{smcl} {com}{sf}{ul off}{txt}{.-} name: {res} {txt}log: {res}C:\Users\ba9ze3-1\Dropbox\Dokumente\Papers\Party context paper\Paper # 3\Replication\KlüverSpoon_BJPS_LogFile.smcl {txt}log type: {res}smcl {txt}opened on: {res}27 May 2014, 21:07:02 {txt} {com}. . . . * ======== . * Table 2 . * ======== . . . * Model 1 . regress attent lag_attent lag_mip_all lag_pervote gov niche_party rile avg_sal_lag avgdm days, vce (cluster party_issue) {txt}Linear regression Number of obs ={res} 4993 {txt}F( 9, 1676) ={res} 315.01 {txt}Prob > F = {res} 0.0000 {txt}R-squared = {res} 0.5840 {txt}Root MSE = {res} 4.7531 {txt}{ralign 78:(Std. Err. adjusted for {res:1677} clusters in party_issue)} {hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12} {col 14}{c |}{col 26} Robust {col 1} attent{col 14}{c |} Coef.{col 26} Std. Err.{col 38} t{col 46} P>|t|{col 54} [95% Con{col 67}f. Interval] {hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12} {space 2}lag_attent {c |}{col 14}{res}{space 2} .4355716{col 26}{space 2} .0469916{col 37}{space 1} 9.27{col 46}{space 3}0.000{col 54}{space 4} .3434031{col 67}{space 3} .5277401 {txt}{space 1}lag_mip_all {c |}{col 14}{res}{space 2} .0451003{col 26}{space 2} .0114181{col 37}{space 1} 3.95{col 46}{space 3}0.000{col 54}{space 4} .0227051{col 67}{space 3} .0674954 {txt}{space 1}lag_pervote {c |}{col 14}{res}{space 2} .0004024{col 26}{space 2} .0067169{col 37}{space 1} 0.06{col 46}{space 3}0.952{col 54}{space 4} -.012772{col 67}{space 3} .0135768 {txt}{space 9}gov {c |}{col 14}{res}{space 2} .1201878{col 26}{space 2} .1579697{col 37}{space 1} 0.76{col 46}{space 3}0.447{col 54}{space 4}-.1896508{col 67}{space 3} .4300264 {txt}{space 1}niche_party {c |}{col 14}{res}{space 2}-.0625194{col 26}{space 2} .219616{col 37}{space 1} -0.28{col 46}{space 3}0.776{col 54}{space 4}-.4932699{col 67}{space 3} .3682311 {txt}{space 8}rile {c |}{col 14}{res}{space 2} .007459{col 26}{space 2} .0045087{col 37}{space 1} 1.65{col 46}{space 3}0.098{col 54}{space 4}-.0013843{col 67}{space 3} .0163023 {txt}{space 1}avg_sal_lag {c |}{col 14}{res}{space 2} .3902279{col 26}{space 2} .0401252{col 37}{space 1} 9.73{col 46}{space 3}0.000{col 54}{space 4} .3115271{col 67}{space 3} .4689287 {txt}{space 7}avgdm {c |}{col 14}{res}{space 2} .0006105{col 26}{space 2} .0011325{col 37}{space 1} 0.54{col 46}{space 3}0.590{col 54}{space 4}-.0016107{col 67}{space 3} .0028318 {txt}{space 8}days {c |}{col 14}{res}{space 2} .0001914{col 26}{space 2} .0001865{col 37}{space 1} 1.03{col 46}{space 3}0.305{col 54}{space 4}-.0001743{col 67}{space 3} .0005571 {txt}{space 7}_cons {c |}{col 14}{res}{space 2} .692708{col 26}{space 2} .2629009{col 37}{space 1} 2.63{col 46}{space 3}0.008{col 54}{space 4} .1770593{col 67}{space 3} 1.208357 {txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12} {res}{txt} {com}. . * Model 2 . regress attent lag_attent lag_mip_all lag_pervote gov niche_party rile avg_sal_lag avgdm days lag_pervote_lag_mip_all gov_lag_mip_all niche_party_lag_mip_all, vce (cluster party_issue) {txt}Linear regression Number of obs ={res} 4993 {txt}F( 12, 1676) ={res} 237.14 {txt}Prob > F = {res} 0.0000 {txt}R-squared = {res} 0.5855 {txt}Root MSE = {res} 4.7457 {txt}{ralign 89:(Std. Err. adjusted for {res:1677} clusters in party_issue)} {hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12} {col 25}{c |}{col 37} Robust {col 1} attent{col 25}{c |} Coef.{col 37} Std. Err.{col 49} t{col 57} P>|t|{col 65} [95% Con{col 78}f. Interval] {hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12} {space 13}lag_attent {c |}{col 25}{res}{space 2} .4318523{col 37}{space 2} .0474536{col 48}{space 1} 9.10{col 57}{space 3}0.000{col 65}{space 4} .3387777{col 78}{space 3} .5249269 {txt}{space 12}lag_mip_all {c |}{col 25}{res}{space 2} .0357246{col 37}{space 2} .018083{col 48}{space 1} 1.98{col 57}{space 3}0.048{col 65}{space 4} .0002569{col 78}{space 3} .0711922 {txt}{space 12}lag_pervote {c |}{col 25}{res}{space 2}-.0092095{col 37}{space 2} .0063213{col 48}{space 1} -1.46{col 57}{space 3}0.145{col 65}{space 4} -.021608{col 78}{space 3} .003189 {txt}{space 20}gov {c |}{col 25}{res}{space 2} .3420598{col 37}{space 2} .1567523{col 48}{space 1} 2.18{col 57}{space 3}0.029{col 65}{space 4} .0346089{col 78}{space 3} .6495108 {txt}{space 12}niche_party {c |}{col 25}{res}{space 2}-.0193139{col 37}{space 2} .2181718{col 48}{space 1} -0.09{col 57}{space 3}0.929{col 65}{space 4}-.4472318{col 78}{space 3} .408604 {txt}{space 19}rile {c |}{col 25}{res}{space 2} .007557{col 37}{space 2} .0044982{col 48}{space 1} 1.68{col 57}{space 3}0.093{col 65}{space 4}-.0012657{col 78}{space 3} .0163798 {txt}{space 12}avg_sal_lag {c |}{col 25}{res}{space 2} .3938074{col 37}{space 2} .0408987{col 48}{space 1} 9.63{col 57}{space 3}0.000{col 65}{space 4} .3135895{col 78}{space 3} .4740252 {txt}{space 18}avgdm {c |}{col 25}{res}{space 2} .0005873{col 37}{space 2} .0011374{col 48}{space 1} 0.52{col 57}{space 3}0.606{col 65}{space 4}-.0016436{col 78}{space 3} .0028183 {txt}{space 19}days {c |}{col 25}{res}{space 2} .0001927{col 37}{space 2} .0001864{col 48}{space 1} 1.03{col 57}{space 3}0.301{col 65}{space 4}-.0001729{col 78}{space 3} .0005583 {txt}lag_pervote_lag_mip_all {c |}{col 25}{res}{space 2} .0016051{col 37}{space 2} .0006789{col 48}{space 1} 2.36{col 57}{space 3}0.018{col 65}{space 4} .0002735{col 78}{space 3} .0029366 {txt}{space 8}gov_lag_mip_all {c |}{col 25}{res}{space 2}-.0374579{col 37}{space 2} .0188823{col 48}{space 1} -1.98{col 57}{space 3}0.047{col 65}{space 4}-.0744932{col 78}{space 3}-.0004225 {txt}niche_party_lag_mip_all {c |}{col 25}{res}{space 2}-.0065743{col 37}{space 2} .0216025{col 48}{space 1} -0.30{col 57}{space 3}0.761{col 65}{space 4} -.048945{col 78}{space 3} .0357965 {txt}{space 18}_cons {c |}{col 25}{res}{space 2} .7493844{col 37}{space 2} .2564942{col 48}{space 1} 2.92{col 57}{space 3}0.004{col 65}{space 4} .2463016{col 78}{space 3} 1.252467 {txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12} {res}{txt} {com}. . * Model 3 . regress attent lag_attent lag_mip_all lag_pervote gov niche_party rile avg_sal_lag avgdm days /// > lag_pervote_lag_mip_all gov_lag_mip_all niche_party_lag_mip_all rile_lag_mip_all avg_sal_lag_lag_mip_all avgdm_lag_mip_all days_lag_mip_all, vce (cluster party_issue) {txt}Linear regression Number of obs ={res} 4993 {txt}F( 16, 1676) ={res} 215.27 {txt}Prob > F = {res} 0.0000 {txt}R-squared = {res} 0.5966 {txt}Root MSE = {res} 4.6838 {txt}{ralign 89:(Std. Err. adjusted for {res:1677} clusters in party_issue)} {hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12} {col 25}{c |}{col 37} Robust {col 1} attent{col 25}{c |} Coef.{col 37} Std. Err.{col 49} t{col 57} P>|t|{col 65} [95% Con{col 78}f. Interval] {hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12} {space 13}lag_attent {c |}{col 25}{res}{space 2} .4175556{col 37}{space 2} .0486931{col 48}{space 1} 8.58{col 57}{space 3}0.000{col 65}{space 4} .32205{col 78}{space 3} .5130612 {txt}{space 12}lag_mip_all {c |}{col 25}{res}{space 2} .1509117{col 37}{space 2} .0361551{col 48}{space 1} 4.17{col 57}{space 3}0.000{col 65}{space 4} .0799978{col 78}{space 3} .2218257 {txt}{space 12}lag_pervote {c |}{col 25}{res}{space 2}-.0087473{col 37}{space 2} .006461{col 48}{space 1} -1.35{col 57}{space 3}0.176{col 65}{space 4}-.0214198{col 78}{space 3} .0039252 {txt}{space 20}gov {c |}{col 25}{res}{space 2} .3781382{col 37}{space 2} .1558806{col 48}{space 1} 2.43{col 57}{space 3}0.015{col 65}{space 4} .072397{col 78}{space 3} .6838795 {txt}{space 12}niche_party {c |}{col 25}{res}{space 2}-.0646426{col 37}{space 2} .2141501{col 48}{space 1} -0.30{col 57}{space 3}0.763{col 65}{space 4}-.4846724{col 78}{space 3} .3553871 {txt}{space 19}rile {c |}{col 25}{res}{space 2}-.0034987{col 37}{space 2} .0039846{col 48}{space 1} -0.88{col 57}{space 3}0.380{col 65}{space 4} -.011314{col 78}{space 3} .0043166 {txt}{space 12}avg_sal_lag {c |}{col 25}{res}{space 2} .4429921{col 37}{space 2} .042439{col 48}{space 1} 10.44{col 57}{space 3}0.000{col 65}{space 4} .359753{col 78}{space 3} .5262311 {txt}{space 18}avgdm {c |}{col 25}{res}{space 2} .0002098{col 37}{space 2} .0010557{col 48}{space 1} 0.20{col 57}{space 3}0.843{col 65}{space 4}-.0018608{col 78}{space 3} .0022803 {txt}{space 19}days {c |}{col 25}{res}{space 2} .0001309{col 37}{space 2} .0002004{col 48}{space 1} 0.65{col 57}{space 3}0.514{col 65}{space 4}-.0002621{col 78}{space 3} .000524 {txt}lag_pervote_lag_mip_all {c |}{col 25}{res}{space 2} .0013136{col 37}{space 2} .0007311{col 48}{space 1} 1.80{col 57}{space 3}0.073{col 65}{space 4}-.0001205{col 78}{space 3} .0027476 {txt}{space 8}gov_lag_mip_all {c |}{col 25}{res}{space 2}-.0464189{col 37}{space 2} .0163529{col 48}{space 1} -2.84{col 57}{space 3}0.005{col 65}{space 4}-.0784931{col 78}{space 3}-.0143446 {txt}niche_party_lag_mip_all {c |}{col 25}{res}{space 2}-.0183675{col 37}{space 2} .0225744{col 48}{space 1} -0.81{col 57}{space 3}0.416{col 65}{space 4}-.0626444{col 78}{space 3} .0259094 {txt}{space 7}rile_lag_mip_all {c |}{col 25}{res}{space 2} .0018571{col 37}{space 2} .0005142{col 48}{space 1} 3.61{col 57}{space 3}0.000{col 65}{space 4} .0008487{col 78}{space 3} .0028656 {txt}avg_sal_lag_lag_mip_all {c |}{col 25}{res}{space 2}-.0054353{col 37}{space 2} .0010849{col 48}{space 1} -5.01{col 57}{space 3}0.000{col 65}{space 4}-.0075632{col 78}{space 3}-.0033073 {txt}{space 6}avgdm_lag_mip_all {c |}{col 25}{res}{space 2}-.0001165{col 37}{space 2} .0000966{col 48}{space 1} -1.21{col 57}{space 3}0.228{col 65}{space 4}-.0003059{col 78}{space 3} .0000729 {txt}{space 7}days_lag_mip_all {c |}{col 25}{res}{space 2}-.0000125{col 37}{space 2} .0000154{col 48}{space 1} -0.81{col 57}{space 3}0.417{col 65}{space 4}-.0000428{col 78}{space 3} .0000178 {txt}{space 18}_cons {c |}{col 25}{res}{space 2} .5239283{col 37}{space 2} .2722991{col 48}{space 1} 1.92{col 57}{space 3}0.055{col 65}{space 4}-.0101538{col 78}{space 3} 1.05801 {txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12} {res}{txt} {com}. . . . . * ======== . * Table 3 . * ======== . . . * Model 4 . regress attent lag_attent lag_mip_all lag_pervote gov rile avg_sal_lag avgdm days /// > green env_issue green_env env_issue_lag_mip_all green_lag_mip_all green_env_issue_lag_mip_all, vce (cluster party_issue) {txt}Linear regression Number of obs ={res} 4993 {txt}F( 14, 1676) ={res} 204.61 {txt}Prob > F = {res} 0.0000 {txt}R-squared = {res} 0.5863 {txt}Root MSE = {res} 4.7423 {txt}{ralign 93:(Std. Err. adjusted for {res:1677} clusters in party_issue)} {hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12} {col 29}{c |}{col 41} Robust {col 1} attent{col 29}{c |} Coef.{col 41} Std. Err.{col 53} t{col 61} P>|t|{col 69} [95% Con{col 82}f. Interval] {hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12} {space 17}lag_attent {c |}{col 29}{res}{space 2} .4183773{col 41}{space 2} .0491188{col 52}{space 1} 8.52{col 61}{space 3}0.000{col 69}{space 4} .3220365{col 82}{space 3} .514718 {txt}{space 16}lag_mip_all {c |}{col 29}{res}{space 2} .0461105{col 41}{space 2} .0123403{col 52}{space 1} 3.74{col 61}{space 3}0.000{col 69}{space 4} .0219064{col 82}{space 3} .0703146 {txt}{space 16}lag_pervote {c |}{col 29}{res}{space 2} .0016266{col 41}{space 2} .0065304{col 52}{space 1} 0.25{col 61}{space 3}0.803{col 69}{space 4}-.0111821{col 82}{space 3} .0144352 {txt}{space 24}gov {c |}{col 29}{res}{space 2} .1283996{col 41}{space 2} .1578995{col 52}{space 1} 0.81{col 61}{space 3}0.416{col 69}{space 4}-.1813013{col 82}{space 3} .4381006 {txt}{space 23}rile {c |}{col 29}{res}{space 2} .0078237{col 41}{space 2} .0045685{col 52}{space 1} 1.71{col 61}{space 3}0.087{col 69}{space 4}-.0011369{col 82}{space 3} .0167843 {txt}{space 16}avg_sal_lag {c |}{col 29}{res}{space 2} .4055099{col 41}{space 2} .0415234{col 52}{space 1} 9.77{col 61}{space 3}0.000{col 69}{space 4} .3240667{col 82}{space 3} .4869531 {txt}{space 22}avgdm {c |}{col 29}{res}{space 2} .0007828{col 41}{space 2} .0011402{col 52}{space 1} 0.69{col 61}{space 3}0.492{col 69}{space 4}-.0014535{col 82}{space 3} .0030191 {txt}{space 23}days {c |}{col 29}{res}{space 2} .0001759{col 41}{space 2} .0001881{col 52}{space 1} 0.93{col 61}{space 3}0.350{col 69}{space 4}-.0001931{col 82}{space 3} .0005448 {txt}{space 22}green {c |}{col 29}{res}{space 2}-.2836178{col 41}{space 2} .2365687{col 52}{space 1} -1.20{col 61}{space 3}0.231{col 69}{space 4}-.7476189{col 82}{space 3} .1803834 {txt}{space 18}env_issue {c |}{col 29}{res}{space 2} -.150807{col 41}{space 2} .2839869{col 52}{space 1} -0.53{col 61}{space 3}0.595{col 69}{space 4}-.7078134{col 82}{space 3} .4061993 {txt}{space 18}green_env {c |}{col 29}{res}{space 2} 3.816411{col 41}{space 2} 1.623196{col 52}{space 1} 2.35{col 61}{space 3}0.019{col 69}{space 4} .6327066{col 82}{space 3} 7.000116 {txt}{space 6}env_issue_lag_mip_all {c |}{col 29}{res}{space 2}-.0687444{col 41}{space 2} .0414295{col 52}{space 1} -1.66{col 61}{space 3}0.097{col 69}{space 4}-.1500034{col 82}{space 3} .0125147 {txt}{space 10}green_lag_mip_all {c |}{col 29}{res}{space 2} .0062304{col 41}{space 2} .0353791{col 52}{space 1} 0.18{col 61}{space 3}0.860{col 69}{space 4}-.0631615{col 82}{space 3} .0756223 {txt}green_env_issue_lag_mip_all {c |}{col 29}{res}{space 2} .1825118{col 41}{space 2} .1514383{col 52}{space 1} 1.21{col 61}{space 3}0.228{col 69}{space 4}-.1145164{col 82}{space 3} .4795399 {txt}{space 22}_cons {c |}{col 29}{res}{space 2} .7169303{col 41}{space 2} .2648796{col 52}{space 1} 2.71{col 61}{space 3}0.007{col 69}{space 4} .1974006{col 82}{space 3} 1.23646 {txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12} {res}{txt} {com}. . * Model 5 . regress attent lag_attent lag_mip_all lag_pervote gov rile avg_sal_lag avgdm days /// > green env_issue green_env env_issue_lag_mip_all green_lag_mip_all green_env_issue_lag_mip_all /// > lag_pervote_lag_mip_all gov_lag_mip_all rile_lag_mip_all avg_sal_lag_lag_mip_all avgdm_lag_mip_all days_lag_mip_all, vce (cluster party_issue) {txt}Linear regression Number of obs ={res} 4993 {txt}F( 20, 1676) ={res} 178.40 {txt}Prob > F = {res} 0.0000 {txt}R-squared = {res} 0.5998 {txt}Root MSE = {res} 4.6671 {txt}{ralign 93:(Std. Err. adjusted for {res:1677} clusters in party_issue)} {hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12} {col 29}{c |}{col 41} Robust {col 1} attent{col 29}{c |} Coef.{col 41} Std. Err.{col 53} t{col 61} P>|t|{col 69} [95% Con{col 82}f. Interval] {hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12} {space 17}lag_attent {c |}{col 29}{res}{space 2} .3991471{col 41}{space 2} .0505705{col 52}{space 1} 7.89{col 61}{space 3}0.000{col 69}{space 4} .2999591{col 82}{space 3} .498335 {txt}{space 16}lag_mip_all {c |}{col 29}{res}{space 2} .1525795{col 41}{space 2} .0350191{col 52}{space 1} 4.36{col 61}{space 3}0.000{col 69}{space 4} .0838936{col 82}{space 3} .2212653 {txt}{space 16}lag_pervote {c |}{col 29}{res}{space 2}-.0091984{col 41}{space 2} .006259{col 52}{space 1} -1.47{col 61}{space 3}0.142{col 69}{space 4}-.0214746{col 82}{space 3} .0030779 {txt}{space 24}gov {c |}{col 29}{res}{space 2} .3982808{col 41}{space 2} .1555671{col 52}{space 1} 2.56{col 61}{space 3}0.011{col 69}{space 4} .0931546{col 82}{space 3} .703407 {txt}{space 23}rile {c |}{col 29}{res}{space 2}-.0038036{col 41}{space 2} .0040376{col 52}{space 1} -0.94{col 61}{space 3}0.346{col 69}{space 4}-.0117227{col 82}{space 3} .0041156 {txt}{space 16}avg_sal_lag {c |}{col 29}{res}{space 2} .4604204{col 41}{space 2} .0435176{col 52}{space 1} 10.58{col 61}{space 3}0.000{col 69}{space 4} .3750659{col 82}{space 3} .545775 {txt}{space 22}avgdm {c |}{col 29}{res}{space 2} .0002174{col 41}{space 2} .0010698{col 52}{space 1} 0.20{col 61}{space 3}0.839{col 69}{space 4}-.0018809{col 82}{space 3} .0023157 {txt}{space 23}days {c |}{col 29}{res}{space 2} .0001504{col 41}{space 2} .0002008{col 52}{space 1} 0.75{col 61}{space 3}0.454{col 69}{space 4}-.0002435{col 82}{space 3} .0005442 {txt}{space 22}green {c |}{col 29}{res}{space 2}-.5991461{col 41}{space 2} .2323922{col 52}{space 1} -2.58{col 61}{space 3}0.010{col 69}{space 4}-1.054956{col 82}{space 3}-.1433367 {txt}{space 18}env_issue {c |}{col 29}{res}{space 2}-.1967524{col 41}{space 2} .2830918{col 52}{space 1} -0.70{col 61}{space 3}0.487{col 69}{space 4}-.7520032{col 82}{space 3} .3584983 {txt}{space 18}green_env {c |}{col 29}{res}{space 2} 4.13381{col 41}{space 2} 1.634305{col 52}{space 1} 2.53{col 61}{space 3}0.012{col 69}{space 4} .9283162{col 82}{space 3} 7.339304 {txt}{space 6}env_issue_lag_mip_all {c |}{col 29}{res}{space 2}-.0882105{col 41}{space 2} .0477546{col 52}{space 1} -1.85{col 61}{space 3}0.065{col 69}{space 4}-.1818754{col 82}{space 3} .0054544 {txt}{space 10}green_lag_mip_all {c |}{col 29}{res}{space 2} .0530668{col 41}{space 2} .0356477{col 52}{space 1} 1.49{col 61}{space 3}0.137{col 69}{space 4} -.016852{col 82}{space 3} .1229856 {txt}green_env_issue_lag_mip_all {c |}{col 29}{res}{space 2} .1823129{col 41}{space 2} .1523096{col 52}{space 1} 1.20{col 61}{space 3}0.231{col 69}{space 4}-.1164242{col 82}{space 3} .48105 {txt}{space 4}lag_pervote_lag_mip_all {c |}{col 29}{res}{space 2} .0017327{col 41}{space 2} .0007026{col 52}{space 1} 2.47{col 61}{space 3}0.014{col 69}{space 4} .0003546{col 82}{space 3} .0031108 {txt}{space 12}gov_lag_mip_all {c |}{col 29}{res}{space 2}-.0489658{col 41}{space 2} .016117{col 52}{space 1} -3.04{col 61}{space 3}0.002{col 69}{space 4}-.0805773{col 82}{space 3}-.0173542 {txt}{space 11}rile_lag_mip_all {c |}{col 29}{res}{space 2} .0019688{col 41}{space 2} .0005243{col 52}{space 1} 3.75{col 61}{space 3}0.000{col 69}{space 4} .0009404{col 82}{space 3} .0029973 {txt}{space 4}avg_sal_lag_lag_mip_all {c |}{col 29}{res}{space 2}-.0054304{col 41}{space 2} .0010749{col 52}{space 1} -5.05{col 61}{space 3}0.000{col 69}{space 4}-.0075388{col 82}{space 3} -.003322 {txt}{space 10}avgdm_lag_mip_all {c |}{col 29}{res}{space 2}-.0000791{col 41}{space 2} .0000958{col 52}{space 1} -0.83{col 61}{space 3}0.409{col 69}{space 4} -.000267{col 82}{space 3} .0001087 {txt}{space 11}days_lag_mip_all {c |}{col 29}{res}{space 2}-.0000217{col 41}{space 2} .0000144{col 52}{space 1} -1.51{col 61}{space 3}0.132{col 69}{space 4}-.0000499{col 82}{space 3} 6.55e-06 {txt}{space 22}_cons {c |}{col 29}{res}{space 2} .5473281{col 41}{space 2} .272781{col 52}{space 1} 2.01{col 61}{space 3}0.045{col 69}{space 4} .0123009{col 82}{space 3} 1.082355 {txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12} {res}{txt} {com}. . * Model 6 . regress attent lag_attent lag_mip_par lag_pervote gov rile avg_sal_lag avgdm days /// > green env_issue green_env env_issue_lag_mip_par green_lag_mip_par green_env_issue_lag_mip_par, vce (cluster party_issue) {txt}Linear regression Number of obs ={res} 4889 {txt}F( 14, 1585) ={res} 212.57 {txt}Prob > F = {res} 0.0000 {txt}R-squared = {res} 0.5844 {txt}Root MSE = {res} 4.767 {txt}{ralign 93:(Std. Err. adjusted for {res:1586} clusters in party_issue)} {hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12} {col 29}{c |}{col 41} Robust {col 1} attent{col 29}{c |} Coef.{col 41} Std. Err.{col 53} t{col 61} P>|t|{col 69} [95% Con{col 82}f. Interval] {hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12} {space 17}lag_attent {c |}{col 29}{res}{space 2} .4099027{col 41}{space 2} .0504238{col 52}{space 1} 8.13{col 61}{space 3}0.000{col 69}{space 4} .3109984{col 82}{space 3} .5088071 {txt}{space 16}lag_mip_par {c |}{col 29}{res}{space 2} .0440186{col 41}{space 2} .011901{col 52}{space 1} 3.70{col 61}{space 3}0.000{col 69}{space 4} .0206753{col 82}{space 3} .0673618 {txt}{space 16}lag_pervote {c |}{col 29}{res}{space 2}-.0012733{col 41}{space 2} .0065779{col 52}{space 1} -0.19{col 61}{space 3}0.847{col 69}{space 4}-.0141756{col 82}{space 3} .0116289 {txt}{space 24}gov {c |}{col 29}{res}{space 2} .1238771{col 41}{space 2} .1606856{col 52}{space 1} 0.77{col 61}{space 3}0.441{col 69}{space 4}-.1913016{col 82}{space 3} .4390557 {txt}{space 23}rile {c |}{col 29}{res}{space 2} .0079941{col 41}{space 2} .0046764{col 52}{space 1} 1.71{col 61}{space 3}0.088{col 69}{space 4}-.0011785{col 82}{space 3} .0171667 {txt}{space 16}avg_sal_lag {c |}{col 29}{res}{space 2} .4257888{col 41}{space 2} .0430783{col 52}{space 1} 9.88{col 61}{space 3}0.000{col 69}{space 4} .3412924{col 82}{space 3} .5102853 {txt}{space 22}avgdm {c |}{col 29}{res}{space 2} .000976{col 41}{space 2} .0011327{col 52}{space 1} 0.86{col 61}{space 3}0.389{col 69}{space 4}-.0012458{col 82}{space 3} .0031977 {txt}{space 23}days {c |}{col 29}{res}{space 2} .0001664{col 41}{space 2} .0001931{col 52}{space 1} 0.86{col 61}{space 3}0.389{col 69}{space 4}-.0002123{col 82}{space 3} .000545 {txt}{space 22}green {c |}{col 29}{res}{space 2}-.1599357{col 41}{space 2} .2476261{col 52}{space 1} -0.65{col 61}{space 3}0.518{col 69}{space 4}-.6456449{col 82}{space 3} .3257734 {txt}{space 18}env_issue {c |}{col 29}{res}{space 2} -.358536{col 41}{space 2} .2753136{col 52}{space 1} -1.30{col 61}{space 3}0.193{col 69}{space 4}-.8985532{col 82}{space 3} .1814811 {txt}{space 18}green_env {c |}{col 29}{res}{space 2} 2.814558{col 41}{space 2} 1.663342{col 52}{space 1} 1.69{col 61}{space 3}0.091{col 69}{space 4}-.4480232{col 82}{space 3} 6.077139 {txt}{space 6}env_issue_lag_mip_par {c |}{col 29}{res}{space 2}-.0424874{col 41}{space 2} .0372808{col 52}{space 1} -1.14{col 61}{space 3}0.255{col 69}{space 4}-.1156123{col 82}{space 3} .0306375 {txt}{space 10}green_lag_mip_par {c |}{col 29}{res}{space 2} -.028328{col 41}{space 2} .0233227{col 52}{space 1} -1.21{col 61}{space 3}0.225{col 69}{space 4}-.0740746{col 82}{space 3} .0174187 {txt}green_env_issue_lag_mip_par {c |}{col 29}{res}{space 2} .142103{col 41}{space 2} .0552075{col 52}{space 1} 2.57{col 61}{space 3}0.010{col 69}{space 4} .0338157{col 82}{space 3} .2503904 {txt}{space 22}_cons {c |}{col 29}{res}{space 2} .755168{col 41}{space 2} .2679152{col 52}{space 1} 2.82{col 61}{space 3}0.005{col 69}{space 4} .2296625{col 82}{space 3} 1.280673 {txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12} {res}{txt} {com}. . * Model 7 . regress attent lag_attent lag_mip_par lag_pervote gov rile avg_sal_lag avgdm days /// > green env_issue green_env env_issue_lag_mip_par green_lag_mip_par green_env_issue_lag_mip_par /// > lag_pervote_lag_mip_par gov_lag_mip_par rile_lag_mip_par avg_sal_lag_lag_mip_par avgdm_lag_mip_par days_lag_mip_par, vce (cluster party_issue) {txt}Linear regression Number of obs ={res} 4889 {txt}F( 20, 1585) ={res} 183.63 {txt}Prob > F = {res} 0.0000 {txt}R-squared = {res} 0.5972 {txt}Root MSE = {res} 4.6964 {txt}{ralign 93:(Std. Err. adjusted for {res:1586} clusters in party_issue)} {hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12} {col 29}{c |}{col 41} Robust {col 1} attent{col 29}{c |} Coef.{col 41} Std. Err.{col 53} t{col 61} P>|t|{col 69} [95% Con{col 82}f. Interval] {hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12} {space 17}lag_attent {c |}{col 29}{res}{space 2} .3890583{col 41}{space 2} .0524103{col 52}{space 1} 7.42{col 61}{space 3}0.000{col 69}{space 4} .2862575{col 82}{space 3} .4918592 {txt}{space 16}lag_mip_par {c |}{col 29}{res}{space 2} .1819033{col 41}{space 2} .040445{col 52}{space 1} 4.50{col 61}{space 3}0.000{col 69}{space 4} .102572{col 82}{space 3} .2612347 {txt}{space 16}lag_pervote {c |}{col 29}{res}{space 2}-.0107232{col 41}{space 2} .0060851{col 52}{space 1} -1.76{col 61}{space 3}0.078{col 69}{space 4}-.0226589{col 82}{space 3} .0012125 {txt}{space 24}gov {c |}{col 29}{res}{space 2} .2836256{col 41}{space 2} .1545026{col 52}{space 1} 1.84{col 61}{space 3}0.067{col 69}{space 4}-.0194253{col 82}{space 3} .5866764 {txt}{space 23}rile {c |}{col 29}{res}{space 2}-.0003534{col 41}{space 2} .0040999{col 52}{space 1} -0.09{col 61}{space 3}0.931{col 69}{space 4}-.0083953{col 82}{space 3} .0076885 {txt}{space 16}avg_sal_lag {c |}{col 29}{res}{space 2} .4785612{col 41}{space 2} .0450586{col 52}{space 1} 10.62{col 61}{space 3}0.000{col 69}{space 4} .3901805{col 82}{space 3} .5669418 {txt}{space 22}avgdm {c |}{col 29}{res}{space 2} .0007461{col 41}{space 2} .0010639{col 52}{space 1} 0.70{col 61}{space 3}0.483{col 69}{space 4}-.0013406{col 82}{space 3} .0028328 {txt}{space 23}days {c |}{col 29}{res}{space 2} .0001604{col 41}{space 2} .0002021{col 52}{space 1} 0.79{col 61}{space 3}0.427{col 69}{space 4}-.0002359{col 82}{space 3} .0005568 {txt}{space 22}green {c |}{col 29}{res}{space 2}-.4090891{col 41}{space 2} .2409686{col 52}{space 1} -1.70{col 61}{space 3}0.090{col 69}{space 4}-.8817397{col 82}{space 3} .0635615 {txt}{space 18}env_issue {c |}{col 29}{res}{space 2} -.419108{col 41}{space 2} .2706798{col 52}{space 1} -1.55{col 61}{space 3}0.122{col 69}{space 4}-.9500361{col 82}{space 3} .1118201 {txt}{space 18}green_env {c |}{col 29}{res}{space 2} 3.089116{col 41}{space 2} 1.682994{col 52}{space 1} 1.84{col 61}{space 3}0.067{col 69}{space 4}-.2120116{col 82}{space 3} 6.390243 {txt}{space 6}env_issue_lag_mip_par {c |}{col 29}{res}{space 2}-.0509368{col 41}{space 2} .040893{col 52}{space 1} -1.25{col 61}{space 3}0.213{col 69}{space 4}-.1311468{col 82}{space 3} .0292732 {txt}{space 10}green_lag_mip_par {c |}{col 29}{res}{space 2} .0068011{col 41}{space 2} .0260412{col 52}{space 1} 0.26{col 61}{space 3}0.794{col 69}{space 4}-.0442777{col 82}{space 3} .0578799 {txt}green_env_issue_lag_mip_par {c |}{col 29}{res}{space 2} .1423518{col 41}{space 2} .0584798{col 52}{space 1} 2.43{col 61}{space 3}0.015{col 69}{space 4} .027646{col 82}{space 3} .2570576 {txt}{space 4}lag_pervote_lag_mip_par {c |}{col 29}{res}{space 2} .0017816{col 41}{space 2} .0006921{col 52}{space 1} 2.57{col 61}{space 3}0.010{col 69}{space 4} .0004239{col 82}{space 3} .0031392 {txt}{space 12}gov_lag_mip_par {c |}{col 29}{res}{space 2} -.038561{col 41}{space 2} .0145539{col 52}{space 1} -2.65{col 61}{space 3}0.008{col 69}{space 4}-.0671079{col 82}{space 3}-.0100141 {txt}{space 11}rile_lag_mip_par {c |}{col 29}{res}{space 2} .0017303{col 41}{space 2} .0004783{col 52}{space 1} 3.62{col 61}{space 3}0.000{col 69}{space 4} .0007922{col 82}{space 3} .0026684 {txt}{space 4}avg_sal_lag_lag_mip_par {c |}{col 29}{res}{space 2}-.0065746{col 41}{space 2} .0012089{col 52}{space 1} -5.44{col 61}{space 3}0.000{col 69}{space 4}-.0089458{col 82}{space 3}-.0042033 {txt}{space 10}avgdm_lag_mip_par {c |}{col 29}{res}{space 2}-.0001557{col 41}{space 2} .0001051{col 52}{space 1} -1.48{col 61}{space 3}0.139{col 69}{space 4}-.0003618{col 82}{space 3} .0000504 {txt}{space 11}days_lag_mip_par {c |}{col 29}{res}{space 2} -.000033{col 41}{space 2} .0000174{col 52}{space 1} -1.90{col 61}{space 3}0.058{col 69}{space 4}-.0000671{col 82}{space 3} 1.10e-06 {txt}{space 22}_cons {c |}{col 29}{res}{space 2} .5869904{col 41}{space 2} .2724418{col 52}{space 1} 2.15{col 61}{space 3}0.031{col 69}{space 4} .0526062{col 82}{space 3} 1.121375 {txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12} {res}{txt} {com}. . . . . . * =========== . * Figure 1 . * =========== . . . cd "C:\Users\ba9ze3-1\Dropbox\Dokumente\Papers\Party context paper\Paper # 3\Replication\" {res}C:\Users\ba9ze3-1\Dropbox\Dokumente\Papers\Party context paper\Paper # 3\Replication {txt} {com}. use "C:\Users\ba9ze3-1\Dropbox\Dokumente\Papers\Party context paper\Paper # 3\Replication\KlüverSpoon_BJPS_Data.dta", clear {txt}(Klüver/Spoon (BJPS): Who responds?) {com}. . . set more off {txt} {com}. . . * Model . regress attent lag_mip_all lag_pervote lag_pervote_lag_mip_all gov_lag_mip_all niche_party_lag_mip_all gov niche_party avg_sal_lag avgdm rile days lag_attent, vce (cluster party_issue) {txt}Linear regression Number of obs ={res} 4993 {txt}F( 12, 1676) ={res} 237.14 {txt}Prob > F = {res} 0.0000 {txt}R-squared = {res} 0.5855 {txt}Root MSE = {res} 4.7457 {txt}{ralign 89:(Std. Err. adjusted for {res:1677} clusters in party_issue)} {hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12} {col 25}{c |}{col 37} Robust {col 1} attent{col 25}{c |} Coef.{col 37} Std. Err.{col 49} t{col 57} P>|t|{col 65} [95% Con{col 78}f. Interval] {hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12} {space 12}lag_mip_all {c |}{col 25}{res}{space 2} .0357246{col 37}{space 2} .018083{col 48}{space 1} 1.98{col 57}{space 3}0.048{col 65}{space 4} .0002569{col 78}{space 3} .0711922 {txt}{space 12}lag_pervote {c |}{col 25}{res}{space 2}-.0092095{col 37}{space 2} .0063213{col 48}{space 1} -1.46{col 57}{space 3}0.145{col 65}{space 4} -.021608{col 78}{space 3} .003189 {txt}lag_pervote_lag_mip_all {c |}{col 25}{res}{space 2} .0016051{col 37}{space 2} .0006789{col 48}{space 1} 2.36{col 57}{space 3}0.018{col 65}{space 4} .0002735{col 78}{space 3} .0029366 {txt}{space 8}gov_lag_mip_all {c |}{col 25}{res}{space 2}-.0374579{col 37}{space 2} .0188823{col 48}{space 1} -1.98{col 57}{space 3}0.047{col 65}{space 4}-.0744932{col 78}{space 3}-.0004225 {txt}niche_party_lag_mip_all {c |}{col 25}{res}{space 2}-.0065743{col 37}{space 2} .0216025{col 48}{space 1} -0.30{col 57}{space 3}0.761{col 65}{space 4} -.048945{col 78}{space 3} .0357965 {txt}{space 20}gov {c |}{col 25}{res}{space 2} .3420598{col 37}{space 2} .1567523{col 48}{space 1} 2.18{col 57}{space 3}0.029{col 65}{space 4} .0346089{col 78}{space 3} .6495108 {txt}{space 12}niche_party {c |}{col 25}{res}{space 2}-.0193139{col 37}{space 2} .2181718{col 48}{space 1} -0.09{col 57}{space 3}0.929{col 65}{space 4}-.4472318{col 78}{space 3} .408604 {txt}{space 12}avg_sal_lag {c |}{col 25}{res}{space 2} .3938074{col 37}{space 2} .0408987{col 48}{space 1} 9.63{col 57}{space 3}0.000{col 65}{space 4} .3135895{col 78}{space 3} .4740252 {txt}{space 18}avgdm {c |}{col 25}{res}{space 2} .0005873{col 37}{space 2} .0011374{col 48}{space 1} 0.52{col 57}{space 3}0.606{col 65}{space 4}-.0016436{col 78}{space 3} .0028183 {txt}{space 19}rile {c |}{col 25}{res}{space 2} .007557{col 37}{space 2} .0044982{col 48}{space 1} 1.68{col 57}{space 3}0.093{col 65}{space 4}-.0012657{col 78}{space 3} .0163798 {txt}{space 19}days {c |}{col 25}{res}{space 2} .0001927{col 37}{space 2} .0001864{col 48}{space 1} 1.03{col 57}{space 3}0.301{col 65}{space 4}-.0001729{col 78}{space 3} .0005583 {txt}{space 13}lag_attent {c |}{col 25}{res}{space 2} .4318523{col 37}{space 2} .0474536{col 48}{space 1} 9.10{col 57}{space 3}0.000{col 65}{space 4} .3387777{col 78}{space 3} .5249269 {txt}{space 18}_cons {c |}{col 25}{res}{space 2} .7493844{col 37}{space 2} .2564942{col 48}{space 1} 2.92{col 57}{space 3}0.004{col 65}{space 4} .2463016{col 78}{space 3} 1.252467 {txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12} {res}{txt} {com}. . * Generate values for party size for which to calculate the marginal effects of voter issue attention . gen MV = _n {txt} {com}. replace MV=. if _n>30 {txt}(4963 real changes made, 4963 to missing) {com}. . . * Grab elements of the coefficients and variance-covariance matrix . matrix b=e(b) {txt} {com}. matrix V=e(V) {txt} {com}. . scalar b1=b[1,1] {txt} {com}. scalar b3=b[1,3] {txt} {com}. scalar b4=b[1,4] {txt} {com}. scalar b5=b[1,5] {txt} {com}. . . scalar varb1=V[1,1] {txt} {com}. scalar varb3=V[3,3] {txt} {com}. scalar varb4=V[4,4] {txt} {com}. scalar varb5=V[5,5] {txt} {com}. . . scalar covb1b3=V[1,3] {txt} {com}. scalar covb1b4=V[1,4] {txt} {com}. scalar covb1b5=V[1,5] {txt} {com}. . scalar list b1 b3 varb1 varb3 covb1b3 {txt} b1 = {res} .03572455 {txt} b3 = {res} .00160508 {txt} varb1 = {res} .00032699 {txt} varb3 = {res} 4.609e-07 {txt} covb1b3 = {res}-7.854e-06 {txt} {com}. . gen conbx = b1 + b3 * MV + b4*.3203845 + b5 * .1327593 if MV <= 30 {txt}(4963 missing values generated) {com}. gen consx = sqrt(varb1 + varb3*(MV^2) + 2*covb1b3*MV + varb4*(.3203845^2) + 2*covb1b4*.3203845 + varb5*(.1327593^2) + 2*covb1b5* .1327593) if MV <= 30 {txt}(4963 missing values generated) {com}. . . * Generate 90% confidence intervals . gen a = 1.645 *consx {txt}(4963 missing values generated) {com}. gen upper = conbx + a {txt}(4963 missing values generated) {com}. gen lower = conbx - a {txt}(4963 missing values generated) {com}. . . * Computing the graph . #delimit ; {txt}delimiter now ; {com}. graph twoway line conb MV, clwidth(medium) clcolor(blue) clcolor(black) > || line upper MV, clpattern(dash) clwidth(thin) clcolor(black) > || line lower MV, clpattern(dash) clwidth(thin) clcolor(black) > || , > > legend(col(1) order(1 2) size(vsmall) label(1 "Marginal effect of voter issue attention as party size varies") > label(2 "90% Confidence Interval")) > yline(0, lcolor(black)) > xtitle("Party size", size(3) ) > xsca(titlegap(2)) > ysca(titlegap(2)) > xscale(r(-.902 3.3298)) > ytitle("Marginal effect of voter issue attention at t-1", size(3)) > scheme(lean2) graphregion(fcolor(white)) ylabel(, nogrid) legend(position(6)); {txt}(note: scheme lean2 not found, using s2color) {res}{txt} {com}. #delimit cr {txt}delimiter now cr {com}. . . keep if MV ~= . {txt}(4963 observations deleted) {com}. keep MV-lower {txt} {com}. . saveold "figure1.dta", replace {txt}file figure1.dta saved {com}. . . . . * ========= . * Figure 2 . * ========= . . cd "C:\Users\ba9ze3-1\Dropbox\Dokumente\Papers\Party context paper\Paper # 3\Replication\" {res}C:\Users\ba9ze3-1\Dropbox\Dokumente\Papers\Party context paper\Paper # 3\Replication {txt} {com}. use "C:\Users\ba9ze3-1\Dropbox\Dokumente\Papers\Party context paper\Paper # 3\Replication\KlüverSpoon_BJPS_Data.dta", clear {txt}(Klüver/Spoon (BJPS): Who responds?) {com}. . . set more off {txt} {com}. . . * Model . regress attent lag_mip_all gov gov_lag_mip_all lag_pervote_lag_mip_all niche_party_lag_mip_all lag_pervote niche_party avg_sal_lag avgdm rile days lag_attent, vce (cluster party_issue) {txt}Linear regression Number of obs ={res} 4993 {txt}F( 12, 1676) ={res} 237.14 {txt}Prob > F = {res} 0.0000 {txt}R-squared = {res} 0.5855 {txt}Root MSE = {res} 4.7457 {txt}{ralign 89:(Std. Err. adjusted for {res:1677} clusters in party_issue)} {hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12} {col 25}{c |}{col 37} Robust {col 1} attent{col 25}{c |} Coef.{col 37} Std. Err.{col 49} t{col 57} P>|t|{col 65} [95% Con{col 78}f. Interval] {hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12} {space 12}lag_mip_all {c |}{col 25}{res}{space 2} .0357246{col 37}{space 2} .018083{col 48}{space 1} 1.98{col 57}{space 3}0.048{col 65}{space 4} .0002569{col 78}{space 3} .0711922 {txt}{space 20}gov {c |}{col 25}{res}{space 2} .3420598{col 37}{space 2} .1567523{col 48}{space 1} 2.18{col 57}{space 3}0.029{col 65}{space 4} .0346089{col 78}{space 3} .6495108 {txt}{space 8}gov_lag_mip_all {c |}{col 25}{res}{space 2}-.0374579{col 37}{space 2} .0188823{col 48}{space 1} -1.98{col 57}{space 3}0.047{col 65}{space 4}-.0744932{col 78}{space 3}-.0004225 {txt}lag_pervote_lag_mip_all {c |}{col 25}{res}{space 2} .0016051{col 37}{space 2} .0006789{col 48}{space 1} 2.36{col 57}{space 3}0.018{col 65}{space 4} .0002735{col 78}{space 3} .0029366 {txt}niche_party_lag_mip_all {c |}{col 25}{res}{space 2}-.0065743{col 37}{space 2} .0216025{col 48}{space 1} -0.30{col 57}{space 3}0.761{col 65}{space 4} -.048945{col 78}{space 3} .0357965 {txt}{space 12}lag_pervote {c |}{col 25}{res}{space 2}-.0092095{col 37}{space 2} .0063213{col 48}{space 1} -1.46{col 57}{space 3}0.145{col 65}{space 4} -.021608{col 78}{space 3} .003189 {txt}{space 12}niche_party {c |}{col 25}{res}{space 2}-.0193139{col 37}{space 2} .2181718{col 48}{space 1} -0.09{col 57}{space 3}0.929{col 65}{space 4}-.4472318{col 78}{space 3} .408604 {txt}{space 12}avg_sal_lag {c |}{col 25}{res}{space 2} .3938074{col 37}{space 2} .0408987{col 48}{space 1} 9.63{col 57}{space 3}0.000{col 65}{space 4} .3135895{col 78}{space 3} .4740252 {txt}{space 18}avgdm {c |}{col 25}{res}{space 2} .0005873{col 37}{space 2} .0011374{col 48}{space 1} 0.52{col 57}{space 3}0.606{col 65}{space 4}-.0016436{col 78}{space 3} .0028183 {txt}{space 19}rile {c |}{col 25}{res}{space 2} .007557{col 37}{space 2} .0044982{col 48}{space 1} 1.68{col 57}{space 3}0.093{col 65}{space 4}-.0012657{col 78}{space 3} .0163798 {txt}{space 19}days {c |}{col 25}{res}{space 2} .0001927{col 37}{space 2} .0001864{col 48}{space 1} 1.03{col 57}{space 3}0.301{col 65}{space 4}-.0001729{col 78}{space 3} .0005583 {txt}{space 13}lag_attent {c |}{col 25}{res}{space 2} .4318523{col 37}{space 2} .0474536{col 48}{space 1} 9.10{col 57}{space 3}0.000{col 65}{space 4} .3387777{col 78}{space 3} .5249269 {txt}{space 18}_cons {c |}{col 25}{res}{space 2} .7493844{col 37}{space 2} .2564942{col 48}{space 1} 2.92{col 57}{space 3}0.004{col 65}{space 4} .2463016{col 78}{space 3} 1.252467 {txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12} {res}{txt} {com}. . . * Grab elements of the coefficients and variance-covariance matrix . matrix b=e(b) {txt} {com}. matrix V=e(V) {txt} {com}. . scalar b1=b[1,1] {txt} {com}. scalar b3=b[1,3] {txt} {com}. scalar b4=b[1,4] {txt} {com}. scalar b5=b[1,5] {txt} {com}. . . scalar varb1=V[1,1] {txt} {com}. scalar varb3=V[3,3] {txt} {com}. scalar varb4=V[4,4] {txt} {com}. scalar varb5=V[5,5] {txt} {com}. . . scalar covb1b3=V[1,3] {txt} {com}. scalar covb1b4=V[1,4] {txt} {com}. scalar covb1b5=V[1,5] {txt} {com}. . . scalar list b1 b3 varb1 varb3 covb1b3 {txt} b1 = {res} .03572455 {txt} b3 = {res}-.03745787 {txt} varb1 = {res} .00032699 {txt} varb3 = {res} .00035654 {txt} covb1b3 = {res}-.00005056 {txt} {com}. . gen conbOpp = b1 + b3 * 0 + b4 * 13.71197 + b5 * .1327593 {txt} {com}. gen conbGov = b1 + b3 * 1 + b4 * 13.71197 + b5 * .1327593 {txt} {com}. . gen conseOpp = sqrt(varb1 + varb3*(0^2) + 2*covb1b3*0 + varb4*(13.71197 ^2) + 2*covb1b4 * 13.71197 + varb5*(.1327593^2) + 2*covb1b5* .1327593) {txt} {com}. gen conseGov = sqrt(varb1 + varb3*(1^2) + 2*covb1b3*1 + varb4*(13.71197 ^2) + 2*covb1b4 * 13.71197 + varb5*(.1327593^2) + 2*covb1b5* .1327593) {txt} {com}. . . * Generate predicted values and confidence intervals . gen aOpp = 1.645*conseOpp {txt} {com}. gen upperOpp = conbOpp + aOpp {txt} {com}. gen lowerOpp = conbOpp - aOpp {txt} {com}. . gen aGov = 1.645*conseGov {txt} {com}. gen upperGov = conbGov + aGov {txt} {com}. gen lowerGov = conbGov - aGov {txt} {com}. . . list conbOpp upperOpp lowerOpp if _n == 1 {txt} {c TLC}{hline 10}{c -}{hline 10}{c -}{hline 10}{c TRC} {c |} {res} conbOpp upperOpp lowerOpp {txt}{c |} {c LT}{hline 10}{c -}{hline 10}{c -}{hline 10}{c RT} 1. {c |} {res}.0568605 .0764014 .0373196 {txt}{c |} {c BLC}{hline 10}{c -}{hline 10}{c -}{hline 10}{c BRC} {com}. list conbGov upperGov lowerGov if _n == 1 {txt} {c TLC}{hline 10}{c -}{hline 10}{c -}{hline 11}{c TRC} {c |} {res} conbGov upperGov lowerGov {txt}{c |} {c LT}{hline 10}{c -}{hline 10}{c -}{hline 11}{c RT} 1. {c |} {res}.0194026 .0521596 -.0133543 {txt}{c |} {c BLC}{hline 10}{c -}{hline 10}{c -}{hline 11}{c BRC} {com}. . . . . . * ========== . * Figure 3 . * ========== . . cd "C:\Users\ba9ze3-1\Dropbox\Dokumente\Papers\Party context paper\Paper # 3\Replication\" {res}C:\Users\ba9ze3-1\Dropbox\Dokumente\Papers\Party context paper\Paper # 3\Replication {txt} {com}. use "C:\Users\ba9ze3-1\Dropbox\Dokumente\Papers\Party context paper\Paper # 3\Replication\KlüverSpoon_BJPS_Data.dta", clear {txt}(Klüver/Spoon (BJPS): Who responds?) {com}. . . regress attent lag_attent lag_mip_par lag_pervote gov rile avg_sal_lag avgdm days /// > green env_issue green_env env_issue_lag_mip_par green_lag_mip_par green_env_issue_lag_mip_par, vce (cluster party_issue) {txt}Linear regression Number of obs ={res} 4889 {txt}F( 14, 1585) ={res} 212.57 {txt}Prob > F = {res} 0.0000 {txt}R-squared = {res} 0.5844 {txt}Root MSE = {res} 4.767 {txt}{ralign 93:(Std. Err. adjusted for {res:1586} clusters in party_issue)} {hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12} {col 29}{c |}{col 41} Robust {col 1} attent{col 29}{c |} Coef.{col 41} Std. Err.{col 53} t{col 61} P>|t|{col 69} [95% Con{col 82}f. Interval] {hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12} {space 17}lag_attent {c |}{col 29}{res}{space 2} .4099027{col 41}{space 2} .0504238{col 52}{space 1} 8.13{col 61}{space 3}0.000{col 69}{space 4} .3109984{col 82}{space 3} .5088071 {txt}{space 16}lag_mip_par {c |}{col 29}{res}{space 2} .0440186{col 41}{space 2} .011901{col 52}{space 1} 3.70{col 61}{space 3}0.000{col 69}{space 4} .0206753{col 82}{space 3} .0673618 {txt}{space 16}lag_pervote {c |}{col 29}{res}{space 2}-.0012733{col 41}{space 2} .0065779{col 52}{space 1} -0.19{col 61}{space 3}0.847{col 69}{space 4}-.0141756{col 82}{space 3} .0116289 {txt}{space 24}gov {c |}{col 29}{res}{space 2} .1238771{col 41}{space 2} .1606856{col 52}{space 1} 0.77{col 61}{space 3}0.441{col 69}{space 4}-.1913016{col 82}{space 3} .4390557 {txt}{space 23}rile {c |}{col 29}{res}{space 2} .0079941{col 41}{space 2} .0046764{col 52}{space 1} 1.71{col 61}{space 3}0.088{col 69}{space 4}-.0011785{col 82}{space 3} .0171667 {txt}{space 16}avg_sal_lag {c |}{col 29}{res}{space 2} .4257888{col 41}{space 2} .0430783{col 52}{space 1} 9.88{col 61}{space 3}0.000{col 69}{space 4} .3412924{col 82}{space 3} .5102853 {txt}{space 22}avgdm {c |}{col 29}{res}{space 2} .000976{col 41}{space 2} .0011327{col 52}{space 1} 0.86{col 61}{space 3}0.389{col 69}{space 4}-.0012458{col 82}{space 3} .0031977 {txt}{space 23}days {c |}{col 29}{res}{space 2} .0001664{col 41}{space 2} .0001931{col 52}{space 1} 0.86{col 61}{space 3}0.389{col 69}{space 4}-.0002123{col 82}{space 3} .000545 {txt}{space 22}green {c |}{col 29}{res}{space 2}-.1599357{col 41}{space 2} .2476261{col 52}{space 1} -0.65{col 61}{space 3}0.518{col 69}{space 4}-.6456449{col 82}{space 3} .3257734 {txt}{space 18}env_issue {c |}{col 29}{res}{space 2} -.358536{col 41}{space 2} .2753136{col 52}{space 1} -1.30{col 61}{space 3}0.193{col 69}{space 4}-.8985532{col 82}{space 3} .1814811 {txt}{space 18}green_env {c |}{col 29}{res}{space 2} 2.814558{col 41}{space 2} 1.663342{col 52}{space 1} 1.69{col 61}{space 3}0.091{col 69}{space 4}-.4480232{col 82}{space 3} 6.077139 {txt}{space 6}env_issue_lag_mip_par {c |}{col 29}{res}{space 2}-.0424874{col 41}{space 2} .0372808{col 52}{space 1} -1.14{col 61}{space 3}0.255{col 69}{space 4}-.1156123{col 82}{space 3} .0306375 {txt}{space 10}green_lag_mip_par {c |}{col 29}{res}{space 2} -.028328{col 41}{space 2} .0233227{col 52}{space 1} -1.21{col 61}{space 3}0.225{col 69}{space 4}-.0740746{col 82}{space 3} .0174187 {txt}green_env_issue_lag_mip_par {c |}{col 29}{res}{space 2} .142103{col 41}{space 2} .0552075{col 52}{space 1} 2.57{col 61}{space 3}0.010{col 69}{space 4} .0338157{col 82}{space 3} .2503904 {txt}{space 22}_cons {c |}{col 29}{res}{space 2} .755168{col 41}{space 2} .2679152{col 52}{space 1} 2.82{col 61}{space 3}0.005{col 69}{space 4} .2296625{col 82}{space 3} 1.280673 {txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12} {res}{txt} {com}. . . matrix V=e(V) {txt} {com}. svmat V, names(vvector) {txt} {com}. outsheet vvector* using figure3_vvector.csv, comma replace {txt} {com}. . matrix b=e(b) {txt} {com}. svmat b, names(fixeff) {txt} {com}. outsheet fixeff* using figure3_fixeff.csv, comma replace {txt} {com}. . . drop if e(sample) == 0 {txt}(104 observations deleted) {com}. . . keep attent lag_attent lag_mip_par lag_pervote gov rile avg_sal_lag avgdm days /// > green env_issue green_env env_issue_lag_mip_par green_lag_mip_par green_env_issue_lag_mip_par {txt} {com}. . . saveold figure3.dta, replace {txt}file figure3.dta saved {com}. . . . . . . . * ========== . * Table A.1 . * ========== . . clear {txt} {com}. cd "C:\Users\ba9ze3-1\Dropbox\Dokumente\Papers\Party context paper\Paper # 3\Replication\" {res}C:\Users\ba9ze3-1\Dropbox\Dokumente\Papers\Party context paper\Paper # 3\Replication {txt} {com}. use "C:\Users\ba9ze3-1\Dropbox\Dokumente\Papers\Party context paper\Paper # 3\Replication\KlüverSpoon_BJPS_Data.dta", clear {txt}(Klüver/Spoon (BJPS): Who responds?) {com}. . . sum attent lag_attent lag_mip_all lag_mip_par lag_pervote gov niche_party rile avg_sal_lag avgdm days green env_issue {txt} Variable {c |} Obs Mean Std. Dev. Min Max {hline 13}{c +}{hline 56} {space 6}attent {c |}{res} 4993 6.611627 7.362629 0 72 {txt}{space 2}lag_attent {c |}{res} 4993 6.521215 7.389899 0 65.9 {txt}{space 1}lag_mip_all {c |}{res} 4993 6.077953 14.1552 0 89.8 {txt}{space 1}lag_mip_par {c |}{res} 4889 4.912628 13.70031 0 97.74 {txt}{space 1}lag_pervote {c |}{res} 4993 13.71106 12.21335 0 46.39565 {txt}{hline 13}{c +}{hline 56} {space 9}gov {c |}{res} 4993 .3204486 .4666958 0 1 {txt}{space 1}niche_party {c |}{res} 4993 .1327859 .3393772 0 1 {txt}{space 8}rile {c |}{res} 4993 -3.265195 21.78446 -51.4 59.8 {txt}{space 1}avg_sal_lag {c |}{res} 4993 6.517569 5.939027 0 28.97273 {txt}{space 7}avgdm {c |}{res} 4993 32.74857 53.19913 0 150 {txt}{hline 13}{c +}{hline 56} {space 8}days {c |}{res} 4993 1199.603 412.8102 245 1848 {txt}{space 7}green {c |}{res} 4993 .0650911 .2467113 0 1 {txt}{space 3}env_issue {c |}{res} 4993 .0773082 .2671066 0 1 {txt} {com}. . . . . . * ========== . * Table A.2 . * ========== . . clear {txt} {com}. cd "C:\Users\ba9ze3-1\Dropbox\Dokumente\Papers\Party context paper\Paper # 3\Replication\" {res}C:\Users\ba9ze3-1\Dropbox\Dokumente\Papers\Party context paper\Paper # 3\Replication {txt} {com}. use "C:\Users\ba9ze3-1\Dropbox\Dokumente\Papers\Party context paper\Paper # 3\Replication\KlüverSpoon_BJPS_Data.dta", clear {txt}(Klüver/Spoon (BJPS): Who responds?) {com}. . . . * Model 8 . regress attent lag_attent lag_mip_par lag_pervote gov niche_party rile avg_sal_lag avgdm days, vce (cluster party_issue) {txt}Linear regression Number of obs ={res} 4889 {txt}F( 9, 1585) ={res} 301.83 {txt}Prob > F = {res} 0.0000 {txt}R-squared = {res} 0.5823 {txt}Root MSE = {res} 4.7767 {txt}{ralign 78:(Std. Err. adjusted for {res:1586} clusters in party_issue)} {hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12} {col 14}{c |}{col 26} Robust {col 1} attent{col 14}{c |} Coef.{col 26} Std. Err.{col 38} t{col 46} P>|t|{col 54} [95% Con{col 67}f. Interval] {hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12} {space 2}lag_attent {c |}{col 14}{res}{space 2} .4258733{col 26}{space 2} .0482135{col 37}{space 1} 8.83{col 46}{space 3}0.000{col 54}{space 4} .3313044{col 67}{space 3} .5204422 {txt}{space 1}lag_mip_par {c |}{col 14}{res}{space 2} .0444087{col 26}{space 2} .0112768{col 37}{space 1} 3.94{col 46}{space 3}0.000{col 54}{space 4} .0222897{col 67}{space 3} .0665277 {txt}{space 1}lag_pervote {c |}{col 14}{res}{space 2}-.0021584{col 26}{space 2} .0067538{col 37}{space 1} -0.32{col 46}{space 3}0.749{col 54}{space 4}-.0154058{col 67}{space 3} .0110889 {txt}{space 9}gov {c |}{col 14}{res}{space 2} .1127761{col 26}{space 2} .1607252{col 37}{space 1} 0.70{col 46}{space 3}0.483{col 54}{space 4}-.2024803{col 67}{space 3} .4280325 {txt}{space 1}niche_party {c |}{col 14}{res}{space 2}-.0580749{col 26}{space 2} .2225664{col 37}{space 1} -0.26{col 46}{space 3}0.794{col 54}{space 4}-.4946304{col 67}{space 3} .3784806 {txt}{space 8}rile {c |}{col 14}{res}{space 2} .0077981{col 26}{space 2} .0046059{col 37}{space 1} 1.69{col 46}{space 3}0.091{col 54}{space 4}-.0012362{col 67}{space 3} .0168325 {txt}{space 1}avg_sal_lag {c |}{col 14}{res}{space 2} .409341{col 26}{space 2} .0418027{col 37}{space 1} 9.79{col 46}{space 3}0.000{col 54}{space 4} .3273465{col 67}{space 3} .4913354 {txt}{space 7}avgdm {c |}{col 14}{res}{space 2} .0008705{col 26}{space 2} .0011289{col 37}{space 1} 0.77{col 46}{space 3}0.441{col 54}{space 4}-.0013439{col 67}{space 3} .0030848 {txt}{space 8}days {c |}{col 14}{res}{space 2} .0001799{col 26}{space 2} .0001915{col 37}{space 1} 0.94{col 46}{space 3}0.348{col 54}{space 4}-.0001958{col 67}{space 3} .0005556 {txt}{space 7}_cons {c |}{col 14}{res}{space 2} .7284473{col 26}{space 2} .2658075{col 37}{space 1} 2.74{col 46}{space 3}0.006{col 54}{space 4} .207076{col 67}{space 3} 1.249819 {txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12} {res}{txt} {com}. . * Model 9 . regress attent lag_attent lag_mip_par lag_pervote gov niche_party rile avg_sal_lag avgdm days lag_pervote_lag_mip_par gov_lag_mip_par niche_party_lag_mip_par, vce (cluster party_issue) {txt}Linear regression Number of obs ={res} 4889 {txt}F( 12, 1585) ={res} 226.94 {txt}Prob > F = {res} 0.0000 {txt}R-squared = {res} 0.5838 {txt}Root MSE = {res} 4.7698 {txt}{ralign 89:(Std. Err. adjusted for {res:1586} clusters in party_issue)} {hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12} {col 25}{c |}{col 37} Robust {col 1} attent{col 25}{c |} Coef.{col 37} Std. Err.{col 49} t{col 57} P>|t|{col 65} [95% Con{col 78}f. Interval] {hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12} {space 13}lag_attent {c |}{col 25}{res}{space 2} .4219632{col 37}{space 2} .0485717{col 48}{space 1} 8.69{col 57}{space 3}0.000{col 65}{space 4} .3266916{col 78}{space 3} .5172347 {txt}{space 12}lag_mip_par {c |}{col 25}{res}{space 2} .0281106{col 37}{space 2} .0177089{col 48}{space 1} 1.59{col 57}{space 3}0.113{col 65}{space 4}-.0066248{col 78}{space 3} .062846 {txt}{space 12}lag_pervote {c |}{col 25}{res}{space 2}-.0110673{col 37}{space 2} .0060918{col 48}{space 1} -1.82{col 57}{space 3}0.069{col 65}{space 4}-.0230161{col 78}{space 3} .0008815 {txt}{space 20}gov {c |}{col 25}{res}{space 2} .2820245{col 37}{space 2} .1548289{col 48}{space 1} 1.82{col 57}{space 3}0.069{col 65}{space 4}-.0216664{col 78}{space 3} .5857154 {txt}{space 12}niche_party {c |}{col 25}{res}{space 2}-.1169665{col 37}{space 2} .2201963{col 48}{space 1} -0.53{col 57}{space 3}0.595{col 65}{space 4}-.5488731{col 78}{space 3} .3149402 {txt}{space 19}rile {c |}{col 25}{res}{space 2} .0079512{col 37}{space 2} .0045884{col 48}{space 1} 1.73{col 57}{space 3}0.083{col 65}{space 4}-.0010488{col 78}{space 3} .0169511 {txt}{space 12}avg_sal_lag {c |}{col 25}{res}{space 2} .4132596{col 37}{space 2} .0420257{col 48}{space 1} 9.83{col 57}{space 3}0.000{col 65}{space 4} .3308278{col 78}{space 3} .4956915 {txt}{space 18}avgdm {c |}{col 25}{res}{space 2} .0007882{col 37}{space 2} .0011346{col 48}{space 1} 0.69{col 57}{space 3}0.487{col 65}{space 4}-.0014373{col 78}{space 3} .0030136 {txt}{space 19}days {c |}{col 25}{res}{space 2} .0001681{col 37}{space 2} .0001913{col 48}{space 1} 0.88{col 57}{space 3}0.380{col 65}{space 4} -.000207{col 78}{space 3} .0005432 {txt}lag_pervote_lag_mip_par {c |}{col 25}{res}{space 2} .0017814{col 37}{space 2} .0006538{col 48}{space 1} 2.72{col 57}{space 3}0.007{col 65}{space 4} .000499{col 78}{space 3} .0030639 {txt}{space 8}gov_lag_mip_par {c |}{col 25}{res}{space 2}-.0338182{col 37}{space 2} .0163591{col 48}{space 1} -2.07{col 57}{space 3}0.039{col 65}{space 4}-.0659059{col 78}{space 3}-.0017305 {txt}niche_party_lag_mip_par {c |}{col 25}{res}{space 2} .0138134{col 37}{space 2} .0306115{col 48}{space 1} 0.45{col 57}{space 3}0.652{col 65}{space 4} -.04623{col 78}{space 3} .0738567 {txt}{space 18}_cons {c |}{col 25}{res}{space 2} .8158441{col 37}{space 2} .2600308{col 48}{space 1} 3.14{col 57}{space 3}0.002{col 65}{space 4} .3058035{col 78}{space 3} 1.325885 {txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12} {res}{txt} {com}. . * Model 10 . regress attent lag_attent lag_mip_par lag_pervote gov niche_party rile avg_sal_lag avgdm days /// > lag_pervote_lag_mip_par gov_lag_mip_par niche_party_lag_mip_par rile_lag_mip_par avg_sal_lag_lag_mip_par avgdm_lag_mip_par days_lag_mip_par, vce (cluster party_issue) {txt}Linear regression Number of obs ={res} 4889 {txt}F( 16, 1585) ={res} 207.31 {txt}Prob > F = {res} 0.0000 {txt}R-squared = {res} 0.5944 {txt}Root MSE = {res} 4.7106 {txt}{ralign 89:(Std. Err. adjusted for {res:1586} clusters in party_issue)} {hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12} {col 25}{c |}{col 37} Robust {col 1} attent{col 25}{c |} Coef.{col 37} Std. Err.{col 49} t{col 57} P>|t|{col 65} [95% Con{col 78}f. Interval] {hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12} {space 13}lag_attent {c |}{col 25}{res}{space 2} .4079729{col 37}{space 2} .0498289{col 48}{space 1} 8.19{col 57}{space 3}0.000{col 65}{space 4} .3102354{col 78}{space 3} .5057104 {txt}{space 12}lag_mip_par {c |}{col 25}{res}{space 2} .182893{col 37}{space 2} .0404283{col 48}{space 1} 4.52{col 57}{space 3}0.000{col 65}{space 4} .1035943{col 78}{space 3} .2621917 {txt}{space 12}lag_pervote {c |}{col 25}{res}{space 2}-.0111953{col 37}{space 2} .0062696{col 48}{space 1} -1.79{col 57}{space 3}0.074{col 65}{space 4}-.0234929{col 78}{space 3} .0011022 {txt}{space 20}gov {c |}{col 25}{res}{space 2} .2910805{col 37}{space 2} .1549188{col 48}{space 1} 1.88{col 57}{space 3}0.060{col 65}{space 4}-.0127867{col 78}{space 3} .5949478 {txt}{space 12}niche_party {c |}{col 25}{res}{space 2}-.1735893{col 37}{space 2} .2214643{col 48}{space 1} -0.78{col 57}{space 3}0.433{col 65}{space 4} -.607983{col 78}{space 3} .2608044 {txt}{space 19}rile {c |}{col 25}{res}{space 2}-.0000856{col 37}{space 2} .0040356{col 48}{space 1} -0.02{col 57}{space 3}0.983{col 65}{space 4}-.0080013{col 78}{space 3} .0078302 {txt}{space 12}avg_sal_lag {c |}{col 25}{res}{space 2} .4586523{col 37}{space 2} .0435717{col 48}{space 1} 10.53{col 57}{space 3}0.000{col 65}{space 4} .373188{col 78}{space 3} .5441166 {txt}{space 18}avgdm {c |}{col 25}{res}{space 2} .0006999{col 37}{space 2} .0010475{col 48}{space 1} 0.67{col 57}{space 3}0.504{col 65}{space 4}-.0013547{col 78}{space 3} .0027546 {txt}{space 19}days {c |}{col 25}{res}{space 2} .0001759{col 37}{space 2} .0001997{col 48}{space 1} 0.88{col 57}{space 3}0.379{col 65}{space 4}-.0002158{col 78}{space 3} .0005676 {txt}lag_pervote_lag_mip_par {c |}{col 25}{res}{space 2} .0015957{col 37}{space 2} .0006968{col 48}{space 1} 2.29{col 57}{space 3}0.022{col 65}{space 4} .000229{col 78}{space 3} .0029624 {txt}{space 8}gov_lag_mip_par {c |}{col 25}{res}{space 2}-.0420455{col 37}{space 2} .014592{col 48}{space 1} -2.88{col 57}{space 3}0.004{col 65}{space 4}-.0706671{col 78}{space 3}-.0134239 {txt}niche_party_lag_mip_par {c |}{col 25}{res}{space 2} .0054932{col 37}{space 2} .0345377{col 48}{space 1} 0.16{col 57}{space 3}0.874{col 65}{space 4}-.0622511{col 78}{space 3} .0732375 {txt}{space 7}rile_lag_mip_par {c |}{col 25}{res}{space 2} .0016503{col 37}{space 2} .0004705{col 48}{space 1} 3.51{col 57}{space 3}0.000{col 65}{space 4} .0007274{col 78}{space 3} .0025732 {txt}avg_sal_lag_lag_mip_par {c |}{col 25}{res}{space 2}-.0064821{col 37}{space 2} .0012204{col 48}{space 1} -5.31{col 57}{space 3}0.000{col 65}{space 4}-.0088759{col 78}{space 3}-.0040883 {txt}{space 6}avgdm_lag_mip_par {c |}{col 25}{res}{space 2}-.0001657{col 37}{space 2} .0001039{col 48}{space 1} -1.59{col 57}{space 3}0.111{col 65}{space 4}-.0003696{col 78}{space 3} .0000382 {txt}{space 7}days_lag_mip_par {c |}{col 25}{res}{space 2}-.0000305{col 37}{space 2} .0000178{col 48}{space 1} -1.71{col 57}{space 3}0.087{col 65}{space 4}-.0000655{col 78}{space 3} 4.48e-06 {txt}{space 18}_cons {c |}{col 25}{res}{space 2} .5460019{col 37}{space 2} .2700977{col 48}{space 1} 2.02{col 57}{space 3}0.043{col 65}{space 4} .0162156{col 78}{space 3} 1.075788 {txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12} {res}{txt} {com}. . . . log close {txt}name: {res} {txt}log: {res}C:\Users\ba9ze3-1\Dropbox\Dokumente\Papers\Party context paper\Paper # 3\Replication\KlüverSpoon_BJPS_LogFile.smcl {txt}log type: {res}smcl {txt}closed on: {res}27 May 2014, 21:07:03 {txt}{.-} {smcl} {txt}{sf}{ul off}