Download 24/replication_package/Code/datacleaning.do from chuxuan/REPRO-Bench: direct link, hf CLI and curl.
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60 kB
| /*-------------------------------*/ | |
| *NO CHOICE | |
| /*-------------------------------*/ | |
| clear | |
| import delimited "${raw}NoChoice_deidentified.csv", varnames(1) | |
| drop if status==1 | |
| tab distributionchannel | |
| drop if distributionchannel=="preview" | |
| tab finished | |
| keep if finished==1 | |
| sort newid | |
| quietly by newid: gen dup = cond(_N==1,0,_n) | |
| tab dup | |
| drop if dup!=0 | |
| rename q32 attention | |
| g id=_n | |
| g attentionpassed=attention==3 | |
| keep if attentionpassed==1 | |
| *Treatments | |
| g treatment=1 if condition=="BeforeA" | |
| replace treatment=2 if condition=="AfterA" | |
| replace treatment=3 if condition=="BeforeB" | |
| replace treatment=4 if condition=="AfterB" | |
| label def treat 1 "Before A" 2 "After A" 3 "Before B" 4 "After B" | |
| label val treatment treat | |
| *Beliefs | |
| g beliefbin=q45 | |
| g beliefnum=q43 | |
| *Recommend b | |
| g recommendb=(recommendationa==2 | recommendationb==2) | |
| *Signal | |
| g signalblue=(fl_211_do=="Signal_blue2" | fl_221_do=="Signal_blue2" | fl_229_do=="Signal_blue2" | fl_127_do=="Signal_blue2") | |
| *Conflict | |
| g conflict=1 if treatment<3 & signalblue==1 | |
| replace conflict=1 if treatment>2 & signalblue==0 | |
| replace conflict=0 if conflict==. | |
| *Commission | |
| g incentiveA=(condition=="AfterA" | condition=="BeforeA") | |
| g incentiveB=1-incentiveA | |
| *Recommend incentivized | |
| g recommendincentivized=recommendb if treatment>2 | |
| replace recommendincentivized=1-recommendb if treatment<3 | |
| *Before-After | |
| g before=(treatment==1 | treatment==3) | |
| g after=1-before | |
| *Prosociality | |
| forval i=2(1)5{ | |
| recode q8`i' (1=0) (2=1) | |
| } | |
| rename q82 alpha1 | |
| rename q83 alpha2 | |
| rename q84 alpha3 | |
| rename q85 alpha4 | |
| rename q176 alpha5 | |
| recode alpha5 (1=0) (2=1) | |
| egen alphamiss=rowmiss(alpha1 alpha2 alpha3 alpha4) | |
| tab alphamiss | |
| *alpha1-5 equal 1 is recommend the incentivized option | |
| *RESTRICTING RESPONDENTS TO THOSE WITH COMPLETE ALPHA CHOICES | |
| keep if alphamiss==0 | |
| *Prosociality switch | |
| reshape long alpha, i(id) j(number) | |
| sort id number | |
| g previouschoice=alpha[_n-1] if number>1 | |
| g steptob=(alpha-previouschoice) if number>1 | |
| bys id: egen sumsteptob=total(steptob) | |
| *Alpha value final = number of times you go with the incentive to recommend Y | |
| g alphavalue=0 if sumsteptob==0 & alpha==0 & number==5 /*always choosing X, no incentive*/ | |
| replace alphavalue=5 if sumsteptob==0 & alpha==1 & number==5 /*always choosing Y, incentive*/ | |
| *Alpha value is the question number when the steptob is 1 for those who switch | |
| replace alphavalue=number-1 if sumsteptob==1 & steptob==1 | |
| g inconsistentchoice=(steptob==-1) | |
| bys id: egen inconsistentid=total(inconsistentchoice) | |
| bys id: egen alphavaluefinal=total(alphavalue) | |
| replace alphavaluefinal=. if inconsistentid>0 | |
| tab alphavaluefinal, m | |
| cap drop alphavalue inconsistentchoice previouschoice steptob | |
| reshape wide alpha, i(id) j(number) | |
| *Average alpha | |
| tab alphavaluefinal if treatment!=., m | |
| rename recommendincentivized recommendincentive | |
| g female=(gender==2) | |
| replace age="31" if age=="3i" | |
| destring age, replace | |
| recode englishnative (2=0) | |
| g nodifficulty=(difficulty==2) | |
| replace nodifficulty=. if difficulty==. | |
| label var female "Female" | |
| label var age "Age" | |
| gen seeincentivefirst=(condition=="BeforeA" | condition=="BeforeB") | |
| gen selfish=0 | |
| replace selfish=1 if alphavaluefinal>3 | |
| replace selfish=. if alphavaluefinal==. | |
| gen missingalpha=0 | |
| replace missingalpha=1 if alphavaluefinal==. | |
| gen noconflict=1-conflict | |
| g seeincentivefirst_noconflict=seeincentivefirst*noconflict | |
| g recommendincentive_before=recommendincentive if seeincentivefirst==1 | |
| g recommendincentive_after=recommendincentive if seeincentivefirst==0 | |
| egen stdalpha=std(alphavaluefinal) | |
| g choice="No Choice" | |
| save "${data}nochoice.dta", replace | |
| /*------------------------------*/ | |
| *CHOICE EXPERIMENT | |
| /*------------------------------*/ | |
| *** CLEANING DEIDENTIFIED DATA | |
| clear | |
| import delimited "${raw}Choice1_deidentified.csv", varnames(1) | |
| drop if status==1 | |
| *drop if workerid=="" | |
| tab distributionchannel | |
| drop if distributionchannel=="preview" | |
| tab finished | |
| keep if finished==1 | |
| sort newid | |
| quietly by newid: gen dup = cond(_N==1,0,_n) | |
| tab dup | |
| drop if dup!=0 | |
| rename q32 attention | |
| g id=_n+10000 | |
| g attentionpassed=attention==3 | |
| keep if attentionpassed==1 | |
| ***gen IncentiveB | |
| g incentiveB=. | |
| replace incentiveB=1 if condition=="choiceFreeB" | |
| replace incentiveB=1 if condition=="choicePayB" | |
| replace incentiveB=0 if condition=="choiceFreeA" | |
| replace incentiveB=0 if condition=="choicePayA" | |
| g incentiveA=. | |
| replace incentiveA=1 if condition=="choiceFreeA" | |
| replace incentiveA=1 if condition=="choicePayA" | |
| replace incentiveA=0 if condition=="choiceFreeB" | |
| replace incentiveA=0 if condition=="choicePayB" | |
| **Commission | |
| gen commission="commissionB" if incentiveB==1 | |
| replace commission="commissionA" if incentiveB==0 | |
| *Choice before | |
| g choicebefore=(choicefreeq==1 | choicepay==1) | |
| *Recommendation | |
| g recommendb=(recommendationa==2 | recommendationb==2) | |
| replace recommendb=. if recommendationa==. & recommendationb==. | |
| g recommenda=1-recommendb | |
| g recommendincentive=recommendb if commission=="commissionB" | |
| replace recommendincentive=recommenda if commission=="commissionA" | |
| *Beliefs | |
| g beliefbin=q45 | |
| g belief=q43 | |
| replace belief=q43*100 if q43<1 | |
| *Signal | |
| g signalblue=(fl_298_do=="Signal_blue2" /// | |
| | fl_304_do=="Signal_blue2" /// | |
| | fl_211_do=="Signal_blue2" /// | |
| | fl_221_do=="Signal_blue2" /// | |
| | fl_310_do=="Signal_blue2" /// | |
| | fl_229_do=="Signal_blue2" /// | |
| | fl_325_do=="Signal_blue2" /// | |
| | fl_127_do=="Signal_blue2") | |
| *Conflict | |
| g conflict=0 | |
| replace conflict=1 if signalblue==1 & commission=="commissionA" | |
| replace conflict=1 if signalblue==0 & commission=="commissionB" | |
| *Treatment | |
| g treatment="ChoiceFree" if condition=="choiceFreeA" | condition=="choiceFreeB" | |
| replace treatment="ChoicePay" if condition=="choicePayA" | condition=="choicePayB" | |
| *Random assignment to order | |
| g get=fl_264_do if condition=="choiceFreeA" & choicefreeq==2 | |
| replace get=fl_265_do if condition=="choiceFreeA" & choicefreeq==1 | |
| replace get=fl_289_do if condition=="choiceFreeB" & choicefreeq==1 | |
| replace get=fl_287_do if condition=="choiceFreeB" & choicefreeq==2 | |
| replace get=fl_342_do if condition=="choicePayA" & choicepayq==2 | |
| replace get=fl_272_do if condition=="choicePayA" & choicepayq==1 | |
| replace get=fl_320_do if condition=="choicePayB" & choicepayq==1 | |
| replace get=fl_331_do if condition=="choicePayB" & choicepayq==2 | |
| g getafter=(get=="GetAfter") | |
| g getbefore=1-getafter | |
| g costlydemand=(condition=="choicePayA" | condition=="choicePayB") | |
| g choicewave=1 | |
| g study=2 if costlydemand==0 | |
| replace study=3 if costlydemand==1 | |
| replace age="51" if age=="51`" | |
| replace age="" if age=="re" | |
| destring age, replace | |
| *Prosociality | |
| destring q82 q83 q84 q85 q176, force replace | |
| forval i=2(1)5{ | |
| recode q8`i' (1=0) (2=1) | |
| } | |
| rename q82 alpha1 | |
| rename q83 alpha2 | |
| rename q84 alpha3 | |
| rename q85 alpha4 | |
| rename q176 alpha5 | |
| recode alpha5 (1=0) (2=1) | |
| egen alphamiss=rowmiss(alpha1 alpha2 alpha3 alpha4 alpha5) | |
| keep if alphamiss==0 | |
| g choice="Choice" | |
| drop fl_17_do fl_264_do fl_298_do fl_265_do fl_211_do fl_272_do fl_304_do fl_342_do /// | |
| *fl_289_do fl_221_do fl_310_do fl_287_do fl_229_do fl_320_do fl_320_do fl_325_do fl_331_do fl_127_do | |
| save "${data}choice1.dta", replace | |
| /*-------------------------------*/ | |
| *PROFESSIONALS STUDY | |
| /*-------------------------------*/ | |
| *** CLEAN DE_IDENTIFIED DATA | |
| **PROLIFIC | |
| clear | |
| import delimited "${raw}ProfessionalsProlific_deidentified.csv", varnames(1) | |
| drop if status==1 | |
| drop if distributionchannel=="preview" | |
| keep if finished==1 | |
| sort newid | |
| quietly by newid: gen dup = cond(_N==1,0,_n) | |
| drop if dup>0 | |
| g sample="Prolific" | |
| save "${data}professionals_prolific", replace | |
| *CLOUDRESEARCH | |
| clear | |
| import delimited "${raw}ProfessionalsCloudresearch_deidentified.csv", varnames(1) | |
| g sample="CloudResearch" | |
| drop if status==1 | |
| drop if distributionchannel=="preview" | |
| keep if finished==1 | |
| sort newid | |
| quietly by newid: gen dup = cond(_N==1,0,_n) | |
| tab dup | |
| drop if dup!=0 | |
| drop fl_17_do fl_481_do fl_523_do fl_528_do fl_548_do fl_555_do fl_563_do fl_657_do fl_629_do fl_656_do fl_642_do | |
| rename industry industry_cloudresearch | |
| append using "${data}professionals_prolific.dta", force | |
| g attentionpassed=attention==3 | |
| drop if attentionpassed==0 | |
| *Choice | |
| g choicebefore=(choicefree==1) | |
| replace choicebefore=. if choicefree==. | |
| drop if choicebefore==. | |
| *Beliefs | |
| g beliefbin=q45 | |
| g beliefnum=q43 | |
| g belief=q43 | |
| replace belief=q43*100 if q43<1 | |
| *Recommendation | |
| g recommendb=(recommendationa==2 | recommendationb==2) | |
| replace recommendb=. if recommendationa==. & recommendationb==. | |
| g recommenda=1-recommendb | |
| g recommendincentive=recommenda if condition=="choicefreeA" | |
| replace recommendincentive=recommendb if condition=="choicefreeB" | |
| *Get before | |
| g getafter=(getbefore=="GetAfter") | |
| g getbefore2=(getbefore=="GetBefore") | |
| drop getbefore | |
| rename getbefore2 getbefore | |
| *Signal | |
| g signalblue=signal=="Blue" | |
| *Conflict | |
| g conflict=0 | |
| replace conflict=1 if signalblue==1 & (condition=="choicefreeA") | |
| replace conflict=1 if signalblue==0 & (condition=="choicefreeB") | |
| g incentiveA=(commission=="commissionA") | |
| g incentiveB=1-incentiveA | |
| g costlydemand=0 | |
| g female=(gender==2) | |
| g choice="Professionals" | |
| g beliefcorrect=0 | |
| replace beliefcorrect=1 if beliefbin==4 & signalblue==1 /*signal $2, quality low with 25% chance*/ | |
| replace beliefcorrect=1 if beliefbin==8 & signalblue==0 /*signal $0, quality low with 66.7% chance*/ | |
| g explanationchoice=q211 | |
| destring age, replace | |
| g id=_n+20000 | |
| keep recommendincentive getbefore incentiveB incentiveA /// | |
| costlydemand choicebefore belief conflict signalblue /// | |
| female age sample beliefbin choice beliefcorrect /// | |
| newid explanationchoice jobtitle industry shortid currentcountr | |
| g study=1 | |
| save "${data}professionals.dta", replace | |
| /*-------------------------------*/ | |
| *PROFESSIONALS - JOB TITLES | |
| /*-------------------------------*/ | |
| clear | |
| import excel "${raw}Professionals_jobtitles.xlsx", first case(l) | |
| save "${data}professionals_jobtitles.dta", replace | |
| /*-------------------------------*/ | |
| *CHOICE 2 - REVERSED | |
| /*-------------------------------*/ | |
| *** CLEANING DEIDENTIFIED DATA | |
| clear | |
| import delimited "${raw}Choice2_deidentified.csv", varnames(1) | |
| drop if status==1 | |
| tab distributionchannel | |
| drop if distributionchannel=="preview" | |
| tab finished | |
| keep if finished==1 | |
| sort newid | |
| quietly by newid: gen dup = cond(_N==1,0,_n) | |
| tab dup | |
| drop if dup>0 | |
| drop if q_recaptchascore<.50 | |
| g id=_n+30000 | |
| g attention=attention_a | |
| replace attention=attention_b if attention_b!=. | |
| replace attention=att_highro if att_highro!=. | |
| replace attention=att_highflipped if att_highflipped!=. | |
| drop attention_a attention_b att_highro att_highflipped | |
| g attentionpassed=attention==3 | |
| tab attentionpassed | |
| drop if attentionpassed==0 | |
| rename q211 explanationchoice | |
| replace explanationchoice=q188 if explanationchoice=="" | |
| drop q188 | |
| *Choice before | |
| g choicebefore=. | |
| replace choicebefore=1 if choicefreereghigh==1 | |
| replace choicebefore=0 if choicefreereghigh==2 | |
| *Beliefs | |
| g beliefbin=q45 | |
| *g beliefnum=q43 | |
| g belief=q43 if incentives=="$0.15 " | |
| replace belief=q551 if incentives=="$15 " | |
| replace beliefbin=q550 if incentives=="$15 " | |
| replace belief=q43*100 if q43<1 | |
| *Recommendation | |
| g recommendb=. | |
| replace recommendb=1 if recommendationb==2 | |
| replace recommendb=0 if recommendationb==1 | |
| replace recommendb=1 if recommendationb_flip==2 | |
| replace recommendb=0 if recommendationb_flip==1 | |
| replace recommendb=1 if recommendationa==2 | |
| replace recommendb=0 if recommendationa==1 | |
| replace recommendb=1 if recommendationa_flip==2 | |
| replace recommendb=0 if recommendationa_flip==1 | |
| g recommenda=1-recommendb | |
| g recommendincentive=recommendb if commission=="commissionB" | |
| replace recommendincentive=recommenda if commission=="commissionA" | |
| *Signal | |
| g signalblue=. | |
| *replace signalblue=1 if signal=="Blue" | |
| replace signalblue=1 if fl_272_do=="Signal_blue2" | |
| replace signalblue=1 if fl_459_do=="Signal_blue2HIGHINCENTIVES" | |
| replace signalblue=1 if fl_260_do=="Signal_blue2" | |
| replace signalblue=1 if fl_450_do=="Signal_blue2HIGHINCENTIVES" | |
| replace signalblue=1 if fl_248_do=="Signal_blue2REVERSEPRODUCTORDER" | |
| replace signalblue=1 if fl_508_do=="Signal_blue2REVERSEPRODUCTORDER-HIGHINCENTIVES" | |
| replace signalblue=1 if fl_236_do=="Signal_blue2REVERSEPRODUCTORDER" | |
| replace signalblue=1 if fl_469_do=="Signal_blue2REVERSEPRODUCTORDER-HIGHINCENTIVES" | |
| replace signalblue=1 if fl_163_do=="Signal_blue2" | |
| replace signalblue=1 if fl_476_do=="Signal_blue2HIGHINCENTIVES" | |
| replace signalblue=1 if fl_151_do=="Signal_blue2" | |
| replace signalblue=1 if fl_483_do=="Signal_blue2HIGHINCENTIVES" | |
| replace signalblue=1 if fl_139_do=="Signal_blue2REVERSEPRODUCTORDER" | |
| replace signalblue=1 if fl_491_do=="Signal_blue2REVERSEPRODUCTORDER-HIGHINCENTIVES" | |
| replace signalblue=1 if fl_127_do=="Signal_blue2REVERSEPRODUCTORDER" | |
| replace signalblue=1 if fl_499_do=="Signal_blue2REVERSEPRODUCTORDER-HIGHINCENTIVES" | |
| replace signalblue=1 if signal=="Blue" | |
| replace signalblue=0 if fl_272_do=="Signal_red0" | |
| replace signalblue=0 if fl_459_do=="Signal_red0HIGHINCENTIVES" | |
| replace signalblue=0 if fl_260_do=="Signal_red0" | |
| replace signalblue=0 if fl_450_do=="Signal_red0HIGHINCENTIVES" | |
| replace signalblue=0 if fl_248_do=="Signal_redREVERSEPRODUCTORDER" | |
| replace signalblue=0 if fl_508_do=="Signal_redREVERSEPRODUCTORDER-HIGHINCENTIVES" | |
| replace signalblue=0 if fl_236_do=="Signal_redREVERSEPRODUCTORDER" | |
| replace signalblue=0 if fl_469_do=="Signal_redREVERSEPRODUCTORDER-HIGHINCENTIVES" | |
| replace signalblue=0 if fl_163_do=="Signal_red0" | |
| replace signalblue=0 if fl_476_do=="Signal_red0HIGHINCENTIVES" | |
| replace signalblue=0 if fl_151_do=="Signal_red0" | |
| replace signalblue=0 if fl_483_do=="Signal_red0HIGHINCENTIVES" | |
| replace signalblue=0 if fl_139_do=="Signal_redREVERSEPRODUCTORDER" | |
| replace signalblue=0 if fl_491_do=="Signal_redREVERSEPRODUCTORDER-HIGHINCENTIVES" | |
| replace signalblue=0 if fl_127_do=="Signal_redREVERSEPRODUCTORDER" | |
| replace signalblue=0 if fl_499_do=="Signal_redREVERSEPRODUCTORDER-HIGHINCENTIVES" | |
| replace signalblue=0 if signal=="Red" | |
| *Conflict | |
| g conflict=. | |
| replace conflict=1 if signalblue==0 & commission=="commissionB" | |
| replace conflict=0 if signalblue==1 & commission=="commissionB" | |
| replace conflict=1 if signalblue==1 & commission=="commissionA" | |
| replace conflict=0 if signalblue==0 & commission=="commissionA" | |
| g incentiveshigh=(incentives=="$15 ") | |
| g flippedorder=(uncertainproduct=="Product A") | |
| g costlydemand=0 | |
| g incentiveA=(commission=="commissionA") | |
| g incentiveB=1-incentiveA | |
| gen incentiveleft=. | |
| replace incentiveleft=1 if incentiveB==1 & flippedorder==1 | |
| replace incentiveleft=0 if incentiveB==1 & flippedorder==0 | |
| replace incentiveleft=1 if incentiveA==1 & flippedorder==0 | |
| replace incentiveleft=0 if incentiveA==1 & flippedorder==1 | |
| tab condition | |
| replace condition="ChoiceFree" | |
| g choicewave=2 | |
| g getafter=(getbefore=="GetAfter") | |
| cap drop getbefore | |
| g getbefore=1-getafter | |
| g study=4 | |
| *Prosociality | |
| forval i=2(1)5{ | |
| recode q8`i' (1=0) (2=1) | |
| } | |
| forval i=4(1)8{ | |
| recode q54`i' (1=0) (2=1) | |
| } | |
| g alpha1=q82 if incentiveshigh==0 | |
| replace alpha1=q544 if incentiveshigh==1 | |
| g alpha2=q83 if incentiveshigh==0 | |
| replace alpha2=q545 if incentiveshigh==1 | |
| g alpha3=q84 if incentiveshigh==0 | |
| replace alpha3=q546 if incentiveshigh==1 | |
| g alpha4=q85 if incentiveshigh==0 | |
| replace alpha4=q547 if incentiveshigh==1 | |
| g alpha5=v193 if incentiveshigh==0 | |
| recode alpha5 (1=0) (2=1) | |
| replace alpha5=q548 if incentiveshigh==1 | |
| egen alphamiss=rowmiss(alpha1 alpha2 alpha3 alpha4 alpha5) | |
| keep if alphamiss==0 | |
| g choice="Choice" | |
| drop fl_101_do fl_226_do fl_341_do fl_314_do fl_411_do fl_271_do fl_272_do fl_459_do /// | |
| fl_259_do fl_260_do fl_450_do fl_247_do fl_248_do fl_508_do fl_235_do fl_236_do fl_469_do /// | |
| fl_117_do fl_365_do fl_205_do fl_413_do fl_162_do fl_163_do fl_476_do fl_150_do fl_151_do fl_483_do /// | |
| fl_138_do fl_139_do fl_491_do fl_126_do fl_127_do fl_499_do | |
| save "${data}choice2.dta", replace | |
| /*-------------------------------*/ | |
| *CHOICE 3 - wave3 | |
| /*-------------------------------*/ | |
| *** CLEANING DEIDENTIFIED DATA | |
| clear | |
| import delimited "${raw}Choice3_deidentified.csv", varnames(1) | |
| drop if status==1 | |
| *drop if workerid=="" | |
| tab distributionchannel | |
| drop if distributionchannel=="preview" | |
| tab finished | |
| keep if finished==1 | |
| tab attention | |
| replace attention=q343 if condition=="Highx10" | condition=="Highx100" | |
| keep if attention!=. | |
| gen attentionpassed=(attention==3) | |
| tab attentionpassed | |
| **94.86% passed the attention check (N=2095) out of 2202 who completed the attention check question | |
| drop if attentionpassed!=1 | |
| sort newid | |
| quietly by newid: gen dup = cond(_N==1,0,_n) | |
| tab dup | |
| drop if dup!=0 | |
| drop if q_recaptchascore<.50 | |
| tab status | |
| sort startdate | |
| g id=_n+40000 | |
| **Beliefs | |
| replace beliefbin=beliefbin_high if beliefbin==. | |
| drop beliefbin_high | |
| replace belief=belief_high if belief_high!=. | |
| drop belief_high | |
| replace belief=belief*100 if belief<1 | |
| replace age="" if age=="casian" | |
| destring age, replace | |
| ***Gen recommendB and recommenda dummies | |
| g recommendb=. | |
| replace recommendb=1 if recommendationb==2 | |
| replace recommendb=0 if recommendationb==1 | |
| replace recommendb=1 if recommendationa==2 | |
| replace recommendb=0 if recommendationa==1 | |
| g recommenda=1-recommendb | |
| ***gen IncentiveB | |
| g incentiveB=. | |
| replace incentiveB=1 if commission=="commissionB" | |
| replace incentiveB=0 if commission=="commissionA" | |
| g incentiveA=. | |
| replace incentiveA=1 if commission=="commissionA" | |
| replace incentiveA=0 if commission=="commissionB" | |
| *GET by treatment | |
| g getafter=(getbefore=="GetAfter") | |
| cap drop getbefore | |
| g getbefore=1-getafter | |
| **gen bluesignal dummy | |
| g signalblue=. | |
| replace signalblue=1 if signal=="Blue" | |
| replace signalblue=1 if fl_750_do=="SignalBlue_HighIncentives" | |
| replace signalblue=1 if fl_773_do=="SignalBlue_HighIncentives" | |
| replace signalblue=1 if fl_785_do=="SignalBlue_HighIncentives" | |
| replace signalblue=1 if fl_528_do=="Signal_blue2" | |
| replace signalblue=1 if fl_555_do=="Signal_blue2" | |
| replace signalblue=1 if fl_555_do=="Signal_blue2" | |
| replace signalblue=1 if fl_629_do=="Signal_blue2" | |
| replace signalblue=1 if fl_642_do=="Signal_blue2" | |
| replace signalblue=0 if signal=="Red" | |
| replace signalblue=0 if fl_750_do=="SignalRed_highIncentives" | |
| replace signalblue=0 if fl_773_do=="SignalRed_highIncentives" | |
| replace signalblue=0 if fl_785_do=="SignalRed_highIncentives" | |
| replace signalblue=0 if fl_528_do=="Signal_red0" | |
| replace signalblue=0 if fl_555_do=="Signal_red0" | |
| replace signalblue=0 if fl_555_do=="Signal_red0" | |
| replace signalblue=0 if fl_629_do=="Signal_red0" | |
| replace signalblue=0 if fl_642_do=="Signal_red0" | |
| g conflict=. | |
| replace conflict=1 if signalblue==0 & commission=="commissionB" | |
| replace conflict=0 if signalblue==1 & commission=="commissionB" | |
| replace conflict=1 if signalblue==1 & commission=="commissionA" | |
| replace conflict=0 if signalblue==0 & commission=="commissionA" | |
| tab commission | |
| g recommendincentive=recommendb if commission=="commissionB" | |
| replace recommendincentive=recommenda if commission=="commissionA" | |
| gen choicebefore=. | |
| replace choicebefore=1 if choicefree==1 | |
| replace choicebefore=0 if choicefree==2 | |
| replace choicebefore=1 if choicepaybefore==1 | |
| replace choicebefore=0 if choicepaybefore==2 | |
| replace choicebefore=0 if choicepayafter==2 | |
| replace choicebefore=1 if choicepayafter==1 | |
| *** DUMMIES FOR STAKE TREATMENTS | |
| gen HighStakes="" | |
| replace HighStakes=condition if condition=="Highx10" | |
| replace HighStakes=condition if condition=="Highx100" | |
| gen Highx10=0 | |
| replace Highx10=1 if condition=="Highx10" | |
| gen Highx100=0 | |
| replace Highx100=1 if condition=="Highx100" | |
| replace condition="ChoiceFree" if Highx10==1 | |
| replace condition="ChoiceFree" if Highx100==1 | |
| **Info avoidance | |
| tab ia_choice | |
| gen chooseblindness=ia_choice | |
| replace chooseblindness=0 if ia_choice==2 | |
| tab chooseblindness | |
| gen ia_recommend1=. | |
| replace ia_recommend1=1 if ia_rec_quality0==1 | ia_recq2==1 | ia_rec_both2==1 | ia_rec_both0==1 | |
| replace ia_recommend1=0 if ia_rec_quality0==2 | ia_recq2==2 | ia_rec_both2==2 | ia_rec_both0==2 | |
| gen ia_recommendincentive=1 if ia_recommend1==1 & ia_incentive=="Product 1" | |
| replace ia_recommendincentive=0 if ia_recommend1==0 & ia_incentive=="Product 1" | |
| replace ia_recommendincentive=1 if ia_recommend1==0 & ia_incentive=="Product 2" | |
| replace ia_recommendincentive=0 if ia_recommend1==1 & ia_incentive=="Product 2" | |
| ***Prosociality | |
| forval i=1(1)5{ | |
| recode alpha`i' (1=0) (2=1) | |
| } | |
| egen alphamiss=rowmiss(alpha1 alpha2 alpha3 alpha4) | |
| keep if alphamiss==0 | |
| gen study=6 | |
| rename q211 explanationchoice | |
| gen costlydemand=0 | |
| replace costlydemand=1 if condition=="PayBefore" | |
| g sample="MTurk" | |
| drop fl_728_do fl_816_do fl_737_do fl_759_do fl_750_do fl_761_do fl_773_do fl_778_do /// | |
| fl_785_do fl_793_do fl_800_do fl_825_do fl_837_do fl_903_do fl_843_do fl_870_do fl_850_do /// | |
| fl_880_do fl_855_do fl_889_do fl_17_do fl_481_do fl_523_do fl_528_do fl_548_do fl_555_do /// | |
| fl_563_do fl_657_do fl_629_do fl_656_do fl_642_do fl_933_do fl_916_do fl_935_do | |
| g choice="Choice" | |
| save "${data}choice3.dta", replace | |
| /*-------------------------------*/ | |
| *POOLING ALL CHOICE WAVES INTO 1 DATASET | |
| /*-------------------------------*/ | |
| u "${data}choice1.dta", clear | |
| append using "${data}choice2.dta" | |
| append using "${data}choice3.dta" | |
| *Prosociality - switch point | |
| reshape long alpha, i(id) j(number) | |
| sort id number | |
| g previouschoice=alpha[_n-1] if number>1 | |
| g steptob=(alpha-previouschoice) if number>1 | |
| bys id: egen sumsteptob=total(steptob) | |
| *Alpha value final = number of times you go with the incentive to recommend Y | |
| g alphavalue=0 if sumsteptob==0 & alpha==0 & number==5 /*always choosing X, no incentive*/ | |
| replace alphavalue=5 if sumsteptob==0 & alpha==1 & number==5 /*always choosing Y, incentive*/ | |
| *Alpha value is the question number when the steptob is 1 for those who switch | |
| replace alphavalue=number-1 if sumsteptob==1 & steptob==1 | |
| g inconsistentchoice=(steptob==-1) | |
| bys id: egen inconsistentid=total(inconsistentchoice) | |
| bys id: egen alphavaluefinal=total(alphavalue) | |
| replace alphavaluefinal=. if inconsistentid>0 | |
| cap drop alphavalue inconsistentchoice previouschoice steptob | |
| reshape wide alpha, i(id) j(number) | |
| *ATTENTIVE GUYS are DROPPED FOR INCOMPLETE ANSWERS | |
| *KEEP CONSISTENT GUYS IN ALPHA TASK | |
| tab alphavaluefinal, m | |
| egen stdalpha=std(alphavaluefinal) | |
| gen selfish=(alphavaluefinal>3) | |
| replace selfish=. if alphavaluefinal==. | |
| *tab attention0, m | |
| *keep if attention0==1 | |
| destring gender age englishnative difficulty, force replace | |
| g female=(gender==2) | |
| recode englishnative (2=0) | |
| g nodifficulty=(difficulty==2) | |
| replace nodifficulty=. if difficulty==. | |
| label var female "Female" | |
| label var age "Age" | |
| g beliefcorrect=0 | |
| replace beliefcorrect=1 if beliefbin==4 & signalblue==1 | |
| replace beliefcorrect=1 if beliefbin==8 & signalblue==0 | |
| replace sample="MTurk" | |
| replace incentiveleft=0 if study!=4 | |
| replace incentiveshigh=0 if study!=4 | |
| drop if choicebefore==. | |
| tab condition, m | |
| replace condition="ChoiceFree" if condition=="choiceFreeA" | |
| replace condition="ChoiceFree" if condition=="choiceFreeB" | |
| replace condition="PayBefore" if condition=="choicePayA" | |
| replace condition="PayBefore" if condition=="choicePayB" | |
| keep id startdate enddate attentionpassed recommendincentive getbefore incentiveB incentiveA commission costlydemand /// | |
| choicebefore belief beliefbin conflict signalblue female age selfish stdalpha /// | |
| alphavaluefinal beliefcorrect newid shortid /// | |
| sample choice incentiveshigh flippedorder /// | |
| incentiveleft condition study Highx10 Highx100 chooseblindness | |
| append using "${data}professionals.dta" | |
| rename costlydemand incentivecostly | |
| g qualitycostly=0 | |
| replace qualitycostly=1 if condition=="PayAfter" | |
| g professionals=(study==1) | |
| g prolific=(sample=="Prolific") | |
| g cloudresearch=(sample=="CloudResearch") | |
| gen professionalscloudresearch=0 if professionals==1 & cloudresearch==1 | |
| replace professionalscloudresearch=1 if professionals==1 & cloudresearch==1 | |
| replace incentiveshigh=0 if incentiveshigh==. | |
| replace incentiveleft=0 if incentiveleft==. | |
| replace Highx10=0 if Highx10==. | |
| replace Highx100=0 if Highx100==. | |
| g mturkwave=. | |
| replace mturkwave=1 if study==2 | study==3 | |
| replace mturkwave=2 if study==4 | |
| replace mturkwave=3 if study==6 | |
| ***drop 1 participant <18 to comply w IRB rules | |
| drop if age<18 | |
| replace age=. if age==545 | |
| replace condition="ChoiceFree_Professionals" if study==1 | |
| tab condition | |
| drop if choicebefore==. | |
| replace study=7 if study==6 & condition=="PayBefore" | |
| replace study=8 if study==6 & condition=="PayAfter" | |
| ** waves | |
| g wave1=(study==2 | study==3) | |
| g wave2=(study==4) | |
| g wave3=(study==6 | study==7 | study==8) | |
| **professionals cloudresearch | |
| replace professionalscloudresearch=0 if professionalscloudresearch==. | |
| **probabilistic incentives | |
| g probabilistic_incentive=1 if incentiveshigh==1 | |
| replace probabilistic_incentive=1 if professionals==1 | |
| replace probabilistic_incentive=0 if professionals==0 & incentiveshigh==0 | |
| **locatedUS | |
| g locatedus=1 if study>1 | |
| replace locatedus=1 if study==1 & prolific==0 | |
| replace locatedus=1 if study==1 & prolific==1 & currentcountryofresidence=="United States" | |
| replace locatedus=0 if study==1 & prolific==1 & currentcountryofresidence!="United States" | |
| drop currentcountryofresidence | |
| **For appendix | |
| g wave="AMT-1" if wave1==1 | |
| replace wave="AMT-2" if wave2==1 | |
| replace wave="AMT-3" if wave3==1 | |
| replace wave="Prolific/CloudResearch" if study==1 | |
| g incentivedesign="0.15" if wave1==1 | |
| replace incentivedesign="15 (to 1 out of 100)" if incentiveshigh==1 | wave=="Prolific/CloudResearch" | |
| replace incentivedesign="1.50" if Highx10==1 | |
| replace incentivedesign="15 (to everyone)" if Highx100==1 | |
| replace incentivedesign="0.15" if wave2==1 & incentiveshigh==0 | |
| replace incentivedesign="0.15" if wave3==1 & Highx10==0 & Highx100==0 | |
| g year=2019 if wave1==1 | |
| replace year=2020 if wave2==1 | wave=="Prolific/CloudResearch" | |
| replace year=2021 if wave3==1 | |
| g treatment=0 if condition=="ChoiceFree" | |
| replace treatment=1 if professionals==1 | |
| replace treatment=2 if condition=="PayBefore" | |
| replace treatment=3 if condition=="PayAfter" | |
| gen selfishseeincentivecostly=stdalpha*incentivecostly | |
| gen selfishseequalitycostly=stdalpha*qualitycostly | |
| gen committ=1-choicebefore | |
| *Separate dummies, instead of factor variables in regression | |
| g professionalsfree=(professionals==1) | |
| g seeincentivecostly=condition=="PayBefore" | |
| g seequalitycostly=condition=="PayAfter" | |
| g incentiveshigh_incentiveleft=incentiveshigh*incentiveleft | |
| *blinding | |
| g avoid_incentiveinfo=(chooseblindness==1) | |
| replace avoid_incentiveinfo=. if chooseblindness==. | |
| gen choiceafter=1-choicebefore | |
| **Recommendations | |
| ***Gen indicator for whether participants get their desired choice of info order | |
| gen getyourchoice=0 | |
| replace getyourchoice=1 if choicebefore==1 & getbefore==1 | |
| replace getyourchoice=1 if choicebefore==0 & getbefore==0 | |
| label var getyourchoice "Random Assignment to Preferred Order" | |
| g choicebefore_getyourchoice=choicebefore*getyourchoice | |
| label var choicebefore_getyourchoice "Prefer to See Incentive First X Random Assignment" | |
| g getbeforenoconflict=getbefore*(1-conflict) | |
| g noconflict=1-conflict | |
| g choicebeforenoconflict=choicebefore*(1-conflict) | |
| g choicebefore_getbefore=choicebefore*getbefore | |
| g choicebefore_getbefore_nocon=choicebefore*getbefore*(1-conflict) | |
| g notgetyourchoice=(1-getyourchoice) | |
| g notgetyourchoicenoconflict=(1-getyourchoice)*(1-conflict) | |
| g choicebeforenotgetyourchoice=notgetyourchoice*choicebefore | |
| gen choicebeforegetbefore=choicebefore*getbefore | |
| ***Beliefs | |
| g logsignalhigh=-log(2) /*prob signal H if q=L 0.4 / prob signal H if q=H 0.8 --> log(1/2)=-log(2)*/ | |
| g logsignallow=log(3) /*prob signal L if q=L 0.6 / prob signal L if quality H 0.2 --> log(3) */ | |
| g logitbelief=log(belief/(100-belief)) /*that B is low quality*/ | |
| g good=0 | |
| replace good=logsignallow if incentiveA==1 & signalblue==0 | |
| replace good=logsignalhigh if incentiveB==1 & signalblue==1 | |
| g bad=0 | |
| replace bad=logsignallow if incentiveB==1 & signalblue==0 | |
| replace bad=logsignalhigh if incentiveA==1 & signalblue==1 | |
| g goodchoicebefore=good*choicebefore | |
| g badchoicebefore=bad*choicebefore | |
| g goodgetyourchoice=good*getyourchoice | |
| g badgetyourchoice=bad*getyourchoice | |
| g goodnotgetyourchoice=good*(1-getyourchoice) | |
| g badnotgetyourchoice=bad*(1-getyourchoice) | |
| g goodchoicebeforenotgetyourchoice=good*(1-getyourchoice)*choicebefore | |
| g badchoicebeforenotgetyourchoice=bad*(1-getyourchoice)*choicebefore | |
| g bayesianposterior=33 if signalblue==1 | |
| replace bayesianposterior=75 if signalblue==0 | |
| label var good "Good news (log odds incl.)" | |
| label var bad "Bad news (log odds incl.)" | |
| label var badchoicebefore "Bad news (log) X Pref Inc 1st" | |
| label var goodchoicebefore "Good news (log) X Pref Inc 1st" | |
| label var goodgetyourchoice "Good news (log) X Get Choice" | |
| label var badgetyourchoice "Bad news (log) X Get Choice" | |
| label var goodnotgetyourchoice "Good news (log) X Not Get Choice" | |
| label var badnotgetyourchoice "Bad news (log) X Not Get Choice" | |
| label var goodchoicebeforenotgetyourchoice "Good news (log) X Prefer Inc 1st X Not Get Choice" | |
| label var badchoicebeforenotgetyourchoice "bad news (log) X Prefer Inc 1st X Not Get Choice" | |
| label var bayesianposterior "Bayesian Posterior" | |
| g badsignal=0 | |
| replace badsignal=1 if incentiveB==1 & signalblue==0 | |
| replace badsignal=1 if incentiveA==1 & signalblue==1 | |
| *Gen variables for those who update in correct direction | |
| *belief is likelihood that quality is LOW, so if signal is blue($2), likelihood should be 25 | |
| g updatecorrect=(belief<50) if signalblue==1 | |
| replace updatecorrect=(belief>50) if signalblue==0 | |
| g updatedirection=1 if signalblue==1 & belief<50 | |
| replace updatedirection=1 if signalblue==0 & belief>50 | |
| replace updatedirection=0 if belief==50 | |
| replace updatedirection=-1 if belief>50 & signalblue==1 | |
| replace updatedirection=-1 if belief<50 & signalblue==0 | |
| g updatewrong=(updatedirection==-1) | |
| **cumulative beliefs distance | |
| g beliefdistance=belief-33.3 if signalblue==1 /*positive difference=too little updating*/ | |
| replace beliefdistance=75-belief if signalblue==0 /*positive difference=too little updating*/ | |
| g relbeliefdistance=(50-belief)/(50-33) if signalblue==1 | |
| replace relbeliefdistance=(50-belief)/(50-75) if signalblue==0 | |
| **correct direction - incentivized measure | |
| *Prob quality of B is low, bin #5 - 41-50% | |
| g correctdirbin=0 | |
| replace correctdirbin=1 if signalblue==1 & beliefbin<6 & beliefbin!=. /*if signal is blue, $2, it decreases*/ | |
| replace correctdirbin=1 if signalblue==0 & beliefbin>4 & beliefbin!=. /*if signal is blue, $0, it decreases*/ | |
| *correct bin - incentivized measure | |
| g beliefinbin=0 | |
| replace beliefinbin=1 if belief<11 & beliefbin==1 | |
| replace beliefinbin=1 if belief>10 & belief<21 & beliefbin==2 | |
| replace beliefinbin=1 if belief>20 & belief<31 & beliefbin==3 | |
| replace beliefinbin=1 if belief>30 & belief<41 & beliefbin==4 | |
| replace beliefinbin=1 if belief>40 & belief<51 & beliefbin==5 | |
| replace beliefinbin=1 if belief>50 & belief<61 & beliefbin==6 | |
| replace beliefinbin=1 if belief>60 & belief<71 & beliefbin==7 | |
| replace beliefinbin=1 if belief>70 & belief<81 & beliefbin==8 | |
| replace beliefinbin=1 if belief>80 & belief<91 & beliefbin==9 | |
| replace beliefinbin=1 if belief>90 & belief!=. & beliefbin==10 | |
| replace beliefinbin=. if belief==. | beliefbin==. | |
| ** belief at prior | |
| g belief_prior=0 | |
| replace belief_prior=1 if beliefbin==5 | |
| replace belief_prior=. if beliefbin==. | |
| *** belief at prior - continuous | |
| g belief_prior_continuos=0 | |
| replace belief_prior_continuos=1 if belief==50 | |
| replace belief_prior_continuos=. if belief==. | |
| drop newid | |
| save "${data}choice_experiments.dta", replace | |
| /*-----CHOICE - CODED EXPLANATIONS OF CHOICE -------*/ | |
| *IMPORT EXPLANATIONS CSV | |
| clear | |
| import excel "${raw}Choice_explanations_deidentified.xlsx", first case(l) | |
| save "${data}coding_explanations.dta", replace | |
| u "${data}choice_experiments.dta", clear | |
| keep if mturkwave==2 | professionals==1 | |
| rename id participant_id | |
| g id=shortid | |
| bys id: egen countid=count(id) | |
| tab countid study | |
| drop if alphavaluefinal==. & study!=1 | |
| merge 1:m shortid using "${data}coding_explanations.dta", force | |
| rename _merge _mergedecisions | |
| keep if _mergedecisions==3 | |
| tab countid study if rater==1 | |
| replace condition="ChoiceFree_Professionals" if study==1 | |
| egen rowsum=rowtotal(limitbias nomatter commission_expl feeling other) | |
| g mergedcategory=1 if limitbias==1 & rowsum<2 | |
| replace mergedcategory=2 if nomatter==1 & rowsum<2 | |
| replace mergedcategory=3 if commission_expl==1 & rowsum<2 | |
| replace mergedcategory=4 if (feeling==1 | other==1) & (rowsum==1 | rowsum==2) | |
| replace mergedcategory=5 if rowsum==0 | |
| replace mergedcategory=6 if rowsum>1 & limitbias==1 & nomatter==1 | |
| replace mergedcategory=7 if rowsum>1 & limitbias==1 & commission_expl==1 | |
| replace mergedcategory=8 if rowsum>1 & limitbias==1 & (feeling==1 | other==1) | |
| replace mergedcategory=9 if rowsum>1 & commission_expl==1 & nomatter==1 | |
| replace mergedcategory=10 if rowsum>1 & nomatter==1 & (feeling==1 | other==1) | |
| replace mergedcategory=11 if rowsum>1 & commission_expl==1 & (feeling==1 | other==1) | |
| g otherreason=(other==1 | feeling==1) | |
| reshape wide limitbias nomatter commission_expl feeling other comments rowsum /// | |
| mergedcategory otherreason, i(shortid) j(rater) | |
| g nocategory1=(limitbias1==0 & nomatter1==0 & commission_expl1==0 & otherreason1==0) | |
| g nocategory2=(limitbias2==0 & nomatter2==0 & commission_expl2==0 & otherreason2==0) | |
| foreach v of newlist limitbias nomatter commission_expl feeling other otherreason nocategory { | |
| egen `v'=rowmean(`v'1 `v'2) | |
| } | |
| egen mergedcategory=rowmean(mergedcategory1 mergedcategory2) | |
| drop shortid | |
| save "${data}Choice_coding_explanations.dta", replace | |
| /*-------------------------------*/ | |
| *STAKES STUDY | |
| /*-------------------------------*/ | |
| *** CLEANING DEIDENTIFIED DATA | |
| clear | |
| import delimited "${raw}Stakes_deidentified.csv", varnames(1) | |
| drop if status==1 | |
| tab distributionchannel | |
| drop if distributionchannel=="preview" | |
| tab finished | |
| keep if finished==1 | |
| g attentionpassed=attention==3 | |
| keep if attentionpassed==1 | |
| sort newid | |
| quietly by newid: gen dup = cond(_N==1,0,_n) | |
| tab dup | |
| drop if dup!=0 | |
| drop if q_recaptchascore<.50 | |
| g id=_n+50000 | |
| *Treatment | |
| g condition2=0.30 if condition=="PayBefore_HighCommission" | |
| replace condition2=0.15 if condition=="PayBefore_main" | |
| replace condition2=0.01 if condition=="PayBeforeLowCommission" | |
| recode choicepaybefore (2=0) | |
| recode choicehighcommission (2=0) | |
| recode choicelowcommission (2=0) | |
| g choicebefore=choicepaybefore if condition=="PayBefore_main" | |
| replace choicebefore=choicehighcommission if condition=="PayBefore_HighCommission" | |
| replace choicebefore=choicelowcommission if condition=="PayBeforeLowCommission" | |
| *Signal | |
| g signalblue=(signal=="Blue") | |
| *Beliefs | |
| g beliefbin=q45 | |
| g belief=q43 | |
| g beliefcorrect=0 | |
| replace beliefcorrect=1 if beliefbin==4 & signalblue==1 | |
| replace beliefcorrect=1 if beliefbin==8 & signalblue==0 | |
| *Recommendation | |
| g recommendb=(recommendationa==2 | recommendationb==2) | |
| g recommenda=1-recommendb | |
| g recommendincentive=recommenda if commission=="commissionA" | |
| replace recommendincentive=recommendb if commission=="commissionB" | |
| *Conflict | |
| g conflict=0 | |
| replace conflict=1 if signalblue==1 & commission=="commissionA" | |
| replace conflict=1 if signalblue==0 & commission=="commissionB" | |
| *Get before | |
| g getbeforenum=(fl_523_do=="GetBeforeIncentiveforA" | /// | |
| fl_548_do=="GetBeforeIncentiveforA" | /// | |
| fl_657_do=="GetBeforeIncentiveforB" | /// | |
| fl_656_do=="GetBeforeIncentiveforB" ) | |
| drop getbefore | |
| rename getbeforenum getbefore | |
| destring age, replace | |
| **Gender | |
| gen female=. | |
| replace female=1 if gender==2 | |
| replace female=0 if gender==1 | |
| *Prosociality | |
| forval i=2(1)5{ | |
| recode q8`i' (1=0) (2=1) | |
| } | |
| rename q82 alpha1 | |
| rename q83 alpha2 | |
| rename q84 alpha3 | |
| rename q85 alpha4 | |
| rename q176 alpha5 | |
| recode alpha5 (1=0) (2=1) | |
| egen alphamiss=rowmiss(alpha1 alpha2 alpha3 alpha4) | |
| keep if alphamiss==0 | |
| *Prosociality - switch point | |
| reshape long alpha, i(id) j(number) | |
| sort id number | |
| g previouschoice=alpha[_n-1] if number>1 | |
| g steptob=(alpha-previouschoice) if number>1 | |
| bys id: egen sumsteptob=total(steptob) | |
| *Alpha value final = number of times you go with the incentive to recommend Y | |
| g alphavalue=0 if sumsteptob==0 & alpha==0 & number==5 /*always choosing X, no incentive*/ | |
| replace alphavalue=5 if sumsteptob==0 & alpha==1 & number==5 /*always choosing Y, incentive*/ | |
| *Alpha value is the question number when the steptob is 1 for those who switch | |
| replace alphavalue=number-1 if sumsteptob==1 & steptob==1 | |
| g inconsistentchoice=(steptob==-1) | |
| bys id: egen inconsistentid=total(inconsistentchoice) | |
| bys id: egen alphavaluefinal=total(alphavalue) | |
| replace alphavaluefinal=. if inconsistentid>0 | |
| cap drop alphavalue inconsistentchoice previouschoice steptob | |
| reshape wide alpha, i(id) j(number) | |
| *ATTENTIVE GUYS are DROPPED FOR INCOMPLETE ANSWERS | |
| *KEEP CONSISTENT GUYS IN ALPHA TASK | |
| tab alphavaluefinal, m | |
| gen selfish=(alphavaluefinal>3) | |
| replace selfish=. if alphavaluefinal==. | |
| g choice="Stakes" | |
| drop if choicebefore==. | |
| g conditionnum=1 if condition=="PayBeforeLowCommission" | |
| replace conditionnum=2 if condition=="PayBefore_main" | |
| replace conditionnum=3 if condition=="PayBefore_HighCommission" | |
| keep if conditionnum!=. | |
| label var female "Female" | |
| label var age "Age" | |
| replace age=61 if age==611 | |
| g commissionlow=conditionnum==1 | |
| g commissionintermediate=conditionnum==2 | |
| g commissionhigh=conditionnum==3 | |
| g noconflict=1-conflict | |
| g choicebeforenoconflict=choicebefore*noconflict | |
| g incentiveB=commission=="commissionB" | |
| g getyourchoice=0 | |
| replace getyourchoice=1 if choicebefore==1 & getbefore==1 | |
| replace getyourchoice=1 if choicebefore==0 & getbefore==0 | |
| g notgetyourchoice=1-getyourchoice | |
| g choicebeforenotgetyourchoice=choicebefore*notgetyourchoice | |
| g notgetyourchoicenoconflict=noconflict*notgetyourchoice | |
| g commissionlowchoicebefore=commissionlow*choicebefore | |
| g commissionhighchoicebefore=commissionhigh*choicebefore | |
| egen stdalpha=std(alphavaluefinal) | |
| drop responseid newid | |
| drop distributionchannel userlanguage | |
| drop fl_17_do fl_481_do fl_523_do fl_528_do fl_548_do fl_555_do fl_563_do fl_657_do fl_629_do fl_656_do fl_642_do | |
| save "${data}stakes.dta", replace | |
| /*-------------------------------*/ | |
| * INFORMATION ARCHITECT STUDY | |
| /*-------------------------------*/ | |
| *** INFORMATION ARCHITECTS***** | |
| *** CLEANING DEIDENTIFIED DATA | |
| clear | |
| import delimited "${raw}InformationArchitect_deidentified.csv", varnames(1) | |
| drop if status==1 | |
| tab distributionchannel | |
| drop if distributionchannel=="preview" | |
| tab finished | |
| keep if finished==1 | |
| sort newid | |
| quietly by newid: gen dup = cond(_N==1,0,_n) | |
| tab dup | |
| drop if dup!=0 | |
| drop if q_recaptchascore<.50 | |
| gen attentionpassed=. | |
| replace attentionpassed=1 if attention==3 | |
| replace attentionpassed=0 if attention==1 | attention==2 | attention==4 | |
| tab attentionpassed | |
| **92.11% passed the attention check (N=549) out of 602 who completed the attention check question | |
| drop if attentionpassed!=1 | |
| sort startdate | |
| gen id=_n+70000 | |
| ** condition | |
| replace condition="IA-Advisor" if condition=="DM-Advisor" | |
| replace condition="IA-Client" if condition=="DM-Client" | |
| **Gender | |
| gen female=. | |
| replace female=1 if gender==2 | |
| replace female=0 if gender==1 | |
| **Age | |
| destring age, replace | |
| gen choicebefore=0 | |
| replace choicebefore=1 if condition=="IA-Advisor" & choicedmadvisor==1 | |
| replace choicebefore=1 if condition=="IA-Client" & choicedmclient==1 | |
| ***Prosociality | |
| forval i=1(1)5{ | |
| recode alpha`i' (1=0) (2=1) | |
| } | |
| egen alphamiss=rowmiss(alpha1 alpha2 alpha3 alpha4) | |
| keep if alphamiss==0 | |
| reshape long alpha, i(id) j(number) | |
| sort id number | |
| g previouschoice=alpha[_n-1] if number>1 | |
| g steptob=(alpha-previouschoice) if number>1 | |
| bys id: egen sumsteptob=total(steptob) | |
| g alphavalue=0 if sumsteptob==0 & alpha==0 & number==5 /*always choosing X, no incentive*/ | |
| replace alphavalue=5 if sumsteptob==0 & alpha==1 & number==5 /*always choosing Y, incentive*/ | |
| replace alphavalue=number-1 if sumsteptob==1 & steptob==1 | |
| g inconsistentchoice=(steptob==-1) | |
| bys id: egen inconsistentid=total(inconsistentchoice) | |
| bys id: egen alphavaluefinal=total(alphavalue) | |
| replace alphavaluefinal=. if inconsistentid>0 | |
| cap drop alphavalue inconsistentchoice previouschoice steptob | |
| reshape wide alpha, i(id) j(number) | |
| gen study=9 | |
| sort choicebefore alphavaluefinal | |
| gen missingalpha=0 | |
| replace missingalpha=1 if alphavaluefinal==. | |
| sort missingalpha choicebefore | |
| gen id_pair=_n | |
| gen IAAdvisor=(condition=="IA-Advisor") | |
| gen IAClient=(condition=="IA-Client") | |
| drop newid | |
| save "${data}InformationArchitect.dta", replace | |
| *** ADVISORS***** | |
| *** CLEANING DEIDENTIFIED DATA | |
| clear | |
| import delimited "${raw}InformationArchitect_Advisor_deidentified.csv", varnames(1) | |
| drop if status==1 | |
| tab distributionchannel | |
| drop if distributionchannel=="preview" | |
| tab finished | |
| keep if finished==1 | |
| **Gender | |
| gen female=. | |
| replace female=1 if gender==2 | |
| replace female=0 if gender==1 | |
| **Age | |
| destring age, replace | |
| **Signal Blue | |
| gen signalblue=. | |
| replace signalblue=1 if fl_211_do=="Signal_blue2" | |
| replace signalblue=0 if fl_211_do=="Signal_red0" | |
| replace signalblue=1 if fl_221_do=="Signal_blue2" | |
| replace signalblue=0 if fl_221_do=="Signal_red0" | |
| replace signalblue=1 if fl_229_do=="Signal_blue2" | |
| replace signalblue=0 if fl_229_do=="Signal_red0" | |
| replace signalblue=1 if fl_127_do=="Signal_blue2" | |
| replace signalblue=0 if fl_127_do=="Signal_red0" | |
| **Beliefs | |
| g beliefcorrect=0 | |
| replace beliefcorrect=1 if beliefbin==4 & signalblue==1 | |
| replace beliefcorrect=1 if beliefbin==8 & signalblue==0 | |
| *Recommendation | |
| g recommendb=(recommendationa==2 | recommendationb==2) | |
| *Conflict | |
| gen conflict=0 | |
| replace conflict=1 if condition=="AfterA" & signalblue==1 | |
| replace conflict=1 if condition=="AfterB" & signalblue==0 | |
| replace conflict=1 if condition=="BeforeA" & signalblue==1 | |
| replace conflict=1 if condition=="BeforeB" & signalblue==0 | |
| **gen id | |
| gen id_advisor=_n+75000 | |
| **Prosociality | |
| forval i=1(1)5{ | |
| recode alpha`i' (1=0) (2=1) | |
| } | |
| reshape long alpha, i(id_advisor) j(number) | |
| sort id_advisor number | |
| g previouschoice=alpha[_n-1] if number>1 | |
| g steptob=(alpha-previouschoice) if number>1 | |
| bys id_advisor: egen sumsteptob=total(steptob) | |
| *Alpha value final = number of times you go with the incentive to recommend Y | |
| g alphavalue=0 if sumsteptob==0 & alpha==0 & number==5 /*always choosing X, no incentive*/ | |
| replace alphavalue=5 if sumsteptob==0 & alpha==1 & number==5 /*always choosing Y, incentive*/ | |
| *Alpha value is the question number when the steptob is 1 for those who switch | |
| replace alphavalue=number-1 if sumsteptob==1 & steptob==1 | |
| g inconsistentchoice=(steptob==-1) | |
| bys id_advisor: egen inconsistentid=total(inconsistentchoice) | |
| bys id_advisor: egen alphavaluefinal=total(alphavalue) | |
| replace alphavaluefinal=. if inconsistentid>0 | |
| cap drop alphavalue inconsistentchoice previouschoice steptob | |
| reshape wide alpha, i(id_advisor) j(number) | |
| gen study=9 | |
| tab conflict | |
| *Recommend incentive | |
| gen recommendincentive=0 | |
| replace recommendincentive=1 if (condition=="AfterA" | condition=="BeforeA" ) & recommendb==0 | |
| replace recommendincentive=1 if (condition=="AfterB" | condition=="BeforeB" ) & recommendb==1 | |
| gen treatment=0 | |
| replace treatment =1 if condition=="BeforeA" | condition=="BeforeB" | |
| replace treatment =2 if condition=="AfterA" | condition=="AfterB" | |
| gen incentiveforA=. | |
| replace incentiveforA=1 if (condition=="AfterA" | condition=="BeforeA" ) | |
| replace incentiveforA=0 if (condition=="AfterB" | condition=="BeforeB" ) | |
| gen incentiveB=1-incentiveforA | |
| drop newid | |
| save "${data}InformationArchitect_advisors.dta", replace | |
| ******* APPENDIX ********* | |
| /*-------------------------------*/ | |
| *NO CHOICE - TOGETHER for APPENDIX | |
| /*-------------------------------*/ | |
| clear | |
| import delimited "${raw}NoChoiceSimoultaneous_deidentified.csv", varnames(1) | |
| drop if status==1 | |
| *drop if workerid=="" | |
| tab distributionchannel | |
| drop if distributionchannel=="preview" | |
| tab finished | |
| keep if finished==1 | |
| sort newid | |
| quietly by newid: gen dup = cond(_N==1,0,_n) | |
| tab dup | |
| drop if dup!=0 | |
| rename q32 attention | |
| g attentionpassed=attention==3 | |
| keep if attentionpassed==1 | |
| tab q_recaptchascore | |
| drop if q_recaptchascore<.5 | |
| sort startdate | |
| gen id=_n + 80000 | |
| *Beliefs | |
| g beliefbin=q45 | |
| g beliefnum=q43 | |
| **Gender | |
| gen female=. | |
| replace female=1 if gender==2 | |
| replace female=0 if gender==1 | |
| gen treatment=0 | |
| replace treatment =1 if condition=="BeforeA" | condition=="BeforeB" | |
| replace treatment =2 if condition=="AfterA" | condition=="AfterB" | |
| replace treatment =3 if condition=="TogetherA" | condition=="TogetherB" | |
| g recommendb=(recommendationa==2 | recommendationb==2) | |
| gen signalblue=. | |
| replace signalblue=1 if fl_259_do=="All-Signalblue-incentiveA" | |
| replace signalblue=0 if fl_259_do=="All-Signalred-incentiveA" | |
| replace signalblue=0 if fl_268_do=="All-Signalred-incentiveB" | |
| replace signalblue=1 if fl_268_do=="All-Signalblue-incentiveB" | |
| replace signalblue=1 if fl_211_do=="Signal_blue2" | |
| replace signalblue=0 if fl_211_do=="Signal_red0" | |
| replace signalblue=1 if fl_221_do=="Signal_blue2" | |
| replace signalblue=0 if fl_221_do=="Signal_red0" | |
| replace signalblue=1 if fl_229_do=="Signal_blue2" | |
| replace signalblue=0 if fl_229_do=="Signal_red0" | |
| replace signalblue=1 if fl_127_do=="Signal_blue2" | |
| replace signalblue=0 if fl_127_do=="Signal_red0" | |
| gen conflict=0 | |
| replace conflict=1 if cond=="AfterA" & signalblue==1 | |
| replace conflict=1 if cond=="AfterB" & signalblue==0 | |
| replace conflict=1 if cond=="BeforeA" & signalblue==1 | |
| replace conflict=1 if cond=="BeforeB" & signalblue==0 | |
| replace conflict=1 if cond=="TogetherA" & signalblue==1 | |
| replace conflict=1 if cond=="TogetherB" & signalblue==0 | |
| tab conflict | |
| gen recommendincentive=0 | |
| replace recommendincentive=1 if (cond=="AfterA" | cond=="BeforeA" | cond=="TogetherA") & recommendb==0 | |
| replace recommendincentive=1 if (cond=="AfterB" | cond=="BeforeB" | cond=="TogetherB") & recommendb==1 | |
| gen incentiveforA=. | |
| replace incentiveforA=1 if (cond=="AfterA" | cond=="BeforeA" | cond=="TogetherA") | |
| replace incentiveforA=0 if (cond=="AfterB" | cond=="BeforeB" | cond=="TogetherB") | |
| gen incentiveB=1-incentiveforA | |
| *Prosociality | |
| forval i=2(1)5{ | |
| recode q8`i' (1=0) (2=1) | |
| } | |
| rename q82 alpha1 | |
| rename q83 alpha2 | |
| rename q84 alpha3 | |
| rename q85 alpha4 | |
| rename q176 alpha5 | |
| recode alpha5 (1=0) (2=1) | |
| egen alphamiss=rowmiss(alpha1 alpha2 alpha3 alpha4) | |
| tab alphamiss | |
| *alpha1-5 equal 1 is recommend the incentivized option | |
| *RESTRICTING RESPONDENTS TO THOSE WITH COMPLETE ALPHA CHOICES | |
| keep if alphamiss==0 | |
| *Prosociality switch | |
| reshape long alpha, i(id) j(number) | |
| sort id number | |
| g previouschoice=alpha[_n-1] if number>1 | |
| g steptob=(alpha-previouschoice) if number>1 | |
| bys id: egen sumsteptob=total(steptob) | |
| *Alpha value final = number of times you go with the incentive to recommend Y | |
| g alphavalue=0 if sumsteptob==0 & alpha==0 & number==5 /*always choosing X, no incentive*/ | |
| replace alphavalue=5 if sumsteptob==0 & alpha==1 & number==5 /*always choosing Y, incentive*/ | |
| *Alpha value is the question number when the steptob is 1 for those who switch | |
| replace alphavalue=number-1 if sumsteptob==1 & steptob==1 | |
| g inconsistentchoice=(steptob==-1) | |
| bys id: egen inconsistentid=total(inconsistentchoice) | |
| bys id: egen alphavaluefinal=total(alphavalue) | |
| replace alphavaluefinal=. if inconsistentid>0 | |
| tab alphavaluefinal, m | |
| cap drop alphavalue inconsistentchoice previouschoice steptob | |
| reshape wide alpha, i(id) j(number) | |
| *alpha | |
| tab alphavaluefinal if treatment!=., m | |
| gen seeincentivefirst=(treatment==1) | |
| gen Together=(treatment==3) | |
| gen noconflict=1-conflict | |
| gen wave=2 | |
| gen missingalpha=(alphavaluefinal==.) | |
| drop responseid newid shortid | |
| save "${data}NoChoiceSimoultaneous.dta", replace | |
| /*-------------------------------*/ | |
| *CHOICE DETERMINISTIC | |
| /*-------------------------------*/ | |
| clear | |
| import delimited "${raw}ChoiceDeterministic_deidentified.csv", varnames(1) | |
| drop if status==1 | |
| tab distributionchannel | |
| drop if distributionchannel=="preview" | |
| tab finished | |
| keep if finished==1 | |
| sort newid | |
| quietly by newid: gen dup = cond(_N==1,0,_n) | |
| tab dup | |
| drop if dup!=0 | |
| drop if q_recaptchascore<.50 | |
| g id=_n + 90000 | |
| tab attention, m | |
| g attentionpassed=attention==3 | |
| tab attentionpassed | |
| **78.89% passed the attention check (N=953) out of 1200 who completed the attention check question and were not excluded according to the criteria above | |
| drop if attentionpassed!=1 | |
| tab belief | |
| replace belief=belief*100 if belief<1 | |
| ***Gen recommendB and recommenda dummies | |
| g recommendb=. | |
| replace recommendb=1 if recommendationb==2 | |
| replace recommendb=0 if recommendationb==1 | |
| replace recommendb=1 if recommendationa==2 | |
| replace recommendb=0 if recommendationa==1 | |
| g recommenda=1-recommendb | |
| ***gen IncentiveB | |
| g incentiveB=. | |
| replace incentiveB=1 if commission=="commissionB" | |
| replace incentiveB=0 if commission=="commissionA" | |
| g incentiveA=. | |
| replace incentiveA=1 if commission=="commissionA" | |
| replace incentiveA=0 if commission=="commissionB" | |
| *GET by treatment | |
| g getafter=(getbefore=="GetAfter") | |
| cap drop getbefore | |
| g getbefore=1-getafter | |
| **gen bluesignal dummy | |
| g signalblue=. | |
| replace signalblue=1 if fl_528_do=="Signal_blue2" | |
| replace signalblue=1 if fl_1034_do=="Signal_blue2" | |
| replace signalblue=1 if fl_555_do=="Signal_blue2" | |
| replace signalblue=1 if fl_1047_do=="Signal_blue2" | |
| replace signalblue=1 if fl_629_do=="Signal_blue2" | |
| replace signalblue=1 if fl_642_do=="Signal_blue2" | |
| replace signalblue=1 if fl_1060_do=="Signal_blue2" | |
| replace signalblue=1 if fl_1073_do=="Signal_blue2" | |
| replace signalblue=0 if fl_528_do=="Signal_red0" | |
| replace signalblue=0 if fl_555_do=="Signal_red0" | |
| replace signalblue=0 if fl_1047_do=="Signal_red0" | |
| replace signalblue=0 if fl_1034_do=="Signal_red0" | |
| replace signalblue=0 if fl_629_do=="Signal_red0" | |
| replace signalblue=0 if fl_642_do=="Signal_red0" | |
| replace signalblue=0 if fl_1060_do=="Signal_red0" | |
| replace signalblue=0 if fl_1073_do=="Signal_red0" | |
| drop if signalblue==. | |
| g conflict=. | |
| replace conflict=1 if signalblue==0 & commission=="commissionB" | |
| replace conflict=0 if signalblue==1 & commission=="commissionB" | |
| replace conflict=1 if signalblue==1 & commission=="commissionA" | |
| replace conflict=0 if signalblue==0 & commission=="commissionA" | |
| tab commission | |
| g recommendincentive=recommendb if commission=="commissionB" | |
| replace recommendincentive=recommenda if commission=="commissionA" | |
| gen choicebefore=. | |
| replace choicebefore=1 if choicefree==1 | |
| replace choicebefore=0 if choicefree==2 | |
| **Gender | |
| gen female=. | |
| replace female=1 if gender==2 | |
| replace female=0 if gender==1 | |
| ***Prosociality | |
| forval i=1(1)5{ | |
| recode alpha`i' (1=0) (2=1) | |
| } | |
| egen alphamiss=rowmiss(alpha1 alpha2 alpha3 alpha4) | |
| keep if alphamiss==0 | |
| g sample="MTurk" | |
| rename q211 explanationchoice | |
| gen costlydemand=0 | |
| reshape long alpha, i(id) j(number) | |
| sort id number | |
| g previouschoice=alpha[_n-1] if number>1 | |
| g steptob=(alpha-previouschoice) if number>1 | |
| bys id: egen sumsteptob=total(steptob) | |
| *Alpha value final = number of times you go with the incentive to recommend Y | |
| g alphavalue=0 if sumsteptob==0 & alpha==0 & number==5 /*always choosing X, no incentive*/ | |
| replace alphavalue=5 if sumsteptob==0 & alpha==1 & number==5 /*always choosing Y, incentive*/ | |
| *Alpha value is the question number when the steptob is 1 for those who switch | |
| replace alphavalue=number-1 if sumsteptob==1 & steptob==1 | |
| g inconsistentchoice=(steptob==-1) | |
| bys id: egen inconsistentid=total(inconsistentchoice) | |
| bys id: egen alphavaluefinal=total(alphavalue) | |
| replace alphavaluefinal=. if inconsistentid>0 | |
| tab alphavaluefinal, m | |
| cap drop alphavalue inconsistentchoice previouschoice steptob | |
| reshape wide alpha, i(id) j(number) | |
| *Average alpha | |
| tab alphavaluefinal, m | |
| gen Deterministic=(condition=="ChoiceFree_Deterministic") | |
| egen stdalpha=std(alphavaluefinal) | |
| * prepare data for regressions | |
| g getbefore_Deterministic=getbefore*Deterministic | |
| label var getbefore_Deterministic "Get Before X Deterministic" | |
| gen Not_getyourchoice=0 | |
| replace Not_getyourchoice=1 if choicebefore==1 & getbefore==0 | |
| replace Not_getyourchoice=1 if choicebefore==0 & getbefore==1 | |
| gen getyourchoice=1-Not_getyourchoice | |
| gen choicebefore_Notgetyourchoice=choicebefore*Not_getyourchoice | |
| gen noconflict=1-conflict | |
| gen noconflict_choicebefore=noconflict*choicebefore | |
| gen noconflict_Notgetyourchoice=noconflict*Not_getyourchoice | |
| gen choicebefore_Deterministic=choicebefore*Deterministic | |
| gen choicebefore_getyourchoiceDet=choicebefore*getyourchoice*Deterministic | |
| gen choicebefore_noconflict=choicebefore*noconflict | |
| gen Deterministic_noconflict=Deterministic*noconflict | |
| gen Deterministic_choicebeforeNocon=Deterministic*noconflict*choicebefore | |
| label var getyourchoice "Random Assignment to Preferred Order" | |
| label var choicebefore_getyourchoice "Prefer to See Incentive First X Random Assignment" | |
| gen getyourchoice_Det=getyourchoice*Deterministic | |
| drop responseid newid shortid dup | |
| drop fl_728_do fl_17_do fl_481_do fl_523_do fl_528_do fl_1034_do fl_548_do fl_555_do fl_1047_do fl_563_do fl_657_do fl_629_do fl_1060_do fl_656_do fl_642_do fl_1073_do | |
| save "${data}Choice_Deterministic.dta", replace | |
| /*-------------------------------*/ | |
| *PREDICTIONS | |
| /*-------------------------------*/ | |
| clear | |
| import excel "${raw}predictions_explanations_coded_deidentified.xlsx", firstrow | |
| save "${data}predictions_explanations_coded.dta", replace | |
| clear | |
| import excel "${raw}predictions_deidentified.xlsx", firstrow | |
| drop if _n<3 | |
| drop if status==1 | |
| drop if q_relevantidduplicate==1 | |
| drop if q_relevantidfraudscore!=0 | |
| destring predictbeforered_es_1 predictafterred_es_1 predictbeforeblue_es_1 predictafterblue_es_1, force replace | |
| g predictbeforered1=predictbeforered_es_1 | |
| g predictafterred1=predictafterred_es_1 | |
| g predictbeforeblue1=predictbeforeblue_es_1 | |
| g predictafterblue1=predictafterblue_es_1 | |
| g gapred=predictbeforered1-58 if predictbeforered1!=. | |
| replace gapred=68-predictafterred1 if predictafterred1!=. | |
| g gapblue=predictbeforeblue1-75 if predictbeforeblue1!=. | |
| replace gapblue=86-predictafterblue1 if predictafterblue1!=. | |
| g gap=gapred if gapred!=. | |
| replace gap=gapblue if gapblue!=. | |
| g choice="Predictions" | |
| tab gap | |
| drop if gap==. | |
| merge 1:1 shortid using "${data}predictions_explanations_coded.dta" | |
| g attentivenum=attentive=="YES" | |
| tab attentivenum | |
| keep if attentivenum==1 | |
| tab gender | |
| destring age, force replace | |
| tabstat age | |
| replace gap=gap/100 | |
| replace gapred=gapred/100 | |
| replace gapblue=gapblue/100 | |
| egen meangap=mean(gap) | |
| egen sdgap=sd(gap) | |
| egen ngap=count(gap) | |
| g logap = meangap - sdgap/(sqrt(ngap)) | |
| g higap = meangap + sdgap/(sqrt(ngap)) | |
| g predicteddirection=predictafterred if predictafterred!=. | |
| replace predicteddirection=predictbeforered if predictbeforered!=. | |
| replace predicteddirection=predictafterblue if predictafterblue!=. | |
| replace predicteddirection=predictbeforeblue if predictbeforeblue!=. | |
| g before=1 if predictbeforered!=. | predictbeforeblue!=. | |
| replace before=0 if predictafterred!=. | predictafterblue!=. | |
| g predictcorrect=1 if (predicteddirection==1 & before==0) | (predicteddirection==3 & before==1) | |
| replace predictcorrect=0 if (predicteddirection==2 & before==0) | (predicteddirection==2 & before==1) | |
| replace predictcorrect=-1 if (predicteddirection==3 & before==0) | (predicteddirection==1 & before==1) | |
| drop _merge responseid | |
| save "${data}predictionsstudy.dta", replace | |
| /*-------------------------------*/ | |
| *CLIENTS | |
| /*-------------------------------*/ | |
| *** NOCHOICE, CHOICE AND STAKES EXPERIMENTS - MAIN | |
| clear | |
| import delimited using "${raw}Clients/Clients_Main_deidentified.csv", varnames(1) | |
| gen follow=. | |
| replace follow=1 if client_choiceb==1 & advisor_recommendb==1 | |
| replace follow=1 if client_choiceb==0 & advisor_recommendb==0 | |
| replace follow=0 if client_choiceb==0 & advisor_recommendb==1 | |
| replace follow=0 if client_choiceb==1 & advisor_recommendb==0 | |
| save "${data}Clients_Main.dta", replace | |
| *** CLIENTS ** NOCHOICE, CHOICE AND STAKES EXPERIMENTS - MPL | |
| clear | |
| import delimited using "${raw}Clients/Clients_MPL_deidentified.csv", varnames(1) | |
| gen follow=. | |
| replace follow=1 if advisor_recommends_producty==1 & client_choicey==1 | |
| replace follow=1 if advisor_recommends_producty==0 & client_choicey==0 | |
| replace follow=0 if advisor_recommends_producty==0 & client_choicey==1 | |
| replace follow=0 if advisor_recommends_producty==1 & client_choicey==0 | |
| save "${data}Clients_MPL.dta", replace | |
| *** CLIENTS ** NOCHOICE, CHOICE AND STAKES EXPERIMENTS - BLINDING | |
| clear | |
| import delimited using "${raw}Clients/Clients_Blinding_deidentified.csv", varnames(1) | |
| gen follow=. | |
| replace follow=1 if recommendation_infoavoidance==1 & choice1==1 | |
| replace follow=1 if recommendation_infoavoidance==0 & choice1==0 | |
| replace follow=0 if recommendation_infoavoidance==0 & choice1==1 | |
| replace follow=0 if recommendation_infoavoidance==1 & choice1==0 | |
| save "${data}Clients_Blinding.dta", replace | |
| *** CLIENTS ** INFORMATION ARCHITECTS - MAIN | |
| clear | |
| import delimited using "${raw}Clients/Clients_InfoArchitectsMain_deidentified.csv", varnames(1) | |
| gen follow=. | |
| replace follow=1 if client_choiceb==1 & advisor_recommendb==1 | |
| replace follow=1 if client_choiceb==0 & advisor_recommendb==0 | |
| replace follow=0 if client_choiceb==0 & advisor_recommendb==1 | |
| replace follow=0 if client_choiceb==1 & advisor_recommendb==0 | |
| save "${data}Clients_InfoArchitectsMain.dta", replace | |
| *** CLIENTS ** INFORMATION ARCHITECTS - MPL ADVISORS | |
| clear | |
| import delimited using "${raw}Clients/Clients_IAAdvisors_MPL_deidentified.csv", varnames(1) | |
| gen follow=. | |
| replace follow=1 if advisor_recommends_producty==1 & client_choicey==1 | |
| replace follow=1 if advisor_recommends_producty==0 & client_choicey==0 | |
| replace follow=0 if advisor_recommends_producty==0 & client_choicey==1 | |
| replace follow=0 if advisor_recommends_producty==1 & client_choicey==0 | |
| save "${data}Clients_IAAdvisors_MPL.dta", replace | |
| *** CLIENTS ** INFORMATION ARCHITECTS - MPL INFO ARCHITECTS | |
| clear | |
| import delimited using "${raw}Clients/Clients_IAInfoArchitects_MPL_deidentified.csv", varnames(1) | |
| gen follow=. | |
| replace follow=1 if advisor_recommends_producty==1 & client_choicey==1 | |
| replace follow=1 if advisor_recommends_producty==0 & client_choicey==0 | |
| replace follow=0 if advisor_recommends_producty==0 & client_choicey==1 | |
| replace follow=0 if advisor_recommends_producty==1 & client_choicey==0 | |
| save "${data}Clients_IAInfoArchitects_MPL.dta", replace | |
| *** CLIENTS ** NOCHOICE SIMULTANEOUS - MAIN | |
| clear | |
| import delimited using "${raw}Clients/Clients_NoChoiceSimultaneousMain_deidentified.csv", varnames(1) | |
| gen follow=. | |
| replace follow=1 if advisor_recommendb==1 & client_choiceb==1 | |
| replace follow=1 if advisor_recommendb==0 & client_choiceb==0 | |
| replace follow=0 if advisor_recommendb==0 & client_choiceb==1 | |
| replace follow=0 if advisor_recommendb==1 & client_choiceb==0 | |
| save "${data}Clients_NoChoiceSimultaneousMain.dta", replace | |
| *** CLIENTS ** NOCHOICE SIMULTANEOUS - MPL | |
| clear | |
| import delimited using "${raw}Clients/Clients_NoChoiceSimultaneousMPL_deidentified.csv", varnames(1) | |
| gen follow=. | |
| replace follow=1 if advisor_recommends_producty==1 & client_choicey==1 | |
| replace follow=1 if advisor_recommends_producty==0 & client_choicey==0 | |
| replace follow=0 if advisor_recommends_producty==0 & client_choicey==1 | |
| replace follow=0 if advisor_recommends_producty==1 & client_choicey==0 | |
| save "${data}Clients_NoChoiceSimultaneousMPL.dta", replace | |
| *** CLIENTS ** CHOICE DETERMINISTIC - MAIN | |
| clear | |
| import delimited using "${raw}Clients/Clients_ChoiceDeterministic_Main_deidentified.csv", varnames(1) | |
| gen follow=. | |
| replace follow=1 if advisor_recommendb==1 & client_choiceb==1 | |
| replace follow=1 if advisor_recommendb==0 & client_choiceb==0 | |
| replace follow=0 if advisor_recommendb==0 & client_choiceb==1 | |
| replace follow=0 if advisor_recommendb==1 & client_choiceb==0 | |
| save "${data}Clients_ChoiceDeterministic_Main.dta", replace | |
| *** CLIENTS ** CHOICE DETERMINISTIC - MPL | |
| clear | |
| import delimited using "${raw}Clients/Clients_ChoiceDeterministic_MPL_deidentified.csv", varnames(1) | |
| gen follow=. | |
| replace follow=1 if advisor_recommends_producty==1 & client_choicey==1 | |
| replace follow=1 if advisor_recommends_producty==0 & client_choicey==0 | |
| replace follow=0 if advisor_recommends_producty==0 & client_choicey==1 | |
| replace follow=0 if advisor_recommends_producty==1 & client_choicey==0 | |
| save "${data}Clients_ChoiceDeterministic_MPL.dta", replace | |
| *drop unnecessary files | |
| rm "${data}choice1.dta" | |
| rm "${data}choice2.dta" | |
| rm "${data}choice3.dta" | |
| rm "${data}professionals_prolific.dta" | |
| rm "${data}coding_explanations.dta" | |