* transforming csv files to stata files clear import delimited Z:\JHR_conference_R&R\SecondRevision_R&R\FinalDataset_forpublication\dataforpublicationJuly2020\MAINDATApaperlevel.csv save "Z:\JHR_conference_R&R\SecondRevision_R&R\FinalDataset_forpublication\dataforpublicationJuly2020\MAINDATApaperlevel.dta", replace clear import delimited Z:\JHR_conference_R&R\SecondRevision_R&R\FinalDataset_forpublication\dataforpublicationJuly2020\MAINDATAauthorpaperlevel.csv save "Z:\JHR_conference_R&R\SecondRevision_R&R\FinalDataset_forpublication\dataforpublicationJuly2020\MAINDATAauthorpaperlevel.dta", replace clear import delimited Z:\JHR_conference_R&R\SecondRevision_R&R\FinalDataset_forpublication\dataforpublicationJuly2020\DataBoycott.csv save "Z:\JHR_conference_R&R\SecondRevision_R&R\FinalDataset_forpublication\dataforpublicationJuly2020\DataBoycott.dta", replace ***************************************************************************************************************************************************** ************************************************************* FIGURE A1 ****************************************************************************** ******************************************************************************************************************************************************* use "Z:\JHR_conference_R&R\SecondRevision_R&R\FinalDataset_forpublication\dataforpublicationJuly2020\DataBoycott.dta" graph bar (mean) mpsa apsa, over(year) title("Fig. A2: # Conf-authors Against the 2012 APSA Meeting") ylabel(0(100)300, nogrid) graphregion(fcolor(white)) legend(on) legend(label(2 "apsa") label(1 "mpsa")) bar(2, color(navy)) bar(1, color(maroon)) ***************************************************************************************************************************************************** ************************************************************* TABLE A2 ******************************************************************************* ******************************************************************************************************************************************************* ** panel A *matched sample use "Z:\JHR_conference_R&R\SecondRevision_R&R\FinalDataset_forpublication\dataforpublicationJuly2020\MAINDATApaperlevel.dta", clear sum numbauthors soloauthor top10 top10_100 belowtop100 haspublic ac_y2impfactor inssr if matchedsampleallsample==1 sum numbauthors soloauthor top10 top10_100 belowtop100 haspublic ac_y2impfactor inssr if apsa==1&matchedsampleallsample==1 sum numbauthors soloauthor top10 top10_100 belowtop100 haspublic ac_y2impfactor inssr if apsa==0&matchedsampleallsample==1 *full sample sum numbauthors soloauthor top10 top10_100 belowtop100 haspublic ac_y2impfactor inssr sum numbauthors soloauthor top10 top10_100 belowtop100 haspublic ac_y2impfactor inssr if apsa==1 sum numbauthors soloauthor top10 top10_100 belowtop100 haspublic ac_y2impfactor inssr if apsa==0 ***Panel b *matched sample sum numbauthors soloauthor top10 top10_100 belowtop100 haspublic ac_y2impfactor inssr if matchedsamplemozendasample==1 sum numbauthors soloauthor top10 top10_100 belowtop100 haspublic ac_y2impfactor inssr if apsa==1&matchedsamplemozendasample==1 sum numbauthors soloauthor top10 top10_100 belowtop100 haspublic ac_y2impfactor inssr if apsa==0&matchedsamplemozendasample==1 *full sample (Mozenda sample) sum numbauthors soloauthor top10 top10_100 belowtop100 haspublic ac_y2impfactor inssr if mozendasample_j==1 sum numbauthors soloauthor top10 top10_100 belowtop100 haspublic ac_y2impfactor inssr if apsa==1&mozendasample_j==1 sum numbauthors soloauthor top10 top10_100 belowtop100 haspublic ac_y2impfactor inssr if apsa==0&mozendasample_j==1 ***************************************************************************************************************************************************** ************************************************************* TABLE A3 ************************************************************* ******************************************************************************************************************************************************* **fULL SAMPLE tab foundssrn_j tab foundssrn_j if apsa==1 tab foundssrn_j if apsa==0 sum downloads39monthsafter_j if foundssrn_j==1 sum numbauthors soloauthor top10 top10_100 belowtop100 haspublic ac_y2impfactor inssr if foundssrn_j==1 **MAIN ARTICLE SAMPLE tab foundssrn_3yearafter tab foundssrn_3yearafter if apsa==1 tab foundssrn_3yearafter if apsa==0 sum downloads_39months sum numbauthors soloauthor top10 top10_100 belowtop100 haspublic ac_y2impfactor inssr if foundssrn_3yearafter==1 ***************************************************************************************************************************************************** ************************************************************* TABLE A4 ************************************************************* ******************************************************************************************************************************************************* foreach var of varlist r1p1download_adjusted_j r1p1downloads_adj4_j r1p1downloads_39months_j r1p1downloads39monthsafter_j { *first row reg `var' apsa2012 apsa year2012 year2011 year2010 apsa_yeartrend inssrn numbauthors ac_y2impfactor schools* if r1p1download_adjusted_j<500, robust } foreach var of varlist foundssrn_3yearafter_j foundssrn_j { *second row reg `var' apsa2012 apsa year2012 year2011 year2010 apsa_yeartrend inssrn numbauthors ac_y2impfactor schools* if r1p1downloads_39months_j<500, robust } foreach var of varlist download_adjusted_j downloads_adj4_j downloads_39months_j downloads39monthsafter_j { *third row reg `var' apsa2012 apsa year2012 year2011 year2010 apsa_yeartrend inssrn numbauthors ac_y2impfactor schools* if r1p1downloads_39months_j<500, robust } ******************************************************************************************************************************************************* ************************************************************* TABLE A5 ******************************************************************************** ******************************************************************************************************************************************************* use "Z:\JHR_conference_R&R\SecondRevision_R&R\FinalDataset_forpublication\dataforpublicationJuly2020\MAINDATApaperlevel.dta", clear keep if r1p1downloads39monthsafter>500 keep r1p1downloads39monthsafter event sort event r1p1downloads39monthsafter export delimited using "Z:\JHR_conference_R&R\SecondRevision_R&R\FinalDataset_forpublication\dataforpublicationJuly2020\TABLEA5.csv", replace ******************************************************************************************************************************************************* ************************************************************* TABLE A6 ******************************************************************************** ******************************************************************************************************************************************************* use "Z:\JHR_conference_R&R\SecondRevision_R&R\FinalDataset_forpublication\dataforpublicationJuly2020\MAINDATApaperlevel.dta", clear *** PANEL A foreach var of varlist r1p1downloads39monthsafter_j foundssrn_j downloads39monthsafter_j { * less than 250 downloads reg `var' apsa2012 apsa year2012 year2011 year2010 apsa_yeartrend inssrn numbauthors ac_y2impfactor schools* if r1p1downloads39monthsafter_j<250, robust } foreach var of varlist r1p1downloads39monthsafter_j foundssrn_j downloads39monthsafter_j { * less than 1000 downloads reg `var' apsa2012 apsa year2012 year2011 year2010 apsa_yeartrend inssrn numbauthors ac_y2impfactor schools* if r1p1downloads39monthsafter_j<1000, robust } foreach var of varlist r1p1downloads39monthsafter_j foundssrn_j downloads39monthsafter_j { * all papers reg `var' apsa2012 apsa year2012 year2011 year2010 apsa_yeartrend inssrn numbauthors ac_y2impfactor schools* , robust } foreach var of varlist r1p1downloads39monthsafter_j foundssrn_j downloads39monthsafter_j { * FOR matching sample reg `var' apsa2012 apsa year2012 year2011 year2010 apsa_yeartrend inssrn numbauthors ac_y2impfactor schools* if matchedsampleallsample==1, robust } foreach var of varlist w3r1p1downloads39monthsafter_j foundssrn_j w3downloads39monthsafter_j { * winsoring more than 500 downloads reg `var' apsa2012 apsa year2012 year2011 year2010 apsa_yeartrend inssrn numbauthors ac_y2impfactor schools* , robust } *** PANEL B (excluding articles that appear on both conferences) foreach var of varlist r1p1downloads39monthsafter_j foundssrn_j downloads39monthsafter_j { * less than 250 downloads reg `var' apsa2012 apsa year2012 year2011 year2010 apsa_yeartrend inssrn numbauthors ac_y2impfactor schools* if r1p1downloads39monthsafter_j<250&apsaandmpsa==0, robust } foreach var of varlist r1p1downloads39monthsafter_j foundssrn_j downloads39monthsafter_j { * less than 1000 downloads reg `var' apsa2012 apsa year2012 year2011 year2010 apsa_yeartrend inssrn numbauthors ac_y2impfactor schools* if r1p1downloads39monthsafter_j<1000&apsaandmpsa==0, robust } foreach var of varlist r1p1downloads39monthsafter_j foundssrn_j downloads39monthsafter_j { * all papers reg `var' apsa2012 apsa year2012 year2011 year2010 apsa_yeartrend inssrn numbauthors ac_y2impfactor schools* if apsaandmpsa==0, robust } foreach var of varlist r1p1downloads39monthsafter_j foundssrn_j downloads39monthsafter_j { * FOR matching sample reg `var' apsa2012 apsa year2012 year2011 year2010 apsa_yeartrend inssrn numbauthors ac_y2impfactor schools* if matchedsampleallsample==1&apsaandmpsa==0, robust } foreach var of varlist w3r1p1downloads39monthsafter_j foundssrn_j w3downloads39monthsafter_j { * winsoring more than 500 downloads reg `var' apsa2012 apsa year2012 year2011 year2010 apsa_yeartrend inssrn numbauthors ac_y2impfactor schools* if apsaandmpsa==0, robust } ******************************************************************************************************************************************************* ************************************************************* TABLE A7 ******************************************************************************** ******************************************************************************************************************************************************* use "Z:\JHR_conference_R&R\SecondRevision_R&R\FinalDataset_forpublication\dataforpublicationJuly2020\MAINDATApaperlevel.dta", clear ************************************************ PANEL A ***************************************************************** foreach var of varlist r1p1downloads39monthsafter_j downloads39monthsafter_j { * column 1 poisson `var' apsa2012 apsa year2012 year2011 year2010 apsa_yeartrend if r1p1downloads39monthsafter_j<500, robust * column 2 poisson `var' apsa2012 apsa year2012 year2011 year2010 apsa_yeartrend inssrn numbauthors ac_y2impfactor schools* if r1p1downloads39monthsafter_j<500, robust * column 3 poisson `var' apsa2012 apsa year2012 year2011 year2010 apsa_yeartrend inssrn numbauthors ac_y2impfactor schools* if r1p1downloads39monthsafter_j<500&matchedsampleallsample==1, robust } ************************************************ PANEL B ***************************************************************** *(excluding articles that appear on both conferences) foreach var of varlist r1p1downloads39monthsafter_j downloads39monthsafter_j { * column 1 poisson `var' apsa2012 apsa year2012 year2011 year2010 apsa_yeartrend if r1p1downloads39monthsafter_j<500&apsaandmpsa==0, robust * column 2 poisson `var' apsa2012 apsa year2012 year2011 year2010 apsa_yeartrend inssrn numbauthors ac_y2impfactor schools* if r1p1downloads39monthsafter_j<500&apsaandmpsa==0, robust * column 3 poisson `var' apsa2012 apsa year2012 year2011 year2010 apsa_yeartrend inssrn numbauthors ac_y2impfactor schools* if r1p1downloads39monthsafter_j<500&matchedsampleallsample==1&apsaandmpsa==0, robust } ******************************************************************************************************************************************************* ************************************************************* TABLE A8 ******************************************************************************** ******************************************************************************************************************************************************* use "Z:\JHR_conference_R&R\SecondRevision_R&R\FinalDataset_forpublication\dataforpublicationJuly2020\MAINDATApaperlevel.dta", clear foreach var of varlist anycitation_4y_3entries atleast2citation_4y_3entries atleast5citation_4y_3entries atleast10citation_4y_3entries { * row 1, NO CONTROLS reg `var' apsa2012 apsa year2012 year2011 year2010 apsa_yeartrend , robust * row 2, COVARIATES FOR ARTICLE CHARACTERISTICS reg `var' apsa2012 apsa year2012 year2011 year2010 apsa_yeartrend inssrn numbauthors ac_y2impfactor schools* , robust * row 4, COVARIATES FOR ARTICLE CHARACTERISTICS, BUT ONLY ONE CONFERENCE reg `var' apsa2012 apsa year2012 year2011 year2010 apsa_yeartrend inssrn numbauthors ac_y2impfactor schools* if apsaandmpsa==0, robust * row 5, COVARIATES FOR ARTICLE CHARACTERISTICS: MATCHING SAMPLE reg `var' apsa2012 apsa year2012 year2011 year2010 apsa_yeartrend inssrn numbauthors ac_y2impfactor schools* if matchedsamplemozendasample==1, robust } use "Z:\JHR_conference_R&R\SecondRevision_R&R\FinalDataset_forpublication\dataforpublicationJuly2020\MAINDATAauthorpaperlevel.dta", clear xtset author foreach var of varlist anycitation_4y_3entries atleast2citation_4y_3entries atleast5citation_4y_3entries atleast10citation_4y_3entries { * row 3, COVARIATES FOR ARTICLE CHARACTERISTICS AND author fixed effects xtreg `var' apsa2012 apsa year2012 year2011 year2010 apsa_yeartrend inssrn numbauthors ac_y2impfactor , robust fe * row 6, COVARIATES FOR ARTICLE CHARACTERISTICS AND author fixed effects: PROPENSITY SCORE SAMPLE xtreg `var' apsa2012 apsa year2012 year2011 year2010 apsa_yeartrend inssrn numbauthors ac_y2impfactor if matchedsamplemozendasample==1, robust fe } ******************************************************************************************************************************************************* ************************************************************* TABLE A9 ******************************************************************************** ******************************************************************************************************************************************************* * no fixed effects use "Z:\JHR_conference_R&R\SecondRevision_R&R\FinalDataset_forpublication\dataforpublicationJuly2020\MAINDATApaperlevel.dta", clear * 2years after reg ncitation_2y apsa2012 apsa year2012 year2011 year2010 apsa_yeartrend inssrn numbauthors ac_y2impfactor schools* , robust reg lncitation_2y apsa2012 apsa year2012 year2011 year2010 apsa_yeartrend inssrn numbauthors ac_y2impfactor schools* , robust nbreg ncitation_2y apsa2012 apsa year2012 year2011 year2010 apsa_yeartrend inssrn numbauthors ac_y2impfactor schools* , robust poisson ncitation_2y apsa2012 apsa year2012 year2011 year2010 apsa_yeartrend inssrn numbauthors ac_y2impfactor schools* , robust *4 years after reg ncitation_4y_10entries apsa2012 apsa year2012 year2011 year2010 apsa_yeartrend inssrn numbauthors ac_y2impfactor schools* , robust reg lncitation_4y_10entries apsa2012 apsa year2012 year2011 year2010 apsa_yeartrend inssrn numbauthors ac_y2impfactor schools* , robust nbreg ncitation_4y_10entries apsa2012 apsa year2012 year2011 year2010 apsa_yeartrend inssrn numbauthors ac_y2impfactor schools* , robust poisson ncitation_4y_10entries apsa2012 apsa year2012 year2011 year2010 apsa_yeartrend inssrn numbauthors ac_y2impfactor schools* , robust *fixed effects regressions use "Z:\JHR_conference_R&R\SecondRevision_R&R\FinalDataset_forpublication\dataforpublicationJuly2020\MAINDATAauthorpaperlevel.dta", clear * 2 years after xtset author xtreg ncitation_2y apsa2012 apsa year2012 year2011 year2010 apsa_yeartrend inssrn numbauthors ac_y2impfactor , robust fe xtreg lncitation_2y apsa2012 apsa year2012 year2011 year2010 apsa_yeartrend inssrn numbauthors ac_y2impfactor , robust fe xtnbreg ncitation_2y apsa2012 apsa year2012 year2011 year2010 apsa_yeartrend inssrn numbauthors ac_y2impfactor , fe xtpoisson ncitation_2y apsa2012 apsa year2012 year2011 year2010 apsa_yeartrend inssrn numbauthors ac_y2impfactor , fe * 4 years after xtreg ncitation_4y_10entries apsa2012 apsa year2012 year2011 year2010 apsa_yeartrend inssrn numbauthors ac_y2impfactor , robust fe xtreg lncitation_4y_10entries apsa2012 apsa year2012 year2011 year2010 apsa_yeartrend inssrn numbauthors ac_y2impfactor , robust fe xtnbreg ncitation_4y_10entries apsa2012 apsa year2012 year2011 year2010 apsa_yeartrend inssrn numbauthors ac_y2impfactor , fe xtpoisson ncitation_4y_10entries apsa2012 apsa year2012 year2011 year2010 apsa_yeartrend inssrn numbauthors ac_y2impfactor , fe ******************************************************************************************************************************************************* ************************************************************* TABLE A10 ******************************************************************************** ******************************************************************************************************************************************************* use "Z:\JHR_conference_R&R\SecondRevision_R&R\FinalDataset_forpublication\dataforpublicationJuly2020\MAINDATApaperlevel.dta", clear ** PANEL A: individual level sum author_hcited1a type4 type1 type2 type3 sum author_hcited1a type4 type1 type2 type3 if apsa==1 sum author_hcited1a type4 type1 type2 type3 if apsa==0 ** PANEL B: individual level: mozenda sum author_hcited1a type4 type1 type2 type3 if mozendasample_j==1 sum author_hcited1a type4 type1 type2 type3 if apsa==1&mozendasample_j==1 sum author_hcited1a type4 type1 type2 type3 if apsa==0&mozendasample_j==1