The modal category for retnat is 2 The maximum category is 3 The minimum category is 1 Multinomial logistic regression Number of obs = 728 LR chi2(72) = 910.43 Prob > chi2 = 0.0000 Log likelihood = -863.20744 Pseudo R2 = 0.3453 ------------------------------------------------------------------------------ vote | RRR Std. Err. z P>|z| [95% Conf. Interval] -------------+---------------------------------------------------------------- exleft | _Iretnat_1 | 1.533853 .9656067 0.68 0.497 .4466082 5.267939 _Iretnat_3 | .8291776 .3541923 -0.44 0.661 .3589612 1.915348 age | .9668621 .0102644 -3.17 0.002 .9469521 .9871908 male | .8414603 .2712413 -0.54 0.592 .447355 1.58276 edulevel | 1.366121 .1713537 2.49 0.013 1.068371 1.746852 newrelg | 1.197448 .2129962 1.01 0.311 .844985 1.696931 urban | 1.287791 .2609856 1.25 0.212 .8656442 1.915804 occupa2 | 1.097658 .3750652 0.27 0.785 .5618429 2.144466 occupa3 | .229707 .1805705 -1.87 0.061 .0492099 1.072249 demsat | .9902765 .0696922 -0.14 0.890 .8626842 1.13674 lrself | .4223896 .0549338 -6.63 0.000 .3273485 .5450245 eusup | .2847003 .0714679 -5.00 0.000 .1740652 .4656544 -------------+---------------------------------------------------------------- cen_cpp | _Iretnat_1 | .297109 .2372933 -1.52 0.129 .0620988 1.421505 _Iretnat_3 | .7524448 .3453603 -0.62 0.535 .306046 1.849962 age | .9780288 .0115247 -1.89 0.059 .9556997 1.00088 male | .4501976 .1837743 -1.96 0.051 .202272 1.002007 edulevel | 1.268377 .2252715 1.34 0.181 .8955089 1.796499 newrelg | .4730253 .1357096 -2.61 0.009 .2695735 .8300258 urban | .8162883 .2046608 -0.81 0.418 .4993778 1.334314 occupa2 | 1.928652 .9493344 1.33 0.182 .7349697 5.061021 occupa3 | 5.799242 3.25638 3.13 0.002 1.929328 17.43157 demsat | 1.164449 .1046106 1.69 0.090 .976452 1.38864 lrself | 2.44576 .3357014 6.52 0.000 1.86887 3.200726 eusup | .9878596 .2896307 -0.04 0.967 .5560723 1.754927 -------------+---------------------------------------------------------------- rad | _Iretnat_1 | 1.223419 .8581599 0.29 0.774 .3093893 4.837772 _Iretnat_3 | 1.086482 .5288757 0.17 0.865 .4184817 2.820778 age | .9881821 .0113361 -1.04 0.300 .9662116 1.010652 male | .9469368 .3750436 -0.14 0.891 .4357067 2.058011 edulevel | 1.141816 .1804257 0.84 0.401 .8377068 1.556323 newrelg | .6218156 .1615825 -1.83 0.067 .3736559 1.034788 urban | 1.160174 .2870591 0.60 0.548 .7143519 1.88423 occupa2 | 2.257515 .9989005 1.84 0.066 .9484026 5.373639 occupa3 | 2.092534 1.306104 1.18 0.237 .6157082 7.111642 demsat | 1.237579 .109962 2.40 0.016 1.03978 1.473006 lrself | 1.298913 .1700209 2.00 0.046 1.004991 1.678795 eusup | .8137927 .2253917 -0.74 0.457 .4728911 1.400446 -------------+---------------------------------------------------------------- cons | _Iretnat_1 | .9835543 .5245613 -0.03 0.975 .3458001 2.79751 _Iretnat_3 | .8249311 .3106866 -0.51 0.609 .3943093 1.725831 age | .9746631 .0089711 -2.79 0.005 .9572377 .9924058 male | .4481721 .1438398 -2.50 0.012 .2389206 .8406904 edulevel | .9496892 .1208656 -0.41 0.685 .7400316 1.218745 newrelg | .6755086 .137783 -1.92 0.054 .45291 1.007511 urban | .7369559 .1460715 -1.54 0.124 .4997185 1.08682 occupa2 | 3.137338 1.205652 2.98 0.003 1.477242 6.663016 occupa3 | 8.043394 3.779205 4.44 0.000 3.202584 20.20124 demsat | 1.047192 .0731306 0.66 0.509 .9132353 1.200798 lrself | 3.478259 .4063388 10.67 0.000 2.766448 4.373221 eusup | 1.89248 .4629837 2.61 0.009 1.171629 3.056839 -------------+---------------------------------------------------------------- lib | _Iretnat_1 | .7878858 .4184151 -0.45 0.653 .2782426 2.231017 _Iretnat_3 | .5963365 .2259959 -1.36 0.173 .283732 1.253356 age | .9757107 .0092011 -2.61 0.009 .9578426 .9939121 male | .597466 .1977067 -1.56 0.120 .3123513 1.142834 edulevel | 1.036387 .1371416 0.27 0.787 .7996231 1.343256 newrelg | .4671254 .1050467 -3.38 0.001 .3006187 .7258567 urban | .5211512 .1072598 -3.17 0.002 .3481572 .7801035 occupa2 | 1.541148 .5758384 1.16 0.247 .7409674 3.205453 occupa3 | 2.403686 1.162365 1.81 0.070 .9316593 6.201523 demsat | 1.118953 .0813101 1.55 0.122 .9704169 1.290225 lrself | 2.983127 .3499333 9.32 0.000 2.370403 3.754233 eusup | 3.303154 .9033756 4.37 0.000 1.932568 5.645767 -------------+---------------------------------------------------------------- progess | _Iretnat_1 | 1.473971 .9416533 0.61 0.544 .4214001 5.155646 _Iretnat_3 | 1.531931 .7200663 0.91 0.364 .6097361 3.848899 age | .9651772 .010253 -3.34 0.001 .9452895 .9854833 male | .9968436 .3748978 -0.01 0.993 .4769831 2.083296 edulevel | .8257939 .1173544 -1.35 0.178 .6250383 1.09103 newrelg | .7323711 .1716123 -1.33 0.184 .4626729 1.15928 urban | .5756947 .1305608 -2.43 0.015 .3691048 .897914 occupa2 | 2.116582 .9010692 1.76 0.078 .9188879 4.875372 occupa3 | 3.595077 1.890466 2.43 0.015 1.282641 10.07654 demsat | .8768528 .070106 -1.64 0.100 .7496725 1.025609 lrself | 3.2947 .4242307 9.26 0.000 2.559846 4.240509 eusup | 1.095605 .2943217 0.34 0.734 .647125 1.854896 ------------------------------------------------------------------------------ (Outcome vote==socdem is the comparison group) test for all economic coeffcients in all equations are 0: ( 1) [exleft]_Iretnat_1 = 0 ( 2) [cen_cpp]_Iretnat_1 = 0 ( 3) [rad]_Iretnat_1 = 0 ( 4) [cons]_Iretnat_1 = 0 ( 5) [lib]_Iretnat_1 = 0 ( 6) [progess]_Iretnat_1 = 0 ( 7) [exleft]_Iretnat_3 = 0 ( 8) [cen_cpp]_Iretnat_3 = 0 ( 9) [rad]_Iretnat_3 = 0 (10) [cons]_Iretnat_3 = 0 (11) [lib]_Iretnat_3 = 0 (12) [progess]_Iretnat_3 = 0 chi2( 12) = 9.73 Prob > chi2 = 0.6397 vote | Freq. Percent Cum. ------------+----------------------------------- exleft | 134 18.41 18.41 socdem | 182 25.00 43.41 cen_cpp | 41 5.63 49.04 rad | 37 5.08 54.12 cons | 148 20.33 74.45 lib | 119 16.35 90.80 progess | 67 9.20 100.00 ------------+----------------------------------- Total | 728 100.00 > .88 .89 .9 .9 .91 .92 .92 .93 .94 .95 .95 .96 .97 .97 .98 .99 .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 -------------------------------------------------------------------------------- 10 .5179728 .1840659 .1762741 .1720673 .189138 .181111 .1705378 .2089641 20 . .25 .25533 .2602661 .2399721 .2412941 .2617924 .2288252 40 .3151725 .0563187 .0583594 .0643617 .0531654 .0719938 .0636613 .0235854 41 .9592529 .0508242 .0526263 .0532251 .0488838 .0451805 .0545714 .0550005 60 .8466464 .2032967 .2028412 .1987906 .2091936 .2030901 .1994058 .2180176 70 .3804403 .1634615 .1606577 .1526928 .1845912 .1950977 .143614 .1709231 80 .6582128 .092033 .0939113 .0985964 .0750559 .0622327 .1064172 .0946841 party pv sim_pv sim_pv_sd sim_pv_5% sim_pv_95% -------------------------------------------------------------------------------- 10 .1762741 .2375664 .040737 .163488 .3180657 20 .25533 .2520718 .060959 .1462097 .3827083 40 .0583594 .0544191 .0304097 .0160889 .1317757 41 .0526263 .0496386 .0313572 .0131244 .1335387 60 .2028412 .1699286 .0448748 .094881 .2699143 70 .1606577 .1569047 .0414303 .0875753 .2494256 80 .0939113 .0794708 .0332293 .031439 .1585543 party worse sim_worse sim_ws_sd sim_ws_5% sim_ws_95% -------------------------------------------------------------------------------- 10 .1720673 -.0180091 .0313672 -.0814932 .0450042 20 .2602661 .0209017 .0486581 -.081948 .115843 40 .0643617 .011273 .0258112 -.0383435 .0680741 41 .0532251 .0035143 .0264096 -.0590345 .0538138 60 .1987906 -.0057994 .0392788 -.0870522 .0705757 70 .1526928 -.0263774 .040318 -.1157902 .046079 80 .0985964 .0144969 .0308016 -.0457244 .077917 party better sim_better sim_bt_sd sim_bt_5% sim_bt_95% -------------------------------------------------------------------------------- 10 .189138 .0181915 .03646 -.0557812 .0932585 20 .2399721 -.0196075 .0505932 -.1181273 .084075 40 .0531654 -.0079134 .025586 -.0617492 .0407735 41 .0488838 -.0028458 .029193 -.0567223 .0673705 60 .2091936 .0063 .0323117 -.0553354 .0749079 70 .1845912 .0179989 .0330541 -.0398916 .0911627 80 .0750559 -.0121238 .0258667 -.0654278 .0372905 party all_worse sim_worse sim_ws_sd sim_ws_5% sim_ws_95% -------------------------------------------------------------------------------- 10 .1705378 -.0137346 .0319663 -.0780762 .0522288 20 .2617924 .0208869 .0436733 -.0703858 .1062681 40 .0636613 -.0067864 .0228189 -.0594175 .0359186 41 .0545714 .0085879 .0235284 -.0446748 .0542747 60 .1994058 .0015857 .0287887 -.058775 .0560178 70 .143614 -.0451415 .0307946 -.1130536 .0082785 80 .1064172 .0346019 .0239596 -.0051728 .0911033 party all_better sim_better sim_bt_sd sim_bt_5% sim_bt_95% -------------------------------------------------------------------------------- 10 .2089641 .0326763 .0484512 -.0611078 .1352901 20 .2288252 -.0216932 .0643992 -.1498736 .1097855 40 .0235854 -.042296 .0306804 -.1199896 -.0024074 41 .0550005 .009 .0378337 -.0566406 .1065942 60 .2180176 .0175219 .0422348 -.0660509 .1075179 70 .1709231 -.0212435 .0386958 -.0943398 .0629577 80 .0946841 .0260346 .0320717 -.0281322 .0998979 party LOGIT sim_pv sim_pv_sd sim_pv_5% sim_pv_95% -------------------------------------------------------------------------------- 10 .2408865 .0385683 .1694124 .3173132 20 .2657178 .0549683 .1698172 .3838193 40 .0612404 .0330972 .0195172 .1450551 41 .0558418 .0328426 .016238 .1410485 60 .1804765 .0423198 .1080376 .2733465 70 .1624443 .0415981 .0924065 .2543747 80 .0856362 .0342757 .0355064 .1687157 party LOGIT sim_worse sim_ws_sd sim_ws_5% sim_ws_95% -------------------------------------------------------------------------------- 10 -.0139966 .0297371 -.0727861 .0418853 20 .0345037 .0442702 -.0470867 .1220216 40 .0123303 .0293215 -.0401908 .0743691 41 .0040396 .0261029 -.0505332 .058914 60 -.0075759 .0380193 -.0795795 .0641335 70 -.0284057 .0416866 -.1092123 .0485773 80 .0166983 .0317226 -.0394363 .0813205 party LOGIT sim_better sim_bt_sd sim_bt_5% sim_bt_95% -------------------------------------------------------------------------------- 10 .0138575 .0350699 -.0543221 .082417 20 -.0343681 .0448334 -.1219005 .049136 40 -.0079353 .0288606 -.0661122 .0454118 41 -.0040721 .0269704 -.0599075 .0526319 60 .0066227 .032128 -.0532182 .068189 70 .0207501 .0336956 -.0383682 .0875879 80 -.0173116 .026548 -.0719482 .0299639 party LOGIT all_sim_worse sim_ws_sd sim_ws_5% sim_ws_95% -------------------------------------------------------------------------------- 10 -.0093462 .0309169 -.0683257 .0531494 20 .0260997 .0395623 -.0489258 .1055698 40 -.0090688 .0255128 -.0645605 .0395128 41 .0084889 .0230771 -.0370979 .0606036 60 -.0053188 .0300393 -.0620662 .0532801 70 -.0512532 .0322739 -.1184555 .0039739 80 .0391016 .0258113 .0005756 .0987186 party LOGIT all_sim_better sim_bt_sd sim_bt_5% sim_bt_95% -------------------------------------------------------------------------------- 10 .0275423 .0452124 -.052311 .1215088 20 -.0518326 .0549679 -.1560115 .0466559 40 -.0475403 .0367508 -.1328044 -.0001976 41 .005606 .0336923 -.0562459 .0812036 60 .0090118 .038585 -.0597655 .0824908 70 -.0244953 .0383843 -.0986983 .043593 80 .0226047 .0309093 -.0285095 .091127