{smcl} {com}{sf}{ul off}{txt}{.-} log: {res}P:\LSE H drive\Kelly Paper\Strike Outcomes\R&R CP\CPOutputWebsiteMarch102013.smcl {txt}log type: {res}smcl {txt}opened on: {res}11 Mar 2013, 14:34:24 {com}. **table 2 results . **Model 1 . logit newoutcome leftcabnet rightcabnet unemployment realgdpgrowth debttogdp welfare wages labourlaw economicpolicy trend, cluster(ctrycode) {txt}Iteration 0: log pseudolikelihood = {res}-50.853661 {txt}Iteration 1: log pseudolikelihood = {res} -30.48483 {txt}Iteration 2: log pseudolikelihood = {res}-27.076409 {txt}Iteration 3: log pseudolikelihood = {res}-26.254035 {txt}Iteration 4: log pseudolikelihood = {res}-26.169842 {txt}Iteration 5: log pseudolikelihood = {res}-26.168545 {txt}Iteration 6: log pseudolikelihood = {res}-26.168544 {txt}Logistic regression Number of obs = {res} 75 {txt}{help j_robustsingular:Wald chi2(9)} = {res} . {txt}Prob > chi2 = {res} . {txt}Log pseudolikelihood = {res}-26.168544 {txt}Pseudo R2 = {res} 0.4854 {txt}(Std. Err. adjusted for {res}11{txt} clusters in ctrycode) {hline 13}{c TT}{hline 64} {c |} Robust newoutcome {c |} Coef. Std. Err. z P>|z| [95% Conf. Interval] {hline 13}{c +}{hline 64} leftcabnet {c |} {res}-.0800727 .0241256 -3.32 0.001 -.1273581 -.0327873 {txt}rightcabnet {c |} {res}-.0572948 .0172954 -3.31 0.001 -.0911931 -.0233964 {txt}unemployment {c |} {res} .0347856 .1042554 0.33 0.739 -.1695513 .2391225 {txt}realgdpgro~h {c |} {res}-.3859618 .1775191 -2.17 0.030 -.7338927 -.0380308 {txt}debttogdp {c |} {res}-.0242931 .0115367 -2.11 0.035 -.0469046 -.0016816 {txt}welfare {c |} {res}-.1856958 .8461951 -0.22 0.826 -1.844208 1.472816 {txt}wages {c |} {res}-2.947915 1.835634 -1.61 0.108 -6.545691 .6498614 {txt}labourlaw {c |} {res}-2.145583 .8506968 -2.52 0.012 -3.812918 -.4782482 {txt}economicpo~y {c |} {res}-3.201211 .9971927 -3.21 0.001 -5.155673 -1.246749 {txt}trend {c |} {res} .0783443 .0751551 1.04 0.297 -.068957 .2256455 {txt}_cons {c |} {res} 7.631575 2.730092 2.80 0.005 2.280693 12.98246 {txt}{hline 13}{c BT}{hline 64} {com}. **Model 2 . logit newoutcome leftcabnet rightcabnet unemployment realgdpgrowth debttogdp welfare wages labourlaw economicpolicy trend if ctrycode !=7, cluster(ctrycode) {txt}Iteration 0: log pseudolikelihood = {res}-30.789086 {txt}Iteration 1: log pseudolikelihood = {res}-19.438313 {txt}Iteration 2: log pseudolikelihood = {res}-17.257881 {txt}Iteration 3: log pseudolikelihood = {res}-15.993609 {txt}Iteration 4: log pseudolikelihood = {res}-15.330998 {txt}Iteration 5: log pseudolikelihood = {res}-15.232309 {txt}Iteration 6: log pseudolikelihood = {res}-15.228705 {txt}Iteration 7: log pseudolikelihood = {res}-15.228696 {txt}Logistic regression Number of obs = {res} 46 {txt}{help j_robustsingular:Wald chi2(7)} = {res} . {txt}Prob > chi2 = {res} . {txt}Log pseudolikelihood = {res}-15.228696 {txt}Pseudo R2 = {res} 0.5054 {txt}(Std. Err. adjusted for {res}10{txt} clusters in ctrycode) {hline 13}{c TT}{hline 64} {c |} Robust newoutcome {c |} Coef. Std. Err. z P>|z| [95% Conf. Interval] {hline 13}{c +}{hline 64} leftcabnet {c |} {res}-.2192265 .0964674 -2.27 0.023 -.4082991 -.0301539 {txt}rightcabnet {c |} {res}-.1380164 .0663465 -2.08 0.038 -.268053 -.0079797 {txt}unemployment {c |} {res} .4741734 .3514429 1.35 0.177 -.214642 1.162989 {txt}realgdpgro~h {c |} {res}-1.080222 .5723702 -1.89 0.059 -2.202047 .0416029 {txt}debttogdp {c |} {res}-.0589092 .036822 -1.60 0.110 -.131079 .0132606 {txt}welfare {c |} {res}-1.360587 1.591719 -0.85 0.393 -4.480299 1.759124 {txt}wages {c |} {res}-7.554555 2.710511 -2.79 0.005 -12.86706 -2.242052 {txt}labourlaw {c |} {res}-3.698664 1.926268 -1.92 0.055 -7.47408 .0767525 {txt}economicpo~y {c |} {res}-7.027944 2.994156 -2.35 0.019 -12.89638 -1.159507 {txt}trend {c |} {res} .0893467 .1776638 0.50 0.615 -.2588678 .4375613 {txt}_cons {c |} {res} 16.45684 5.938413 2.77 0.006 4.817764 28.09592 {txt}{hline 13}{c BT}{hline 64} Note: 0 failures and 1 success completely determined. {com}. **model 3 . logit newoutcome coalitiongovyn3 unemployment realgdpgrowth debttogdp welfare wages labourlaw economicpolicy trend, cluster(ctrycode) {txt}Iteration 0: log pseudolikelihood = {res}-50.853661 {txt}Iteration 1: log pseudolikelihood = {res}-32.227921 {txt}Iteration 2: log pseudolikelihood = {res}-30.423214 {txt}Iteration 3: log pseudolikelihood = {res}-30.270963 {txt}Iteration 4: log pseudolikelihood = {res}-30.269068 {txt}Iteration 5: log pseudolikelihood = {res}-30.269067 {txt}Logistic regression Number of obs = {res} 75 {txt}Wald chi2({res}9{txt}) = {res} 577.01 {txt}Prob > chi2 = {res} 0.0000 {txt}Log pseudolikelihood = {res}-30.269067 {txt}Pseudo R2 = {res} 0.4048 {txt}(Std. Err. adjusted for {res}11{txt} clusters in ctrycode) {hline 13}{c TT}{hline 64} {c |} Robust newoutcome {c |} Coef. Std. Err. z P>|z| [95% Conf. Interval] {hline 13}{c +}{hline 64} coalitiong~3 {c |} {res} 2.532102 .4864462 5.21 0.000 1.578685 3.485519 {txt}unemployment {c |} {res}-.0578313 .0902324 -0.64 0.522 -.2346836 .119021 {txt}realgdpgro~h {c |} {res}-.1251845 .1707843 -0.73 0.464 -.4599155 .2095464 {txt}debttogdp {c |} {res}-.0177154 .0107795 -1.64 0.100 -.0388428 .0034119 {txt}welfare {c |} {res}-.4708351 .7383492 -0.64 0.524 -1.917973 .9763027 {txt}wages {c |} {res}-2.355656 .9191216 -2.56 0.010 -4.157101 -.5542107 {txt}labourlaw {c |} {res}-1.626033 .8802667 -1.85 0.065 -3.351324 .099258 {txt}economicpo~y {c |} {res}-2.553173 .6847657 -3.73 0.000 -3.89529 -1.211057 {txt}trend {c |} {res} .0450533 .0646092 0.70 0.486 -.0815785 .1716851 {txt}_cons {c |} {res} 1.368214 1.142339 1.20 0.231 -.8707294 3.607157 {txt}{hline 13}{c BT}{hline 64} {com}. **model 4 . logit newoutcome coalitiongovyn3 unemployment realgdpgrowth debttogdp welfare wages labourlaw economicpolicy trend if ctrycode !=7, cluster(ctrycode) {txt}Iteration 0: log pseudolikelihood = {res}-30.789086 {txt}Iteration 1: log pseudolikelihood = {res}-21.743851 {txt}Iteration 2: log pseudolikelihood = {res}-21.031507 {txt}Iteration 3: log pseudolikelihood = {res} -20.98368 {txt}Iteration 4: log pseudolikelihood = {res}-20.983327 {txt}Iteration 5: log pseudolikelihood = {res}-20.983327 {txt}Logistic regression Number of obs = {res} 46 {txt}{help j_robustsingular:Wald chi2(8)} = {res} . {txt}Prob > chi2 = {res} . {txt}Log pseudolikelihood = {res}-20.983327 {txt}Pseudo R2 = {res} 0.3185 {txt}(Std. Err. adjusted for {res}10{txt} clusters in ctrycode) {hline 13}{c TT}{hline 64} {c |} Robust newoutcome {c |} Coef. Std. Err. z P>|z| [95% Conf. Interval] {hline 13}{c +}{hline 64} coalitiong~3 {c |} {res} 2.830156 1.115288 2.54 0.011 .6442312 5.016081 {txt}unemployment {c |} {res} -.037946 .1193411 -0.32 0.751 -.2718504 .1959584 {txt}realgdpgro~h {c |} {res} .0348921 .1597651 0.22 0.827 -.2782417 .3480259 {txt}debttogdp {c |} {res}-.0182307 .0111695 -1.63 0.103 -.0401225 .0036611 {txt}welfare {c |} {res}-.5865672 .8522112 -0.69 0.491 -2.25687 1.083736 {txt}wages {c |} {res}-2.861138 1.118192 -2.56 0.011 -5.052753 -.669522 {txt}labourlaw {c |} {res}-1.813101 .9250866 -1.96 0.050 -3.626237 .0000358 {txt}economicpo~y {c |} {res}-2.866343 1.010178 -2.84 0.005 -4.846255 -.8864315 {txt}trend {c |} {res} .0481241 .0766234 0.63 0.530 -.1020549 .1983032 {txt}_cons {c |} {res} .9979745 2.232487 0.45 0.655 -3.37762 5.373569 {txt}{hline 13}{c BT}{hline 64} {com}. **TABLE 3 . **Model 1 . logit newoutcome leftcabnet rightcabnet unemployment realgdpgrowth debttogdp welfare wages labourlaw economicpolicy trend unionunity tudensitymain, cluster(ctrycode) {txt}Iteration 0: log pseudolikelihood = {res}-46.179813 {txt}Iteration 1: log pseudolikelihood = {res}-25.300636 {txt}Iteration 2: log pseudolikelihood = {res}-21.237637 {txt}Iteration 3: log pseudolikelihood = {res}-19.857414 {txt}Iteration 4: log pseudolikelihood = {res}-19.525491 {txt}Iteration 5: log pseudolikelihood = {res}-19.495131 {txt}Iteration 6: log pseudolikelihood = {res}-19.494771 {txt}Iteration 7: log pseudolikelihood = {res}-19.494771 {txt}Logistic regression Number of obs = {res} 70 {txt}{help j_robustsingular:Wald chi2(8)} = {res} . {txt}Prob > chi2 = {res} . {txt}Log pseudolikelihood = {res}-19.494771 {txt}Pseudo R2 = {res} 0.5779 {txt}(Std. Err. adjusted for {res}10{txt} clusters in ctrycode) {hline 13}{c TT}{hline 64} {c |} Robust newoutcome {c |} Coef. Std. Err. z P>|z| [95% Conf. Interval] {hline 13}{c +}{hline 64} leftcabnet {c |} {res}-.1031175 .0578271 -1.78 0.075 -.2164566 .0102216 {txt}rightcabnet {c |} {res}-.0837442 .0493428 -1.70 0.090 -.1804544 .012966 {txt}unemployment {c |} {res}-.0704811 .1544243 -0.46 0.648 -.3731471 .2321849 {txt}realgdpgro~h {c |} {res}-.4423313 .3045453 -1.45 0.146 -1.039229 .1545664 {txt}debttogdp {c |} {res}-.0369779 .015867 -2.33 0.020 -.0680765 -.0058792 {txt}welfare {c |} {res} 1.157605 1.014861 1.14 0.254 -.8314848 3.146696 {txt}wages {c |} {res}-1.875533 2.061948 -0.91 0.363 -5.916877 2.165811 {txt}labourlaw {c |} {res}-2.638937 1.871184 -1.41 0.158 -6.306391 1.028516 {txt}economicpo~y {c |} {res} -4.46547 1.435285 -3.11 0.002 -7.278577 -1.652364 {txt}trend {c |} {res} .1671237 .1803424 0.93 0.354 -.186341 .5205883 {txt}unionunity {c |} {res} 2.26182 .7977812 2.84 0.005 .6981972 3.825442 {txt}tudensitym~n {c |} {res}-.0048227 .0193827 -0.25 0.804 -.0428122 .0331668 {txt}_cons {c |} {res} 8.243838 3.555669 2.32 0.020 1.274856 15.21282 {txt}{hline 13}{c BT}{hline 64} {com}. **Model 2 . logit newoutcome coalitiongovyn3 unemployment realgdpgrowth debttogdp welfare wages labourlaw economicpolicy trend unionunity tudensitymain, cluster(ctrycode) {txt}Iteration 0: log pseudolikelihood = {res}-46.179813 {txt}Iteration 1: log pseudolikelihood = {res}-26.259379 {txt}Iteration 2: log pseudolikelihood = {res} -23.11554 {txt}Iteration 3: log pseudolikelihood = {res}-22.487893 {txt}Iteration 4: log pseudolikelihood = {res}-22.442817 {txt}Iteration 5: log pseudolikelihood = {res}-22.442453 {txt}Iteration 6: log pseudolikelihood = {res}-22.442452 {txt}Logistic regression Number of obs = {res} 70 {txt}{help j_robustsingular:Wald chi2(8)} = {res} . {txt}Prob > chi2 = {res} . {txt}Log pseudolikelihood = {res}-22.442452 {txt}Pseudo R2 = {res} 0.5140 {txt}(Std. Err. adjusted for {res}10{txt} clusters in ctrycode) {hline 13}{c TT}{hline 64} {c |} Robust newoutcome {c |} Coef. Std. Err. z P>|z| [95% Conf. Interval] {hline 13}{c +}{hline 64} coalitiong~3 {c |} {res} 3.146228 1.067273 2.95 0.003 1.054411 5.238046 {txt}unemployment {c |} {res}-.1649419 .1713973 -0.96 0.336 -.5008745 .1709907 {txt}realgdpgro~h {c |} {res}-.1137357 .1200643 -0.95 0.343 -.3490574 .1215859 {txt}debttogdp {c |} {res} -.031084 .0189006 -1.64 0.100 -.0681285 .0059605 {txt}welfare {c |} {res} .0343627 .8260697 0.04 0.967 -1.584704 1.65343 {txt}wages {c |} {res}-1.757737 1.361573 -1.29 0.197 -4.42637 .9108958 {txt}labourlaw {c |} {res}-1.129095 .828572 -1.36 0.173 -2.753066 .4948761 {txt}economicpo~y {c |} {res}-3.710242 .4715673 -7.87 0.000 -4.634496 -2.785987 {txt}trend {c |} {res} .0076313 .1246011 0.06 0.951 -.2365823 .2518448 {txt}unionunity {c |} {res} 2.6782 1.249207 2.14 0.032 .2297995 5.1266 {txt}tudensitym~n {c |} {res}-.0039953 .019337 -0.21 0.836 -.0418951 .0339044 {txt}_cons {c |} {res} 1.649327 2.666696 0.62 0.536 -3.5773 6.875954 {txt}{hline 13}{c BT}{hline 64} {com}. **Model 3 . logit newoutcome leftcabnet rightcabnet unemployment realgdpgrowth debttogdp welfare wages labourlaw economicpolicy trend corporatism, cluster(ctrycode) {txt}Iteration 0: log pseudolikelihood = {res}-50.853661 {txt}Iteration 1: log pseudolikelihood = {res}-30.187955 {txt}Iteration 2: log pseudolikelihood = {res}-26.757158 {txt}Iteration 3: log pseudolikelihood = {res}-25.924465 {txt}Iteration 4: log pseudolikelihood = {res}-25.837733 {txt}Iteration 5: log pseudolikelihood = {res}-25.836399 {txt}Iteration 6: log pseudolikelihood = {res}-25.836399 {txt}Logistic regression Number of obs = {res} 75 {txt}{help j_robustsingular:Wald chi2(9)} = {res} . {txt}Prob > chi2 = {res} . {txt}Log pseudolikelihood = {res}-25.836399 {txt}Pseudo R2 = {res} 0.4919 {txt}(Std. Err. adjusted for {res}11{txt} clusters in ctrycode) {hline 13}{c TT}{hline 64} {c |} Robust newoutcome {c |} Coef. Std. Err. z P>|z| [95% Conf. Interval] {hline 13}{c +}{hline 64} leftcabnet {c |} {res}-.0910359 .0278819 -3.27 0.001 -.1456835 -.0363883 {txt}rightcabnet {c |} {res}-.0677257 .0260937 -2.60 0.009 -.1188685 -.0165829 {txt}unemployment {c |} {res} .026885 .0887435 0.30 0.762 -.147049 .2008191 {txt}realgdpgro~h {c |} {res}-.4299279 .1942719 -2.21 0.027 -.8106939 -.049162 {txt}debttogdp {c |} {res}-.0246577 .0107815 -2.29 0.022 -.045789 -.0035264 {txt}welfare {c |} {res}-.1015003 .8169309 -0.12 0.901 -1.702655 1.499655 {txt}wages {c |} {res}-2.934436 1.838688 -1.60 0.111 -6.538198 .6693259 {txt}labourlaw {c |} {res}-2.268082 .8864597 -2.56 0.011 -4.005511 -.5306526 {txt}economicpo~y {c |} {res}-3.452438 1.114968 -3.10 0.002 -5.637735 -1.267142 {txt}trend {c |} {res} .0892446 .0844198 1.06 0.290 -.0762152 .2547044 {txt}corporatism {c |} {res}-.5001498 .7096176 -0.70 0.481 -1.890975 .8906751 {txt}_cons {c |} {res} 9.85278 4.169817 2.36 0.018 1.680089 18.02547 {txt}{hline 13}{c BT}{hline 64} {com}. **Model 4 . logit newoutcome coalitiongovyn3 unemployment realgdpgrowth debttogdp welfare wages labourlaw economicpolicy trend corporatism, cluster(ctrycode) {txt}Iteration 0: log pseudolikelihood = {res}-50.853661 {txt}Iteration 1: log pseudolikelihood = {res}-32.179858 {txt}Iteration 2: log pseudolikelihood = {res}-30.349246 {txt}Iteration 3: log pseudolikelihood = {res}-30.190372 {txt}Iteration 4: log pseudolikelihood = {res}-30.188232 {txt}Iteration 5: log pseudolikelihood = {res}-30.188231 {txt}Logistic regression Number of obs = {res} 75 {txt}{help j_robustsingular:Wald chi2(9)} = {res} . {txt}Prob > chi2 = {res} . {txt}Log pseudolikelihood = {res}-30.188231 {txt}Pseudo R2 = {res} 0.4064 {txt}(Std. Err. adjusted for {res}11{txt} clusters in ctrycode) {hline 13}{c TT}{hline 64} {c |} Robust newoutcome {c |} Coef. Std. Err. z P>|z| [95% Conf. Interval] {hline 13}{c +}{hline 64} coalitiong~3 {c |} {res} 2.878535 .8963417 3.21 0.001 1.121738 4.635332 {txt}unemployment {c |} {res}-.0561101 .0908352 -0.62 0.537 -.2341437 .1219236 {txt}realgdpgro~h {c |} {res}-.1293869 .1613713 -0.80 0.423 -.4456688 .1868951 {txt}debttogdp {c |} {res}-.0186089 .0106422 -1.75 0.080 -.0394672 .0022494 {txt}welfare {c |} {res} -.476441 .7538529 -0.63 0.527 -1.953966 1.001084 {txt}wages {c |} {res}-2.325488 .8617073 -2.70 0.007 -4.014403 -.6365726 {txt}labourlaw {c |} {res}-1.668685 .9117803 -1.83 0.067 -3.455741 .118372 {txt}economicpo~y {c |} {res}-2.666597 .7918377 -3.37 0.001 -4.21857 -1.114623 {txt}trend {c |} {res} .0487913 .0637135 0.77 0.444 -.0760849 .1736676 {txt}corporatism {c |} {res}-.2613167 .5573994 -0.47 0.639 -1.353799 .831166 {txt}_cons {c |} {res} 1.909698 1.588677 1.20 0.229 -1.204051 5.023447 {txt}{hline 13}{c BT}{hline 64} {com}. **Table 4 . **Model 1 . logit newoutcome leftcabnet rightcabnet unemployment realgdpgrowth debttogdp welfare wages labourlaw economicpolicy trend monthspreviouselection, cluster(ctrycode) {txt}Iteration 0: log pseudolikelihood = {res}-50.853661 {txt}Iteration 1: log pseudolikelihood = {res}-30.445006 {txt}Iteration 2: log pseudolikelihood = {res}-27.059802 {txt}Iteration 3: log pseudolikelihood = {res}-26.242213 {txt}Iteration 4: log pseudolikelihood = {res}-26.158943 {txt}Iteration 5: log pseudolikelihood = {res}-26.157665 {txt}Iteration 6: log pseudolikelihood = {res}-26.157665 {txt}Logistic regression Number of obs = {res} 75 {txt}{help j_robustsingular:Wald chi2(9)} = {res} . {txt}Prob > chi2 = {res} . {txt}Log pseudolikelihood = {res}-26.157665 {txt}Pseudo R2 = {res} 0.4856 {txt}(Std. Err. adjusted for {res}11{txt} clusters in ctrycode) {hline 13}{c TT}{hline 64} {c |} Robust newoutcome {c |} Coef. Std. Err. z P>|z| [95% Conf. Interval] {hline 13}{c +}{hline 64} leftcabnet {c |} {res}-.0806863 .0254778 -3.17 0.002 -.1306218 -.0307508 {txt}rightcabnet {c |} {res}-.0579228 .0184238 -3.14 0.002 -.0940327 -.0218128 {txt}unemployment {c |} {res} .0375334 .1079357 0.35 0.728 -.1740166 .2490835 {txt}realgdpgro~h {c |} {res}-.3880658 .1774206 -2.19 0.029 -.7358039 -.0403277 {txt}debttogdp {c |} {res}-.0252096 .0116949 -2.16 0.031 -.0481311 -.0022881 {txt}welfare {c |} {res}-.1866213 .8485205 -0.22 0.826 -1.849691 1.476448 {txt}wages {c |} {res}-2.918576 1.791599 -1.63 0.103 -6.430046 .5928939 {txt}labourlaw {c |} {res}-2.160405 .8679851 -2.49 0.013 -3.861624 -.4591854 {txt}economicpo~y {c |} {res}-3.153313 .9161489 -3.44 0.001 -4.948932 -1.357694 {txt}trend {c |} {res} .0809684 .0722369 1.12 0.262 -.0606132 .2225501 {txt}monthsprev~n {c |} {res}-.0047428 .0152774 -0.31 0.756 -.034686 .0252003 {txt}_cons {c |} {res} 7.796851 3.015923 2.59 0.010 1.885751 13.70795 {txt}{hline 13}{c BT}{hline 64} {com}. **Model 2 . logit newoutcome coalitiongovyn3 unemployment realgdpgrowth debttogdp welfare wages labourlaw economicpolicy trend monthspreviouselection, cluster(ctrycode) {txt}Iteration 0: log pseudolikelihood = {res}-50.853661 {txt}Iteration 1: log pseudolikelihood = {res}-32.149274 {txt}Iteration 2: log pseudolikelihood = {res}-30.395899 {txt}Iteration 3: log pseudolikelihood = {res} -30.24871 {txt}Iteration 4: log pseudolikelihood = {res}-30.246792 {txt}Iteration 5: log pseudolikelihood = {res}-30.246791 {txt}Logistic regression Number of obs = {res} 75 {txt}{help j_robustsingular:Wald chi2(9)} = {res} . {txt}Prob > chi2 = {res} . {txt}Log pseudolikelihood = {res}-30.246791 {txt}Pseudo R2 = {res} 0.4052 {txt}(Std. Err. adjusted for {res}11{txt} clusters in ctrycode) {hline 13}{c TT}{hline 64} {c |} Robust newoutcome {c |} Coef. Std. Err. z P>|z| [95% Conf. Interval] {hline 13}{c +}{hline 64} coalitiong~3 {c |} {res} 2.570883 .5195235 4.95 0.000 1.552635 3.58913 {txt}unemployment {c |} {res}-.0538817 .0910907 -0.59 0.554 -.2324163 .1246528 {txt}realgdpgro~h {c |} {res}-.1219561 .1745663 -0.70 0.485 -.4640998 .2201876 {txt}debttogdp {c |} {res}-.0184397 .0111158 -1.66 0.097 -.0402263 .0033468 {txt}welfare {c |} {res}-.4716622 .7449712 -0.63 0.527 -1.931779 .9884546 {txt}wages {c |} {res} -2.34285 .8968279 -2.61 0.009 -4.100601 -.5851 {txt}labourlaw {c |} {res}-1.646548 .9003773 -1.83 0.067 -3.411255 .1181594 {txt}economicpo~y {c |} {res}-2.501015 .7334857 -3.41 0.001 -3.93862 -1.063409 {txt}trend {c |} {res} .0471297 .0653079 0.72 0.471 -.0808714 .1751308 {txt}monthsprev~n {c |} {res} -.005966 .0229231 -0.26 0.795 -.0508945 .0389625 {txt}_cons {c |} {res} 1.459125 1.184288 1.23 0.218 -.8620369 3.780287 {txt}{hline 13}{c BT}{hline 64} {com}. **Model 3 . logit newoutcome leftcabnet rightcabnet unemployment realgdpgrowth debttogdp welfare wages labourlaw economicpolicy trend effectiveparties, cluster(ctrycode) {txt}Iteration 0: log pseudolikelihood = {res}-50.853661 {txt}Iteration 1: log pseudolikelihood = {res}-30.351246 {txt}Iteration 2: log pseudolikelihood = {res} -26.88274 {txt}Iteration 3: log pseudolikelihood = {res}-26.041028 {txt}Iteration 4: log pseudolikelihood = {res} -25.95597 {txt}Iteration 5: log pseudolikelihood = {res}-25.954731 {txt}Iteration 6: log pseudolikelihood = {res}-25.954731 {txt}Logistic regression Number of obs = {res} 75 {txt}{help j_robustsingular:Wald chi2(9)} = {res} . {txt}Prob > chi2 = {res} . {txt}Log pseudolikelihood = {res}-25.954731 {txt}Pseudo R2 = {res} 0.4896 {txt}(Std. Err. adjusted for {res}11{txt} clusters in ctrycode) {hline 13}{c TT}{hline 64} {c |} Robust newoutcome {c |} Coef. Std. Err. z P>|z| [95% Conf. Interval] {hline 13}{c +}{hline 64} leftcabnet {c |} {res} -.085019 .02682 -3.17 0.002 -.1375852 -.0324527 {txt}rightcabnet {c |} {res}-.0609285 .0212264 -2.87 0.004 -.1025315 -.0193255 {txt}unemployment {c |} {res} .0443459 .0972062 0.46 0.648 -.1461748 .2348666 {txt}realgdpgro~h {c |} {res}-.4413869 .1912834 -2.31 0.021 -.8162955 -.0664783 {txt}debttogdp {c |} {res}-.0175895 .0147441 -1.19 0.233 -.0464875 .0113084 {txt}welfare {c |} {res}-.2612661 .8724136 -0.30 0.765 -1.971165 1.448633 {txt}wages {c |} {res} -3.00448 1.863547 -1.61 0.107 -6.656964 .6480047 {txt}labourlaw {c |} {res}-2.085416 .8569995 -2.43 0.015 -3.765104 -.4057276 {txt}economicpo~y {c |} {res}-3.521833 1.212429 -2.90 0.004 -5.898151 -1.145515 {txt}trend {c |} {res} .0687052 .0829899 0.83 0.408 -.093952 .2313623 {txt}effectivep~s {c |} {res}-.1828171 .2845647 -0.64 0.521 -.7405537 .3749195 {txt}_cons {c |} {res} 8.390636 3.105278 2.70 0.007 2.304403 14.47687 {txt}{hline 13}{c BT}{hline 64} {com}. **Model 4 . logit newoutcome leftcabnet rightcabnet unemployment realgdpgrowth debttogdp welfare wages labourlaw economicpolicy trend votedistance, cluster(ctrycode) {txt}Iteration 0: log pseudolikelihood = {res}-50.853661 {txt}Iteration 1: log pseudolikelihood = {res}-29.932195 {txt}Iteration 2: log pseudolikelihood = {res}-26.354812 {txt}Iteration 3: log pseudolikelihood = {res}-25.477047 {txt}Iteration 4: log pseudolikelihood = {res}-25.389386 {txt}Iteration 5: log pseudolikelihood = {res} -25.38806 {txt}Iteration 6: log pseudolikelihood = {res} -25.38806 {txt}Logistic regression Number of obs = {res} 75 {txt}{help j_robustsingular:Wald chi2(9)} = {res} . {txt}Prob > chi2 = {res} . {txt}Log pseudolikelihood = {res} -25.38806 {txt}Pseudo R2 = {res} 0.5008 {txt}(Std. Err. adjusted for {res}11{txt} clusters in ctrycode) {hline 13}{c TT}{hline 64} {c |} Robust newoutcome {c |} Coef. Std. Err. z P>|z| [95% Conf. Interval] {hline 13}{c +}{hline 64} leftcabnet {c |} {res}-.0867005 .031691 -2.74 0.006 -.1488138 -.0245872 {txt}rightcabnet {c |} {res}-.0583161 .0197803 -2.95 0.003 -.0970849 -.0195474 {txt}unemployment {c |} {res} .0626059 .1136312 0.55 0.582 -.1601072 .2853191 {txt}realgdpgro~h {c |} {res}-.3426125 .1493833 -2.29 0.022 -.6353983 -.0498267 {txt}debttogdp {c |} {res}-.0311978 .0158129 -1.97 0.049 -.0621905 -.0002051 {txt}welfare {c |} {res}-.2259224 .8497547 -0.27 0.790 -1.891411 1.439566 {txt}wages {c |} {res}-3.095963 2.025185 -1.53 0.126 -7.065254 .8733271 {txt}labourlaw {c |} {res}-1.928587 .7556857 -2.55 0.011 -3.409704 -.4474705 {txt}economicpo~y {c |} {res}-3.009485 .9618525 -3.13 0.002 -4.894682 -1.124289 {txt}trend {c |} {res} .0541137 .0851207 0.64 0.525 -.1127198 .2209472 {txt}votedistance {c |} {res}-.0896368 .0961033 -0.93 0.351 -.2779959 .0987223 {txt}_cons {c |} {res} 9.191151 3.770119 2.44 0.015 1.801854 16.58045 {txt}{hline 13}{c BT}{hline 64} {com}. **Model 5 . logit newoutcome coalitiongovyn3 unemployment realgdpgrowth debttogdp welfare wages labourlaw economicpolicy trend votedistance, cluster(ctrycode) {txt}Iteration 0: log pseudolikelihood = {res}-50.853661 {txt}Iteration 1: log pseudolikelihood = {res}-31.991609 {txt}Iteration 2: log pseudolikelihood = {res}-30.150905 {txt}Iteration 3: log pseudolikelihood = {res}-29.993812 {txt}Iteration 4: log pseudolikelihood = {res}-29.991759 {txt}Iteration 5: log pseudolikelihood = {res}-29.991759 {txt}Logistic regression Number of obs = {res} 75 {txt}{help j_robustsingular:Wald chi2(9)} = {res} . {txt}Prob > chi2 = {res} . {txt}Log pseudolikelihood = {res}-29.991759 {txt}Pseudo R2 = {res} 0.4102 {txt}(Std. Err. adjusted for {res}11{txt} clusters in ctrycode) {hline 13}{c TT}{hline 64} {c |} Robust newoutcome {c |} Coef. Std. Err. z P>|z| [95% Conf. Interval] {hline 13}{c +}{hline 64} coalitiong~3 {c |} {res} 2.66618 .7174008 3.72 0.000 1.2601 4.07226 {txt}unemployment {c |} {res} -.058079 .0848564 -0.68 0.494 -.2243945 .1082365 {txt}realgdpgro~h {c |} {res}-.0985913 .2215866 -0.44 0.656 -.532893 .3357104 {txt}debttogdp {c |} {res}-.0224266 .0116163 -1.93 0.054 -.0451941 .0003409 {txt}welfare {c |} {res}-.4078999 .6271824 -0.65 0.515 -1.637155 .821355 {txt}wages {c |} {res}-2.327676 .8717558 -2.67 0.008 -4.036286 -.6190658 {txt}labourlaw {c |} {res}-1.561874 .8656059 -1.80 0.071 -3.25843 .1346828 {txt}economicpo~y {c |} {res}-2.373841 .5909885 -4.02 0.000 -3.532157 -1.215525 {txt}trend {c |} {res} .0415299 .0672049 0.62 0.537 -.0901893 .173249 {txt}votedistance {c |} {res}-.0478488 .0758044 -0.63 0.528 -.1964226 .100725 {txt}_cons {c |} {res} 1.989275 1.510334 1.32 0.188 -.9709256 4.949476 {txt}{hline 13}{c BT}{hline 64} {com}. log close {txt}log: {res}P:\LSE H drive\Kelly Paper\Strike Outcomes\R&R CP\CPOutputWebsiteMarch102013.smcl {txt}log type: {res}smcl {txt}closed on: {res}11 Mar 2013, 14:35:12 {txt}{.-} {smcl} {txt}{sf}{ul off}