*** APPENDIX TABLES FOR Carrera, Royer, Stehr, Sydnor, and Taubinsky (2021) *** ******************************************************************************* *** Initial set-up *** clear set more off *** Set directories for data and output *** cd "$main/Output" /* Note: all tables will output to the working directory. Uses a program from master_do_file_for_analysis.do */ *** Load and clean experimental data ****************************************** *** Load dataset *** use "$main/Data/cleaned_commitment_study_data", clear *** Variable Creation & Cleaning Steps *** *** Create an ID variable for use when reshaping long gen id = _n *** Generate info treatment indicators gen first_info = type_of_info=="1-onlygraph" gen new_info = type_of_info=="2-graphplus" gen control_info = (new_info == 0 & first_info == 0) *** Generate wave indicators gen wave1 = (wave == "fall") gen wave2 = (wave == "winter") gen wave3 = (wave == "spring") *** Define anticommitment/commitment variables for each threshold gen anticommit8 = q170 ==2 if q170<. gen commit8 = q169 ==2 if q169<. gen anticommit12 = chose_anticommit11 gen commit12 = chose_commit12 gen anticommit16 = q296==2 if q296<. gen commit16 = q295 ==2 if q295<. *** Rescale percent variable foreach var of varlist percent*{ replace `var' = `var'/100 } *** Restrict sample to those exogenously assigned incentives keep if flag_low_wtp == 0 & flag_exclude_exog == 0 *** Descriptive Statistics (table_descriptive.tex) ***************************** *** Generate variables and labels for the table *** gen ft_student = student==1 if student<. gen ft_working = working==1 if working<. gen fpt_working = working<3 if working<. gen advanced_degree = educ==5 replace married = married==1 if married<. recode age (1 = 24) (2=35.5 ) (3=45.5) (4=57.5) (5=70) , gen(imp_age) recode income_cat (1 = 18000) (2=37500 ) (3=75500) (4=150000) (5=.) , gen(imp_inc) label var female "Female" label var imp_inc "Household income$^a$" label var married "Married" label var ft_student "Student, full-time" label var fpt_working "Working, full- or part-time" label var advanced "Advanced degree$^b$" label var imp_age "Age$^a$" label var past4 "Visits in the past 4 weeks, recorded" label var visits_100 "Visits, recorded" label var past100days_went "Visits, self-recollection" label var past100days_should "Days that \textit{I should have gone, but didn't}" label var days_0 "Best guess of days I will attend in next 4 weeks" label var goal "Goal for visits" label var flag_confusion "Indicator for inattention during survey" gen any_info = 0 replace any_info=1 if first_info==1 | new_info==1 gen rowvar = . *** Produce statistics for the table *** local counter=0 eststo clear foreach var of varlist female imp_age ft_student fpt_working married advanced_degree imp_inc past4{ local counter=`counter'+1 local varlabel: var label `var' label var rowvar "`varlabel'" replace rowvar=1 eststo model0, title(""): xi: reg `var' rowvar, noconst replace rowvar = any_info *estadd matrix p = (.), replace eststo model1, title(""): xi: reg `var' rowvar if wave1==1, robust reg `var' rowvar if wave1==0, robust eststo model2, title("") *** Export table if `counter'==1 { 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 /// title(Descriptive Statistics) mgroups("\shortstack{ \\ Overall mean}" "\shortstack{ \\ Difference in means:\\ Treatment $-$ control}" , pattern(1 1 0) /// span prefix(\multicolumn{@span}{c}{) suffix(})) /// mlabels("" "" "") msign(--) starlevels(* 0.1 ** 0.05 *** 0.01) /// prehead( "\begin{tabular}{l*{6}{c}}" "\hline" "\addlinespace") /// posthead("\hline" "\addlinespace") substitute(_ \_) } else if `counter'==7 { 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) /// msign(--) starlevels(* 0.1 ** 0.05 *** 0.01) collabels(,none) prefoot() substitute(_ \_) } else if `counter'==8 { 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) /// msign(--) starlevels(* 0.1 ** 0.05 *** 0.01) collabels(,none) prefoot() substitute(_ \_) /// 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}") } else if `counter'>=3 & `counter'<=6{ 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) /// msign(--) starlevels(* 0.1 ** 0.05 *** 0.01) collabels(,none) substitute(_ \_) } else { 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) /// msign(--) starlevels(* 0.1 ** 0.05 *** 0.01) collabels(,none) substitute(_ \_) } } . /* Note: the number of observations was manually entered; N = 1,248; Wave 1: 166 Control and 174 Treated; and Waves 2-3: 456 Control and 452 Treated */ *** (commit_delta{,_info,_control}.tex) *************************************** *** Generate additional variables and reshape data *** /*** These variables are the amounts, per attendance, by which a person "overpays" for the increase in incentive. Second-order approximation */ gen delta1=(wtp1) - (days_1+days_0)/2 gen delta2 = (wtp2-wtp1) - (days_2+days_1)/2 gen delta3=(wtp3-wtp2) - (days_3+days_2)/2 gen delta5=(wtp5-wtp3)/(5-3) - (days_5+days_3)/2 gen delta7=(wtp7-wtp5)/(7-5) - (days_7+days_5)/2 gen delta12=(wtp12-wtp7)/(12-7) - (days_12+days_7)/2 gen avg_delta_ex1 = (delta2 + delta3 + delta5 + delta7 + delta12)/5 *** Change in days of expected attendance by incentive gen diffa1=(days_1-days_0) gen diffa2=(days_2-days_1) gen diffa3=(days_3-days_2) gen diffa5=(days_5-days_3)/2 gen diffa7=(days_7-days_5)/2 gen diffa12=(days_12-days_7)/5 *** Generate z-score and mean *** quietly sum avg_delta_ex1 gen z_avg_delta_ex1 = (avg_delta_ex1 - r(mean))/r(sd) loc mean : di %4.2f r(mean) loc sd : di %4.2f r(sd) latex_write wtpbcmean `mean' numbers latex_write wtpbcsd `sd' numbers *** Regress behavior change premium on commitment contract take-up *** loc k = 1 foreach restriction in "" "if new_info == 1" "if control_info == 1"{ forval j = 8(4)16{ * Run regression under treatment restriction regress commit`j' z_avg_delta_ex1 wave2 wave3 `restriction', /// vce(cluster id) est store est_cd_`k' loc ++k * Store mean & fixed effects information ci means commit`j' if e(sample) local m : di %4.2f r(mean) local se : di %4.2f r(se) estadd local dvmean `m' estadd local dvse "(`se')" estadd local wavefe "Yes" estadd local ccfe "No" } } preserve * Reshape data and run regressions reshape long commit commitnotanti, i(id) j(t) foreach restriction in "" "if new_info == 1" "if control_info == 1"{ * Run regression under treatment restriction regress commit z_avg_delta_ex1 i.t wave2 wave3 `restriction', /// vce(cluster id) est store est_cd_`k' loc ++k * Store mean & fixed effects information ci means commit if e(sample) local m : di %4.2f r(mean) local se : di %4.2f r(se) estadd local dvmean `m' estadd local dvse "(`se')" estadd local wavefe "Yes" estadd local ccfe "Yes" } restore *** Export tables estout est_cd_1 est_cd_2 est_cd_3 est_cd_10 using "commit_delta.tex", style(tex) margin replace eqlabels(none) /// order(z_avg_delta_ex1) keep(z_avg_delta_ex1) wrap varwidth(25) /// mgroups("\shortstack{Take-up of \`\`more'' visits contract}" , pattern(1 0 0 0) span prefix(\multicolumn{@span}{c}{) suffix(})) /// mlabels("\shortstack{8+ visits \\ (1)}" "\shortstack{12+ visits \\ (2)}" "\shortstack{16+ visits \\ (3)}" "\shortstack{Pooled \\ (4)}",span prefix(\multicolumn{@span}{c}{) suffix(})) /// varlabels(z_avg_delta_ex1 "Behavior change premium (z-score)") /// cells(b(star fmt(%9.3f)) se(par fmt(%9.3f))) msign(--) starlevels(* 0.1 ** 0.05 *** 0.01) stardetach /// 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)) /// collabels(,none) prehead( "\begin{tabular}{l*{@M}{r @{} l}}" "\hline") /// posthead("\hline") prefoot("\hline") postfoot("\hline\hline" "\end{tabular}") estout est_cd_4 est_cd_5 est_cd_6 est_cd_11 using "commit_delta_info.tex", style(tex) margin replace eqlabels(none) /// order(z_avg_delta_ex1) keep(z_avg_delta_ex1) wrap varwidth(25) /// mgroups("\shortstack{Take-up of \`\`more'' visits contract}" , pattern(1 0 0 0) span prefix(\multicolumn{@span}{c}{) suffix(})) /// mlabels("\shortstack{8+ visits \\ (1)}" "\shortstack{12+ visits \\ (2)}" "\shortstack{16+ visits \\ (3)}" "\shortstack{Pooled \\ (4)}",span prefix(\multicolumn{@span}{c}{) suffix(})) /// varlabels(z_avg_delta_ex1 "Behavior change premium (z-score)") /// cells(b(star fmt(%9.3f)) se(par fmt(%9.3f))) msign(--) starlevels(* 0.1 ** 0.05 *** 0.01) stardetach /// 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)) /// collabels(,none) prehead( "\begin{tabular}{l*{@M}{r @{} l}}" "\hline") /// posthead("\hline") prefoot("\hline") postfoot("\hline\hline" "\end{tabular}") estout est_cd_7 est_cd_8 est_cd_9 est_cd_12 using "commit_delta_control.tex", style(tex) margin replace eqlabels(none) /// order(z_avg_delta_ex1) keep(z_avg_delta_ex1) wrap varwidth(25) /// mgroups("\shortstack{Take-up of \`\`more'' visits contract}" , pattern(1 0 0 0) span prefix(\multicolumn{@span}{c}{) suffix(})) /// mlabels("\shortstack{8+ visits \\ (1)}" "\shortstack{12+ visits \\ (2)}" "\shortstack{16+ visits \\ (3)}" "\shortstack{Pooled \\ (4)}",span prefix(\multicolumn{@span}{c}{) suffix(})) /// varlabels(z_avg_delta_ex1 "Behavior change premium (z-score)") /// cells(b(star fmt(%9.3f)) se(par fmt(%9.3f))) msign(--) starlevels(* 0.1 ** 0.05 *** 0.01) stardetach /// 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)) /// collabels(,none) prehead( "\begin{tabular}{l*{@M}{r @{} l}}" "\hline") /// posthead("\hline") prefoot("\hline") postfoot("\hline\hline" "\end{tabular}") *** (regs_commitnotanti_pooled.tex) ******************************************* * Generate variable for expected attendace w/incentive given gen days_exp = . foreach i in 0 1 2 3 5 7{ replace days_exp = days_`i' if incentive == `i' } * Generate variables for gaps between goal, past, expected, & actual attendance gen gap_goal_exp = goal - days_0 // under no incentive gen gap_goal_past = goal - past4 gen gap_actual_exp = visits - days_exp * Declare restriction for following analysis loc restrict "!missing(incentive)" * Generate z-scores for variables with constant restriction drop z_avg_delta_ex1 foreach dvar in gap_goal_exp gap_actual_exp avg_delta_ex1{ sum `dvar' if `restrict' gen z_`dvar' = (`dvar' - r(mean)) / r(sd) if `restrict' } *** Generate indicators for take-up of the more & not fewer contract *** forval i = 8(4)16{ gen commitnotanti`i' = (commit`i' == 1 & anticommit`i' == 0) /// if !missing(commit`i') } *** Run regressions of take-up of a more but not fewer visits contract *** preserve * Reshape to pool contracts reshape long commitnotanti, i(id) j(t) * Run regressions with constant restriction eststo clear loc k = 1 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"{ reg commitnotanti i.t wave2 wave3 `covar' if `restrict', vce(cluster id) eststo spec_`k' * Store dependent variable mean ci means commitnotanti if `restrict' local m : di %4.2f r(mean) local mpct : di %4.0f r(mean)*100 local se : di %4.2f r(se) estadd local dvmean `m' estadd local dvse "(`se')" ci means commitnotanti if `restrict' & control_info == 1 local mcontrol : di %4.2f r(mean) local secontrol : di %4.2f r(se) estadd local dvmeancontrol `mcontrol' estadd local dvsecontrol "(`secontrol')" estadd local wavefe "Yes" estadd local ccfe "Yes" loc ++k } * Export regression output estout spec* using "regs_commitnotanti_pooled.tex", style(tex) margin replace eqlabels(none) /// drop(8.t 12.t 16.t wave2 wave3 _cons) wrap varwidth(25) /// order(first_info new_info z_avg_delta_ex1 z_gap_goal_exp z_gap_actual_exp ) /// mgroups("\shortstack{Take-up of \`\`more'' but not \`\`fewer'' \\ visits contracts}", pattern(1 0 0 0) span prefix(\multicolumn{@span}{c}{) suffix(})) /// mlabels("(1)" "(2)" "(3)" "(4)",span prefix(\multicolumn{@span}{c}{) suffix(})) /// 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") /// cells(b(star fmt(%9.3f)) se(par fmt(%9.3f))) msign(--) starlevels(* 0.1 ** 0.05 *** 0.01) stardetach /// 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)) /// collabels(,none) prehead( "\begin{tabular}{l*{@M}{r @{} l}}" "\hline") /// posthead("\hline") prefoot("\hline") postfoot("\hline\hline" "\end{tabular}") restore *** (CCtable_{control,treatment}.tex) ***************************************** *** This table was created by hand, so no tex output is produced for it ******* foreach restriction in "new_info==1" "control_info==1"{ preserve *** Keep either the treatment or control group *** keep if `restriction' if "`restriction'" == "new_info==1" loc name "enhancedtreat" else loc name "control" *** Summarize take-up of commitment contracts *** forval X = 8(4)16 { * Chose "more" contract summarize commit`X' * Store number of observations if `X' == 12 latex_write `name'obs `r(N)' numbers * Chose "fewer" contract summarize anticommit`X' * Chose "more" given chose "fewer" summarize commit`X' if anticommit`X'==1 * Chose "fewer" given chose "more" summarize anticommit`X' if commit`X'==1 * Difference between "more" and "more" given chose "fewer" means gen commit`X'_cdtn = commit`X' if anticommit`X'==1 ttest commit`X'_cdtn = commit`X', unpaired * Difference between "fewer" and "fewer" given chose "more" means gen anticommit`X'_cdtn = anticommit`X' if commit`X'==1 ttest anticommit`X'_cdtn = anticommit`X', unpaired } restore } *** (CCtakeupVbeliefs.tex) **************************************************** *** Regress probability of meeting threshold vs. take-up, all participants *** *** Probability of meeting "more" threshold reg percent_meet_commit12 commit12, robust est store est21 reg percent_meet_commit12 anticommit12, robust est store est22 reg percent_meet_commit12 commit12 anticommit12, robust est store est23 * Difference of coefficients ("More"-"Fewer") test _b[commit]=_b[anticommit] nlcom diff: _b[commit]-_b[anticommit], post * Store differences local b : di %4.2f _b[diff] local se : di %4.2f _se[diff] estadd local diffb "`b'***" : est23 // know significance level via inspection estadd local diffse "(`se')" : est23 *** Probability of meeting "fewer" threshold reg percent_meet_anticommit commit12, robust est store est24 reg percent_meet_anticommit anticommit12, robust est store est25 reg percent_meet_anticommit commit12 anticommit12, robust est store est26 * Difference of coefficients ("More"-"Fewer") test _b[commit]=_b[anticommit] nlcom diff: _b[commit]-_b[anticommit], post * Store differences local b : di %4.2f _b[diff] local se : di %4.2f _se[diff] estadd local diffb "`b'***" : est26 // know significance level via inspection estadd local diffse "(`se')" : est26 *** Export table estout est21 est22 est23 est24 est25 est26 using CCtakeupVbeliefs.tex, /// style(tex) margin replace eqlabels(none) /// cells(b(star fmt(%9.2f)) se(par fmt(%9.2f)) ) msign(--) starlevels(* 0.1 ** 0.05 *** 0.01) stardetach /// keep(commit12 anticommit12) order(commit12 anticommit12) /// stats(N diffb diffse, l("N" "\hline \`\`More'' $-$ \`\`Fewer''" " ") fmt(%8.0fc %8.0fc %8.0fc)) /// varlabels(commit12 "Commit to \`\`more''" anticommit12 "Commit to \`\`fewer''") /// collabels(,none) mlabels("(1)" "(2)" "(3)" "(4)" "(5)" "(6)",span prefix(\multicolumn{@span}{c}{) suffix(})) /// mgroups("\shortstack{Subj. prob. succeed in \\ \`\`more'' contract}" "\shortstack{Subj. prob. succeed in \\ \`\`fewer'' contract}", pattern(1 0 0 1 0 0) /// span prefix(\multicolumn{@span}{c}{) suffix(})) /// prehead( "\begin{tabular}{l*{@M}{r @{} l}}" "\hline") /// posthead("\hline") prefoot() postfoot("\hline\hline" "\end{tabular}") *** (CCcorrelates.tex) ******************************************************** preserve *** Reshape data *** reshape long commit anticommit, i(id) j(threshold) *** Further correlates of take-up *** * Regress expected attendance on contract take-up reg days_0 commit anticommit, robust est store est31 * Difference of coefficients ("More"-"Fewer") nlcom diff: _b[commit]-_b[anticommit], post * Store differences local b : di %4.2f _b[diff] local se : di %4.2f _se[diff] estadd local diffb "`b'***" : est31 // know significance level via inspection estadd local diffse "(`se')" : est31 * Regress past attendance on contract take-up reg past4 commit anticommit, robust est store est32 * Difference of coefficients ("More"-"Fewer") nlcom diff: _b[commit]-_b[anticommit], post * Store differences local b : di %4.2f _b[diff] local se : di %4.2f _se[diff] estadd local diffb "`b'***" : est32 // know significance level via inspection estadd local diffse "(`se')" : est32 * Regress goal attendance on contract take-up reg goal commit anticommit, robust est store est33 * Difference of coefficients ("More"-"Fewer") nlcom diff: _b[commit]-_b[anticommit], post * Store differences local b : di %4.2f _b[diff] local se : di %4.2f _se[diff] estadd local diffb "`b'***" : est33 // know significance level via inspection estadd local diffse "(`se')" : est33 *** Export table estout est31 est32 est33 using CCcorrelates.tex, style(tex) margin replace eqlabels(none) /// cells(b(star fmt(%9.2f)) se(par fmt(%9.2f)) ) msign(--) starlevels(* 0.1 ** 0.05 *** 0.01) stardetach /// keep(commit anticommit) order(commit anticommit) /// mgroups("Expected attendance" "Past attendance" "Goal attendance", pattern(1 1 1) /// span prefix(\multicolumn{@span}{c}{) suffix(})) /// stats(N diffb diffse, l("N" "\hline \`\`More'' $-$ \`\`Fewer''" " ") fmt(%8.0fc %8.0fc %8.0fc)) /// varlabels(commit "Chose \`\`more contract''" anticommit "Chose \`\`fewer'' contract") /// collabels(,none) mlabels("(1)" "(2)" "(3)") /// prehead( "\begin{tabular}{l*{@M}{r @{} l}}" "\hline") /// posthead("\hline") prefoot() postfoot("\hline\hline" "\end{tabular}") restore *** (Exp_{Rates,Corr}.tex) **************************************************** *** These tables were created by hand, so no tex output is produced for them ** * Note: Attendance in the following tables is in the absence of incentives cap program drop rate_table corr_table *** Create program for table of rates of contract take-up *** program rate_table syntax, attendance(string) // for expected vs. actual attendance if "`attendance'" == "expected" local attendance "days_0" else if "`attendance'" == "actual" local attendance "incentive == 0 & visits" else confirm "`attendance'" == "actual" | "`attendance'" == "expected" * Summarize take-up of commitment contracts forval i = 8(4)16 { * (1) Chose "more" contract di("(1) Chose more: `i' visits") summarize commit`i' * (2) Chose "more" given attendance no more than target - 2 di("(2) Chose more | att. <= `i' - 2, `i' visits") summarize commit`i' if `attendance' <= `i' - 2 * (3) Chose "more" given attendance no more than target - 4 di("(3) Chose more | att. <= `i' - 4, `i' visits") summarize commit`i' if `attendance' <= `i' - 4 * (4) Chose "fewer" contract di("(4) Chose fewer, `i' visits") summarize anticommit`i' * (5) Chose "fewer" given attendance at least target + 1 di("(5) Chose fewer | att. >= `i' + 1, `i' visits") summarize anticommit`i' if `attendance' >= `i' + 1 * (6) Chose "fewer" given attendance at least target + 3 di("(6) Chose fewer | att. >= `i' + 3, `i' visits") summarize anticommit`i' if `attendance' >= `i' + 3 } end * Obtain take-up rates for table rate_table, attendance(expected) *** Create program for table of contract take-up correlations *** program corr_table syntax, attendance(string) // for expected vs. actual attendance if "`attendance'" == "expected" local attendance "days_0" else if "`attendance'" == "actual" local attendance "incentive == 0 & visits" * Summarize correlation between take-up more- & fewer-visit contracts forval i = 8(4)16 { * (1) Correlation di("(1) `i' visits") pwcorr commit`i' anticommit`i', sig * (2) Correlation given attendance no more than target - 2 di("(2) att. <= `i' - 2, `i' visits") pwcorr commit`i' anticommit`i' if `attendance' <= `i' - 2, sig * (3) Correlation given attendance no more than target - 4 di("(3) att. <= `i' - 4, `i' visits") pwcorr commit`i' anticommit`i' if `attendance' <= `i' - 4, sig * (4) Correlation given attendance at least target + 1 di("(4) att. >= `i' + 1, `i' visits") pwcorr commit`i' anticommit`i' if `attendance' >= `i' + 1, sig * (5) Correlation given attendance at least target + 3 di("(5) att. >= `i' + 3,`i' visits") pwcorr commit`i' anticommit`i' if `attendance' >= `i' + 3, sig * (6) Correlation given attendance no more than 6 di("(6) att. <= 6, `i' visits") pwcorr commit`i' anticommit`i' if `attendance' <= 6, sig * (7) Correlation given attendance at least 17 di("(7) att. >= 17, `i' visits") pwcorr commit`i' anticommit`i' if `attendance' >= 17, sig } end * Obtain correlations for table corr_table, attendance(expected) *** (bcp_on_behavior_change.tex) ********************************************** preserve *** Reshape to long format reshape long delta diffa, i(id) j(index) *** Run regression of behavior change premium on behavior change, excl. $1 * Without wave fixed effects reg delta diffa if index > 1, cluster(id) est store bcpbc1 * Store mean & fixed effects information estadd local wavefe "No" ci means delta if e(sample) local m : di %4.2f r(mean) loc se : di %4.2f r(se) estadd local dvmean `m' estadd local dvse "(`se')" * With wave fixed effects reg delta diffa wave? if index > 1, cluster(id) nocons est store bcpbc2 * Store mean & fixed effects information estadd local wavefe "Yes" ci means delta if e(sample) local m : di %4.2f r(mean) loc se : di %4.2f r(se) estadd local dvmean `m' estadd local dvse "(`se')" *** Export table estout bcpbc* using "bcp_on_behavior_change.tex", /// style(tex) margin replace eqlabels(none) drop(wave*) /// mgroups("\shortstack{Behavior change \\ premium}", pattern(1) span prefix(\multicolumn{@span}{c}{) suffix(})) /// mlabels("(1)" "(2)", span prefix(\multicolumn{@span}{c}{) suffix(})) /// varlabels(diffa "Expected behavior change" _cons "Constant") /// cells(b(star fmt(%9.2f)) se(par fmt(%9.2f))) msign(--) starlevels(* 0.1 ** 0.05 *** 0.01) stardetach /// stats(dvmean dvse wavefe N N_clust, l("Dep. var. mean:" " " "\hline Wave FEs" "N" "Clusters") fmt(%8.0fc %8.0fc %8.0fc)) /// collabels(,none) prehead( "\begin{tabular}{l*{@M}{r @{} l}}" "\hline") /// posthead("\hline") prefoot("\hline") postfoot("\hline\hline" "\end{tabular}") restore *** (bcp_on_risk_aversion.tex) ************************************************* /* Note: this table is not included in the paper, but the results are referenced in footnote 12. */ *** Generate risk aversion variables * Generate indicator for not choosing options with more risk but no addtl. return gen risk_averse = risk_aversion <= 5 * Generate indicator for above median risk aversion sum risk_aversion, d gen abovemed_risk_aversion = risk_aversion <= r(p50) *** Run regressions on a range of risk aversion variables eststo clear loc k = 1 foreach covar in "risk_aversion" "abovemed_risk_aversion" "risk_averse" { reg avg_delta_ex1 `covar' wave2 wave3, r eststo spec_`k' loc ++k * Store mean & fixed effects information estadd local wavefe "Yes" ci means avg_delta_ex1 if e(sample) local m : di %4.2f r(mean) loc se : di %4.2f r(se) estadd local dvmean `m' estadd local dvse "(`se')" } *** Export table estout spec* using "bcp_on_risk_aversion.tex", /// style(tex) margin replace eqlabels(none) drop(wave* _cons) /// mgroups("\shortstack{Behavior change premium}", pattern(1 0 0) span prefix(\multicolumn{@span}{c}{) suffix(})) /// mlabels("(1)" "(2)" "(3)", span prefix(\multicolumn{@span}{c}{) suffix(})) /// varlabels(risk_aversion "Risk aversion" abovemed_risk_aversion "Above median risk aversion" risk_averse "Risk averse") /// cells(b(star fmt(%9.3f)) se(par fmt(%9.3f))) msign(--) starlevels(* 0.1 ** 0.05 *** 0.01) stardetach /// stats(dvmean dvse wavefe N, l("Dep. var. mean:" " " "\hline Wave FEs" "N") fmt(%8.0fc %8.0fc %8.0fc %8.0fc)) /// collabels(,none) prehead( "\begin{tabular}{l*{@M}{r @{} l}}" "\hline") /// posthead("\hline") prefoot("\hline") postfoot("\hline\hline" "\end{tabular}") *** Load and clean daily experimental data ************************************ *** Load dataset *** use "$main/Data/cleaned_commitment_study_daily_data", clear *** Variable Creation & Cleaning Steps *** *** Generate info treatment indicators gen first_info = type_of_info=="1-onlygraph" gen new_info = type_of_info=="2-graphplus" gen control_info = (new_info == 0 & first_info == 0) *** Generate wave indicators gen wave1 = (wave == "fall") gen wave2 = (wave == "winter") gen wave3 = (wave == "spring") *** Define anticommitment/commitment variables for each threshold gen anticommit8 = q170 ==2 if q170<. gen commit8 = q169 ==2 if q169<. gen anticommit12 = chose_anticommit11 gen commit12 = chose_commit12 gen anticommit16 = q296==2 if q296<. gen commit16 = q295 ==2 if q295<. *** Restrict sample to those exogenously assigned incentives keep if flag_low_wtp == 0 & flag_exclude_exog == 0 *** (DailyAttIncr.tex) ******************************************************** preserve keep if commit12 == 1 gen got_incentive = 1 if treatment == "threshold80_12" replace got_incentive = 0 if treatment == "control" tab got_incentive keep if !missing(got_incentive) gen incentive_day = day*got_incentive * Run regression of attendance on assignment to contract and day reg attended day got_incentive incentive_day wave2 wave3, clus(id) est store estday estadd local wavefe "Yes" restore * Export regression output estout estday using "DailyAttIncr.tex", style(tex) margin replace eqlabels(none) /// order(day got_incentive incentive_day _cons) /// drop(wave2 wave3 _cons) /// mgroups("\shortstack{Attendance \\ likelihood}", pattern(1) span prefix(\multicolumn{@span}{c}{) suffix(})) /// mlabels("(1)",span prefix(\multicolumn{@span}{c}{) suffix(})) /// varlabels(day "Day" got_incentive "12+ visits contract" incentive_day "Day $\times$ 12+ visits contract") /// cells(b(star fmt(%9.3f)) se(par fmt(%9.3f))) msign(--) starlevels(* 0.1 ** 0.05 *** 0.01) stardetach /// stats(wavefe N N_clust, l("Wave FEs" "N" "Clusters") fmt(%8.0fc %8.0fc)) /// collabels(,none) /// prehead( "\begin{tabular}{l*{@M}{r @{} l}}" "\hline") /// posthead("\hline") /// prefoot("\hline") /// postfoot("\hline\hline" "\end{tabular}")