The modal category for retnat is 2 The maximum category is 3 The minimum category is 1 Multinomial logistic regression Number of obs = 531 LR chi2(24) = 72.73 Prob > chi2 = 0.0000 Log likelihood = -436.72829 Pseudo R2 = 0.0769 ------------------------------------------------------------------------------ vote | RRR Std. Err. z P>|z| [95% Conf. Interval] -------------+---------------------------------------------------------------- labor | _Iretnat_1 | .3794556 .3431054 -1.07 0.284 .0644913 2.232652 _Iretnat_3 | .6759492 .3566637 -0.74 0.458 .2403138 1.901295 age | .976754 .0125471 -1.83 0.067 .9524691 1.001658 male | 1.009412 .3656273 0.03 0.979 .4963039 2.053001 edulevel | .8636375 .1944198 -0.65 0.515 .5555347 1.342616 notrelig | 1.452195 .5687505 0.95 0.341 .6739894 3.128939 urban | 1.048416 .2076933 0.24 0.811 .7110641 1.545818 occupa2 | .7379918 .3624164 -0.62 0.536 .281864 1.932251 occupa3 | .5860724 .287083 -1.09 0.275 .2243865 1.530755 demsat | 1.185934 .254999 0.79 0.428 .7781002 1.80753 lrself | .6319268 .0678655 -4.27 0.000 .5119792 .7799761 eusup | .8620376 .1258793 -1.02 0.309 .6474843 1.147686 -------------+---------------------------------------------------------------- fg | _Iretnat_1 | .8532723 .3261914 -0.42 0.678 .4033554 1.805042 _Iretnat_3 | .4116755 .1154007 -3.17 0.002 .2376548 .7131213 age | 1.001219 .0064925 0.19 0.851 .9885746 1.014025 male | .7344091 .1474963 -1.54 0.124 .4954337 1.088656 edulevel | 1.156151 .1285015 1.31 0.192 .9298376 1.437548 notrelig | 1.149468 .288953 0.55 0.579 .7022988 1.881359 urban | .9567194 .1063678 -0.40 0.691 .769393 1.189655 occupa2 | 1.020071 .2545583 0.08 0.937 .6254795 1.663594 occupa3 | .6896662 .1859256 -1.38 0.168 .4065981 1.169802 demsat | .9249496 .1078859 -0.67 0.504 .735926 1.162524 lrself | .9022063 .0519264 -1.79 0.074 .8059629 1.009943 eusup | 1.154653 .0934348 1.78 0.076 .9853077 1.353103 ------------------------------------------------------------------------------ (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) = 15.00 Prob > chi2 = 0.0047 vote | Freq. Percent Cum. ------------+----------------------------------- labor | 42 7.91 7.91 fg | 189 35.59 43.50 ff | 300 56.50 100.00 ------------+----------------------------------- Total | 531 100.00 > .81 .82 .83 .84 .85 .86 .87 .88 .89 .9 .91 .92 .92 .93 .94 .95 .96 .97 .98 .99 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 -------------------------------------------------------------------------------- 20 .5446773 .079096 .0915171 .0969725 .0843813 .0964891 .0970156 .0453314 30 .0011233 .3559322 .3534368 .3268666 .4931345 .4950376 .3063546 .4869177 60 . .5649718 .5550461 .5761609 .4224842 .4084733 .5966298 .4677508 party pv sim_pv sim_pv_sd sim_pv_5% sim_pv_95% -------------------------------------------------------------------------------- 20 .0915171 .095128 .0455422 .0328928 .2104206 30 .3534368 .3596507 .0711032 .2289142 .5081684 60 .5550461 .5452213 .0752026 .3949184 .6881715 party worse sim_worse sim_ws_sd sim_ws_5% sim_ws_95% -------------------------------------------------------------------------------- 20 .0969725 .0149939 .0465464 -.079814 .1080155 30 .3268666 -.1164289 .0715321 -.2455026 .0350191 60 .5761609 .1014349 .0694255 -.0564014 .2283069 party better sim_better sim_bt_sd sim_bt_5% sim_bt_95% -------------------------------------------------------------------------------- 20 .0843813 -.0050987 .0463337 -.0944948 .0931258 30 .4931345 .1412978 .0672948 -.0024863 .2607883 60 .4224842 -.1361991 .0661607 -.2566372 .0129315 party all_worse sim_worse sim_ws_sd sim_ws_5% sim_ws_95% -------------------------------------------------------------------------------- 20 .0970156 -.0028851 .0439619 -.098017 .07839 30 .3063546 -.171348 .0627646 -.2819833 -.0332387 60 .5966298 .1742331 .0622384 .0286753 .2847222 party all_better sim_better sim_bt_sd sim_bt_5% sim_bt_95% -------------------------------------------------------------------------------- 20 .0453314 -.0468986 .0592405 -.176122 .06787 30 .4869177 .0062486 .0887498 -.1687468 .1727515 60 .4677508 .0406501 .0844421 -.1240712 .2159015 party LOGIT sim_pv sim_pv_sd sim_pv_5% sim_pv_95% -------------------------------------------------------------------------------- 20 .0957393 .0462228 .0325209 .2095333 30 .3679208 .0697326 .2387729 .5121687 60 .5499142 .0719632 .4059312 .688527 party LOGIT sim_worse sim_ws_sd sim_ws_5% sim_ws_95% -------------------------------------------------------------------------------- 20 .0155535 .0456473 -.0836619 .1137204 30 -.1159665 .0711474 -.2530293 .0213836 60 .105658 .0706216 -.031854 .2412643 party LOGIT sim_better sim_bt_sd sim_bt_5% sim_bt_95% -------------------------------------------------------------------------------- 20 -.0063528 .0466427 -.0930271 .0988363 30 .1453392 .0693342 .0105274 .276534 60 -.1431967 .0682445 -.2708655 -.0076743 party LOGIT all_sim_worse sim_ws_sd sim_ws_5% sim_ws_95% -------------------------------------------------------------------------------- 20 -.0006153 .0450479 -.1040714 .0811604 30 -.1772609 .0666323 -.3009064 -.0463156 60 .183661 .0656408 .0510212 .3040896 party LOGIT all_sim_better sim_bt_sd sim_bt_5% sim_bt_95% -------------------------------------------------------------------------------- 20 -.045792 .0554032 -.172378 .0627697 30 -.0023304 .0808839 -.1540469 .1615989 60 .0447892 .0801141 -.1170265 .1931523