clear all // insheet the data if 1 { insheet using "data/raw/expBbatch1.csv", names drop if _n <= 2 // drop lines added by qualtrics gen batch = 1 gen id = _n + 1000*batch destring, replace rename treatment fined /*DZ: fined=1 designates treated with BLB intervention.*/ drop if _n == 1 // dropping text line that qualtrics adds destring, replace gen attrited = finlit3 ~= . & impl111_impl11_1 == . gen attritedLate = q182 ~= . & impl111_impl11_1 == . save "data/batch1.dta", replace clear insheet using "data/raw/expBbatch2.csv", names drop if _n <= 2 // drop lines added by qualtrics gen batch = 2 gen id = _n + 1000*batch destring, replace rename treatment fined /*DZ: fined=1 designates treated with BLB intervention.*/ drop if _n == 1 // dropping text line that qualtrics adds destring, replace gen attrited = finlit3 ~= . & impl111_impl11_1 == . gen attritedLate = q182 ~= . & impl111_impl11_1 == . save "data/batch2.dta", replace clear use "data/batch1.dta", replace append using "data/batch2.dta" save "data/dataRaw.dta", replace } use "data/dataRaw.dta", replace // ** find switching points // strategy: // 1. reshape // 2. order // 3. gen variable in order starting from 35, going down // 4. gen second variable, set to missing if choice was 1, to order otherwise, egen min of these // 5. gen third variable, set to missing if choice was 2, to order otherwise, egen max of those // 6. check for single switch by comparing whether max + 1 == min *************************************************************************************************************** forvalues i = 1/10 { gen s`i' = 0 } replace s1 = 1 if test1 == 2 replace s2 = 1 if test2 == 4 replace s3 = 1 if test3 == 4 replace s4 = 1 if test4 == 7 replace s5 = 1 if test5 == 6 replace s6 = 1 if test6 == 4 replace s7 = 1 if test7 == 5 replace s8 = 1 if test8 == 5 replace s9 = 1 if test9 == 5 replace s10 = 1 if test10 == 1 gen score = s1+s2+s3+s4+s5+s6+s7+s8+s9+s10 preserve /*rename sc0_0 score*/ gen pay_test = payment_for_test <= 25 keep ip id amt_id gender age ethnicity educ marital urban income employed hh_size stocks rule72* calculate line1 line2 amt1 amt2 decision_index pay_test payment_for_test fined finlit* att* help_test test* startdate enddate durationinseconds time* score save "data/dataNon_MPL.dta", replace restore *****************************************************************************************************************8 keep id impl* forvalues i = 1 / 20 { rename impl`i'11_impl`i'1_1 impl`i'_1 rename impl`i'11_impl`i'1_2 impl`i'_2 rename impl`i'11_impl`i'1_3 impl`i'_3 rename impl`i'11_impl`i'1_4 impl`i'_4 rename impl`i'11_impl`i'1_5 impl`i'_5 rename impl`i'11_impl`i'1_6 impl`i'_6 rename impl`i'11_impl`i'1_7 impl`i'_7 rename impl`i'11_impl`i'1_8 impl`i'_8 rename impl`i'11_impl`i'1_9 impl`i'_9 rename impl`i'11_impl`i'1_10 impl`i'_10 rename impl`i'11_impl`i'1_11 impl`i'_11 } keep impl1_* impl2_* impl3_* impl4_* impl5_* impl6_* impl7_* impl8_* impl9_* impl10_* impl11_* impl12_* impl13_* impl14_* impl15_* impl16_* impl17_* impl18_* impl19_* impl20_* id reshape long impl1_ impl2_ impl3_ impl4_ impl5_ impl6_ impl7_ impl8_ impl9_ impl10_ impl11_ impl12_ impl13_ impl14_ impl15_ impl16_ impl17_ impl18_ impl19_ impl20_, i(id) j(line 1-11) forvalues i = 1 / 20 { rename impl`i'_ impl`i' } sort id line gen sum_multi_switch_1 = 0 local varlist impl1 forvalues i=2/20 { local varlist `varlist' impl`i' } ** first pricelist foreach var in `varlist' { /*At this point varlist includes impl1, impl2, ... impl20*/ gen line_left = line gen line_right = line replace line_left = . if `var' == 1 replace line_right = . if `var' == 0 by id: egen switch_low = max(line_left) by id: egen switch_high = min(line_right) by id: egen mll = max(line_left) by id: egen mlr = min(line_right) gen multi_switch_`var' = 1 - (switch_high == 1 + switch_low) replace multi_switch_`var' = 0 if switch_high == 11 | switch_high == . | switch_low == 1 | switch_low == . gen value_`var' = switch_high replace value_`var' = . if multi_switch_`var' == 1 replace value_`var' = 0 if mlr == 1 //case where all right selected replace value_`var' = 12 if mll == 11 // case where all left selected replace sum_multi_switch_1 = sum_multi_switch_1 + multi_switch_`var' drop line_left drop line_right drop switch_high drop switch_low drop mll drop mlr gen value_coarse_`var' = 20 - 2*(value_`var'-1) } preserve drop value_impl* drop impl* collapse (mean) value* sum_multi* (max) multi*, by(id) save "data/data_Coarse.dta", replace restore *********************************** *** fine valuations *************** *********************************** clear all set more off use "data/dataRaw.dta" keep id impl* forvalues i = 1 / 20 { rename impl`i'21_impl`i'2_3 impl`i'_1 rename impl`i'21_impl`i'2_4 impl`i'_2 rename impl`i'21_impl`i'2_5 impl`i'_3 rename impl`i'21_impl`i'2_6 impl`i'_4 rename impl`i'21_impl`i'2_7 impl`i'_5 rename impl`i'21_impl`i'2_8 impl`i'_6 rename impl`i'21_impl`i'2_9 impl`i'_7 rename impl`i'21_impl`i'2_10 impl`i'_8 rename impl`i'21_impl`i'2_11 impl`i'_9 rename impl`i'21_impl`i'2_12 impl`i'_10 } keep impl1_* impl2_* impl3_* impl4_* impl5_* impl6_* impl7_* impl8_* impl9_* impl10_* impl11_* impl12_* impl13_* impl14_* impl15_* impl16_* impl17_* impl18_* impl19_* impl20_* id reshape long impl1_ impl2_ impl3_ impl4_ impl5_ impl6_ impl7_ impl8_ impl9_ impl10_ impl11_ impl12_ impl13_ impl14_ impl15_ impl16_ impl17_ impl18_ impl19_ impl20_ , i(id) j(line 1-10) forvalues i = 1 / 20 { rename impl`i'_ impl`i' } sort id line gen sum_multi_switch_2 = 0 local varlist impl1 forvalues i=2/20 { local varlist `varlist' impl`i' } ** second pricelist foreach var in `varlist' { gen line_left = line gen line_right = line replace line_left = . if `var' == 1 replace line_right = . if `var' == 0 by id: egen switch_low = max(line_left) by id: egen switch_high = min(line_right) by id: egen mll = max(line_left) by id: egen mlr = min(line_right) gen multi_switch_`var' = 1 - (switch_high == 1 + switch_low) replace multi_switch_`var' = 0 if (switch_high == 1 & switch_low == .) | (switch_high == . & switch_low == 10) gen value_`var' = switch_low replace value_`var' = . if multi_switch_`var' == 1 replace value_`var' = 0 if mlr == 1 //case where all right selected replace value_`var' = 10 if mll == 10 // case where all left selected replace sum_multi_switch_2 = sum_multi_switch_2 + multi_switch_`var' drop line_left drop line_right drop switch_high drop switch_low drop mll drop mlr gen value_fine_`var' = 1.8 - 0.2*value_`var' replace value_fine_`var' = 0 if value_fine_`var' < 0 } drop value_impl* drop impl* collapse (mean) value* sum_multi* (max) multi*, by(id) save "data/data_Fine.dta", replace *********************************** *** merge datasets *************** *********************************** clear all use "data/data_Fine.dta" merge 1:1 id using "data/data_Coarse.dta" drop _merge merge 1:1 id using "data/dataNon_MPL.dta" drop _merge /*DZ: Slight change in naming of variables.*/ forvalues i = 1/20 { gen value`i' = value_coarse_impl`i' + value_fine_impl`i' rename time`i'1_firstclick timeFirstClick`i' rename time`i'1_lastclick timeLastClick`i' rename time`i'1_pagesubmit timeSubmit`i' rename time`i'1_clickcount numClicks`i' } *********************************** gen multi = 0 forvalues i = 1 / 20 { replace multi = 1 if multi_switch_impl`i' == 1 replace multi = 1 if sum_multi_switch_1 == 1 | sum_multi_switch_2 == 1 } drop multi_* drop value_* reshape long value timeFirstClick timeLastClick timeSubmit numClicks, i(id) j(treatment) gen framed = treatment > 10 gen delay = 72 replace delay = 36 if treatment >=6 & treatment <= 10 replace delay = 36 if treatment == 11 | treatment == 13 | treatment == 15 | treatment == 17 | treatment == 19 gen amount = 20 replace amount = 18 if treatment == 2 | treatment == 7 | treatment == 14 | treatment == 13 replace amount = 16 if treatment == 3 | treatment == 8 | treatment == 16 | treatment == 15 replace amount = 14 if treatment == 4 | treatment == 9 | treatment == 18 | treatment == 17 replace amount = 12 if treatment == 5 | treatment == 10 | treatment == 20 | treatment == 19 gen amount_precise = amount // rename treatments such that #framed = #unframed + 10 gen tr_new = tr replace tr_new = 1 if treat == 6 replace tr_new = 2 if treat == 1 replace tr_new = 3 if treat == 7 replace tr_new = 4 if treat == 2 replace tr_new = 5 if treat == 8 replace tr_new = 6 if treat == 3 replace tr_new = 7 if treat == 9 replace tr_new = 8 if treat == 4 replace tr_new = 9 if treat == 10 replace tr_new = 10 if treat == 5 rename treatment tr_old rename tr_new treatment replace treatment = treatment - 10 if framed == 1 replace amount_precise = 20.40 if treatment == 11 | treatment == 1 replace amount_precise = 20.47 if treatment == 12 | treatment == 2 replace amount_precise = 18.47 if treatment == 13 | treatment == 3 replace amount_precise = 18.73 if treatment == 14 | treatment == 4 replace amount_precise = 16.29 if treatment == 15 | treatment == 5 replace amount_precise = 16.80 if treatment == 16 | treatment == 6 replace amount_precise = 14.37 if treatment == 17 | treatment == 7 replace amount_precise = 15.16 if treatment == 18 | treatment == 8 replace amount_precise = 11.58 if treatment == 19 | treatment == 9 replace amount_precise = 11.83 if treatment == 20 | treatment == 10 gen id_alt = 1000*id+treatment sort id_alt order id_alt delay treatment tr_old drop tr_old reshape wide value timeFirstClick timeLastClick timeSubmit numClicks, i(id_alt) j(framed) rename value0 v_unframed rename value1 v_framed rename timeFirstClick0 timeFirstClickUnframed rename timeFirstClick1 timeFirstClickFramed rename timeLastClick0 timeLastClickUnframed rename timeLastClick1 timeLastClickFramed rename timeSubmit0 timeSubmitUnframed rename timeSubmit1 timeSubmitFramed rename numClicks0 numClicksUnframed rename numClicks1 numClicksFramed gen difficulty = 0 replace difficulty = 1 if treatment >= 3 & treatment <= 8 replace difficulty = 2 if treatment >= 9 gen start = 10 replace start = 4.5 if treatment == 3 | treatment == 4 replace start = 2 if treatment == 5 | treatment == 6 | treatment == 9 | treatment == 10 replace start = 0.9 if treatment == 7 | treatment == 8 gen r = . replace r = 0.02 if treatment == 1 replace r = 0.01 if treatment == 2 replace r = 0.04 if treatment == 3 replace r = 0.02 if treatment == 4 replace r = 0.06 if treatment == 5 replace r = 0.03 if treatment == 6 replace r = 0.08 if treatment == 7 replace r = 0.04 if treatment == 8 replace r = 0.05 if treatment == 9 replace r = 0.25 if treatment == 10 gen doublings = 1 replace doublings = 2 if treatment == 3 | treatment == 4 replace doublings = 3 if treatment == 5 | treatment == 6 replace doublings = 4 if treatment == 7 | treatment == 8 replace doublings = 2.5 if treatment == 9 | treatment == 10 replace age = age + 17 forvalues i = 1/10 { gen t`i' = 0 } replace t1 = 1 if test1 == 2 replace t2 = 1 if test2 == 4 replace t3 = 1 if test3 == 4 replace t4 = 1 if test4 == 7 replace t5 = 1 if test5 == 6 replace t6 = 1 if test6 == 4 replace t7 = 1 if test7 == 4 replace t8 = 1 if test8 == 5 replace t9 = 1 if test9 == 5 replace t10 = 1 if test10 == 5 gen score_compounding = t1+t2+t3+t4+t5 gen score_indexing = score - score_compounding gen fl1 = finlit1 == 1 gen fl2 = finlit2 == 1 gen fl3 = finlit3 == 3 gen fl4 = finlit4 == 1 gen fl5 = finlit5 == 2 gen fl_score = (fl1 == 1) * (fl2 == 1) * (fl3 == 1) * (fl4 == 1) * (fl5 == 1) gen fl_sum = (fl1 == 1) + (fl2 == 1) + (fl3 == 1) + (fl4 == 1) + (fl5 == 1) gen fl_score_compound = (fl1 == 1) * (fl2 == 1) * (fl3 == 1) gen fl_sum_compound = (fl1 == 1) + (fl2 == 1) + (fl3 == 1) gen size_error_simple = . replace size_error_simple = 3.20 if treatment == 1 replace size_error_simple = 3.27 if treatment == 2 replace size_error_simple = 7.49 if treatment == 3 replace size_error_simple = 7.75 if treatment == 4 replace size_error_simple = 9.97 if treatment == 5 replace size_error_simple = 10.48 if treatment == 6 replace size_error_simple = 10.88 if treatment == 7 replace size_error_simple = 11.66 if treatment == 8 replace size_error_simple = 5.98 if treatment == 9 replace size_error_simple = 6.23 if treatment == 10 // use midpoint of the interval for analysis replace v_framed = v_framed + 0.1 replace v_unframed = v_unframed + 0.1 replace v_framed = 0 if v_framed <= 0 replace v_unframed = 0 if v_unframed <= 0 ************ monotonicity violations sort id gen v_u_1_i = v_unframed if amount == 12 gen v_u_2_i = v_unframed if amount == 14 gen v_u_3_i = v_unframed if amount == 16 gen v_u_4_i = v_unframed if amount == 18 gen v_u_5_i = v_unframed if amount == 20 by id: egen v_u_1 = max(v_u_1_i) by id: egen v_u_2 = max(v_u_2_i) by id: egen v_u_3 = max(v_u_3_i) by id: egen v_u_4 = max(v_u_4_i) by id: egen v_u_5 = max(v_u_5_i) gen monotonic_u = (v_u_1 <= v_u_2 & v_u_2 <= v_u_3 & v_u_3 <= v_u_4 & v_u_4 <= v_u_5) gen v_f_1_i = v_framed if amount == 12 gen v_f_2_i = v_framed if amount == 14 gen v_f_3_i = v_framed if amount == 16 gen v_f_4_i = v_framed if amount == 18 gen v_f_5_i = v_framed if amount == 20 by id: egen v_f_1 = max(v_f_1_i) by id: egen v_f_2 = max(v_f_2_i) by id: egen v_f_3 = max(v_f_3_i) by id: egen v_f_4 = max(v_f_4_i) by id: egen v_f_5 = max(v_f_5_i) gen monotonic_f = (v_f_1 <= v_f_2 & v_f_2 <= v_f_3 & v_f_3 <= v_f_4 & v_f_4 <= v_f_5) egen tag_id = tag(id) gen duration = durationinseconds/60 /* duration in minutes */ gen afram = ethnicity == 1 gen asian = ethnicity == 2 gen caucasian = ethnicity == 3 gen hispanic = ethnicity == 4 gen other = ethnicity == 5 gen lessThanHighSchool = educ <= 2 gen highSchool = educ == 3 gen voc = educ == 4 gen someCollege = educ == 5 gen college = educ == 6 gen graduate = educ >= 7 gen rural = urban == 3 gen urbanSuburban = urban <= 2 gen fullTime = employed == 3 gen partTime = employed == 2 gen hh1 = hh_size == 1 gen hh2 = hh_size == 2 gen hh3 = hh_size == 3 gen hh4 = hh_size >= 4 gen married = marital == 3 | marital == 4 gen widowed = marital == 6 gen divorced = marital == 1 gen never_married = marital == 2 | marital == 5 gen ownStocks = stocks == 1 drop line1 line2 decision_index drop if test10 == . save "data/dataExpB.dta", replace