The modal category for retnat is 2 The maximum category is 3 The minimum category is 1 Multinomial logistic regression Number of obs = 402 LR chi2(26) = 671.63 Prob > chi2 = 0.0000 Log likelihood = -90.147994 Pseudo R2 = 0.7884 ------------------------------------------------------------------------------ vote | RRR Std. Err. z P>|z| [95% Conf. Interval] -------------+---------------------------------------------------------------- exleft | _Iretnat_1 | .1799699 .237096 -1.30 0.193 .0136085 2.380071 _Iretnat_3 | .6421294 .743506 -0.38 0.702 .06638 6.211665 age | .9740988 .0337554 -0.76 0.449 .9101361 1.042557 male | 3.371786 3.601397 1.14 0.255 .4156171 27.35436 income | .6089456 .324369 -0.93 0.352 .2143712 1.729779 edulevel | 1.104503 .5458524 0.20 0.841 .4192734 2.909619 relginx | .6130684 .401108 -0.75 0.455 .1700588 2.210134 urban | 1.540295 .8754886 0.76 0.447 .5055795 4.692654 occupa2 | .5867399 .6808527 -0.46 0.646 .0603548 5.703999 occupa3 | .731415 1.066478 -0.21 0.830 .0419783 12.7439 demsat | 1.160725 .6076702 0.28 0.776 .416009 3.238589 lrself | .0037348 .0029097 -7.18 0.000 .0008112 .017196 eusup | .9170809 .4201686 -0.19 0.850 .3736132 2.251091 -------------+---------------------------------------------------------------- pasok | _Iretnat_1 | .1594741 .1879291 -1.56 0.119 .0158347 1.606097 _Iretnat_3 | .1809915 .1811701 -1.71 0.088 .0254458 1.28736 age | .9746004 .0292936 -0.86 0.392 .9188444 1.03374 male | 4.766254 4.520424 1.65 0.100 .7428108 30.58272 income | .9142699 .4257803 -0.19 0.847 .3669994 2.277631 edulevel | .6060255 .2721486 -1.12 0.265 .251328 1.461305 relginx | .805002 .4129992 -0.42 0.672 .2945069 2.200384 urban | 1.197098 .5845107 0.37 0.713 .4597386 3.117084 occupa2 | .3175435 .3197449 -1.14 0.255 .0441266 2.285102 occupa3 | .7187959 .8943316 -0.27 0.791 .0627384 8.235261 demsat | .4659198 .2102088 -1.69 0.090 .192431 1.128099 lrself | .0169281 .0125187 -5.52 0.000 .0039731 .0721254 eusup | 1.402747 .5905347 0.80 0.421 .6146623 3.201267 ------------------------------------------------------------------------------ (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) = 8.80 Prob > chi2 = 0.0664 vote | Freq. Percent Cum. ------------+----------------------------------- exleft | 84 20.90 20.90 pasok | 150 37.31 58.21 newdem | 168 41.79 100.00 ------------+----------------------------------- Total | 402 100.00 > 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 .3814497 .2089552 .2004965 .2203982 .1745156 .1703317 .2421495 .1753801 20 .1902233 .3731343 .4424825 .4213521 .4842577 .5183464 .3899748 .4503685 60 . .4179104 .357021 .3582497 .3412267 .3113219 .3678757 .3742514 party pv sim_pv sim_pv_sd sim_pv_5% sim_pv_95% -------------------------------------------------------------------------------- 10 .2004965 .2107454 .0443812 .1355375 .2988153 20 .4424825 .3710021 .076111 .2354665 .5082768 60 .357021 .4182525 .0406122 .35307 .4904761 party worse sim_worse sim_ws_sd sim_ws_5% sim_ws_95% -------------------------------------------------------------------------------- 10 .2203982 .0382652 .0463989 -.0440668 .1360463 20 .4213521 -.0362805 .079233 -.1871557 .1105987 60 .3582497 -.0019847 .0415268 -.0813325 .0642713 party better sim_better sim_bt_sd sim_bt_5% sim_bt_95% -------------------------------------------------------------------------------- 10 .1745156 -.0300245 .0352699 -.1055786 .0303431 20 .4842577 .0480812 .0779894 -.0746718 .2095412 60 .3412267 -.0180567 .049209 -.1188607 .0537054 party all_worse sim_worse sim_ws_sd sim_ws_5% sim_ws_95% -------------------------------------------------------------------------------- 10 .2421495 .0682299 .0442295 .0027511 .1677783 20 .3899748 -.1093753 .0805886 -.2950611 -.0038979 60 .3678757 .0411454 .0452211 -.0042176 .1511333 party all_better sim_better sim_bt_sd sim_bt_5% sim_bt_95% -------------------------------------------------------------------------------- 10 .1753801 .004539 .0330575 -.0613903 .0715845 20 .4503685 -.048856 .0737697 -.2164929 .0620507 60 .3742514 .044317 .0468629 -.0065584 .1590431 party LOGIT sim_pv sim_pv_sd sim_pv_5% sim_pv_95% -------------------------------------------------------------------------------- 10 .2120233 .0455665 .1368836 .3038787 20 .3752742 .0711 .2459745 .5169427 60 .4189042 .0393795 .3535456 .4891622 party LOGIT sim_worse sim_ws_sd sim_ws_5% sim_ws_95% -------------------------------------------------------------------------------- 10 .0338533 .0448491 -.0441584 .1282883 20 -.1047364 .064349 -.2371925 .0138601 60 -.0002336 .0415224 -.0797 .0668167 party LOGIT sim_better sim_bt_sd sim_bt_5% sim_bt_95% -------------------------------------------------------------------------------- 10 -.029376 .0368473 -.1090598 .0296379 20 .1135842 .0615388 .0090061 .2461336 60 -.019968 .0491005 -.1211066 .0533409 party LOGIT all_sim_worse sim_ws_sd sim_ws_5% sim_ws_95% -------------------------------------------------------------------------------- 10 .0631611 .0446065 .0020228 .1628235 20 -.1642884 .0657176 -.3055126 -.0565703 60 .0428132 .0452316 -.006826 .1524545 party LOGIT all_sim_better sim_bt_sd sim_bt_5% sim_bt_95% -------------------------------------------------------------------------------- 10 .005264 .0322146 -.0606538 .0715248 20 .0464641 .0595088 -.0697068 .1673757 60 .0429568 .0471545 -.011451 .1567262