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add 30
57fe0a1
clear
set mem 500m
set more off
set logtype text
set matsize 3000
cap log close
log using "$Log/Table3a_3b.log", replace
use "$AnalysisData/bills_analysis_101-111_replication.dta", clear
keep private v2 sponsor_state_abbrev sponsor_district sponsor_term_served sponsor_female sponsor_party sponsor_age sponsor_tenure_run comc comr /*
*/ lnpop lnarea MV1_democrat numb_cosponsors_opposite numb_cosponsors pct_cosponsors_opposite plaw_cbp passh women_friend* HRnumber /*
*/ MV1_female minor house_* sponsor_age ivycoll black occ0 occ1 occ2 occ3 occ4 borninstate /*
*/ pct_black pct_urban pct_for_born pct_age_over65 lninc sponsor_state_icpsr
keep if private==0
bysort v2 sponsor_state_abbrev sponsor_district sponsor_term_served: egen tot_bills=count(v2)
gen byte sponsor_democrat = sponsor_party==100 if sponsor_party~=.
gen byte NE = sponsor_state_icpsr>=1 & sponsor_state_icpsr<=14 if sponsor_state_icpsr~=.
gen byte MW = sponsor_state_icpsr>=21 & sponsor_state_icpsr<=37 if sponsor_state_icpsr~=.
gen byte SO = sponsor_state_icpsr>=40 & sponsor_state_icpsr<=56 if sponsor_state_icpsr~=.
gen byte WE = sponsor_state_icpsr>=61 & sponsor_state_icpsr<=82 if sponsor_state_icpsr~=.
replace sponsor_age=. if sponsor_age>100
gen sponsor_rookie=(sponsor_tenure_run==1) if sponsor_tenure_run!=.
gen byte leader = (comc==1) | (comr==1) if comc~=. & comr~=.
gen lnpden=lnpop-lnarea
gen absMV=abs(MV1_democrat)
egen tag_congressmen=tag(v2 sponsor_state_abbrev sponsor_district sponsor_term_served)
egen tag_sponsor = tag(v2 sponsor_state_abbrev sponsor_district sponsor_term_served)
egen group_sponsor = group(v2 sponsor_state_abbrev sponsor_district sponsor_term_served)
cap drop pct_cosponsors_opposite
gen pct_cosponsors_opposite=100*numb_cosponsors_opposite/(numb_cosponsors+1)
replace pct_cosponsors_opposite=. if pct_cosponsors_opposite>100
compress
egen tag_bill = tag(v2 HRnumber)
gen int decade = 1980 if v2<=102
replace decade=1990 if v2>=103 & v2<=107
replace decade=2000 if v2>=108
egen district_id = group(decade sponsor_state_abbrev sponsor_district)
local other_controls1 = "i.v2"
local other_controls2 = "i.v2 i.minor house_*"
local other_controls3 = "i.v2 i.minor house_* sponsor_democrat sponsor_rookie sponsor_tenure_run sponsor_age leader ivycoll black occ0 occ1 occ2 occ3 occ4 borninstate tot_bills"
local other_controls4 = "i.v2 i.minor house_* NE MW WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden"
local other_controls5 = "i.v2 i.minor house_* sponsor_democrat sponsor_rookie sponsor_tenure_run sponsor_age leader ivycoll black occ0 occ1 occ2 occ3 occ4 borninstate tot_bills NE MW WE pct_black pct_urban pct_for_born pct_age_over65 lninc lnpden"
local if1 = "if tag_bill==1"
local if2 = "if sponsor_party==100 & tag_bill==1"
local if3 = "if sponsor_party==200 & tag_bill==1"
foreach depvar of varlist numb_cosponsors pct_cosponsors_opposite {
forvalues j=1/5 {
forvalues k = 1/3 {
if "`depvar'"=="numb_cosponsors_opposite" {
local other_controls`j' = "numb_cosponsors `other_controls`j''"
}
if `j'==1 {
di "reg `depvar' sponsor_female `other_controls`j'' `if`k'', robust cluster(group_sponsor)"
reg `depvar' sponsor_female `other_controls`j'' `if`k'', robust cluster(group_sponsor)
}
else if `j'==2 {
di "reg `depvar' sponsor_female `other_controls`j'' `if`k'', robust cluster(group_sponsor)"
reg `depvar' sponsor_female `other_controls`j'' `if`k'', robust cluster(group_sponsor)
}
else if `j'==3 {
di "reg `depvar' sponsor_female `other_controls`j'' `if`k'', robust cluster(group_sponsor)"
reg `depvar' sponsor_female `other_controls`j'' `if`k'', robust cluster(group_sponsor)
}
else if `j'==4 {
di "reg `depvar' sponsor_female `other_controls`j'' `if`k'', robust cluster(group_sponsor)"
reg `depvar' sponsor_female `other_controls`j'' `if`k'', robust cluster(group_sponsor)
}
else if `j'==5 {
di "reg `depvar' sponsor_female `other_controls`j'' `if`k'', robust cluster(group_sponsor)"
reg `depvar' sponsor_female `other_controls`j'' `if`k'', robust cluster(group_sponsor)
}
scalar b_col`j'_row`k' = _b[sponsor_female]
scalar se_col`j'_row`k' = _se[sponsor_female]
scalar n_col`j'_row`k' = e(N)
sum tag_congressmen if tag_congressmen==1 & e(sample)
scalar ni_col`j'_row`k' = e(N_clust)
scalar ob_col`j'_row`k' = .
}
}
preserve
* Display results
forvalues i = 1/5 {
gen var`i' =.
}
gen str20 var6 = ""
forvalues j=1/5 {
forvalues k = 1/3 {
replace var`j' = b_col`j'_row`k' if _n==6*(`k'-1)+1
replace var`j' = se_col`j'_row`k' if _n==6*(`k'-1)+2
replace var`j' = n_col`j'_row`k' if _n==6*(`k'-1)+3
replace var`j' = ni_col`j'_row`k' if _n==6*(`k'-1)+4
replace var`j' = ob_col`j'_row`k' if _n==6*(`k'-1)+5
}
}
keep var1-var6
keep if _n<=18
order var6 var1-var5
ren var6 sampletype
ren var1 OLS_bas
ren var2 OLS_maj
ren var3 OLS_ind
ren var4 OLS_dis
ren var5 OLS_all
foreach var of varlist OLS_bas OLS_maj OLS_ind OLS_dis OLS_all {
gen str3 `var'_stars ="*" if abs(`var'/`var'[_n+1])>=1.645 & mod(_n,6)==1
replace `var'_stars ="**" if abs(`var'/`var'[_n+1])>=1.96 & mod(_n,6)==1
replace `var'_stars="***" if abs(`var'/`var'[_n+1])>=2.58 & mod(_n,6)==1
}
replace sampletype = "All" if _n>=1 & _n<=5
replace sampletype = "Democrats" if _n>=7 & _n<=11
replace sampletype = "Republicans" if _n>=13 & _n<=17
order sampletype OLS_bas* OLS_maj* OLS_ind* OLS_dis* OLS_all*
export excel using "$Output/Table3a_`depvar'_OLS", firstrow(var) replace
restore
}
*********************************************************************************************************************************
use "$AnalysisData/cosponsors_analysis_101-111_replication.dta", clear
gen byte tag_cosponsor=1
gen byte cosponsor_democrat = cosponsor_party==100 if cosponsor_party~=.
gen byte cosponsor_region_NE = cosponsor_state_icpsr>=1 & cosponsor_state_icpsr<=14 if cosponsor_state_icpsr~=.
gen byte cosponsor_region_MW = cosponsor_state_icpsr>=21 & cosponsor_state_icpsr<=37 if cosponsor_state_icpsr~=.
gen byte cosponsor_region_SO = cosponsor_state_icpsr>=40 & cosponsor_state_icpsr<=56 if cosponsor_state_icpsr~=.
gen byte cosponsor_region_WE = cosponsor_state_icpsr>=61 & cosponsor_state_icpsr<=82 if cosponsor_state_icpsr~=.
replace cosponsor_age=. if cosponsor_age>100
gen cosponsor_rookie=(cosponsor_tenure_run==1) if cosponsor_tenure_run!=.
gen byte leader = (cosp_comc==1) | (cosp_comr==1) if cosp_comc~=. & cosp_comr~=.
egen tag_congressmen=tag(v2 cosponsor_state_abbrev cosponsor_district cosponsor_term_served)
gen lnpden=cosp_lnpop-cosp_lnarea
gen absMV=abs(cosp_MV1_democrat)
cap drop pctbills_cosponsored_opp
gen pctbills_cosponsored_opp=100*nbills_cosponsored_opp/(nbills_cosponsored+1)
replace pctbills_cosponsored_opp=. if pctbills_cosponsored_opp>100
gen int decade = 1980 if v2<=102
replace decade=1990 if v2>=103 & v2<=107
replace decade=2000 if v2>=108
egen district_id = group(decade cosponsor_state_abbrev cosponsor_district)
foreach name in "democrat" "tenure_run" "age" "rookie" "region_NE" "region_MW" "region_WE" {
ren cosponsor_`name' cosp_`name'
}
foreach name in "democrat" "tenure_run" "age" "rookie" "comc" "comr" "borninstate" /*
*/ "ivycoll" "black" "occ0" "occ1" "occ2" "occ3" "occ4" /*
*/ "region_NE" "region_MW" "region_WE" "pct_b" "pct_u" "pct_f" "pct_a" "lnpop" "lninc" "lnarea" {
ren cosp_`name' `name'
}
local cosp_controls1 = "i.v2 "
local cosp_controls2 = "i.v2 house_* "
local cosp_controls3 = "i.v2 house_* democrat rookie tenure_run age leader ivycoll black occ0 occ1 occ2 occ3 occ4 borninstate "
local cosp_controls4 = "i.v2 house_* region_NE region_MW region_WE pct_b pct_u pct_f pct_a lninc lnpden "
local cosp_controls5 = "i.v2 house_* democrat rookie tenure_run age leader ivycoll black occ0 occ1 occ2 occ3 occ4 borninstate region_NE region_MW region_WE pct_b pct_u pct_f pct_a lninc lnpden "
local cosp_if1 = "if tag_cosponsor==1"
local cosp_if2 = "if cosponsor_party==100 & tag_cosponsor==1"
local cosp_if3 = "if cosponsor_party==200 & tag_cosponsor==1"
foreach depvar of varlist nbills_cosponsored pctbills_cosponsored_opp {
forvalues j=1/5 {
forvalues k = 1/3 {
if `j'==1 {
di "reg `depvar' cosponsor_female `cosp_controls`j'' `cosp_if`k'', robust cluster(cosponsor_v1_fix)"
reg `depvar' cosponsor_female `cosp_controls`j'' `cosp_if`k'', robust cluster(cosponsor_v1_fix)
}
else if `j'==2 {
di "reg `depvar' cosponsor_female `cosp_controls`j'' `cosp_if`k'', robust cluster(cosponsor_v1_fix)"
reg `depvar' cosponsor_female `cosp_controls`j'' `cosp_if`k'', robust cluster(cosponsor_v1_fix)
}
else if `j'==3 {
di "reg `depvar' cosponsor_female `cosp_controls`j'' `cosp_if`k'', robust cluster(cosponsor_v1_fix)"
reg `depvar' cosponsor_female `cosp_controls`j'' `cosp_if`k'', robust cluster(cosponsor_v1_fix)
}
else if `j'==4 {
di "reg `depvar' cosponsor_female `cosp_controls`j'' `cosp_if`k'', robust cluster(cosponsor_v1_fix)"
reg `depvar' cosponsor_female `cosp_controls`j'' `cosp_if`k'', robust cluster(cosponsor_v1_fix)
}
else if `j'==5 {
di "reg `depvar' cosponsor_female `cosp_controls`j'' `cosp_if`k'', robust cluster(cosponsor_v1_fix)"
reg `depvar' cosponsor_female `cosp_controls`j'' `cosp_if`k'', robust cluster(cosponsor_v1_fix)
}
scalar b_col`j'_row`k' = _b[cosponsor_female]
scalar se_col`j'_row`k' = _se[cosponsor_female]
scalar n_col`j'_row`k' = e(N)
sum tag_congressmen if tag_congressmen==1 & e(sample)
scalar ni_col`j'_row`k' = e(N_clust)
scalar ob_col`j'_row`k' = .
}
}
preserve
* Display results
forvalues i = 1/5 {
gen var`i' =.
}
gen str20 var6 = ""
forvalues j=1/5 {
forvalues k = 1/3 {
replace var`j' = b_col`j'_row`k' if _n==6*(`k'-1)+1
replace var`j' = se_col`j'_row`k' if _n==6*(`k'-1)+2
replace var`j' = n_col`j'_row`k' if _n==6*(`k'-1)+3
replace var`j' = ni_col`j'_row`k' if _n==6*(`k'-1)+4
replace var`j' = ob_col`j'_row`k' if _n==6*(`k'-1)+5
}
}
keep var1-var6
keep if _n<=18
order var6 var1-var5
ren var6 sampletype
ren var1 OLS_bas
ren var2 OLS_maj
ren var3 OLS_ind
ren var4 OLS_dis
ren var5 OLS_all
foreach var of varlist OLS_bas OLS_maj OLS_ind OLS_dis OLS_all {
gen str3 `var'_stars ="*" if abs(`var'/`var'[_n+1])>=1.645 & mod(_n,6)==1
replace `var'_stars ="**" if abs(`var'/`var'[_n+1])>=1.96 & mod(_n,6)==1
replace `var'_stars="***" if abs(`var'/`var'[_n+1])>=2.58 & mod(_n,6)==1
}
replace sampletype = "All" if _n>=1 & _n<=5
replace sampletype = "Democrats" if _n>=7 & _n<=11
replace sampletype = "Republicans" if _n>=13 & _n<=17
order sampletype OLS_bas* OLS_maj* OLS_ind* OLS_dis* OLS_all*
export excel using "$Output/Table3b_`depvar'_OLS.xlsx", firstrow(var) replace
restore
}
log close