The modal category for retnat is 2 The maximum category is 3 The minimum category is 1 Multinomial logistic regression Number of obs = 406 LR chi2(26) = 566.66 Prob > chi2 = 0.0000 Log likelihood = -120.24863 Pseudo R2 = 0.7020 ------------------------------------------------------------------------------ vote | RRR Std. Err. z P>|z| [95% Conf. Interval] -------------+---------------------------------------------------------------- exleft | _Iretnat_1 | 1.105923 1.644039 0.07 0.946 .0600274 20.37513 _Iretnat_3 | 4.011032 4.515298 1.23 0.217 .4416129 36.43095 age | .9719276 .0224498 -1.23 0.218 .928908 1.01694 male | 1.60958 1.193235 0.64 0.521 .3764338 6.882344 income | .7088885 .2621697 -0.93 0.352 .343381 1.463455 edulevel | 1.039911 .279027 0.15 0.884 .6146153 1.759499 notrelig | .2189338 .1921086 -1.73 0.083 .0392109 1.222417 urban | 1.201113 .5400469 0.41 0.684 .497582 2.899365 occupa2 | 1.076295 1.191293 0.07 0.947 .1229649 9.420653 occupa3 | .4389323 .4097079 -0.88 0.378 .0704481 2.7348 demsat | 1.491684 .7091648 0.84 0.400 .5874961 3.787464 lrself | .0261639 .0102907 -9.26 0.000 .0121035 .0565579 eusup | .2024224 .1669931 -1.94 0.053 .0401828 1.019711 -------------+---------------------------------------------------------------- pasok | _Iretnat_1 | .6243532 .57 -0.52 0.606 .1043111 3.737062 _Iretnat_3 | 10.31208 8.084775 2.98 0.003 2.218173 47.93988 age | .9634645 .0177225 -2.02 0.043 .9293477 .9988338 male | .840864 .4920015 -0.30 0.767 .2671011 2.647134 income | .9952785 .2910297 -0.02 0.987 .5611054 1.765407 edulevel | .8838097 .1847505 -0.59 0.555 .5867115 1.331352 notrelig | .321628 .23872 -1.53 0.126 .0750882 1.377641 urban | .7662769 .282059 -0.72 0.470 .372449 1.576539 occupa2 | 1.564882 1.385384 0.51 0.613 .2760042 8.872524 occupa3 | .3529148 .2739855 -1.34 0.180 .0770618 1.61622 demsat | 1.384771 .5295833 0.85 0.395 .6544096 2.93026 lrself | .1009943 .0341734 -6.78 0.000 .0520326 .1960279 eusup | .230664 .1740262 -1.94 0.052 .0525756 1.011987 ------------------------------------------------------------------------------ (Outcome vote==newdem is the comparison group) test for all economic coeffcients in all equations are 0: ( 1) [exleft]_Iretnat_1 = 0 ( 2) [pasok]_Iretnat_1 = 0 ( 3) [exleft]_Iretnat_3 = 0 ( 4) [pasok]_Iretnat_3 = 0 chi2( 4) = 16.08 Prob > chi2 = 0.0029 vote | Freq. Percent Cum. ------------+----------------------------------- exleft | 55 13.55 13.55 pasok | 164 40.39 53.94 newdem | 187 46.06 100.00 ------------+----------------------------------- Total | 406 100.00 > .99 .99 .99 .99 1 1 1 These are the following stats: test: test that the coeffcients on retnat are jointly 0 in each equation seperately freq: the sample frequencies of people voting for each party pred-value: mean predicted probability of voting for each party, for the sample worse: mean predicted probability of voting for each party (for the sample) when retnat gets worse by one category better: mean predicted probability of voting for each party (for the sample) when retnat gets worse by one category party test freq pv worse better all_neutral all_worse all_better -------------------------------------------------------------------------------- 10 .3599432 .135468 .1400775 .135801 .1862259 .1785925 .1310459 .2116037 20 .0006743 .4039409 .4591176 .4908356 .3208737 .3265138 .5013333 .2657544 60 . .4605911 .4008049 .3733633 .4929004 .4948937 .3676207 .5226419 party pv sim_pv sim_pv_sd sim_pv_5% sim_pv_95% -------------------------------------------------------------------------------- 10 .1400775 .1401014 .0471384 .0663047 .241633 20 .4591176 .3986526 .0727397 .2621771 .5316634 60 .4008049 .4612459 .0401427 .3934683 .5385101 party worse sim_worse sim_ws_sd sim_ws_5% sim_ws_95% -------------------------------------------------------------------------------- 10 .135801 -.010713 .0248427 -.0677697 .0346304 20 .4908356 .0690341 .0558406 -.0259226 .1892114 60 .3733633 -.0583211 .0486421 -.1658092 .0206536 party better sim_better sim_bt_sd sim_bt_5% sim_bt_95% -------------------------------------------------------------------------------- 10 .1862259 .0553755 .076037 -.0654581 .2304874 20 .3208737 -.1462893 .1082903 -.3730817 .0364843 60 .4929004 .0909138 .0673358 -.0024148 .2468082 party all_worse sim_worse sim_ws_sd sim_ws_5% sim_ws_95% -------------------------------------------------------------------------------- 10 .1310459 -.0468132 .0619751 -.190566 .0486399 20 .5013333 .1505161 .100112 -.0113523 .3631243 60 .3676207 -.1037029 .0673987 -.2605021 -.0142902 party all_better sim_better sim_bt_sd sim_bt_5% sim_bt_95% -------------------------------------------------------------------------------- 10 .2116037 .0309125 .0930339 -.1557129 .2313026 20 .2657544 -.0537615 .1095537 -.2752006 .164159 60 .5226419 .022849 .0583341 -.09095 .1517192 party LOGIT sim_pv sim_pv_sd sim_pv_5% sim_pv_95% -------------------------------------------------------------------------------- 10 .1407681 .0478765 .0669064 .2452162 20 .4063441 .0730322 .2728083 .5532357 60 .4622966 .0409976 .3936553 .5411418 party LOGIT sim_worse sim_ws_sd sim_ws_5% sim_ws_95% -------------------------------------------------------------------------------- 10 -.0090977 .028633 -.0740335 .0415343 20 .1320501 .0596217 .0225012 .2537165 60 -.0572994 .0484829 -.1644315 .0196358 party LOGIT sim_better sim_bt_sd sim_bt_5% sim_bt_95% -------------------------------------------------------------------------------- 10 .0460608 .0735551 -.0692717 .2168382 20 -.2551004 .0776943 -.4037583 -.1031949 60 .093568 .0704963 .0004514 .2587732 party LOGIT all_sim_worse sim_ws_sd sim_ws_5% sim_ws_95% -------------------------------------------------------------------------------- 10 -.0419541 .0607105 -.1850468 .0486292 20 .2799616 .077412 .1315612 .4292272 60 -.1063317 .0692783 -.2698055 -.0181558 party LOGIT all_sim_better sim_bt_sd sim_bt_5% sim_bt_95% -------------------------------------------------------------------------------- 10 .004092 .0886112 -.1734194 .1909657 20 -.0553272 .077287 -.2125726 .0873282 60 .0205488 .0593263 -.0889146 .147915