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modified replication package for DGLR 2020, to calculate mean employment of regression sample in Table A1, Women High School or Less
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/* BEGIN BZ MODIFICATIONS */ | |
/* this do-file requires the following files from the authors | |
medicaidelig.dta | |
UKCPR_National_Welfare_Data_Update_021520.dta | |
*/ | |
copy https://github.com/Economic/state_geocodes/raw/master/state_geocodes.dta state_geocodes.dta, replace | |
use state_geocodes, clear | |
rename state_census stcps | |
rename state_fips statefips | |
keep stcps statefips | |
tempfile state_geocodes | |
save `state_geocodes' | |
copy https://github.com/benzipperer/historicalminwage/releases/download/v1.4.0/mw_state_stata.zip mw_state_stata.zip, replace | |
unzipfile mw_state_stata.zip, replace | |
/* END BZ MODIFICATIONS */ | |
clear | |
* this file makes the wage panel | |
cap mkdir "cperraw" | |
cd cperraw | |
forvalues year=1999/2017 { // not sure if the 2019 data is online yeat | |
/* BEGIN BZ MODIFICATIONS: update URL */ | |
copy https://ceprdata.s3.amazonaws.com/data/cps/data/cepr_org_`year'.zip cper_org_`year'.zip, replace | |
/* END BZ MODIFICATIONS */ | |
unzipfile cper_org_`year', replace | |
} | |
cd .. | |
forvalues year=1999/2017{ | |
use female age educ wage* emp* year married state wbho age *wgt* rw* using "cperraw/cepr_org_`year'" | |
if `year'>1999 append using wagepanel | |
save wagepanel, replace | |
} | |
* STATE VARIABLE | |
use wagepanel if year>=1999 & year<=2017, clear | |
keep if age>=18 & age<=64 | |
rename state stcps | |
gen state= . | |
replace state=20 if stcps==11 /*Maine */ | |
replace state=30 if stcps==12 /*NewHampshire */ | |
replace state=46 if stcps==13 /*Vermont */ | |
replace state=22 if stcps==14 /*Massachusetts*/ | |
replace state=40 if stcps==15 /*RhodeIsland */ | |
replace state=7 if stcps==16 /*Connecticut */ | |
replace state=33 if stcps==21 /*NewYork */ | |
replace state=31 if stcps==22 /*NewJersey */ | |
replace state=39 if stcps==23 /*Pennsylvania */ | |
replace state=36 if stcps==31 /*Ohio */ | |
replace state=15 if stcps==32 /*Indiana */ | |
replace state=14 if stcps==33 /*Illinois */ | |
replace state=23 if stcps==34 /*Michigan */ | |
replace state=50 if stcps==35 /*Wisconsin */ | |
replace state=24 if stcps==41 /*Minnesota */ | |
replace state=16 if stcps==42 /*Iowa */ | |
replace state=26 if stcps==43 /*Missouri */ | |
replace state=35 if stcps==44 /*NorthDakota */ | |
replace state=42 if stcps==45 /*SouthDakota */ | |
replace state=28 if stcps==46 /*Nebraska */ | |
replace state=17 if stcps==47 /*Kansas */ | |
replace state=8 if stcps==51 /*Delaware */ | |
replace state=21 if stcps==52 /*Maryland */ | |
replace state=9 if stcps==53 /*DC */ | |
replace state=47 if stcps==54 /*Virginia */ | |
replace state=49 if stcps==55 /*WestVirginia */ | |
replace state=34 if stcps==56 /*NorthCarolina*/ | |
replace state=41 if stcps==57 /*SouthCarolina*/ | |
replace state=11 if stcps==58 /*Georgia */ | |
replace state=10 if stcps==59 /*Florida */ | |
replace state=18 if stcps==61 /*Kentucky */ | |
replace state=43 if stcps==62 /*Tennessee */ | |
replace state=1 if stcps==63 /*Alabama */ | |
replace state=25 if stcps==64 /*Mississippi */ | |
replace state=4 if stcps==71 /*Arkansas */ | |
replace state=19 if stcps==72 /*Louisiana */ | |
replace state=37 if stcps==73 /*Oklahoma */ | |
replace state=44 if stcps==74 /*Texas */ | |
replace state=27 if stcps==81 /*Montana */ | |
replace state=13 if stcps==82 /*Idaho */ | |
replace state=51 if stcps==83 /*Wyoming */ | |
replace state=6 if stcps==84 /*Colorado */ | |
replace state=32 if stcps==85 /*NewMexico */ | |
replace state=3 if stcps==86 /*Arizona */ | |
replace state=45 if stcps==87 /*Utah */ | |
replace state=29 if stcps==88 /*Nevada */ | |
replace state=48 if stcps==91 /*Washington */ | |
replace state=38 if stcps==92 /*Oregon */ | |
replace state=5 if stcps==93 /*California */ | |
replace state=2 if stcps==94 /*Alaska */ | |
replace state=12 if stcps==95 /*Hawaii */ | |
label var state "[TS2] State (SOI codes)" | |
/* BEGIN BZ MODIFICATIONS */ | |
/* | |
ren state stateoc | |
merge m:1 stateoc using stateoc2statefips | |
ren Fips statefips | |
*/ | |
merge m:1 stcps using `state_geocodes', assert(3) nogenerate | |
/* END BZ MODIFICATIONS */ | |
** merge with the minimum wage data | |
merge m:1 statefips year using mw_state_annual, keep(3) nogen //1 obs per statefips year | |
g logmw = log(mean_mw) | |
sum year | |
** group states | |
gen edcat = 1 if educ == 1 | educ == 2 | |
replace edcat = 2 if educ == 3 | |
replace edcat = 3 if educ >=4 | |
g agecat = . | |
local t 1 | |
foreach h in 25 35 45 55 65 { | |
replace agecat = `t' if agecat ==. & age<`h' | |
local t = `t' + 1 | |
} | |
tab age agecat | |
g logrealwage = log(rw) | |
g logwage = log(wage4) | |
g state_fips = statefips | |
merge m:1 state_fips year using UKCPR_National_Welfare_Data_Update_021520, keepusing(Population Unemploymentrate GrossStateProduct SSIrecipients AFDCTANF_FS3PersonBenefit FSSNAPBenefitfor3personfam) keep(3) nogen // add population, unemployment rate etc | |
replace year = year - 1 | |
merge m:1 state_fips year using UKCPR_National_Welfare_Data_Update_021520, keepusing(EITCMaximumCredit2Dependents StateEITCRate GovernorisDemocrat1Yes FractionofStateHousethatis FractionofStateSenatethatis) keep(3) nogen // add population, unemployment rate etc | |
replace year = year + 1 | |
merge m:1 statefips year using "medicaidelig", keep(1 3) nogen | |
foreach x in medicaidelig mcaidexpand mcaidexpand2 { | |
replace `x' = 0 if `x' == . // no data 1999-2010 | |
} | |
g logsnap = log(FSSNAP) | |
label var logsnap "Log SNAP benefits (3 persons)" | |
g eitcfam3 = log(EITCMax*(1+StateEITCRate)) | |
label var eitcfam "Log EITC (2 dependents)" | |
g logstategdp=log(GrossStateProduct) | |
g logssi = log(SSIrecipients/Pop) | |
g logpop=log(Pop) | |
ren female sex | |
save agregsample, replace | |
/* BEGIN BZ MODIFICATIONS */ | |
* confirm employment effect in Table A1, panel B, specification 2 | |
use agregsample if edcat == 1, clear | |
reghdfe empl logmw logssi logstategdp logpop Unemp eitcfam3 [aw=orgwgt] if sex == 1, a(statefips year wbho age sex educ) cluster(statefips) | |
* calculate mean employment of sample | |
sum empl [aw=orgwgt] if e(sample) == 1 |
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