The modal category for retnat is 2 The maximum category is 3 The minimum category is 1 Multinomial logistic regression Number of obs = 424 LR chi2(24) = 94.96 Prob > chi2 = 0.0000 Log likelihood = -369.85295 Pseudo R2 = 0.1138 ------------------------------------------------------------------------------ vote | RRR Std. Err. z P>|z| [95% Conf. Interval] -------------+---------------------------------------------------------------- labor | _Iretnat_1 | .6854689 .2431142 -1.06 0.287 .342053 1.373669 _Iretnat_3 | .6140616 .2019295 -1.48 0.138 .3223301 1.169831 age | .9830727 .0093694 -1.79 0.073 .9648795 1.001609 male | .9516436 .2747932 -0.17 0.864 .5403615 1.675962 edulevel | .8894205 .2197697 -0.47 0.635 .5480007 1.443554 notrelig | 2.056248 .6144989 2.41 0.016 1.144717 3.693623 unionhld | 1.410931 .4135472 1.17 0.240 .7943584 2.50608 occupa2 | 1.124572 .3968474 0.33 0.739 .5631301 2.245772 occupa3 | .3554509 .1373197 -2.68 0.007 .1667013 .7579147 demsat | 1.151723 .1973295 0.82 0.410 .8232048 1.611342 lrself | .6193592 .0556994 -5.33 0.000 .5192702 .7387402 eusup | .875025 .2361628 -0.49 0.621 .5155697 1.485092 -------------+---------------------------------------------------------------- fg | _Iretnat_1 | 1.132979 .3447211 0.41 0.682 .6240714 2.056881 _Iretnat_3 | .7744493 .2325541 -0.85 0.395 .4299238 1.395065 age | 1.016612 .0082592 2.03 0.043 1.000553 1.032929 male | .9181597 .2330164 -0.34 0.737 .558335 1.509877 edulevel | 1.528226 .310497 2.09 0.037 1.02623 2.27578 notrelig | 1.015506 .3034227 0.05 0.959 .5653956 1.823949 unionhld | .954913 .2645096 -0.17 0.868 .5548584 1.643408 occupa2 | 1.830256 .6141281 1.80 0.072 .9481955 3.532856 occupa3 | 1.46991 .4423307 1.28 0.201 .8149745 2.651169 demsat | 1.114156 .1810377 0.67 0.506 .8102809 1.531993 lrself | .8773634 .0647682 -1.77 0.076 .7591762 1.01395 eusup | .9594592 .2418622 -0.16 0.870 .5854018 1.57253 ------------------------------------------------------------------------------ (Outcome vote==ff is the comparison group) test for all economic coeffcients in all equations are 0: ( 1) [labor]_Iretnat_1 = 0 ( 2) [fg]_Iretnat_1 = 0 ( 3) [labor]_Iretnat_3 = 0 ( 4) [fg]_Iretnat_3 = 0 chi2( 4) = 3.82 Prob > chi2 = 0.4307 vote | Freq. Percent Cum. ------------+----------------------------------- labor | 86 20.28 20.28 fg | 98 23.11 43.40 ff | 240 56.60 100.00 ------------+----------------------------------- Total | 424 100.00 ..................................................................................... 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 categ > ory better: mean predicted probability of voting for each party (for the sample) when retnat gets worse by one cate > gory party test freq pv worse better -------------------------------------------------------------------------------- 20 .2885936 .2028302 .2172055 .2095142 .2196491 30 .4805307 .2311321 .2288049 .211738 .251048 60 . .5660377 .5539896 .5787478 .529303 party pv sim_pv sim_pv_sd sim_pv_5% sim_pv_95% -------------------------------------------------------------------------------- 20 .2172055 .1982478 .0650279 .0962806 .334627 30 .2288049 .2509009 .0778446 .1244775 .4124584 60 .5539896 .5508513 .0867806 .3911524 .7121077 party worse sim_worse sim_ws_sd sim_ws_5% sim_ws_95% -------------------------------------------------------------------------------- 20 .2095142 -.0118964 .0479891 -.1010999 .0795865 30 .211738 -.0279131 .0493432 -.1263536 .0654136 60 .5787478 .0398096 .0545714 -.061293 .1407069 party better sim_better sim_bt_sd sim_bt_5% sim_bt_95% -------------------------------------------------------------------------------- 20 .2196491 -.0026775 .0483904 -.0947619 .0844584 30 .251048 .0302687 .0488862 -.059633 .1244368 60 .529303 -.0275912 .0550528 -.1296065 .0744087