------------------------------------------------------------------------------------------------------- log: C:\Dokumente und Einstellungen\Margit\Desktop\DatenAnalysen\Analysen\KonfliktAfrika\BSWtes > tsEJIR2005.log log type: text opened on: 10 Jan 2005, 17:52:28 . do KonfliktAfrika\analysesEJIRconflictAfrika . /*Tests for Bussmann/Schneider/Wiesehomeier - EJIR manuscript, August 2004*/ . version 8.0 . . use KonfliktAfrika\data (replication data for Bussmann/Schneider/Wiesehomeier EJIR 2005) . . . *TESTS -TABLE 2 . *column 1 . logit onset Ldemo Ldemo2 Llrgdpch mtnest lpop Llopenc LcTRADE if Afrika==1, robust cluster(state) Iteration 0: log pseudo-likelihood = -92.661829 Iteration 1: log pseudo-likelihood = -82.589148 Iteration 2: log pseudo-likelihood = -77.161263 Iteration 3: log pseudo-likelihood = -76.818834 Iteration 4: log pseudo-likelihood = -76.813035 Iteration 5: log pseudo-likelihood = -76.813032 Logit estimates Number of obs = 487 Wald chi2(7) = 22.66 Prob > chi2 = 0.0020 Log pseudo-likelihood = -76.813032 Pseudo R2 = 0.1710 (standard errors adjusted for clustering on state) ------------------------------------------------------------------------------ | Robust onset | Coef. Std. Err. z P>|z| [95% Conf. Interval] -------------+---------------------------------------------------------------- Ldemo | .3469931 .2304059 1.51 0.132 -.1045941 .7985803 Ldemo2 | -.0104099 .0105517 -0.99 0.324 -.0310909 .0102711 Llrgdpch | -1.054943 .4772179 -2.21 0.027 -1.990273 -.1196129 mtnest | .0178541 .0080909 2.21 0.027 .0019962 .033712 lpop | -.3282955 .191152 -1.72 0.086 -.7029464 .0463555 Llopenc | -1.369737 .7524768 -1.82 0.069 -2.844564 .1050906 LcTRADE | 1.047813 .3844049 2.73 0.006 .294393 1.801233 _cons | 10.19867 5.191898 1.96 0.049 .0227329 20.3746 ------------------------------------------------------------------------------ . testparm Ldemo* ( 1) Ldemo = 0 ( 2) Ldemo2 = 0 chi2( 2) = 9.15 Prob > chi2 = 0.0103 . . *column 2 . logit onset Ldemo Ldemo2 Llrgdpch mtnest lpop Llopenc LcTRADE, robust cluster(state) Iteration 0: log pseudo-likelihood = -200.99667 Iteration 1: log pseudo-likelihood = -189.38593 Iteration 2: log pseudo-likelihood = -186.3207 Iteration 3: log pseudo-likelihood = -186.26056 Iteration 4: log pseudo-likelihood = -186.26052 Logit estimates Number of obs = 1360 Wald chi2(7) = 21.39 Prob > chi2 = 0.0032 Log pseudo-likelihood = -186.26052 Pseudo R2 = 0.0733 (standard errors adjusted for clustering on state) ------------------------------------------------------------------------------ | Robust onset | Coef. Std. Err. z P>|z| [95% Conf. Interval] -------------+---------------------------------------------------------------- Ldemo | .3052226 .1566384 1.95 0.051 -.0017831 .6122283 Ldemo2 | -.0114589 .0069793 -1.64 0.101 -.0251381 .0022203 Llrgdpch | -.5066039 .204764 -2.47 0.013 -.907934 -.1052739 mtnest | .0101176 .0062402 1.62 0.105 -.002113 .0223482 lpop | -.0787312 .1332558 -0.59 0.555 -.3399078 .1824453 Llopenc | -.4445767 .5074167 -0.88 0.381 -1.439095 .5499417 LcTRADE | .5609511 .254567 2.20 0.028 .062009 1.059893 _cons | 1.488358 3.143656 0.47 0.636 -4.673095 7.64981 ------------------------------------------------------------------------------ . . *column 3 . logit onset Ldemo Ldemo2 Llrgdpch mtnest lpop LncIMFflows Llopenc LcTRADE if Afrika==1, robust c > luster(state) Iteration 0: log pseudo-likelihood = -85.418004 Iteration 1: log pseudo-likelihood = -74.439055 Iteration 2: log pseudo-likelihood = -69.433007 Iteration 3: log pseudo-likelihood = -69.120615 Iteration 4: log pseudo-likelihood = -69.114084 Iteration 5: log pseudo-likelihood = -69.114079 Logit estimates Number of obs = 404 Wald chi2(8) = 19.87 Prob > chi2 = 0.0109 Log pseudo-likelihood = -69.114079 Pseudo R2 = 0.1909 (standard errors adjusted for clustering on state) ------------------------------------------------------------------------------ | Robust onset | Coef. Std. Err. z P>|z| [95% Conf. Interval] -------------+---------------------------------------------------------------- Ldemo | .3381128 .2240504 1.51 0.131 -.1010179 .7772435 Ldemo2 | -.0095655 .0103604 -0.92 0.356 -.0298715 .0107405 Llrgdpch | -.9689633 .4263061 -2.27 0.023 -1.804508 -.1334187 mtnest | .0157864 .0082435 1.92 0.055 -.0003706 .0319434 lpop | -.2082811 .1960287 -1.06 0.288 -.5924904 .1759281 LncIMFflows | 7.421151 10.18985 0.73 0.466 -12.55058 27.39288 Llopenc | -1.449709 .7279304 -1.99 0.046 -2.876427 -.0229921 LcTRADE | 1.085094 .3994124 2.72 0.007 .3022597 1.867927 _cons | 8.994062 5.213864 1.73 0.085 -1.224924 19.21305 ------------------------------------------------------------------------------ . . *column 4 . logit onset Ldemo Ldemo2 Llrgdpch mtnest lpop LcIMFflows Llopenc LcTRADE if Afrika==1, robust c > luster(state) Iteration 0: log pseudo-likelihood = -89.669268 Iteration 1: log pseudo-likelihood = -79.655456 Iteration 2: log pseudo-likelihood = -75.206289 Iteration 3: log pseudo-likelihood = -74.999089 Iteration 4: log pseudo-likelihood = -74.997094 Iteration 5: log pseudo-likelihood = -74.997094 Logit estimates Number of obs = 429 Wald chi2(8) = 19.79 Prob > chi2 = 0.0112 Log pseudo-likelihood = -74.997094 Pseudo R2 = 0.1636 (standard errors adjusted for clustering on state) ------------------------------------------------------------------------------ | Robust onset | Coef. Std. Err. z P>|z| [95% Conf. Interval] -------------+---------------------------------------------------------------- Ldemo | .2777851 .2274624 1.22 0.222 -.1680331 .7236032 Ldemo2 | -.0074836 .0106593 -0.70 0.483 -.0283755 .0134083 Llrgdpch | -1.002843 .5101009 -1.97 0.049 -2.002622 -.0030631 mtnest | .0161174 .0078726 2.05 0.041 .0006875 .0315473 lpop | -.2133668 .1946898 -1.10 0.273 -.5949517 .1682182 LcIMFflows | -2.095642 3.725461 -0.56 0.574 -9.397412 5.206128 Llopenc | -1.48948 .7324056 -2.03 0.042 -2.924969 -.0539918 LcTRADE | 1.0538 .3894966 2.71 0.007 .2904008 1.817199 _cons | 9.689793 5.719043 1.69 0.090 -1.519326 20.89891 ------------------------------------------------------------------------------ . . *TEST - FOOTNOTE 4 . logit onset Ldemo Llrgdpch mtnest lpop Llopenc LcTRADE if Afrika==1, robust cluster(state) Iteration 0: log pseudo-likelihood = -92.661829 Iteration 1: log pseudo-likelihood = -82.928155 Iteration 2: log pseudo-likelihood = -77.622937 Iteration 3: log pseudo-likelihood = -77.307162 Iteration 4: log pseudo-likelihood = -77.301621 Iteration 5: log pseudo-likelihood = -77.301617 Logit estimates Number of obs = 487 Wald chi2(6) = 22.71 Prob > chi2 = 0.0009 Log pseudo-likelihood = -77.301617 Pseudo R2 = 0.1658 (standard errors adjusted for clustering on state) ------------------------------------------------------------------------------ | Robust onset | Coef. Std. Err. z P>|z| [95% Conf. Interval] -------------+---------------------------------------------------------------- Ldemo | .1184238 .0433022 2.73 0.006 .0335531 .2032946 Llrgdpch | -1.119373 .4985136 -2.25 0.025 -2.096442 -.1423048 mtnest | .0180618 .0082018 2.20 0.028 .0019865 .0341371 lpop | -.2895201 .1890918 -1.53 0.126 -.6601332 .081093 Llopenc | -1.35609 .778962 -1.74 0.082 -2.882827 .1706478 LcTRADE | 1.042094 .3848455 2.71 0.007 .2878108 1.796377 _cons | 11.07669 5.255605 2.11 0.035 .775897 21.37749 ------------------------------------------------------------------------------ . . *TESTS - FOOTNOTE 5 . *ethnic fractionalization . logit onset Ldemo Ldemo2 Llrgdpch mtnest ethfrac lpop Llopenc LcTRADE if Afrika==1, robust cluste > r(state) Iteration 0: log pseudo-likelihood = -92.661829 Iteration 1: log pseudo-likelihood = -81.969106 Iteration 2: log pseudo-likelihood = -75.347594 Iteration 3: log pseudo-likelihood = -74.97904 Iteration 4: log pseudo-likelihood = -74.974112 Iteration 5: log pseudo-likelihood = -74.97411 Logit estimates Number of obs = 487 Wald chi2(8) = 25.35 Prob > chi2 = 0.0014 Log pseudo-likelihood = -74.97411 Pseudo R2 = 0.1909 (standard errors adjusted for clustering on state) ------------------------------------------------------------------------------ | Robust onset | Coef. Std. Err. z P>|z| [95% Conf. Interval] -------------+---------------------------------------------------------------- Ldemo | .2665124 .2213486 1.20 0.229 -.1673228 .7003476 Ldemo2 | -.0059157 .010006 -0.59 0.554 -.0255272 .0136958 Llrgdpch | -.7473966 .4172529 -1.79 0.073 -1.565197 .0704041 mtnest | .043454 .0166781 2.61 0.009 .0107655 .0761424 ethfrac | 2.752428 1.58246 1.74 0.082 -.3491373 5.853993 lpop | -.4709112 .1936435 -2.43 0.015 -.8504454 -.091377 Llopenc | -1.446043 .7469807 -1.94 0.053 -2.910098 .0180125 LcTRADE | 1.067439 .3747723 2.85 0.004 .3328993 1.80198 _cons | 7.657651 4.396897 1.74 0.082 -.9601085 16.27541 ------------------------------------------------------------------------------ . gen ethfrac2=ethfrac^2 (1132 missing values generated) . logit onset Ldemo Ldemo2 Llrgdpch mtnest ethfrac ethfrac2 lpop Llopenc LcTRADE if Afrika==1, robu > st cluster(state) Iteration 0: log pseudo-likelihood = -92.661829 Iteration 1: log pseudo-likelihood = -82.502387 Iteration 2: log pseudo-likelihood = -74.792866 Iteration 3: log pseudo-likelihood = -74.359926 Iteration 4: log pseudo-likelihood = -74.351489 Iteration 5: log pseudo-likelihood = -74.351482 Logit estimates Number of obs = 487 Wald chi2(9) = 33.30 Prob > chi2 = 0.0001 Log pseudo-likelihood = -74.351482 Pseudo R2 = 0.1976 (standard errors adjusted for clustering on state) ------------------------------------------------------------------------------ | Robust onset | Coef. Std. Err. z P>|z| [95% Conf. Interval] -------------+---------------------------------------------------------------- Ldemo | .2295921 .2495712 0.92 0.358 -.2595584 .7187426 Ldemo2 | -.0046603 .0112264 -0.42 0.678 -.0266637 .017343 Llrgdpch | -.9708158 .4773266 -2.03 0.042 -1.906359 -.035273 mtnest | .0492278 .0155552 3.16 0.002 .01874 .0797155 ethfrac | 8.303234 4.710788 1.76 0.078 -.9297408 17.53621 ethfrac2 | -5.558325 4.966566 -1.12 0.263 -15.29261 4.175965 lpop | -.4304204 .1931329 -2.23 0.026 -.808954 -.0518868 Llopenc | -1.482248 .6885185 -2.15 0.031 -2.83172 -.1327771 LcTRADE | 1.118535 .3775354 2.96 0.003 .3785792 1.858491 _cons | 8.193483 4.588922 1.79 0.074 -.8006392 17.18761 ------------------------------------------------------------------------------ . . *Ellingsen . logit onset Ldemo Ldemo2 Llrgdpch mtnest lpop inumlinggroups Llopenc LcTRADE if Afrika==1, robus > t cluster(state) Iteration 0: log pseudo-likelihood = -81.636446 Iteration 1: log pseudo-likelihood = -73.641391 Iteration 2: log pseudo-likelihood = -67.139752 Iteration 3: log pseudo-likelihood = -66.824363 Iteration 4: log pseudo-likelihood = -66.820619 Iteration 5: log pseudo-likelihood = -66.820617 Logit estimates Number of obs = 446 Wald chi2(8) = 24.41 Prob > chi2 = 0.0020 Log pseudo-likelihood = -66.820617 Pseudo R2 = 0.1815 (standard errors adjusted for clustering on state) ------------------------------------------------------------------------------ | Robust onset | Coef. Std. Err. z P>|z| [95% Conf. Interval] -------------+---------------------------------------------------------------- Ldemo | .0673626 .2460313 0.27 0.784 -.4148499 .549575 Ldemo2 | .0015012 .0114514 0.13 0.896 -.0209431 .0239455 Llrgdpch | -.7146083 .451586 -1.58 0.114 -1.599701 .170484 mtnest | .0288799 .0115516 2.50 0.012 .0062392 .0515206 lpop | -.265021 .1889751 -1.40 0.161 -.6354054 .1053634 inumlinggr~s | .2169541 .1155681 1.88 0.060 -.0095551 .4434634 Llopenc | -1.597581 .80638 -1.98 0.048 -3.178057 -.0171056 LcTRADE | 1.153688 .4492203 2.57 0.010 .2732328 2.034144 _cons | 8.283714 4.70101 1.76 0.078 -.9300951 17.49752 ------------------------------------------------------------------------------ . logit onset Ldemo Ldemo2 Llrgdpch mtnest lpop inumethgroups Llopenc LcTRADE if Afrika==1, robust > cluster(state) Iteration 0: log pseudo-likelihood = -85.65854 Iteration 1: log pseudo-likelihood = -76.201344 Iteration 2: log pseudo-likelihood = -69.830856 Iteration 3: log pseudo-likelihood = -69.427668 Iteration 4: log pseudo-likelihood = -69.419164 Iteration 5: log pseudo-likelihood = -69.419154 Logit estimates Number of obs = 467 Wald chi2(8) = 18.91 Prob > chi2 = 0.0153 Log pseudo-likelihood = -69.419154 Pseudo R2 = 0.1896 (standard errors adjusted for clustering on state) ------------------------------------------------------------------------------ | Robust onset | Coef. Std. Err. z P>|z| [95% Conf. Interval] -------------+---------------------------------------------------------------- Ldemo | .1235182 .2746126 0.45 0.653 -.4147126 .661749 Ldemo2 | .0001314 .0125027 0.01 0.992 -.0243734 .0246362 Llrgdpch | -.9086016 .5050792 -1.80 0.072 -1.898539 .0813355 mtnest | .0254076 .0108685 2.34 0.019 .0041057 .0467095 lpop | -.3556425 .1899627 -1.87 0.061 -.7279626 .0166775 inumethgro~s | .2679437 .1555862 1.72 0.085 -.0369997 .5728872 Llopenc | -1.768317 .9145664 -1.93 0.053 -3.560834 .0242002 LcTRADE | 1.062467 .4306272 2.47 0.014 .2184538 1.906481 _cons | 10.67386 5.159176 2.07 0.039 .5620604 20.78566 ------------------------------------------------------------------------------ . logit onset Ldemo Ldemo2 Llrgdpch mtnest lpop inumrelgroups Llopenc LcTRADE if Afrika==1, robust > cluster(state) Iteration 0: log pseudo-likelihood = -92.564865 Iteration 1: log pseudo-likelihood = -82.601344 Iteration 2: log pseudo-likelihood = -76.838227 Iteration 3: log pseudo-likelihood = -76.476089 Iteration 4: log pseudo-likelihood = -76.469907 Iteration 5: log pseudo-likelihood = -76.469904 Logit estimates Number of obs = 485 Wald chi2(8) = 22.42 Prob > chi2 = 0.0042 Log pseudo-likelihood = -76.469904 Pseudo R2 = 0.1739 (standard errors adjusted for clustering on state) ------------------------------------------------------------------------------ | Robust onset | Coef. Std. Err. z P>|z| [95% Conf. Interval] -------------+---------------------------------------------------------------- Ldemo | .3734424 .2248608 1.66 0.097 -.0672768 .8141616 Ldemo2 | -.0117464 .0100748 -1.17 0.244 -.0314926 .0079998 Llrgdpch | -1.081946 .4765581 -2.27 0.023 -2.015983 -.1479092 mtnest | .0168477 .0084861 1.99 0.047 .0002152 .0334802 lpop | -.3243122 .1819182 -1.78 0.075 -.6808654 .032241 inumrelgro~s | -.3496855 .5180452 -0.68 0.500 -1.365035 .6656644 Llopenc | -1.486509 .8685767 -1.71 0.087 -3.188888 .2158701 LcTRADE | 1.073316 .412385 2.60 0.009 .265056 1.881576 _cons | 11.58564 6.424628 1.80 0.071 -1.006396 24.17768 ------------------------------------------------------------------------------ . . logit onset Ldemo Ldemo2 Llrgdpch mtnest lpop Llopenc LcTRADE nowaryrs _spline1 _spline2 _spline > 3 if Afrika==1, robust cluster(state) Iteration 0: log pseudo-likelihood = -92.661829 Iteration 1: log pseudo-likelihood = -82.381077 Iteration 2: log pseudo-likelihood = -73.01811 Iteration 3: log pseudo-likelihood = -72.322014 Iteration 4: log pseudo-likelihood = -72.290879 Iteration 5: log pseudo-likelihood = -72.290769 Logit estimates Number of obs = 487 Wald chi2(11) = 49.47 Prob > chi2 = 0.0000 Log pseudo-likelihood = -72.290769 Pseudo R2 = 0.2198 (standard errors adjusted for clustering on state) ------------------------------------------------------------------------------ | Robust onset | Coef. Std. Err. z P>|z| [95% Conf. Interval] -------------+---------------------------------------------------------------- Ldemo | .3505288 .2556719 1.37 0.170 -.1505789 .8516365 Ldemo2 | -.0107932 .0115462 -0.93 0.350 -.0334234 .011837 Llrgdpch | -1.25305 .5833251 -2.15 0.032 -2.396346 -.1097539 mtnest | .0151956 .0079137 1.92 0.055 -.000315 .0307062 lpop | -.3772722 .2196598 -1.72 0.086 -.8077975 .053253 Llopenc | -1.262495 .8553416 -1.48 0.140 -2.938933 .4139438 LcTRADE | .9199329 .3303497 2.78 0.005 .2724593 1.567406 nowaryrs | .4454111 .3380297 1.32 0.188 -.2171149 1.107937 _spline1 | .02521 .0147276 1.71 0.087 -.0036555 .0540755 _spline2 | -.0085069 .0045172 -1.88 0.060 -.0173604 .0003466 _spline3 | .0020346 .0009283 2.19 0.028 .0002152 .0038541 _cons | 11.73314 5.701414 2.06 0.040 .558576 22.90771 ------------------------------------------------------------------------------ . testparm nowaryrs _spline* ( 1) nowaryrs = 0 ( 2) _spline1 = 0 ( 3) _spline2 = 0 ( 4) _spline3 = 0 chi2( 4) = 6.94 Prob > chi2 = 0.1392 . . logit onset Ldemo Ldemo2 Llrgdpch mtnest lpop priecwdum Llopenc LcTRADE if Afrika==1, robust clus > ter(state) Iteration 0: log pseudo-likelihood = -91.007174 Iteration 1: log pseudo-likelihood = -81.373149 Iteration 2: log pseudo-likelihood = -74.43755 Iteration 3: log pseudo-likelihood = -74.043328 Iteration 4: log pseudo-likelihood = -74.036382 Iteration 5: log pseudo-likelihood = -74.036377 Logit estimates Number of obs = 454 Wald chi2(8) = 21.74 Prob > chi2 = 0.0054 Log pseudo-likelihood = -74.036377 Pseudo R2 = 0.1865 (standard errors adjusted for clustering on state) ------------------------------------------------------------------------------ | Robust onset | Coef. Std. Err. z P>|z| [95% Conf. Interval] -------------+---------------------------------------------------------------- Ldemo | .2028669 .2438196 0.83 0.405 -.2750108 .6807446 Ldemo2 | -.0027877 .0113819 -0.24 0.807 -.0250958 .0195204 Llrgdpch | -1.001623 .490351 -2.04 0.041 -1.962694 -.0405532 mtnest | .0214618 .0076176 2.82 0.005 .0065316 .0363919 lpop | -.2219527 .178215 -1.25 0.213 -.5712477 .1273422 priecwdum | -.1284437 .4747745 -0.27 0.787 -1.058985 .8020973 Llopenc | -1.362049 .7157787 -1.90 0.057 -2.76495 .0408512 LcTRADE | 1.131107 .3966707 2.85 0.004 .3536472 1.908568 _cons | 9.36526 5.073979 1.85 0.065 -.5795557 19.31008 ------------------------------------------------------------------------------ . . logit onset Ldemo Ldemo2 Llrgdpch mtnest instab lpop Llopenc LcTRADE if Afrika==1, robust cluster > (state) Iteration 0: log pseudo-likelihood = -92.661829 Iteration 1: log pseudo-likelihood = -82.791235 Iteration 2: log pseudo-likelihood = -77.135444 Iteration 3: log pseudo-likelihood = -76.774837 Iteration 4: log pseudo-likelihood = -76.768385 Iteration 5: log pseudo-likelihood = -76.768382 Logit estimates Number of obs = 487 Wald chi2(8) = 23.27 Prob > chi2 = 0.0030 Log pseudo-likelihood = -76.768382 Pseudo R2 = 0.1715 (standard errors adjusted for clustering on state) ------------------------------------------------------------------------------ | Robust onset | Coef. Std. Err. z P>|z| [95% Conf. Interval] -------------+---------------------------------------------------------------- Ldemo | .3834322 .2786595 1.38 0.169 -.1627304 .9295947 Ldemo2 | -.0117871 .0121801 -0.97 0.333 -.0356597 .0120854 Llrgdpch | -1.068742 .4762533 -2.24 0.025 -2.002181 -.1353024 mtnest | .0179125 .0082491 2.17 0.030 .0017446 .0340804 instab | -.1768911 .4328279 -0.41 0.683 -1.025218 .6714359 lpop | -.3212961 .1977681 -1.62 0.104 -.7089145 .0663222 Llopenc | -1.40109 .7724704 -1.81 0.070 -2.915104 .1129237 LcTRADE | 1.040566 .3779267 2.75 0.006 .2998436 1.781289 _cons | 10.23269 5.185345 1.97 0.048 .0695989 20.39578 ------------------------------------------------------------------------------ . . logit onset Ldemo Ldemo2 Llrgdpch mtnest lpop Llopenc LcTRADE if Afrika==1 | state==600 | state= > =615 | state==616 | state==616 | state==620 , robust cluster(state) Iteration 0: log pseudo-likelihood = -100.65409 Iteration 1: log pseudo-likelihood = -91.526985 Iteration 2: log pseudo-likelihood = -87.392163 Iteration 3: log pseudo-likelihood = -87.24084 Iteration 4: log pseudo-likelihood = -87.240185 Iteration 5: log pseudo-likelihood = -87.240185 Logit estimates Number of obs = 528 Wald chi2(7) = 20.00 Prob > chi2 = 0.0056 Log pseudo-likelihood = -87.240185 Pseudo R2 = 0.1333 (standard errors adjusted for clustering on state) ------------------------------------------------------------------------------ | Robust onset | Coef. Std. Err. z P>|z| [95% Conf. Interval] -------------+---------------------------------------------------------------- Ldemo | .334796 .2360679 1.42 0.156 -.1278886 .7974806 Ldemo2 | -.0106586 .0106399 -1.00 0.316 -.0315125 .0101953 Llrgdpch | -.4235195 .4200124 -1.01 0.313 -1.246729 .3996897 mtnest | .0173364 .0072482 2.39 0.017 .0031302 .0315425 lpop | -.1857944 .1718783 -1.08 0.280 -.5226697 .151081 Llopenc | -1.204353 .647063 -1.86 0.063 -2.472573 .0638676 LcTRADE | .9813089 .3617167 2.71 0.007 .2723572 1.690261 _cons | 4.237324 4.513144 0.94 0.348 -4.608275 13.08292 ------------------------------------------------------------------------------ . . *TESTS FOOTNOTE 6 . xtgee onset Ldemo Ldemo2 Llrgdpch mtnest lpop Llopenc LcTRADE if Afrika==1, family(bin) link(logi > t) corr(ar1) force robust nolog GEE population-averaged model Number of obs = 487 Group and time vars: state year Number of groups = 36 Link: logit Obs per group: min = 2 Family: binomial avg = 13.5 Correlation: AR(1) max = 20 Wald chi2(7) = 21.95 Scale parameter: 1 Prob > chi2 = 0.0026 (standard errors adjusted for clustering on state) ------------------------------------------------------------------------------ | Semi-robust onset | Coef. Std. Err. z P>|z| [95% Conf. Interval] -------------+---------------------------------------------------------------- Ldemo | .3525208 .2290219 1.54 0.124 -.096354 .8013956 Ldemo2 | -.0106587 .010483 -1.02 0.309 -.0312051 .0098877 Llrgdpch | -1.04159 .4737138 -2.20 0.028 -1.970052 -.1131282 mtnest | .0176681 .0080165 2.20 0.028 .001956 .0333801 lpop | -.3275102 .1923213 -1.70 0.089 -.7044531 .0494327 Llopenc | -1.364582 .7580105 -1.80 0.072 -2.850255 .1210909 LcTRADE | 1.034349 .3932792 2.63 0.009 .2635354 1.805162 _cons | 10.0607 5.202242 1.93 0.053 -.135506 20.25691 ------------------------------------------------------------------------------ . xtlogit onset Ldemo Ldemo2 Llrgdpch mtnest lpop Llopenc LcTRADE if Afrika==1, re Fitting comparison model: Iteration 0: log likelihood = -92.661829 Iteration 1: log likelihood = -82.589148 Iteration 2: log likelihood = -77.161263 Iteration 3: log likelihood = -76.818834 Iteration 4: log likelihood = -76.813035 Iteration 5: log likelihood = -76.813032 Fitting full model: tau = 0.0 log likelihood = -76.813032 tau = 0.1 log likelihood = -76.603425 tau = 0.2 log likelihood = -76.474708 tau = 0.3 log likelihood = -76.457599 tau = 0.4 log likelihood = -76.593618 Iteration 0: log likelihood = -76.457599 Iteration 1: log likelihood = -76.275564 Iteration 2: log likelihood = -76.268351 Iteration 3: log likelihood = -76.268324 Random-effects logistic regression Number of obs = 487 Group variable (i): state Number of groups = 36 Random effects u_i ~ Gaussian Obs per group: min = 2 avg = 13.5 max = 20 Wald chi2(7) = 20.32 Log likelihood = -76.268324 Prob > chi2 = 0.0049 ------------------------------------------------------------------------------ onset | Coef. Std. Err. z P>|z| [95% Conf. Interval] -------------+---------------------------------------------------------------- Ldemo | .280115 .2669264 1.05 0.294 -.2430511 .8032811 Ldemo2 | -.0070136 .0121679 -0.58 0.564 -.0308623 .0168351 Llrgdpch | -1.267835 .7386384 -1.72 0.086 -2.71554 .1798699 mtnest | .0222599 .0120171 1.85 0.064 -.0012933 .045813 lpop | -.3632541 .3161885 -1.15 0.251 -.9829723 .256464 Llopenc | -1.455927 .6052194 -2.41 0.016 -2.642135 -.2697185 LcTRADE | 1.128093 .5099825 2.21 0.027 .1285457 2.127641 _cons | 12.28678 7.151354 1.72 0.086 -1.729614 26.30318 -------------+---------------------------------------------------------------- /lnsig2u | -.4758804 1.298673 -3.021232 2.069471 -------------+---------------------------------------------------------------- sigma_u | .7882498 .5118392 .2207739 2.814362 rho | .1588609 .173534 .0145992 .7065369 ------------------------------------------------------------------------------ Likelihood-ratio test of rho=0: chibar2(01) = 1.09 Prob >= chibar2 = 0.148 . xtlogit onset Ldemo Ldemo2 Llrgdpch mtnest lpop Llopenc LcTRADE if Afrika==1, fe note: multiple positive outcomes within groups encountered. note: 21 groups (284 obs) dropped due to all positive or all negative outcomes. note: mtnest omitted due to no within-group variance. Iteration 0: log likelihood = -49.282145 Iteration 1: log likelihood = -40.243505 Iteration 2: log likelihood = -40.18105 Iteration 3: log likelihood = -40.181003 Conditional fixed-effects logistic regression Number of obs = 203 Group variable (i): state Number of groups = 15 Obs per group: min = 2 avg = 13.5 max = 20 LR chi2(6) = 19.42 Log likelihood = -40.181003 Prob > chi2 = 0.0035 ------------------------------------------------------------------------------ onset | Coef. Std. Err. z P>|z| [95% Conf. Interval] -------------+---------------------------------------------------------------- Ldemo | -.1336337 .3587 -0.37 0.709 -.8366727 .5694053 Ldemo2 | .0133674 .0165998 0.81 0.421 -.0191675 .0459024 Llrgdpch | -.9737847 1.948283 -0.50 0.617 -4.792349 2.844779 lpop | -.6336007 2.147324 -0.30 0.768 -4.842279 3.575078 Llopenc | -2.004714 .9957781 -2.01 0.044 -3.956403 -.0530247 LcTRADE | 1.281414 .6024471 2.13 0.033 .1006395 2.462189 ------------------------------------------------------------------------------ . relogit onset Ldemo Ldemo2 Llrgdpch mtnest lpop Llopenc LcTRADE if Afrika==1 (2374 missing values generated) Corrected logit estimates Number of obs = 487 ------------------------------------------------------------------------------ | Robust onset | Coef. Std. Err. z P>|z| [95% Conf. Interval] -------------+---------------------------------------------------------------- Ldemo | .3259339 .2014758 1.62 0.106 -.0689515 .7208193 Ldemo2 | -.0096031 .009009 -1.07 0.286 -.0272603 .0080541 Llrgdpch | -.9499041 .431881 -2.20 0.028 -1.796375 -.1034328 mtnest | .0170763 .0096856 1.76 0.078 -.001907 .0360597 lpop | -.3154039 .1937399 -1.63 0.104 -.6951272 .0643194 Llopenc | -1.322376 .695245 -1.90 0.057 -2.685031 .0402794 LcTRADE | 1.008739 .434688 2.32 0.020 .1567665 1.860712 _cons | 9.469385 4.209994 2.25 0.024 1.217948 17.72082 ------------------------------------------------------------------------------ . . *TESTS - FOOTNOTE 7 . logit onset Ldemo Ldemo2 Llrgdpch mtnest lpop Lgovtcsmp Lgrgovtcsmp Llopenc LcTRADE if Afrika= > =1, robust cluster(state) Iteration 0: log pseudo-likelihood = -88.737976 Iteration 1: log pseudo-likelihood = -79.603003 Iteration 2: log pseudo-likelihood = -73.956847 Iteration 3: log pseudo-likelihood = -73.629718 Iteration 4: log pseudo-likelihood = -73.624754 Iteration 5: log pseudo-likelihood = -73.624752 Logit estimates Number of obs = 468 Wald chi2(9) = 25.71 Prob > chi2 = 0.0023 Log pseudo-likelihood = -73.624752 Pseudo R2 = 0.1703 (standard errors adjusted for clustering on state) ------------------------------------------------------------------------------ | Robust onset | Coef. Std. Err. z P>|z| [95% Conf. Interval] -------------+---------------------------------------------------------------- Ldemo | .2491882 .2191403 1.14 0.255 -.1803189 .6786954 Ldemo2 | -.0063897 .0102405 -0.62 0.533 -.0264608 .0136813 Llrgdpch | -.9905505 .4384923 -2.26 0.024 -1.84998 -.1311213 mtnest | .0185637 .0074967 2.48 0.013 .0038705 .0332569 lpop | -.257447 .1625256 -1.58 0.113 -.5759912 .0610973 Lgovtcsmp | .042498 .042121 1.01 0.313 -.0400578 .1250537 Lgrgovtcsmp | -.1404203 .6176689 -0.23 0.820 -1.351029 1.070188 Llopenc | -1.673344 .8235807 -2.03 0.042 -3.287533 -.0591556 LcTRADE | 1.175881 .4295792 2.74 0.006 .3339211 2.017841 _cons | 10.11088 4.979069 2.03 0.042 .3520859 19.86968 ------------------------------------------------------------------------------ . logit onset Ldemo Ldemo2 Llrgdpch mtnest lpop Lmilex Lgrmilex Llopenc LcTRADE if Afrika==1, ro > bust cluster(state) Iteration 0: log pseudo-likelihood = -87.397941 Iteration 1: log pseudo-likelihood = -75.856284 Iteration 2: log pseudo-likelihood = -69.451315 Iteration 3: log pseudo-likelihood = -68.76894 Iteration 4: log pseudo-likelihood = -68.740059 Iteration 5: log pseudo-likelihood = -68.739928 Logit estimates Number of obs = 441 Wald chi2(9) = 22.77 Prob > chi2 = 0.0067 Log pseudo-likelihood = -68.739928 Pseudo R2 = 0.2135 (standard errors adjusted for clustering on state) ------------------------------------------------------------------------------ | Robust onset | Coef. Std. Err. z P>|z| [95% Conf. Interval] -------------+---------------------------------------------------------------- Ldemo | .5603482 .3125529 1.79 0.073 -.0522443 1.172941 Ldemo2 | -.0199286 .0135429 -1.47 0.141 -.0464723 .0066151 Llrgdpch | -1.163062 .6044408 -1.92 0.054 -2.347745 .0216198 mtnest | .0193657 .0090619 2.14 0.033 .0016046 .0371267 lpop | -.3915514 .2438587 -1.61 0.108 -.8695057 .0864028 Lmilex | -5.20e-07 1.21e-06 -0.43 0.668 -2.90e-06 1.86e-06 Lgrmilex | -1.056861 .7031715 -1.50 0.133 -2.435051 .3213304 Llopenc | -1.631314 .8735617 -1.87 0.062 -3.343464 .0808352 LcTRADE | 1.389979 .4885508 2.85 0.004 .4324371 2.347521 _cons | 11.72713 6.086194 1.93 0.054 -.2015964 23.65585 ------------------------------------------------------------------------------ . logit onset Ldemo Ldemo2 Llrgdpch mtnest lpop Lmilper Lgrmilper Llopenc LcTRADE if Afrika==1, r > obust cluster(state) Iteration 0: log pseudo-likelihood = -89.448612 Iteration 1: log pseudo-likelihood = -79.605296 Iteration 2: log pseudo-likelihood = -73.517142 Iteration 3: log pseudo-likelihood = -73.06034 Iteration 4: log pseudo-likelihood = -73.048225 Iteration 5: log pseudo-likelihood = -73.048208 Logit estimates Number of obs = 483 Wald chi2(9) = 41.57 Prob > chi2 = 0.0000 Log pseudo-likelihood = -73.048208 Pseudo R2 = 0.1834 (standard errors adjusted for clustering on state) ------------------------------------------------------------------------------ | Robust onset | Coef. Std. Err. z P>|z| [95% Conf. Interval] -------------+---------------------------------------------------------------- Ldemo | .4043247 .2364459 1.71 0.087 -.0591007 .8677501 Ldemo2 | -.0133973 .0108513 -1.23 0.217 -.0346655 .0078709 Llrgdpch | -1.050177 .4976213 -2.11 0.035 -2.025497 -.0748567 mtnest | .0185815 .0082963 2.24 0.025 .0023211 .034842 lpop | -.0727175 .2306967 -0.32 0.753 -.5248747 .3794397 Lmilper | -.0091799 .0095531 -0.96 0.337 -.0279038 .0095439 Lgrmilper | .5762388 .3596201 1.60 0.109 -.1286036 1.281081 Llopenc | -1.457674 .7514453 -1.94 0.052 -2.93048 .0151314 LcTRADE | 1.162565 .4247275 2.74 0.006 .3301147 1.995016 _cons | 8.118201 5.041619 1.61 0.107 -1.763192 17.99959 ------------------------------------------------------------------------------ . . . end of do-file . log close log: C:\Dokumente und Einstellungen\Margit\Desktop\DatenAnalysen\Analysen\KonfliktAfrika\BSWtes > tsEJIR2005.log log type: text closed on: 10 Jan 2005, 17:52:57 -------------------------------------------------------------------------------------------------------