{tabular}
5
+
6
+ % created with estimates from Appendix.do
107/replication_package/Output/Formatted output/CCtable_treatment.tex ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ \centering \def\sym#1{\ifmmode^{#1}\else\(^{#1}\)\fi} \begin{tabular}{l*{7}{c}} \hline
2
+
3
+
4
+ &\multicolumn{1}{c}{ }&\multicolumn{1}{c}{}&\multicolumn{1}{c}{}&\multicolumn{1}{c}{Chose ``more''}&\multicolumn{1}{c}{Chose ``fewer'' } &\multicolumn{1}{c}{} &\multicolumn{1}{c}{}\\ &\multicolumn{1}{c}{ }&\multicolumn{1}{c}{Chose ``more''}&\multicolumn{1}{c}{Chose ``fewer''}&\multicolumn{1}{c}{given chose} &\multicolumn{1}{c}{given chose} &\multicolumn{1}{c}{} &\multicolumn{1}{c}{}\\ &\multicolumn{1}{c}{}&\multicolumn{1}{c}{contract}&\multicolumn{1}{c}{contract}&\multicolumn{1}{c}{``fewer''}&\multicolumn{1}{c}{``more''} &\multicolumn{1}{c}{Diff}&\multicolumn{1}{c}{Diff} \\ &\multicolumn{1}{c}{Threshold}&\multicolumn{1}{c}{(1)}&\multicolumn{1}{c}{(2)}&\multicolumn{1}{c}{(3)}&\multicolumn{1}{c}{(4)} &\multicolumn{1}{c}{(3)-(1)}&\multicolumn{1}{c}{(4)-(2)} \\ \hline \ & 8 visits & 0.62 & 0.30 & 0.89 & 0.43 & 0.27*** & 0.13*** \\ \ & 12 visits & 0.47 & 0.29 & 0.62 & 0.38 & 0.15*** & 0.09*** \\ \ & 16 visits & 0.31 & 0.22 & 0.47 & 0.34 & 0.16*** & 0.12*** \\ [0.5ex] \hline\hline \end{tabular}
5
+
6
+ % created with estimates from Appendix.do
107/replication_package/Output/Formatted output/CCtakeupVbeliefs.tex ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ \begin{tabular}{l*{6}{r @{} l}}
2
+ \hline
3
+ &\multicolumn{6}{c}{\shortstack{Subj. prob. succeed in \\ ``more'' contract}}&\multicolumn{6}{c}{\shortstack{Subj. prob. succeed in \\ ``fewer'' contract}}\\
4
+ &\multicolumn{2}{c}{(1)}&\multicolumn{2}{c}{(2)}&\multicolumn{2}{c}{(3)}&\multicolumn{2}{c}{(4)}&\multicolumn{2}{c}{(5)}&\multicolumn{2}{c}{(6)}\\
5
+ \hline
6
+ Commit to ``more''& 0.12&***& & & 0.14&***& --0.09&***& & & --0.13&***\\
7
+ & (0.02)& & & & (0.02)& & (0.03)& & & & (0.03)& \\
8
+ Commit to ``fewer''& & & --0.05&* & --0.08&***& & & 0.17&***& 0.20&***\\
9
+ & & & (0.03)& & (0.02)& & & & (0.03)& & (0.03)& \\
10
+ N & 399& & 399& & 399& & 399& & 399& & 399& \\
11
+ \hline ``More'' $-$ ``Fewer''& & & & & 0.22&***& & & & & -0.34&*** \\
12
+ & & & & & (0.03)& & & & & & (0.05)& \\
13
+ \hline\hline
14
+ \end{tabular}
107/replication_package/Output/Formatted output/Exp_Corr.tex ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ \renewcommand{\tabcolsep}{4pt}
2
+ \centering \def\sym#1{\ifmmode^{#1}\else\(^{#1}\)\fi}
3
+ \begin{tabular}{l*{8}{c}} \hline
4
+
5
+ &\multicolumn{1}{c}{ }&\multicolumn{1}{c}{}&\multicolumn{1}{c}{Exp. att.}&\multicolumn{1}{c}{Exp. att.} &\multicolumn{1}{c}{Exp. att.} &\multicolumn{1}{c}{Exp. att.}&\multicolumn{1}{c}{Exp. att.}&\multicolumn{1}{c}{Exp. att.}\\
6
+ &\multicolumn{1}{c}{}&\multicolumn{1}{c}{All}&\multicolumn{1}{c}{$\le r-2$}&\multicolumn{1}{c}{$\le r-4$}&\multicolumn{1}{c}{$\ge r+1$}&\multicolumn{1}{c}{$\ge r+3$}&\multicolumn{1}{c}{$\le 6$} &\multicolumn{1}{c}{$\ge 17$} \\
7
+ &\multicolumn{1}{c}{Threshold ($r$)}&\multicolumn{1}{c}{(1)}&\multicolumn{1}{c}{(2)}&\multicolumn{1}{c}{(3)}&\multicolumn{1}{c}{(4)} &\multicolumn{1}{c}{(5)}&\multicolumn{1}{c}{(6)}&\multicolumn{1}{c}{(7)}\\
8
+ \hline
9
+ \ & 8 visits & 0.37*** & 0.39*** & 0.46*** & 0.37*** & 0.38*** & 0.39*** &0.41*** \\
10
+ \ & 12 visits & 0.24*** & 0.23*** & 0.27*** & 0.31*** & 0.27*** & 0.29*** & 0.32*** \\
11
+ \ & 16 visits & 0.23*** & 0.22*** & 0.22*** & 0.33*** & 0.33*** & 0.25** & 0.33*** \\
12
+ [0.5ex] \hline\hline \end{tabular}
13
+
14
+ % created with estimates from Appendix.do
107/replication_package/Output/Formatted output/Exp_Rates.tex ADDED
@@ -0,0 +1,15 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ \renewcommand{\tabcolsep}{2pt}
2
+ \centering \def\sym#1{\ifmmode^{#1}\else\(^{#1}\)\fi}
3
+ \begin{tabular}{l*{7}{c}} \hline
4
+
5
+ &\multicolumn{1}{c}{ }&\multicolumn{1}{c}{}&\multicolumn{1}{c}{Chose ``more''}&\multicolumn{1}{c}{Chose ``more''}&\multicolumn{1}{c}{} &\multicolumn{1}{c}{Chose ``fewer''} &\multicolumn{1}{c}{Chose ``fewer''}\\
6
+ &\multicolumn{1}{c}{ }&\multicolumn{1}{c}{Chose ``more''}&\multicolumn{1}{c}{given exp. att.}&\multicolumn{1}{c}{given exp. att.} &\multicolumn{1}{c}{Chose ``fewer''} &\multicolumn{1}{c}{given exp. att.} &\multicolumn{1}{c}{given exp. att.}\\
7
+ &\multicolumn{1}{c}{}&\multicolumn{1}{c}{contract}&\multicolumn{1}{c}{$\le r-2$}&\multicolumn{1}{c}{$\le r-4$}&\multicolumn{1}{c}{contract} &\multicolumn{1}{c}{$\ge r+1$}&\multicolumn{1}{c}{$\ge r+3$} \\
8
+ &\multicolumn{1}{c}{Threshold ($r$)}&\multicolumn{1}{c}{(1)}&\multicolumn{1}{c}{(2)}&\multicolumn{1}{c}{(3)}&\multicolumn{1}{c}{(4)} &\multicolumn{1}{c}{(5)}&\multicolumn{1}{c}{(6)} \\
9
+ \hline
10
+ \ & 8 visits & 0.64 & 0.62 & 0.63 & 0.34 & 0.31 & 0.29 \\
11
+ \ & 12 visits & 0.49 & 0.39 & 0.35 & 0.31 & 0.30 & 0.29 \\
12
+ \ & 16 visits & 0.32 & 0.24& 0.23 & 0.27 & 0.31 &0.32 \\
13
+ [0.5ex] \hline\hline \end{tabular}
14
+
15
+ % created with estimates from Appendix.do
107/replication_package/Output/Formatted output/uniformrange.pdf ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:51c4fb26f11f3e45d129efac3796b319e0f3d3e346633756d8a2f40210946144
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+ size 64725
107/replication_package/Output/appendix_descriptive_stats.tex ADDED
@@ -0,0 +1,35 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ \def\sym#1{\ifmmode^{#1}\else\(^{#1}\)\fi}
3
+ \begin{tabular}{l*{4}{c}}
4
+ \hline
5
+ & Wave 1 & Wave 2 & Wave 3 & Overall \\
6
+ \hline
7
+ Female & 0.66 & 0.61 & 0.57 & 0.61 \\
8
+ & (0.47) & (0.49) & (0.50) & (0.49) \\
9
+ [1em]
10
+ Age$^a$ & 30.93 & 34.55 & 34.38 & 33.51 \\
11
+ & (12.61) & (15.29) & (15.70) & (14.82) \\
12
+ [1em]
13
+ Student, full-time & 0.64 & 0.54 & 0.55 & 0.57 \\
14
+ & (0.48) & (0.50) & (0.50) & (0.50) \\
15
+ [1em]
16
+ Working, full- or part-time& 0.50 & 0.60 & 0.59 & 0.57 \\
17
+ & (0.50) & (0.49) & (0.49) & (0.50) \\
18
+ [1em]
19
+ Married & 0.25 & 0.28 & 0.27 & 0.27 \\
20
+ & (0.44) & (0.45) & (0.45) & (0.44) \\
21
+ [1em]
22
+ Advanced degree$^b$ & 0.41 & 0.48 & 0.47 & 0.46 \\
23
+ & (0.49) & (0.50) & (0.50) & (0.50) \\
24
+ [1em]
25
+ Household income$^a$& 45,804 & 58,502 & 58,527 & 55,139 \\
26
+ & (40,574) & (48,248) & (49,722) & (47,121) \\
27
+ [1em]
28
+ Visits in the past 4 weeks, recorded& 7.04 & 7.63 & 5.89 & 6.91 \\
29
+ & (5.86) & (6.12) & (5.36) & (5.86) \\
30
+ \hline
31
+ \addlinespace
32
+ N & 340 & 509 & 399 & 1,248 \\
33
+ \hline\hline
34
+ \end{tabular}
35
+ }
107/replication_package/Output/bcp_on_behavior_change.tex ADDED
@@ -0,0 +1,17 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ \begin{tabular}{l*{2}{r @{} l}}
2
+ \hline
3
+ &\multicolumn{4}{c}{\shortstack{Behavior change \\ premium}}\\
4
+ &\multicolumn{2}{c}{(1)}&\multicolumn{2}{c}{(2)}\\
5
+ \hline
6
+ Expected behavior change& 1.51&***& 1.52&***\\
7
+ & (0.13)& & (0.13)& \\
8
+ Constant & 0.10& & & \\
9
+ & (0.22)& & & \\
10
+ \hline
11
+ Dep. var. mean:& 1.20& & 1.20& \\
12
+ & (0.15)& & (0.15)& \\
13
+ \hline Wave FEs& No& & Yes& \\
14
+ N & 6,240& & 6,240& \\
15
+ Clusters & 1,248& & 1,248& \\
16
+ \hline\hline
17
+ \end{tabular}
107/replication_package/Output/bcp_on_risk_aversion.tex ADDED
@@ -0,0 +1,18 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ \begin{tabular}{l*{3}{r @{} l}}
2
+ \hline
3
+ &\multicolumn{6}{c}{\shortstack{Behavior change premium}}\\
4
+ &\multicolumn{2}{c}{(1)}&\multicolumn{2}{c}{(2)}&\multicolumn{2}{c}{(3)}\\
5
+ \hline
6
+ Risk aversion& --0.001& & & & & \\
7
+ & (0.090)& & & & & \\
8
+ Above median risk aversion& & & 0.037& & & \\
9
+ & & & (0.391)& & & \\
10
+ Risk averse & & & & & 0.515& \\
11
+ & & & & & (0.478)& \\
12
+ \hline
13
+ Dep. var. mean:& 1.20& & 1.20& & 1.20& \\
14
+ & (0.20)& & (0.20)& & (0.20)& \\
15
+ \hline Wave FEs& Yes& & Yes& & Yes& \\
16
+ N & 1,248& & 1,248& & 1,248& \\
17
+ \hline\hline
18
+ \end{tabular}
107/replication_package/Output/commit_delta.tex ADDED
@@ -0,0 +1,16 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ \begin{tabular}{l*{4}{r @{} l}}
2
+ \hline
3
+ &\multicolumn{8}{c}{\shortstack{Take-up of ``more'' visits contract}}\\
4
+ &\multicolumn{2}{c}{\shortstack{8+ visits \\ (1)}}&\multicolumn{2}{c}{\shortstack{12+ visits \\ (2)}}&\multicolumn{2}{c}{\shortstack{16+ visits \\ (3)}}&\multicolumn{2}{c}{\shortstack{Pooled \\ (4)}}\\
5
+ \hline
6
+ Behavior change premium & 0.019&* & 0.020&* & 0.026&* & 0.022&** \\
7
+ (z-score) & (0.011)& & (0.012)& & (0.013)& & (0.010)& \\
8
+ \hline
9
+ Dep. var. mean: & 0.64& & 0.49& & 0.32& & 0.49& \\
10
+ & (0.02)& & (0.01)& & (0.02)& & (0.01)& \\
11
+ \hline Wave FEs & Yes& & Yes& & Yes& & Yes& \\
12
+ Contract FEs & No& & No& & No& & Yes& \\
13
+ N & 849& & 1,248& & 849& & 2,946& \\
14
+ Clusters & 849& & 1,248& & 849& & 1,248& \\
15
+ \hline\hline
16
+ \end{tabular}
107/replication_package/Output/commit_delta_control.tex ADDED
@@ -0,0 +1,16 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ \begin{tabular}{l*{4}{r @{} l}}
2
+ \hline
3
+ &\multicolumn{8}{c}{\shortstack{Take-up of ``more'' visits contract}}\\
4
+ &\multicolumn{2}{c}{\shortstack{8+ visits \\ (1)}}&\multicolumn{2}{c}{\shortstack{12+ visits \\ (2)}}&\multicolumn{2}{c}{\shortstack{16+ visits \\ (3)}}&\multicolumn{2}{c}{\shortstack{Pooled \\ (4)}}\\
5
+ \hline
6
+ Behavior change premium & --0.040& & --0.013& & --0.036& & --0.028& \\
7
+ (z-score) & (0.025)& & (0.024)& & (0.029)& & (0.022)& \\
8
+ \hline
9
+ Dep. var. mean: & 0.65& & 0.52& & 0.36& & 0.51& \\
10
+ & (0.02)& & (0.02)& & (0.02)& & (0.01)& \\
11
+ \hline Wave FEs & Yes& & Yes& & Yes& & Yes& \\
12
+ Contract FEs & No& & No& & No& & Yes& \\
13
+ N & 429& & 622& & 429& & 1,480& \\
14
+ Clusters & 429& & 622& & 429& & 622& \\
15
+ \hline\hline
16
+ \end{tabular}
107/replication_package/Output/commit_delta_info.tex ADDED
@@ -0,0 +1,16 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ \begin{tabular}{l*{4}{r @{} l}}
2
+ \hline
3
+ &\multicolumn{8}{c}{\shortstack{Take-up of ``more'' visits contract}}\\
4
+ &\multicolumn{2}{c}{\shortstack{8+ visits \\ (1)}}&\multicolumn{2}{c}{\shortstack{12+ visits \\ (2)}}&\multicolumn{2}{c}{\shortstack{16+ visits \\ (3)}}&\multicolumn{2}{c}{\shortstack{Pooled \\ (4)}}\\
5
+ \hline
6
+ Behavior change premium & 0.035&***& 0.041&***& 0.055&***& 0.044&***\\
7
+ (z-score) & (0.013)& & (0.013)& & (0.014)& & (0.012)& \\
8
+ \hline
9
+ Dep. var. mean: & 0.62& & 0.47& & 0.31& & 0.47& \\
10
+ & (0.03)& & (0.02)& & (0.03)& & (0.02)& \\
11
+ \hline Wave FEs & Yes& & Yes& & Yes& & Yes& \\
12
+ Contract FEs & No& & No& & No& & Yes& \\
13
+ N & 246& & 452& & 246& & 944& \\
14
+ Clusters & 246& & 452& & 246& & 452& \\
15
+ \hline\hline
16
+ \end{tabular}
107/replication_package/Output/daily_att_likelihood.pdf ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:c0c2e7e62848d2b4f5653d530962f04406cd8b16dda2cf54108272d1f64d409e
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+ size 62578
107/replication_package/Output/daily_att_prob_commit12.pdf ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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+ oid sha256:54b829aabdbd20e0bc2e166ad67b11099299ddcba1c60867d2696cd6de73daab
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+ size 2867
107/replication_package/Output/deltas.pdf ADDED
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107/replication_package/Output/exp_actual_under_incentive.pdf ADDED
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107/replication_package/Output/numbers.tex ADDED
@@ -0,0 +1,113 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ \newcommand{\lowwtpobs}{32}
2
+ \newcommand{\nexogobs}{12}
3
+ \newcommand{\excludeobs}{44}
4
+ \newcommand{\lowwtpobswthree}{13}
5
+ \newcommand{\nexogobswthree}{2}
6
+ \newcommand{\woneobs}{350}
7
+ \newcommand{\wtwoobs}{528}
8
+ \newcommand{\wthreeobs}{414}
9
+ \newcommand{\pctpreferzero}{1.2}
10
+ \newcommand{\commiteightrate}{64}
11
+ \newcommand{\commiteightobs}{849}
12
+ \newcommand{\committwelverate}{49}
13
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14
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15
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16
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17
+ \newcommand{\goalexpmean}{3.34}
18
+ \newcommand{\goalexpsd}{3.64}
19
+ \newcommand{\actexpmean}{-4.17}
20
+ \newcommand{\actexpsd}{6.61}
21
+ \newcommand{\enhinfobcpcoeff}{1.36}
22
+ \newcommand{\bcpinfoctrlmean}{0.66}
23
+ \newcommand{\bcpregmean}{1.17}
24
+ \newcommand{\goalexpbcpcoeff}{0.71}
25
+ \newcommand{\actualexpbcpcoeff}{0.45}
26
+ \newcommand{\enhinfoMCcoeff}{8.0}
27
+ \newcommand{\MCregmean}{0.49}
28
+ \newcommand{\MCregmeanPCT}{49}
29
+ \newcommand{\bcpMCcoeff}{3}
30
+ \newcommand{\goalexpMCcoeff}{3.8}
31
+ \newcommand{\wantgottwelvediff}{3.51}
32
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33
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34
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35
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37
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38
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39
+ \newcommand{\pctfemale}{61}
40
+ \newcommand{\pctfemalealt}{61.3}
41
+ \newcommand{\pctmalealt}{38.7}
42
+ \newcommand{\fracfemale}{0.613}
43
+ \newcommand{\fracmale}{0.387}
44
+ \newcommand{\meanage}{34}
45
+ \newcommand{\pctstudent}{57}
46
+ \newcommand{\pctworking}{57}
47
+ \newcommand{\pctmarried}{27}
48
+ \newcommand{\meanpastvisits}{22}
49
+ \newcommand{\meanpastvisitsrecall}{31}
50
+ \newcommand{\pctfailedac}{3.5}
51
+ \newcommand{\pctchosedom}{1.8}
52
+ \newcommand{\pctfailedcc}{4.3}
53
+ \newcommand{\passednumeracy}{95.2}
54
+ \newcommand{\anticommitrate}{31}
55
+ \newcommand{\anticommitrateexcl}{30}
56
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57
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58
+ \newcommand{\wtwothreeobs}{908}
59
+ \newcommand{\avgexpnoinc}{11.5}
60
+ \newcommand{\avgexpseveninc}{17.7}
61
+ \newcommand{\avgexpdiffseven}{6.2}
62
+ \newcommand{\avgactnoinc}{7.2}
63
+ \newcommand{\avgactseveninc}{13.3}
64
+ \newcommand{\avgactdiffseven}{6.1}
65
+ \newcommand{\attcoeff}{0.685}
66
+ \newcommand{\attcoeffse}{0.028}
67
+ \newcommand{\avgbcpcorr}{0.17}
68
+ \newcommand{\avgbcpcorrse}{0.06}
69
+ \newcommand{\avgMCcorr}{0.49}
70
+ \newcommand{\avgMCcorrse}{0.02}
71
+ \newcommand{\avgexpincone}{12.92}
72
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73
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74
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75
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76
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77
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78
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79
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80
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81
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82
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83
+ \newcommand{\obsbasictreat}{174}
84
+ \newcommand{\obsbasiccontrol}{166}
85
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86
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87
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88
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89
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90
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91
+ \newcommand{\incrattinc}{0.67}
92
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93
+ \newcommand{\avgbcpinc}{3.00}
94
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95
+ \newcommand{\wtpbcmean}{1.20}
96
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97
+ \newcommand{\enhancedtreatobs}{452}
98
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99
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100
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101
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102
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103
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104
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105
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106
+ \newcommand{\empirDaC}{3.51}
107
+ \newcommand{\empirDaCCI}{(1.38, 5.65)}
108
+ \newcommand{\empirctrlPmeet}{0.22}
109
+ \newcommand{\empirctrlPmeetCI}{(0.10, 0.35)}
110
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111
+ \newcommand{\empirtreatPmeetCI}{(0.52, 0.78)}
112
+ \newcommand{\empirDmeet}{0.42}
113
+ \newcommand{\empirDmeetCI}{(0.26, 0.58)}
107/replication_package/Output/numbers_struct.tex ADDED
@@ -0,0 +1,214 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ \newcommand{\allobspe}{1,126}
2
+ \newcommand{\lambdaall}{0.068}
3
+ \newcommand{\lambdaallCI}{(0.06, 0.07)}
4
+ \newcommand{\betatildeall}{0.84}
5
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6
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7
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8
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9
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10
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11
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12
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13
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14
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15
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16
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17
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23
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24
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25
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26
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27
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28
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29
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30
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31
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32
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33
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34
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35
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36
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37
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38
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39
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40
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41
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42
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43
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44
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45
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46
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47
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48
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50
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53
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54
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55
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56
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57
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58
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59
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60
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61
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62
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63
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64
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65
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67
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68
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69
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72
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73
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74
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76
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77
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78
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79
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80
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81
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82
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83
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84
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85
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86
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87
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88
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89
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90
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91
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92
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93
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94
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95
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96
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97
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98
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99
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100
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101
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102
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103
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104
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105
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106
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107
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108
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109
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110
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111
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112
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113
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114
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115
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116
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117
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118
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119
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120
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121
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122
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123
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124
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125
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126
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127
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128
+ \newcommand{\betatildetwelve}{0.81}
129
+ \newcommand{\betatildetwelveCI}{(0.75, 0.88)}
130
+ \newcommand{\btwelve}{9.62}
131
+ \newcommand{\btwelveCI}{(8.78, 10.47)}
132
+ \newcommand{\betatwelve}{0.50}
133
+ \newcommand{\betatwelveCI}{(0.45, 0.54)}
134
+ \newcommand{\ainttwelve}{4.84}
135
+ \newcommand{\ainttwelveCI}{(4.31, 5.38)}
136
+ \newcommand{\naivetwelve}{0.37}
137
+ \newcommand{\naivetwelveCI}{(0.26, 0.47)}
138
+ \newcommand{\expcosttwelve}{12.33}
139
+ \newcommand{\expcosttwelveCI}{(10.86, 13.81)}
140
+ \newcommand{\notwelveobspe}{570}
141
+ \newcommand{\lambdanotwelve}{0.058}
142
+ \newcommand{\lambdanotwelveCI}{(0.05, 0.06)}
143
+ \newcommand{\betatildenotwelve}{0.86}
144
+ \newcommand{\betatildenotwelveCI}{(0.82, 0.89)}
145
+ \newcommand{\bnotwelve}{9.46}
146
+ \newcommand{\bnotwelveCI}{(8.59, 10.32)}
147
+ \newcommand{\betanotwelve}{0.59}
148
+ \newcommand{\betanotwelveCI}{(0.55, 0.64)}
149
+ \newcommand{\aintnotwelve}{3.84}
150
+ \newcommand{\aintnotwelveCI}{(3.36, 4.32)}
151
+ \newcommand{\naivenotwelve}{0.35}
152
+ \newcommand{\naivenotwelveCI}{(0.27, 0.43)}
153
+ \newcommand{\expcostnotwelve}{17.26}
154
+ \newcommand{\expcostnotwelveCI}{(15.55, 18.98)}
155
+ \newcommand{\eightobspe}{546}
156
+ \newcommand{\lambdaeight}{0.070}
157
+ \newcommand{\lambdaeightCI}{(0.06, 0.08)}
158
+ \newcommand{\betatildeeight}{0.84}
159
+ \newcommand{\betatildeeightCI}{(0.77, 0.90)}
160
+ \newcommand{\beight}{9.16}
161
+ \newcommand{\beightCI}{(8.34, 9.98)}
162
+ \newcommand{\betaeight}{0.54}
163
+ \newcommand{\betaeightCI}{(0.49, 0.59)}
164
+ \newcommand{\ainteight}{4.23}
165
+ \newcommand{\ainteightCI}{(3.70, 4.76)}
166
+ \newcommand{\naiveeight}{0.36}
167
+ \newcommand{\naiveeightCI}{(0.24, 0.47)}
168
+ \newcommand{\expcosteight}{14.23}
169
+ \newcommand{\expcosteightCI}{(12.51, 15.96)}
170
+ \newcommand{\noeightobspe}{303}
171
+ \newcommand{\lambdanoeight}{0.060}
172
+ \newcommand{\lambdanoeightCI}{(0.05, 0.07)}
173
+ \newcommand{\betatildenoeight}{0.86}
174
+ \newcommand{\betatildenoeightCI}{(0.81, 0.92)}
175
+ \newcommand{\bnoeight}{10.64}
176
+ \newcommand{\bnoeightCI}{(9.23, 12.04)}
177
+ \newcommand{\betanoeight}{0.61}
178
+ \newcommand{\betanoeightCI}{(0.55, 0.67)}
179
+ \newcommand{\aintnoeight}{4.13}
180
+ \newcommand{\aintnoeightCI}{(3.39, 4.86)}
181
+ \newcommand{\naivenoeight}{0.35}
182
+ \newcommand{\naivenoeightCI}{(0.24, 0.47)}
183
+ \newcommand{\expcostnoeight}{16.69}
184
+ \newcommand{\expcostnoeightCI}{(14.37, 19.00)}
185
+ \newcommand{\sixteenobspe}{275}
186
+ \newcommand{\lambdasixteen}{0.097}
187
+ \newcommand{\lambdasixteenCI}{(0.08, 0.12)}
188
+ \newcommand{\betatildesixteen}{0.75}
189
+ \newcommand{\betatildesixteenCI}{(0.63, 0.86)}
190
+ \newcommand{\bsixteen}{10.30}
191
+ \newcommand{\bsixteenCI}{(8.94, 11.67)}
192
+ \newcommand{\betasixteen}{0.47}
193
+ \newcommand{\betasixteenCI}{(0.39, 0.55)}
194
+ \newcommand{\aintsixteen}{5.46}
195
+ \newcommand{\aintsixteenCI}{(4.57, 6.34)}
196
+ \newcommand{\naivesixteen}{0.48}
197
+ \newcommand{\naivesixteenCI}{(0.33, 0.64)}
198
+ \newcommand{\expcostsixteen}{10.33}
199
+ \newcommand{\expcostsixteenCI}{(8.22, 12.44)}
200
+ \newcommand{\nosixteenobspe}{574}
201
+ \newcommand{\lambdanosixteen}{0.060}
202
+ \newcommand{\lambdanosixteenCI}{(0.05, 0.07)}
203
+ \newcommand{\betatildenosixteen}{0.85}
204
+ \newcommand{\betatildenosixteenCI}{(0.81, 0.89)}
205
+ \newcommand{\bnosixteen}{9.11}
206
+ \newcommand{\bnosixteenCI}{(8.28, 9.94)}
207
+ \newcommand{\betanosixteen}{0.58}
208
+ \newcommand{\betanosixteenCI}{(0.54, 0.62)}
209
+ \newcommand{\aintnosixteen}{3.83}
210
+ \newcommand{\aintnosixteenCI}{(3.37, 4.29)}
211
+ \newcommand{\naivenosixteen}{0.36}
212
+ \newcommand{\naivenosixteenCI}{(0.28, 0.43)}
213
+ \newcommand{\expcostnosixteen}{16.70}
214
+ \newcommand{\expcostnosixteenCI}{(15.09, 18.30)}
107/replication_package/Output/numbers_struct_appx.tex ADDED
@@ -0,0 +1,402 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ \newcommand{\allVobspe}{1,126}
2
+ \newcommand{\lambdaallV}{0.064}
3
+ \newcommand{\lambdaallVCI}{(0.06, 0.07)}
4
+ \newcommand{\betatildeallV}{0.82}
5
+ \newcommand{\betatildeallVCI}{(0.74, 0.89)}
6
+ \newcommand{\ballV}{4.57}
7
+ \newcommand{\ballVCI}{(3.56, 5.58)}
8
+ \newcommand{\betaallV}{0.33}
9
+ \newcommand{\betaallVCI}{(0.24, 0.42)}
10
+ \newcommand{\aintallV}{3.07}
11
+ \newcommand{\aintallVCI}{(2.64, 3.49)}
12
+ \newcommand{\naiveallV}{0.28}
13
+ \newcommand{\naiveallVCI}{(0.19, 0.36)}
14
+ \newcommand{\expcostallV}{15.58}
15
+ \newcommand{\expcostallVCI}{(13.73, 17.43)}
16
+ \newcommand{\controlVobspe}{560}
17
+ \newcommand{\lambdacontrolV}{0.065}
18
+ \newcommand{\lambdacontrolVCI}{(0.06, 0.07)}
19
+ \newcommand{\betatildecontrolV}{0.83}
20
+ \newcommand{\betatildecontrolVCI}{(0.75, 0.90)}
21
+ \newcommand{\bcontrolV}{4.96}
22
+ \newcommand{\bcontrolVCI}{(3.66, 6.25)}
23
+ \newcommand{\betacontrolV}{0.30}
24
+ \newcommand{\betacontrolVCI}{(0.20, 0.40)}
25
+ \newcommand{\aintcontrolV}{3.47}
26
+ \newcommand{\aintcontrolVCI}{(2.86, 4.08)}
27
+ \newcommand{\naivecontrolV}{0.25}
28
+ \newcommand{\naivecontrolVCI}{(0.16, 0.33)}
29
+ \newcommand{\expcostcontrolV}{15.47}
30
+ \newcommand{\expcostcontrolVCI}{(13.36, 17.57)}
31
+ \newcommand{\treatVobspe}{392}
32
+ \newcommand{\lambdatreatV}{0.062}
33
+ \newcommand{\lambdatreatVCI}{(0.04, 0.08)}
34
+ \newcommand{\betatildetreatV}{0.77}
35
+ \newcommand{\betatildetreatVCI}{(0.57, 0.96)}
36
+ \newcommand{\btreatV}{4.69}
37
+ \newcommand{\btreatVCI}{(2.42, 6.95)}
38
+ \newcommand{\betatreatV}{0.38}
39
+ \newcommand{\betatreatVCI}{(0.18, 0.58)}
40
+ \newcommand{\ainttreatV}{2.91}
41
+ \newcommand{\ainttreatVCI}{(2.16, 3.66)}
42
+ \newcommand{\naivetreatV}{0.38}
43
+ \newcommand{\naivetreatVCI}{(0.17, 0.58)}
44
+ \newcommand{\expcosttreatV}{16.05}
45
+ \newcommand{\expcosttreatVCI}{(11.51, 20.60)}
46
+ \newcommand{\bmVobspe}{550}
47
+ \newcommand{\lambdabmV}{0.052}
48
+ \newcommand{\lambdabmVCI}{(0.04, 0.06)}
49
+ \newcommand{\betatildebmV}{0.89}
50
+ \newcommand{\betatildebmVCI}{(0.79, 1.00)}
51
+ \newcommand{\bbmV}{3.88}
52
+ \newcommand{\bbmVCI}{(2.77, 4.99)}
53
+ \newcommand{\betabmV}{0.15}
54
+ \newcommand{\betabmVCI}{(0.03, 0.28)}
55
+ \newcommand{\aintbmV}{3.28}
56
+ \newcommand{\aintbmVCI}{(2.60, 3.97)}
57
+ \newcommand{\naivebmV}{0.13}
58
+ \newcommand{\naivebmVCI}{(0.01, 0.24)}
59
+ \newcommand{\expcostbmV}{19.37}
60
+ \newcommand{\expcostbmVCI}{(16.59, 22.16)}
61
+ \newcommand{\amVobspe}{576}
62
+ \newcommand{\lambdaamV}{0.067}
63
+ \newcommand{\lambdaamVCI}{(0.06, 0.08)}
64
+ \newcommand{\betatildeamV}{0.83}
65
+ \newcommand{\betatildeamVCI}{(0.75, 0.90)}
66
+ \newcommand{\bamV}{6.75}
67
+ \newcommand{\bamVCI}{(5.33, 8.16)}
68
+ \newcommand{\betaamV}{0.52}
69
+ \newcommand{\betaamVCI}{(0.43, 0.60)}
70
+ \newcommand{\aintamV}{3.27}
71
+ \newcommand{\aintamVCI}{(2.78, 3.76)}
72
+ \newcommand{\naiveamV}{0.36}
73
+ \newcommand{\naiveamVCI}{(0.25, 0.47)}
74
+ \newcommand{\expcostamV}{14.90}
75
+ \newcommand{\expcostamVCI}{(12.91, 16.90)}
76
+ \newcommand{\bminfoavghetV}{5.66}
77
+ \newcommand{\bminfoavghetVCI}{(4.68, 6.64)}
78
+ \newcommand{\lambdaminfoavghetV}{0.06}
79
+ \newcommand{\lambdaminfoavghetVCI}{(0.05, 0.07)}
80
+ \newcommand{\betaminfoavghetV}{0.37}
81
+ \newcommand{\betaminfoavghetVCI}{(0.29, 0.44)}
82
+ \newcommand{\betatildeminfoavghetV}{0.85}
83
+ \newcommand{\betatildeminfoavghetVCI}{(0.79, 0.91)}
84
+ \newcommand{\aintminfoavghetV}{3.34}
85
+ \newcommand{\aintminfoavghetVCI}{(2.88, 3.79)}
86
+ \newcommand{\naiveminfoavghetV}{0.27}
87
+ \newcommand{\naiveminfoavghetVCI}{(0.19, 0.35)}
88
+ \newcommand{\expcostminfoavghetV}{17.36}
89
+ \newcommand{\expcostminfoavghetVCI}{(15.61, 19.11)}
90
+ \newcommand{\twelveVobspe}{556}
91
+ \newcommand{\lambdatwelveV}{0.073}
92
+ \newcommand{\lambdatwelveVCI}{(0.06, 0.09)}
93
+ \newcommand{\betatildetwelveV}{0.81}
94
+ \newcommand{\betatildetwelveVCI}{(0.69, 0.93)}
95
+ \newcommand{\btwelveV}{4.96}
96
+ \newcommand{\btwelveVCI}{(3.46, 6.46)}
97
+ \newcommand{\betatwelveV}{0.28}
98
+ \newcommand{\betatwelveVCI}{(0.15, 0.41)}
99
+ \newcommand{\ainttwelveV}{3.57}
100
+ \newcommand{\ainttwelveVCI}{(2.93, 4.21)}
101
+ \newcommand{\naivetwelveV}{0.26}
102
+ \newcommand{\naivetwelveVCI}{(0.13, 0.39)}
103
+ \newcommand{\expcosttwelveV}{13.64}
104
+ \newcommand{\expcosttwelveVCI}{(11.21, 16.07)}
105
+ \newcommand{\eightVobspe}{546}
106
+ \newcommand{\lambdaeightV}{0.063}
107
+ \newcommand{\lambdaeightVCI}{(0.05, 0.07)}
108
+ \newcommand{\betatildeeightV}{0.85}
109
+ \newcommand{\betatildeeightVCI}{(0.73, 0.97)}
110
+ \newcommand{\beightV}{4.54}
111
+ \newcommand{\beightVCI}{(3.17, 5.91)}
112
+ \newcommand{\betaeightV}{0.33}
113
+ \newcommand{\betaeightVCI}{(0.20, 0.46)}
114
+ \newcommand{\ainteightV}{3.03}
115
+ \newcommand{\ainteightVCI}{(2.47, 3.60)}
116
+ \newcommand{\naiveeightV}{0.23}
117
+ \newcommand{\naiveeightVCI}{(0.08, 0.37)}
118
+ \newcommand{\expcosteightV}{15.88}
119
+ \newcommand{\expcosteightVCI}{(13.21, 18.56)}
120
+ \newcommand{\sixteenVobspe}{275}
121
+ \newcommand{\lambdasixteenV}{0.087}
122
+ \newcommand{\lambdasixteenVCI}{(0.06, 0.12)}
123
+ \newcommand{\betatildesixteenV}{0.74}
124
+ \newcommand{\betatildesixteenVCI}{(0.52, 0.97)}
125
+ \newcommand{\bsixteenV}{5.28}
126
+ \newcommand{\bsixteenVCI}{(2.46, 8.11)}
127
+ \newcommand{\betasixteenV}{0.26}
128
+ \newcommand{\betasixteenVCI}{(0.04, 0.47)}
129
+ \newcommand{\aintsixteenV}{3.93}
130
+ \newcommand{\aintsixteenVCI}{(2.77, 5.09)}
131
+ \newcommand{\naivesixteenV}{0.34}
132
+ \newcommand{\naivesixteenVCI}{(0.13, 0.56)}
133
+ \newcommand{\expcostsixteenV}{11.45}
134
+ \newcommand{\expcostsixteenVCI}{(7.60, 15.30)}
135
+ \newcommand{\allXobspe}{1,126}
136
+ \newcommand{\lambdaallX}{0.062}
137
+ \newcommand{\lambdaallXCI}{(0.06, 0.07)}
138
+ \newcommand{\betatildeallX}{0.91}
139
+ \newcommand{\betatildeallXCI}{(0.89, 0.93)}
140
+ \newcommand{\ballX}{20.70}
141
+ \newcommand{\ballXCI}{(20.08, 21.32)}
142
+ \newcommand{\betaallX}{0.74}
143
+ \newcommand{\betaallXCI}{(0.72, 0.76)}
144
+ \newcommand{\aintallX}{5.35}
145
+ \newcommand{\aintallXCI}{(4.88, 5.81)}
146
+ \newcommand{\naiveallX}{0.34}
147
+ \newcommand{\naiveallXCI}{(0.28, 0.41)}
148
+ \newcommand{\expcostallX}{16.19}
149
+ \newcommand{\expcostallXCI}{(15.17, 17.20)}
150
+ \newcommand{\controlXobspe}{560}
151
+ \newcommand{\lambdacontrolX}{0.062}
152
+ \newcommand{\lambdacontrolXCI}{(0.06, 0.07)}
153
+ \newcommand{\betatildecontrolX}{0.92}
154
+ \newcommand{\betatildecontrolXCI}{(0.90, 0.94)}
155
+ \newcommand{\bcontrolX}{20.95}
156
+ \newcommand{\bcontrolXCI}{(20.09, 21.82)}
157
+ \newcommand{\betacontrolX}{0.73}
158
+ \newcommand{\betacontrolXCI}{(0.71, 0.76)}
159
+ \newcommand{\aintcontrolX}{5.56}
160
+ \newcommand{\aintcontrolXCI}{(5.01, 6.11)}
161
+ \newcommand{\naivecontrolX}{0.29}
162
+ \newcommand{\naivecontrolXCI}{(0.22, 0.36)}
163
+ \newcommand{\expcostcontrolX}{16.14}
164
+ \newcommand{\expcostcontrolXCI}{(14.75, 17.53)}
165
+ \newcommand{\treatXobspe}{392}
166
+ \newcommand{\lambdatreatX}{0.060}
167
+ \newcommand{\lambdatreatXCI}{(0.05, 0.07)}
168
+ \newcommand{\betatildetreatX}{0.88}
169
+ \newcommand{\betatildetreatXCI}{(0.84, 0.93)}
170
+ \newcommand{\btreatX}{21.18}
171
+ \newcommand{\btreatXCI}{(20.06, 22.30)}
172
+ \newcommand{\betatreatX}{0.74}
173
+ \newcommand{\betatreatXCI}{(0.70, 0.78)}
174
+ \newcommand{\ainttreatX}{5.51}
175
+ \newcommand{\ainttreatXCI}{(4.54, 6.48)}
176
+ \newcommand{\naivetreatX}{0.45}
177
+ \newcommand{\naivetreatXCI}{(0.33, 0.57)}
178
+ \newcommand{\expcosttreatX}{16.77}
179
+ \newcommand{\expcosttreatXCI}{(14.87, 18.67)}
180
+ \newcommand{\bmXobspe}{550}
181
+ \newcommand{\lambdabmX}{0.063}
182
+ \newcommand{\lambdabmXCI}{(0.06, 0.07)}
183
+ \newcommand{\betatildebmX}{0.89}
184
+ \newcommand{\betatildebmXCI}{(0.86, 0.93)}
185
+ \newcommand{\bbmX}{18.31}
186
+ \newcommand{\bbmXCI}{(17.63, 18.99)}
187
+ \newcommand{\betabmX}{0.68}
188
+ \newcommand{\betabmXCI}{(0.66, 0.71)}
189
+ \newcommand{\aintbmX}{5.84}
190
+ \newcommand{\aintbmXCI}{(5.21, 6.47)}
191
+ \newcommand{\naivebmX}{0.33}
192
+ \newcommand{\naivebmXCI}{(0.25, 0.42)}
193
+ \newcommand{\expcostbmX}{15.80}
194
+ \newcommand{\expcostbmXCI}{(14.44, 17.15)}
195
+ \newcommand{\amXobspe}{576}
196
+ \newcommand{\lambdaamX}{0.060}
197
+ \newcommand{\lambdaamXCI}{(0.06, 0.07)}
198
+ \newcommand{\betatildeamX}{0.93}
199
+ \newcommand{\betatildeamXCI}{(0.91, 0.95)}
200
+ \newcommand{\bamX}{23.39}
201
+ \newcommand{\bamXCI}{(22.28, 24.51)}
202
+ \newcommand{\betaamX}{0.80}
203
+ \newcommand{\betaamXCI}{(0.78, 0.82)}
204
+ \newcommand{\aintamX}{4.66}
205
+ \newcommand{\aintamXCI}{(4.03, 5.29)}
206
+ \newcommand{\naiveamX}{0.35}
207
+ \newcommand{\naiveamXCI}{(0.26, 0.44)}
208
+ \newcommand{\expcostamX}{16.55}
209
+ \newcommand{\expcostamXCI}{(15.06, 18.03)}
210
+ \newcommand{\bminfoavghetX}{21.30}
211
+ \newcommand{\bminfoavghetXCI}{(20.55, 22.04)}
212
+ \newcommand{\lambdaminfoavghetX}{0.06}
213
+ \newcommand{\lambdaminfoavghetXCI}{(0.06, 0.07)}
214
+ \newcommand{\betaminfoavghetX}{0.75}
215
+ \newcommand{\betaminfoavghetXCI}{(0.73, 0.76)}
216
+ \newcommand{\betatildeminfoavghetX}{0.92}
217
+ \newcommand{\betatildeminfoavghetXCI}{(0.90, 0.94)}
218
+ \newcommand{\aintminfoavghetX}{5.28}
219
+ \newcommand{\aintminfoavghetXCI}{(4.83, 5.74)}
220
+ \newcommand{\naiveminfoavghetX}{0.33}
221
+ \newcommand{\naiveminfoavghetXCI}{(0.27, 0.40)}
222
+ \newcommand{\expcostminfoavghetX}{16.93}
223
+ \newcommand{\expcostminfoavghetXCI}{(15.77, 18.08)}
224
+ \newcommand{\twelveXobspe}{556}
225
+ \newcommand{\lambdatwelveX}{0.073}
226
+ \newcommand{\lambdatwelveXCI}{(0.07, 0.08)}
227
+ \newcommand{\betatildetwelveX}{0.90}
228
+ \newcommand{\betatildetwelveXCI}{(0.87, 0.93)}
229
+ \newcommand{\btwelveX}{20.83}
230
+ \newcommand{\btwelveXCI}{(19.95, 21.71)}
231
+ \newcommand{\betatwelveX}{0.71}
232
+ \newcommand{\betatwelveXCI}{(0.69, 0.74)}
233
+ \newcommand{\ainttwelveX}{5.97}
234
+ \newcommand{\ainttwelveXCI}{(5.29, 6.64)}
235
+ \newcommand{\naivetwelveX}{0.34}
236
+ \newcommand{\naivetwelveXCI}{(0.25, 0.43)}
237
+ \newcommand{\expcosttwelveX}{13.76}
238
+ \newcommand{\expcosttwelveXCI}{(12.56, 14.95)}
239
+ \newcommand{\eightXobspe}{546}
240
+ \newcommand{\lambdaeightX}{0.065}
241
+ \newcommand{\lambdaeightXCI}{(0.06, 0.07)}
242
+ \newcommand{\betatildeeightX}{0.91}
243
+ \newcommand{\betatildeeightXCI}{(0.88, 0.94)}
244
+ \newcommand{\beightX}{20.12}
245
+ \newcommand{\beightXCI}{(19.27, 20.97)}
246
+ \newcommand{\betaeightX}{0.74}
247
+ \newcommand{\betaeightXCI}{(0.71, 0.77)}
248
+ \newcommand{\ainteightX}{5.22}
249
+ \newcommand{\ainteightXCI}{(4.54, 5.90)}
250
+ \newcommand{\naiveeightX}{0.35}
251
+ \newcommand{\naiveeightXCI}{(0.24, 0.45)}
252
+ \newcommand{\expcosteightX}{15.39}
253
+ \newcommand{\expcosteightXCI}{(14.01, 16.78)}
254
+ \newcommand{\sixteenXobspe}{275}
255
+ \newcommand{\lambdasixteenX}{0.082}
256
+ \newcommand{\lambdasixteenXCI}{(0.07, 0.09)}
257
+ \newcommand{\betatildesixteenX}{0.87}
258
+ \newcommand{\betatildesixteenXCI}{(0.81, 0.92)}
259
+ \newcommand{\bsixteenX}{22.16}
260
+ \newcommand{\bsixteenXCI}{(20.69, 23.63)}
261
+ \newcommand{\betasixteenX}{0.69}
262
+ \newcommand{\betasixteenXCI}{(0.65, 0.73)}
263
+ \newcommand{\aintsixteenX}{6.78}
264
+ \newcommand{\aintsixteenXCI}{(5.64, 7.92)}
265
+ \newcommand{\naivesixteenX}{0.44}
266
+ \newcommand{\naivesixteenXCI}{(0.31, 0.57)}
267
+ \newcommand{\expcostsixteenX}{12.26}
268
+ \newcommand{\expcostsixteenXCI}{(10.62, 13.91)}
269
+ \newcommand{\allnoconfusedobspe}{1,031}
270
+ \newcommand{\lambdaallnoconfused}{0.069}
271
+ \newcommand{\lambdaallnoconfusedCI}{(0.06, 0.07)}
272
+ \newcommand{\betatildeallnoconfused}{0.84}
273
+ \newcommand{\betatildeallnoconfusedCI}{(0.80, 0.88)}
274
+ \newcommand{\ballnoconfused}{9.39}
275
+ \newcommand{\ballnoconfusedCI}{(8.79, 9.99)}
276
+ \newcommand{\betaallnoconfused}{0.55}
277
+ \newcommand{\betaallnoconfusedCI}{(0.51, 0.59)}
278
+ \newcommand{\aintallnoconfused}{4.22}
279
+ \newcommand{\aintallnoconfusedCI}{(3.84, 4.59)}
280
+ \newcommand{\naiveallnoconfused}{0.36}
281
+ \newcommand{\naiveallnoconfusedCI}{(0.28, 0.43)}
282
+ \newcommand{\expcostallnoconfused}{14.56}
283
+ \newcommand{\expcostallnoconfusedCI}{(13.36, 15.77)}
284
+ \newcommand{\controlnoconfusedobspe}{516}
285
+ \newcommand{\lambdacontrolnoconfused}{0.066}
286
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