The modal category for retnat is 2 The maximum category is 3 The minimum category is 1 Multinomial logistic regression Number of obs = 405 LR chi2(24) = 97.27 Prob > chi2 = 0.0000 Log likelihood = -332.69555 Pseudo R2 = 0.1275 ------------------------------------------------------------------------------ vote | RRR Std. Err. z P>|z| [95% Conf. Interval] -------------+---------------------------------------------------------------- labor | _Iretnat_1 | 1.092721 1.149735 0.08 0.933 .1389618 8.592572 _Iretnat_3 | 1.851591 1.345055 0.85 0.396 .4458664 7.689271 age | .9714847 .0131829 -2.13 0.033 .9459873 .9976693 male | 2.517825 1.058738 2.20 0.028 1.104327 5.740548 income | 1.208628 .2532917 0.90 0.366 .8015055 1.822546 edulevel | .845719 .2168292 -0.65 0.513 .5116715 1.397851 notrelig | 1.075899 .4501947 0.17 0.861 .4738034 2.443119 urban | 1.064373 .2396627 0.28 0.782 .68459 1.654844 occupa2 | .3384714 .2191398 -1.67 0.094 .0951525 1.203992 occupa3 | 1.526439 .8134917 0.79 0.427 .5370871 4.338244 demsat | .9341998 .2166907 -0.29 0.769 .5929264 1.471902 lrself | .4680165 .0575856 -6.17 0.000 .367729 .5956546 -------------+---------------------------------------------------------------- fg | _Iretnat_1 | 1.630633 .8993718 0.89 0.375 .5531944 4.806561 _Iretnat_3 | 1.74703 .6853086 1.42 0.155 .8098393 3.768788 age | .9969352 .0079721 -0.38 0.701 .981432 1.012683 male | 1.465145 .3294024 1.70 0.089 .9429932 2.276422 income | .8852534 .1073555 -1.01 0.315 .6979778 1.122777 edulevel | 1.276207 .1792137 1.74 0.082 .9691468 1.680555 notrelig | .8747459 .2451 -0.48 0.633 .5051018 1.514903 urban | .8292731 .1055758 -1.47 0.141 .646145 1.064303 occupa2 | .9957012 .3021574 -0.01 0.989 .5493154 1.80483 occupa3 | .6042384 .2037681 -1.49 0.135 .3120014 1.1702 demsat | 1.111287 .1534602 0.76 0.445 .8477771 1.456702 lrself | .8351939 .0516043 -2.91 0.004 .7399357 .9427155 ------------------------------------------------------------------------------ (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) = 2.64 Prob > chi2 = 0.6198 vote | Freq. Percent Cum. ------------+----------------------------------- labor | 41 10.12 10.12 fg | 156 38.52 48.64 ff | 208 51.36 100.00 ------------+----------------------------------- Total | 405 100.00 > .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 -------------------------------------------------------------------------------- 20 .6133491 .1012346 .1164266 .1191953 .0940427 .0952686 .121139 .0869386 30 .3636675 .3851852 .3839214 .387295 .3097607 .2944115 .3931378 .3963188 60 . .5135802 .499652 .4935097 .5961966 .6103199 .4857232 .5167427 party pv sim_pv sim_pv_sd sim_pv_5% sim_pv_95% -------------------------------------------------------------------------------- 20 .1164266 .1095396 .0516032 .0384323 .2316242 30 .3839214 .3846424 .0838794 .2336396 .5553583 60 .499652 .505818 .0838453 .3430194 .6650769 party worse sim_worse sim_ws_sd sim_ws_5% sim_ws_95% -------------------------------------------------------------------------------- 20 .1191953 .0151319 .0611529 -.1154881 .1326617 30 .387295 .017816 .0905069 -.1634631 .1851217 60 .4935097 -.0329479 .0985303 -.2204194 .1649025 party better sim_better sim_bt_sd sim_bt_5% sim_bt_95% -------------------------------------------------------------------------------- 20 .0940427 -.0196555 .0537501 -.1195452 .0921044 30 .3097607 -.0762983 .0818431 -.2282921 .090452 60 .5961966 .0959538 .0864205 -.0777871 .257336 party all_worse sim_worse sim_ws_sd sim_ws_5% sim_ws_95% -------------------------------------------------------------------------------- 20 .121139 .0223006 .051669 -.0839575 .1184135 30 .3931378 .0967952 .077563 -.0620723 .2415458 60 .4857232 -.1190958 .0824791 -.2722772 .0479388 party all_better sim_better sim_bt_sd sim_bt_5% sim_bt_95% -------------------------------------------------------------------------------- 20 .0869386 -.003762 .0730033 -.1435224 .1553447 30 .3963188 .094741 .1163054 -.1169799 .3216077 60 .5167427 -.0909789 .1190133 -.3240631 .1384317 party LOGIT sim_pv sim_pv_sd sim_pv_5% sim_pv_95% -------------------------------------------------------------------------------- 20 .1112371 .0520536 .0392866 .233752 30 .3906847 .081968 .2432083 .5587566 60 .511066 .0816657 .3517236 .6661663 party LOGIT sim_worse sim_ws_sd sim_ws_5% sim_ws_95% -------------------------------------------------------------------------------- 20 .0149376 .0621823 -.1204448 .1343128 30 .0155914 .0911295 -.1707906 .1854282 60 -.0367174 .0934236 -.2125805 .1512887 party LOGIT sim_better sim_bt_sd sim_bt_5% sim_bt_95% -------------------------------------------------------------------------------- 20 -.0212077 .0543809 -.1208262 .0940338 30 -.0786637 .0827416 -.2287116 .0925116 60 .1020708 .0828678 -.0633631 .2551021 party LOGIT all_sim_worse sim_ws_sd sim_ws_5% sim_ws_95% -------------------------------------------------------------------------------- 20 .0236284 .052417 -.0867291 .1192647 30 .0995904 .078464 -.0634679 .2405169 60 -.1257157 .0788309 -.2697149 .0322828 party LOGIT all_sim_better sim_bt_sd sim_bt_5% sim_bt_95% -------------------------------------------------------------------------------- 20 -.0026954 .072979 -.1448297 .1589962 30 .1015747 .1162047 -.122639 .3323954 60 -.0899903 .114612 -.3163241 .1331994