Datasets:

chuxuan
/

REPRO-Bench

clear all
 

******* bring Qualtrics data into stata format


insheet using "data/raw/expAbatch1.csv", names
gen id = _n
drop if id == 1 
replace id = id - 1 + 1000
destring, replace
rename treatment fined
save "data/raw_1.dta", replace
clear


insheet using "data/raw/expAbatch2.csv", names
gen id = _n
drop if id == 1 
replace id = id - 1 + 2000
drop excluded
destring, replace
rename treatment fined
save "data/raw_2.dta", replace


clear
insheet using "data/raw/expAbatch3.csv", names
gen id = _n
drop if id == 1 
replace id = id - 1 + 3000
destring, replace
drop excluded
rename treatment fined
replace fined = 2 if fined == 1 // 2 is substance only
replace fined = 3 if fined == 0 // 3 is rhetoric only
save "data/raw_3.dta", replace


clear 
insheet using "data/raw/expAbatch4.csv", names
gen id = _n
drop if id == 1 
replace id = id - 1 + 4000
destring, replace
drop excluded
rename treatment fined
save "data/raw_4.dta", replace


clear
insheet using "data/raw/expAbatch5.csv", names
gen id = _n
drop if id == 1 
replace id = id - 1 + 5000
destring, replace
drop excluded
rename treatment fined
save "data/raw_5.dta", replace



clear
insheet using "data/raw/expAbatch6.csv", names
gen id = _n
drop if id == 1 
replace id = id - 1 + 6000
destring, replace
drop excluded
rename treatment fined
replace fined = 2 if fined == 1 // 2 is substance only
replace fined = 3 if fined == 0 // 3 is rhetoric only
save "data/raw_6.dta", replace


clear
insheet using "data/raw/expAbatch7.csv", names
gen id = _n
drop if id == 1 
replace id = id - 1 + 7000
destring, replace
drop excluded
rename treatment fined
replace fined = 2 if fined == 1 // 2 is substance only
replace fined = 3 if fined == 0 // 3 is rhetoric only
save "data/raw_7.dta", replace
clear


insheet using "data/raw/expAbatch8.csv", names
gen id = _n
drop if id == 1 
replace id = id - 1 + 8000
destring, replace
drop excluded
rename treatment fined
replace fined = 2 if fined == 1 // 2 is substance only
replace fined = 3 if fined == 0 // 3 is rhetoric only
drop codewt
drop codetreat
save "data/raw_8.dta", replace


clear
use "data/raw_1.dta"
append using "data/raw_2.dta"
append using "data/raw_3.dta"
append using "data/raw_4.dta"
append using "data/raw_5.dta"
append using "data/raw_6.dta"
append using "data/raw_7.dta"
append using "data/raw_8.dta"

rename v6 ip
rename v8 startDate
rename v9 endDate



***** attrition

gen attrited = help_test == .
gen attrition_before_video = q120 == .
gen started_video = (q124 == 1 | q125 == 1)

preserve
keep id attrited attrition_before_video started_video fined
save "data/attrition.dta", replace
restore


drop if help_test == .
drop attrited attrition_before_video started_video
save "data/raw_all.dta", replace


** find switching points

// strategy:
// 1. reshape
// 2. order
// 3. generate variable in order starting from 35, going down
// 4. generate second variable, set to missing if choice was 1, to order otherwise, egen min of these
// 5. generate 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


preserve
rename sc0_0 score
gen pay_test = payment_for_test <= 25
keep id ip 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 score fined finlit* att* help_test test* startDate endDate time* 
save "data/non_MPL.dta", replace
restore

keep id impl*

forvalues i = 1 / 20 {
	rename impl`i'_1_11 	 impl`i'_1 	 
	rename impl`i'_1_21 	 impl`i'_2 	 
	rename impl`i'_1_31 	 impl`i'_3 	 
	rename impl`i'_1_41 	 impl`i'_4 	 
	rename impl`i'_1_51 	 impl`i'_5 	 
	rename impl`i'_1_61 	 impl`i'_6 	 
	rename impl`i'_1_71 	 impl`i'_7 	 
	rename impl`i'_1_81 	 impl`i'_8 	 
	rename impl`i'_1_91 	 impl`i'_9 	 
	rename impl`i'_1_101 	 impl`i'_10 	 
	rename impl`i'_1_111 	 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 for each delayed reward

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 == 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


// second pricelist for each delayed reward

clear all
set more off
use "data/raw_all.dta"

keep id impl*


forvalues i = 1 / 20 {
	rename impl`i'_2_31 	 impl`i'_1 	 
	rename impl`i'_2_41 	 impl`i'_2 	 
	rename impl`i'_2_51 	 impl`i'_3 	 
	rename impl`i'_2_61 	 impl`i'_4 	 
	rename impl`i'_2_71 	 impl`i'_5 	 
	rename impl`i'_2_81 	 impl`i'_6 	 
	rename impl`i'_2_91 	 impl`i'_7 	 
	rename impl`i'_2_101 	 impl`i'_8 	 
	rename impl`i'_2_111 	 impl`i'_9	 
	rename impl`i'_2_121 	 impl`i'_10
	drop impl`i'_1_*
}

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'
}

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/non_MPL.dta"
drop _merge

forvalues i = 1/20 {
	gen value`i' = value_coarse_impl`i' + value_fine_impl`i'
	rename time`i'1_1 timeFirstClick`i'
	rename time`i'1_2 timeLastClick`i'
	rename time`i'1_3 timeSubmit`i'
	rename time`i'1_4 numClicks`i'
}


// Label variables conveniently

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_* 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 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  == 3
replace t7  = 1 if test7  == 4
replace t8  = 1 if test8  == 2
replace t9  = 1 if test9  == 3
replace t10 = 1 if test10 == 3

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



merge m:1 id using "data/attrition.dta"

gen double startTime = clock(startDate, "YMDhms")
gen double endTime = clock(endDate, "YMDhms")

gen double duration = endTime - startTime
replace duration = duration / (1000*60) // duration in minutes


drop line1 line2 decision_index

gen fl_high = fl_score_compound == 1

gen discount_unframed = v_unframed/amount * 100
gen discount_framed = v_framed/amount_precise * 100
gen discount_framed_72 = v_framed/amount * 100

sort id delay
by id delay: egen min_discount_unframed = min(discount_unframed)
by id delay: egen max_discount_unframed = max(discount_unframed)

gen diff = discount_framed - discount_unframed
gen diff72 = discount_framed - discount_unframed
gen min_diff = discount_framed - min_discount_unframed
gen max_diff = discount_framed - max_discount_unframed


gen abs_diff =  - abs(diff)
gen sq_diff = - (diff/100)^2*100
gen sq_diff72 = - (diff72/100)^2*100
gen sq_diff_up = - (diff/100)^2*100
gen sq_diff_down = - (diff/100)^2*100
replace sq_diff_up = 0 if diff > 0
replace sq_diff_down = 0 if diff < 0

sort id
by id: egen mean_diff = mean(diff)
gen sq_mean_diff = - (mean_diff/100)^2*100
gen sq_mean_diff_up = - (mean_diff/100)^2*100
gen sq_mean_diff_down = - (mean_diff/100)^2*100
replace sq_mean_diff_up = 0 if mean_diff > 0
replace sq_mean_diff_down = 0 if mean_diff < 0

gen sqrt_diff = - sqrt(abs(diff)/100)*100

gen abs_min_diff = - abs(min_diff)
gen abs_max_diff = - abs(max_diff)
gen sq_min_diff = -(min_diff/100)^2*100
gen sq_max_diff = -(max_diff/100)^2*100

gen CVa = min(sq_min_diff, sq_max_diff)
gen CVb = max(sq_min_diff, sq_max_diff)
replace CVb = 0 if discount_framed <= max_discount_unframed & discount_framed >= min_discount_unframed

gen asy_diff_up = diff
replace asy_diff_up = 0 if diff > 0 
gen asy_diff_down = - diff
replace asy_diff_down = 0 if diff < 0 

sort id delay
by id delay: egen mean_disc = mean(discount_unframed)

gen r72 = rule72 == 1
gen r72inv = rule72_inv == 1


// generate treatment dummies

gen Control = fined == 0 // Control
gen Full = fined == 1 // Full
gen Rule72 = fined == 2 // Substance Only
gen Rhetoric = fined == 3 // Rhetoric Only

label define treatment 0 "Control" 1 "Full Treatment" 2 "Only Rule of 72" 3 "Only Rhetoric"
label values fined treatment


// measures of noise and inattention

sort id delay
by id delay: egen sdV = sd(v_framed)
by id: egen mean_sdV = mean(sdV)

gen slope_unframed = .
gen slope_framed = .
gen corr_unframed_framed = .
gen r2_unframed_framed = .
drop if id == -1
egen id3 = group(id)
su id3
local max = r(max)
forvalues i = 1/`max' {
	capture: reg discount_unframed amount if id3 == `i'
	capture: replace slope_unframed = _b[amount] if id3 == `i'
	capture: reg discount_framed amount_precise if id3 == `i'
	capture: replace slope_framed = _b[amount_precise] if id3 == `i'
	capture: reg discount_framed discount_unframed if id3 == `i'
	capture: replace corr_unframed_framed = _b[discount_unframed] if id3 == `i'
	capture: replace r2_unframed_framed = e(r2) if id3 == `i'
}

su slope_unframed, d
gen lowSlope25 = slope_unframed <= r(p25)
gen lowSlope50 = slope_unframed <= r(p50)
gen lowSlope75 = slope_unframed <= r(p75)


***** Demographic variables


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

gen fl_high_remaining = fl4 == 1 & fl5 == 1
gen was_married = widowed == 1 | divorced == 1
gen highSchoolOrLess = highSchool == 1 | lessThanHighSchool == 1
gen vocOrSomeCollege = voc == 1 | someCollege == 1
gen hh3to5 = hh_size >= 2 & hh_size <= 5
gen hhGeq6 = hh_size >= 6
replace income = income / 1000

egen tag = tag(id)


save "data/dataExpA.dta", replace

	clear all


	******* bring Qualtrics data into stata format


	insheet using "data/raw/expAbatch1.csv", names
	gen id = _n
	drop if id == 1
	replace id = id - 1 + 1000
	destring, replace
	rename treatment fined
	save "data/raw_1.dta", replace
	clear


	insheet using "data/raw/expAbatch2.csv", names
	gen id = _n
	drop if id == 1
	replace id = id - 1 + 2000
	drop excluded
	destring, replace
	rename treatment fined
	save "data/raw_2.dta", replace


	clear
	insheet using "data/raw/expAbatch3.csv", names
	gen id = _n
	drop if id == 1
	replace id = id - 1 + 3000
	destring, replace
	drop excluded
	rename treatment fined
	replace fined = 2 if fined == 1 // 2 is substance only
	replace fined = 3 if fined == 0 // 3 is rhetoric only
	save "data/raw_3.dta", replace


	clear
	insheet using "data/raw/expAbatch4.csv", names
	gen id = _n
	drop if id == 1
	replace id = id - 1 + 4000
	destring, replace
	drop excluded
	rename treatment fined
	save "data/raw_4.dta", replace


	clear
	insheet using "data/raw/expAbatch5.csv", names
	gen id = _n
	drop if id == 1
	replace id = id - 1 + 5000
	destring, replace
	drop excluded
	rename treatment fined
	save "data/raw_5.dta", replace



	clear
	insheet using "data/raw/expAbatch6.csv", names
	gen id = _n
	drop if id == 1
	replace id = id - 1 + 6000
	destring, replace
	drop excluded
	rename treatment fined
	replace fined = 2 if fined == 1 // 2 is substance only
	replace fined = 3 if fined == 0 // 3 is rhetoric only
	save "data/raw_6.dta", replace


	clear
	insheet using "data/raw/expAbatch7.csv", names
	gen id = _n
	drop if id == 1
	replace id = id - 1 + 7000
	destring, replace
	drop excluded
	rename treatment fined
	replace fined = 2 if fined == 1 // 2 is substance only
	replace fined = 3 if fined == 0 // 3 is rhetoric only
	save "data/raw_7.dta", replace
	clear


	insheet using "data/raw/expAbatch8.csv", names
	gen id = _n
	drop if id == 1
	replace id = id - 1 + 8000
	destring, replace
	drop excluded
	rename treatment fined
	replace fined = 2 if fined == 1 // 2 is substance only
	replace fined = 3 if fined == 0 // 3 is rhetoric only
	drop codewt
	drop codetreat
	save "data/raw_8.dta", replace


	clear
	use "data/raw_1.dta"
	append using "data/raw_2.dta"
	append using "data/raw_3.dta"
	append using "data/raw_4.dta"
	append using "data/raw_5.dta"
	append using "data/raw_6.dta"
	append using "data/raw_7.dta"
	append using "data/raw_8.dta"

	rename v6 ip
	rename v8 startDate
	rename v9 endDate



	***** attrition

	gen attrited = help_test == .
	gen attrition_before_video = q120 == .
	gen started_video = (q124 == 1 \| q125 == 1)

	preserve
	keep id attrited attrition_before_video started_video fined
	save "data/attrition.dta", replace
	restore


	drop if help_test == .
	drop attrited attrition_before_video started_video
	save "data/raw_all.dta", replace


	** find switching points

	// strategy:
	// 1. reshape
	// 2. order
	// 3. generate variable in order starting from 35, going down
	// 4. generate second variable, set to missing if choice was 1, to order otherwise, egen min of these
	// 5. generate 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


	preserve
	rename sc0_0 score
	gen pay_test = payment_for_test <= 25
	keep id ip 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 score fined finlit* att* help_test test* startDate endDate time*
	save "data/non_MPL.dta", replace
	restore

	keep id impl*

	forvalues i = 1 / 20 {
	rename impl`i'_1_11 impl`i'_1
	rename impl`i'_1_21 impl`i'_2
	rename impl`i'_1_31 impl`i'_3
	rename impl`i'_1_41 impl`i'_4
	rename impl`i'_1_51 impl`i'_5
	rename impl`i'_1_61 impl`i'_6
	rename impl`i'_1_71 impl`i'_7
	rename impl`i'_1_81 impl`i'_8
	rename impl`i'_1_91 impl`i'_9
	rename impl`i'_1_101 impl`i'_10
	rename impl`i'_1_111 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 for each delayed reward

	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 == 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


	// second pricelist for each delayed reward

	clear all
	set more off
	use "data/raw_all.dta"

	keep id impl*


	forvalues i = 1 / 20 {
	rename impl`i'_2_31 impl`i'_1
	rename impl`i'_2_41 impl`i'_2
	rename impl`i'_2_51 impl`i'_3
	rename impl`i'_2_61 impl`i'_4
	rename impl`i'_2_71 impl`i'_5
	rename impl`i'_2_81 impl`i'_6
	rename impl`i'_2_91 impl`i'_7
	rename impl`i'_2_101 impl`i'_8
	rename impl`i'_2_111 impl`i'_9
	rename impl`i'_2_121 impl`i'_10
	drop impl`i'_1_*
	}

	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'
	}

	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/non_MPL.dta"
	drop _merge

	forvalues i = 1/20 {
	gen value`i' = value_coarse_impl`i' + value_fine_impl`i'
	rename time`i'1_1 timeFirstClick`i'
	rename time`i'1_2 timeLastClick`i'
	rename time`i'1_3 timeSubmit`i'
	rename time`i'1_4 numClicks`i'
	}


	// Label variables conveniently

	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_* 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 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 == 3
	replace t7 = 1 if test7 == 4
	replace t8 = 1 if test8 == 2
	replace t9 = 1 if test9 == 3
	replace t10 = 1 if test10 == 3

	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



	merge m:1 id using "data/attrition.dta"

	gen double startTime = clock(startDate, "YMDhms")
	gen double endTime = clock(endDate, "YMDhms")

	gen double duration = endTime - startTime
	replace duration = duration / (1000*60) // duration in minutes


	drop line1 line2 decision_index

	gen fl_high = fl_score_compound == 1

	gen discount_unframed = v_unframed/amount * 100
	gen discount_framed = v_framed/amount_precise * 100
	gen discount_framed_72 = v_framed/amount * 100

	sort id delay
	by id delay: egen min_discount_unframed = min(discount_unframed)
	by id delay: egen max_discount_unframed = max(discount_unframed)

	gen diff = discount_framed - discount_unframed
	gen diff72 = discount_framed - discount_unframed
	gen min_diff = discount_framed - min_discount_unframed
	gen max_diff = discount_framed - max_discount_unframed


	gen abs_diff = - abs(diff)
	gen sq_diff = - (diff/100)^2*100
	gen sq_diff72 = - (diff72/100)^2*100
	gen sq_diff_up = - (diff/100)^2*100
	gen sq_diff_down = - (diff/100)^2*100
	replace sq_diff_up = 0 if diff > 0
	replace sq_diff_down = 0 if diff < 0

	sort id
	by id: egen mean_diff = mean(diff)
	gen sq_mean_diff = - (mean_diff/100)^2*100
	gen sq_mean_diff_up = - (mean_diff/100)^2*100
	gen sq_mean_diff_down = - (mean_diff/100)^2*100
	replace sq_mean_diff_up = 0 if mean_diff > 0
	replace sq_mean_diff_down = 0 if mean_diff < 0

	gen sqrt_diff = - sqrt(abs(diff)/100)*100

	gen abs_min_diff = - abs(min_diff)
	gen abs_max_diff = - abs(max_diff)
	gen sq_min_diff = -(min_diff/100)^2*100
	gen sq_max_diff = -(max_diff/100)^2*100

	gen CVa = min(sq_min_diff, sq_max_diff)
	gen CVb = max(sq_min_diff, sq_max_diff)
	replace CVb = 0 if discount_framed <= max_discount_unframed & discount_framed >= min_discount_unframed

	gen asy_diff_up = diff
	replace asy_diff_up = 0 if diff > 0
	gen asy_diff_down = - diff
	replace asy_diff_down = 0 if diff < 0

	sort id delay
	by id delay: egen mean_disc = mean(discount_unframed)

	gen r72 = rule72 == 1
	gen r72inv = rule72_inv == 1


	// generate treatment dummies

	gen Control = fined == 0 // Control
	gen Full = fined == 1 // Full
	gen Rule72 = fined == 2 // Substance Only
	gen Rhetoric = fined == 3 // Rhetoric Only

	label define treatment 0 "Control" 1 "Full Treatment" 2 "Only Rule of 72" 3 "Only Rhetoric"
	label values fined treatment


	// measures of noise and inattention

	sort id delay
	by id delay: egen sdV = sd(v_framed)
	by id: egen mean_sdV = mean(sdV)

	gen slope_unframed = .
	gen slope_framed = .
	gen corr_unframed_framed = .
	gen r2_unframed_framed = .
	drop if id == -1
	egen id3 = group(id)
	su id3
	local max = r(max)
	forvalues i = 1/`max' {
	capture: reg discount_unframed amount if id3 == `i'
	capture: replace slope_unframed = _b[amount] if id3 == `i'
	capture: reg discount_framed amount_precise if id3 == `i'
	capture: replace slope_framed = _b[amount_precise] if id3 == `i'
	capture: reg discount_framed discount_unframed if id3 == `i'
	capture: replace corr_unframed_framed = _b[discount_unframed] if id3 == `i'
	capture: replace r2_unframed_framed = e(r2) if id3 == `i'
	}

	su slope_unframed, d
	gen lowSlope25 = slope_unframed <= r(p25)
	gen lowSlope50 = slope_unframed <= r(p50)
	gen lowSlope75 = slope_unframed <= r(p75)


	***** Demographic variables


	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

	gen fl_high_remaining = fl4 == 1 & fl5 == 1
	gen was_married = widowed == 1 \| divorced == 1
	gen highSchoolOrLess = highSchool == 1 \| lessThanHighSchool == 1
	gen vocOrSomeCollege = voc == 1 \| someCollege == 1
	gen hh3to5 = hh_size >= 2 & hh_size <= 5
	gen hhGeq6 = hh_size >= 6
	replace income = income / 1000

	egen tag = tag(id)


	save "data/dataExpA.dta", replace