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name: <unnamed> |
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log: /Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Log/003_prepare_data_replication.log |
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log type: text |
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opened on: 29 Mar 2021, 22:08:36 |
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. |
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. ******************************************************************************** |
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. |
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. * From the Bills analysis data, make a cleaner data set with only the variables that will be used in the analysis |
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. use "$IntermediateData/bills_analysis_101-111_clean.dta" |
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. |
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. ren sponsor sponsor_name |
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. |
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. * keep only relevant variables |
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. keep private v2 HRnumber sponsor_state_abbrev sponsor_district sponsor_term_served /* |
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> */ sponsor_name sponsor_female sponsor_party sponsor_age sponsor_tenure_run sponsor_state_icpsr /* |
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> */ agestart comc comr anycoll ivycoll black occ0 occ1 occ2 occ3 occ4 occ5 occ6 borninstate dwnom1 DSpndPct /* |
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> */ mixed_gender_election MV1_democrat MV1_female femaleXMV1_female lag_demshare1 lnpop lnarea lninc pct_black pct_urban pct_for_born pct_age_over65 /* |
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> */ numb_cosponsors numb_cosponsors_opposite pct_cosponsors_opposite plaw_cbp passh women_friend1 women_friend3 minor house_* /* |
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> */ numb_cosponsors_tenure_59 numb_cosponsors_tenure_10plus numb_cosponsors_fem numb_cosponsors_leader var_cosp_dwnom1_spons m_betweenness_w_spons |
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. |
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. * Order the variables |
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. order private v2 HRnumber sponsor_state_abbrev sponsor_district sponsor_term_served /* |
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> */ sponsor_name sponsor_female sponsor_party sponsor_age sponsor_tenure_run sponsor_state_icpsr /* |
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> */ agestart comc comr anycoll ivycoll black occ0 occ1 occ2 occ3 occ4 occ5 occ6 borninstate dwnom1 DSpndPct /* |
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> */ mixed_gender_election MV1_democrat MV1_female femaleXMV1_female lag_demshare1 lnpop lnarea lninc pct_black pct_urban pct_for_born pct_age_over65 /* |
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> */ numb_cosponsors numb_cosponsors_opposite pct_cosponsors_opposite plaw_cbp passh women_friend1 women_friend3 minor house_* /* |
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> */ numb_cosponsors_tenure_59 numb_cosponsors_tenure_10plus numb_cosponsors_fem numb_cosponsors_leader var_cosp_dwnom1_spons m_betweenness_w_spons |
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. *label commands |
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. label data "Bill-level data set. Each observation is an individual bill." |
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. label var HRnumber "Bill H.R. number (B)" |
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. label var sponsor_state_abbrev "Sponsor state - postal code (I)" |
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. label var sponsor_district "Sponsor district (I)" |
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. label var sponsor_term_served "Sponsor order seated (I)" |
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. label var sponsor_name "Sponsor name (Congress.gov) (B)" |
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. label var sponsor_female "1 if sponsor is female (I)" |
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. label var sponsor_party "Sponsor party (I)" |
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. label var sponsor_age "Sponsor age (I)" |
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. label var sponsor_tenure_run "Sponsor tenure in Congress (I)" |
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. label var sponsor_state_icpsr "Sponsor state (ICPSR code) (I)" |
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. label var agestart "Age at start of term (I)" |
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. label var comc "Chair of any committee? (CBP) (I)" |
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. label var comr "Ranking member of any committee (CBP) (I)" |
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. label var anycoll "Any college degree? (ICPSR + congress.gov) (I)" |
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. label var ivycoll "Attended an Ivy League college (ICPSR + congress.gov) (I)" |
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. label var black "1 if black (ICPSR + congress.gov) (I)" |
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. label var occ0 "Last occupation unknown (ICPSR + congress.gov) (I)" |
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. label var occ1 "Last occupation: Education (ICPSR + congress.gov) (I)" |
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. label var occ2 "Last occupation: Lawyer(ICPSR + congress.gov) (I)" |
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. label var occ3 "Last occupation: Professional (ICPSR + congress.gov) (I)" |
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. label var occ4 "Last occupation: Business(ICPSR + congress.gov) (I)" |
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. label var occ5 "Last occupation: Agriculture (ICPSR + congress.gov) (I)" |
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. label var occ6 "Last occupation: Miscellaneous (ICPSR + congress.gov) (I)" |
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. label var borninstate "1 if born in state (ICPSR + congress.gov) (I)" |
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. label var dwnom1 "DW-Nominate, 1st dimension (Poole-Rosenthal) (I)" |
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. label var mixed_gender_election "1 if mixed gender election (D)" |
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. label var MV1_democrat "Margin of victory of the Democratic candidate (D)" |
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. label var MV1_female "Margin of victory of the female candidate in mixed-gender elections (D)" |
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. label var femaleXMV1_female "Sponsor female * MV1_female (D)" |
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. label var lag_demshare1 "Lagged Democratic share (D)" |
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. label var lnpop "ln(population) in cong. district (Scott Adler + Census Summary Files) (D)" |
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. label var lnarea "Ln(area in sq. miles) of cong. district (Scott Adler + Census Summary Files) (D)" |
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. label var lninc "Ln(median family income) of cong. district (Scott Adler + Census Summary Files) (D)" |
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note: label truncated to 80 characters |
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. label var pct_black "% black in cong. district (Scott Adler + Census Summary Files) (D)" |
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. label var pct_urban "% urban in cong. district (Scott Adler + Census Summary Files) (D)" |
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. label var pct_for_born "% foreign born in cong. district (Scott Adler + Census Summary Files) (D)" |
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. label var pct_age_over65 "% age over 65 in cong. district (Scott Adler + Census Summary Files) (D)" |
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. label var numb_cosponsors "Number of cosponsors (B)" |
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. label var numb_cosponsors_opposite "Number of cosponsors of the opposite party(B)" |
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. label var pct_cosponsors_opposite "Percent cosponsors of the opposite party(B)" |
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. label var plaw_cbp "Bill became public law (CBP) (B)" |
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. label var passh "Bill passed the House (CBP) (B)" |
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. label var women_friend1 "1 if CR, HE, LA, ED, LAW, SW (CBP) (B)" |
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. label var women_friend3 "1 if topic where fraction of F *sponsors* > 75th pctile (B)" |
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. label var minor "Minor topic code (CBP) (B)" |
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. |
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. foreach housecomm in "administration" /* |
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> */ "agriculture" /* |
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> */ "appropriations" /* |
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> */ "armedservices" /* |
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> */ "budget" /* |
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> */ "dc" /* |
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> */ "educlabor" /* |
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> */ "energycommerce" /* |
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> */ "foreignaffairs" /* |
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> */ "governmentop" /* |
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> */ "intelligence" /* |
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> */ "interior" /* |
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> */ "judiciary" /* |
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> */ "mmf" /* |
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> */ "pocs" /* |
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> */ "pwt" /* |
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> */ "rules" /* |
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> */ "sst" /* |
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> */ "smallbusi" /* |
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> */ "soc" /* |
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> */ "veterans" /* |
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> */ "waysandmeans" /* |
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> */ "naturalresources" /* |
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> */ "bfs" /* |
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> */ "eeo" /* |
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> */ "govreform" /* |
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> */ "ir" /* |
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> */ "natsecur" /* |
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> */ "oversight" /* |
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> */ "resources" /* |
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> */ "science" /* |
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> */ "transp" /* |
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> */ "homeland" { |
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2. label var house_`housecomm' "House Committee: `housecomm' (congress.gov) (B)" |
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3. } |
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. label var numb_cosponsors_tenure_59 "Number of cosponsors with tenure 5-9 (number of Congresses) (B)" |
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. label var numb_cosponsors_tenure_10plus "Number of cosponsors with tenure 10+ (number of Congresses) (B)" |
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. label var numb_cosponsors_fem "Number of female cosponsors (B)" |
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. label var numb_cosponsors_leader "Number of cosponsors who are either Committe chairs or ranking members (B)" |
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. label var var_cosp_dwnom1_spons "Variance of DW-Nominate1 among all cosponsors (including sponsor) (B)" |
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. label var m_betweenness_w_spons "Mean weighted betweenness centrality of all cosponsors (including sponsor) (B)" |
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. |
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. compress |
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variable v2 was long now int |
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variable women_friend1 was float now byte |
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variable numb_cosponsors_tenure_59 was float now int |
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variable numb_cosponsors_tenure_10plus was float now byte |
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variable numb_cosponsors_fem was float now byte |
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variable numb_cosponsors_leader was float now byte |
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(1,022,320 bytes saved) |
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. save "$AnalysisData/bills_analysis_101-111_replication.dta", replace |
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file /Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Data/AnalysisData/bills_analysis_101-111_replication.dta saved |
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. |
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. ******************************************************************************** |
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. ******************************************************************************** |
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. ******************************************************************************** |
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. ******************************************************************************** |
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. |
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. * From the cosponsors_analysis data, make a cleaner data set with only the variables that will be used in the analysis |
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. use "$IntermediateData/cosponsors_analysis_101-111_clean.dta", clear |
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. *drop if v2==103 & cosponsor_state_abbrev=="FL" & cosponsor_district==41 /* This Congressional District does not exist */ |
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. gen cosponsor_name = cosponsor /* Cosponsor name as in congress.gov */ |
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(18 missing values generated) |
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. replace cosponsor_name = cosp_name_clean if cosponsor_name=="" /* If congress.gov name is missing, replace with name from other source */ |
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(17 real changes made) |
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. * keep only relevant variables |
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. keep v2 cosponsor_state_abbrev cosponsor_district cosponsor_term_served cosponsor_name cosponsor_v1_fix /* |
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> */ pctbills_cosponsored_opp nbills_cosponsored_opp nbills_cosponsored /* |
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> */ cosponsor_female cosponsor_party cosponsor_age cosponsor_tenure_run cosponsor_state_icpsr /* |
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> */ cosp_comc cosp_comr cosp_ivycoll cosp_black cosp_occ0 cosp_occ1 cosp_occ2 cosp_occ3 cosp_occ4 cosp_occ5 cosp_occ6 /* |
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> */ cosp_borninstate cosp_dwnom1 cosp_DSpndPct /* |
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> */ cosp_mixed_gender_election cosp_MV1_democrat cosp_MV1_female femaleXcosp_MV1_female /* |
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> */ cosp_lnpop cosp_lnarea cosp_lninc cosp_pct_b cosp_pct_u cosp_pct_f cosp_pct_a house_*_m |
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. * Order the variables |
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. order v2 cosponsor_state_abbrev cosponsor_district cosponsor_term_served cosponsor_name cosponsor_v1_fix/* |
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> */ pctbills_cosponsored_opp nbills_cosponsored_opp nbills_cosponsored /* |
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> */ cosponsor_female cosponsor_party cosponsor_age cosponsor_tenure_run cosponsor_state_icpsr /* |
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> */ cosp_comc cosp_comr cosp_ivycoll cosp_black cosp_occ0 cosp_occ1 cosp_occ2 cosp_occ3 cosp_occ4 cosp_occ5 cosp_occ6 /* |
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> */ cosp_borninstate cosp_dwnom1 cosp_DSpndPct /* |
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> */ cosp_mixed_gender_election cosp_MV1_democrat cosp_MV1_female femaleXcosp_MV1_female /* |
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> */ cosp_lnpop cosp_lnarea cosp_lninc cosp_pct_b cosp_pct_u cosp_pct_f cosp_pct_a house_*_m |
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. *label commands |
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. label data "Individual-level data set. Each observation is an individual congress member." |
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. label var cosponsor_state_abbrev "State - postal code (I)" |
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. label var cosponsor_district "District (I)" |
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. label var cosponsor_term_served "Order seated (I)" |
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. label var cosponsor_name "Name (congress.gov) (I)" |
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. label var cosponsor_v1_fix "Congress member ICPSR code (v1), fixed and updated (I)" |
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. label var pctbills_cosponsored_opposite "Pct. bills cosponsored that were sponsored by a member of the opposite party (I)" |
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. label var nbills_cosponsored_opposite "Number of bills cosponsored that were sponsored by a member of the opposite party (I)" |
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note: label truncated to 80 characters |
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. label var nbills_cosponsored "Number of bills cosponsored (I)" |
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. label var cosponsor_female "1 if female (I)" |
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. label var cosponsor_party "Party (I)" |
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. label var cosponsor_age "Age (I)" |
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. label var cosponsor_tenure_run "Tenure in Congress (I)" |
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. label var cosponsor_state_icpsr "State (ICPSR code) (I)" |
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. label var cosp_comc "Chair of any committee? (CBP) (I)" |
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. label var cosp_comr "Ranking member of any committee (CBP) (I)" |
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. label var cosp_ivycoll "Attended an Ivy League college (ICPSR + congress.gov) (I)" |
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. label var cosp_black "1 if black (ICPSR + congress.gov) (I)" |
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. label var cosp_occ0 "Last occupation unknown (ICPSR + congress.gov) (I)" |
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. label var cosp_occ1 "Last occupation: Education (ICPSR + congress.gov) (I)" |
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. label var cosp_occ2 "Last occupation: Lawyer(ICPSR + congress.gov) (I)" |
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. label var cosp_occ3 "Last occupation: Professional (ICPSR + congress.gov) (I)" |
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. label var cosp_occ4 "Last occupation: Business(ICPSR + congress.gov) (I)" |
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. label var cosp_occ5 "Last occupation: Agriculture (ICPSR + congress.gov) (I)" |
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. label var cosp_occ6 "Last occupation: Miscellaneous (ICPSR + congress.gov) (I)" |
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. label var cosp_borninstate "1 if born in state (ICPSR + congress.gov) (I)" |
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. label var cosp_dwnom1 "DW-Nominate, 1st dimension (Poole-Rosenthal) (I)" |
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. label var cosp_mixed_gender_election "1 if mixed-gender election (D)" |
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. label var cosp_MV1_democrat "Margin of victory of the Democratic candidate (D)" |
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. label var cosp_MV1_female "Margin of victory of the female candidate in mixed-gender elections (D)" |
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. label var femaleXcosp_MV1_female "female * cosp_MV1_female (D)" |
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. label var cosp_lnpop "ln(population) in cong. district (Scott Adler + Census Summary Files) (D)" |
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. label var cosp_lnarea "Ln(area in sq. miles) of cong. district (Scott Adler + Census Summary Files) (D)" |
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. label var cosp_lninc "Ln(median family income) of cong. district (Scott Adler + Census Summary Files) (D)" |
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note: label truncated to 80 characters |
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. label var cosp_pct_b "% black in cong. district (Scott Adler + Census Summary Files) (D)" |
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. label var cosp_pct_u "% urban in cong. district (Scott Adler + Census Summary Files) (D)" |
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. label var cosp_pct_f "% foreign born in cong. district (Scott Adler + Census Summary Files) (D)" |
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. label var cosp_pct_a "% age over 65 in cong. district (Scott Adler + Census Summary Files) (D)" |
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. |
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. foreach housecomm in "administration" /* |
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> */ "agriculture" /* |
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> */ "appropriations" /* |
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> */ "armedservices" /* |
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> */ "budget" /* |
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> */ "dc" /* |
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> */ "educlabor" /* |
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> */ "energycommerce" /* |
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> */ "foreignaffairs" /* |
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> */ "governmentop" /* |
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> */ "intelligence" /* |
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> */ "interior" /* |
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> */ "judiciary" /* |
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> */ "mmf" /* |
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> */ "pocs" /* |
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> */ "pwt" /* |
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> */ "rules" /* |
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> */ "sst" /* |
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> */ "smallbusi" /* |
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> */ "soc" /* |
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> */ "veterans" /* |
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> */ "waysandmeans" /* |
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> */ "naturalresources" /* |
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> */ "bfs" /* |
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> */ "eeo" /* |
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> */ "govreform" /* |
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> */ "ir" /* |
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> */ "natsecur" /* |
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> */ "oversight" /* |
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> */ "resources" /* |
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> */ "science" /* |
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> */ "transp" /* |
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> */ "homeland" { |
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2. label var house_`housecomm'_m "House Committee: `housecomm' (congress.gov) (B)" |
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3. } |
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. |
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. compress |
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variable v2 was long now int |
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(9,754 bytes saved) |
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. save "$AnalysisData/cosponsors_analysis_101-111_replication.dta", replace |
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file /Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Data/AnalysisData/cosponsors_analysis_101-111_replication.dta saved |
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. |
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. ******************************************************************************** |
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. clear |
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. use "$IntermediateData/sponsors_analysis_101-111_clean.dta" |
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. ren sponsor sponsor_name |
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. keep v2 sponsor_state_abbrev sponsor_district sponsor_term_served sponsor_name /* |
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> */ sponsor_female sponsor_party dwnom1 predicted_dem |
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. order v2 sponsor_state_abbrev sponsor_district sponsor_term_served sponsor_name /* |
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> */ sponsor_female sponsor_party dwnom1 predicted_dem |
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. *label commands |
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. label data "Sponsor-level data set. Each observation is an individual congress member." |
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. label var sponsor_state_abbrev "Sponsor state - postal code (I)" |
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. label var sponsor_district "Sponsor district (I)" |
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. label var sponsor_term_served "Sponsor order seated (I)" |
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. label var sponsor_name "Sponsor name (Congress.gov) (B)" |
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. label var sponsor_female "1 if sponsor is female (I)" |
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. label var sponsor_party "Sponsor party (I)" |
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. label var dwnom1 "DW-Nominate, 1st dimension (Poole-Rosenthal) (I)" |
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. label var predicted_dem "Predicted democratic share (D)" |
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. |
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. save "$AnalysisData/sponsors_analysis_101-111_replication.dta", replace |
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file /Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Data/AnalysisData/sponsors_analysis_101-111_replication.dta saved |
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. |
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. |
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. log close |
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name: <unnamed> |
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log: /Users/stefanogagliarducci/Dropbox/various/published/womenpart/EJ/3 replication package/Log/003_prepare_data_replication.log |
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log type: text |
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closed on: 29 Mar 2021, 22:08:37 |
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