<p>------log: K:\Pakistan.log opened on: 26 Jul 2006, 09:05:02</p><p>. . *Dropping Pakistan . drop if ccode==725980 (10 observations deleted)</p><p>. . . . *Descriptive stats after dropping . tabstat rimp immig gdp gdpau gdpdefnew gdpdfau pop popau xrate1 remote dist op > en english gdpdfrationew white whitemg, stat(n mean sd median min max) col(sta > t)</p><p> variable | N mean sd p50 min max ------+------rimp | 1000 490214.1 1561460 7348 0 1.39e+07 immig | 1000 33380.05 117059 2790 0 1137050 gdp | 1000 2.78e+11 9.70e+11 1.63e+10 1.92e+08 8.99e+12 gdpau | 1000 3.83e+11 4.44e+10 3.80e+11 3.19e+11 4.52e+11 gdpdefnew | 1000 105.6474 16.94248 102.6773 60.87417 207.3465 gdpdfau | 1000 100.7173 4.633489 100.8223 94.42464 109.9797 pop | 1000 4.84e+07 1.54e+08 1.02e+07 41000 1.26e+09 popau | 1000 1.82e+07 612793.8 1.82e+07 1.73e+07 1.92e+07 xrate1 | 1000 1042.878 10901.73 13.89535 .0068 270182.6 remote | 1000 6737.327 4146.125 6781.5 1293 39620 dist | 1000 13393.93 3523.984 14305 2409 17972 open | 1000 .7118243 .388296 .63975 .0671 3.2192 english | 1000 .37 .4830459 0 0 1 gdpdfratio~w | 1000 1.05198 .181411 1.015772 .5844526 2.009028 white | 1000 .13 .3364717 0 0 1 whitemg | 1000 20501.65 116468.1 0 0 1137050 ------. sort white</p><p>. *IIIB. Descriptives Original Unites(sub sample for "white" and "non-white" cou > ntries)--RHS Variables: . by white: tabstat rimp immig gdp gdpau gdpdefnew gdpdfau pop popau xrate1 remo > te dist phone open english gdpdfrationew white whitemg, stat(n mean sd median > min max) col(stat) </p><p>------> white = 0</p><p> variable | N mean sd p50 min max ------+------rimp | 870 403816.4 1597827 2944.5 0 1.39e+07 immig | 870 14802.76 27161.93 1403.5 0 158613 gdp | 870 2.37e+11 1.00e+12 1.00e+10 1.92e+08 8.99e+12 gdpau | 870 3.83e+11 4.44e+10 3.80e+11 3.19e+11 4.52e+11 gdpdefnew | 870 104.7673 17.30115 101.6138 60.87417 207.3465 gdpdfau | 870 100.7173 4.633836 100.8223 94.42464 109.9797 pop | 870 5.21e+07 1.64e+08 1.03e+07 41000 1.26e+09 popau | 870 1.82e+07 612839.6 1.82e+07 1.73e+07 1.92e+07 xrate1 | 870 1182.717 11681.76 21.4805 .0068 270182.6 remote | 870 7163.397 4116.625 6955 1293 39620 dist | 870 13227.97 3413.332 14051 2410 17972 phone | 870 159.1675 241.9386 49.865 .54 1449.75 open | 870 .7197768 .4095809 .63975 .0671 3.2192 english | 870 .3793103 .4854945 0 0 1 gdpdfratio~w | 870 1.043464 .1863076 1 .5844526 2.009028 white | 870 0 0 0 0 0 whitemg | 870 0 0 0 0 0 ------</p><p>------> white = 1</p><p> variable | N mean sd p50 min max ------+------rimp | 130 1068414 1138347 522863.5 40432 3843839 immig | 130 157705 288518.8 21174 2612 1137050 gdp | 130 5.56e+11 6.58e+11 2.54e+11 5.15e+10 2.69e+12 gdpau | 130 3.83e+11 4.46e+10 3.80e+11 3.19e+11 4.52e+11 gdpdefnew | 130 111.5379 12.89742 112.2247 85.45601 143.9587 gdpdfau | 130 100.7173 4.649088 100.8223 94.42464 109.9797 pop | 130 2.34e+07 2.55e+07 8837000 3477200 8.22e+07 popau | 130 1.82e+07 614856.7 1.82e+07 1.73e+07 1.92e+07 xrate1 | 130 107.0323 293.6987 4.4722 .3774 1261.556 remote | 130 3885.938 3089.96 2888 1530 12501 dist | 130 14504.62 4031.974 15931 2409 17493 phone | 130 734.716 269.9717 652.085 343.99 1487.08 open | 130 .6586038 .1850905 .64065 .3517 1.2967 english | 130 .3076923 .4633239 0 0 1 gdpdfratio~w | 130 1.108974 .1314272 1.116445 .8254872 1.441221 white | 130 1 0 1 1 1 whitemg | 130 157705 288518.8 21174 2612 1137050 ------</p><p>. . . **Regression of Imports . tsset ccode year panel variable: ccode, 117100 to 725400</p><p> time variable: year, 1991 to 2000</p><p>. . **I. Aggregate Imports . xtgls lrimp limmig lgdp lgdpau lgdpdfrationew lpopau lpop lxrate1 lremo > te ldist lopen english white lwhitemg, igls panels(hetero)corr(psar1)nolog</p><p>Cross-sectional time-series FGLS regression</p><p>Coefficients: generalized least squares Panels: heteroskedastic Correlation: panel-specific AR(1)</p><p>Estimated covariances = 100 Number of obs = 1000 Estimated autocorrelations = 100 Number of groups = 100 Estimated coefficients = 14 Time periods = 10 Wald chi2(13) = 9304.35 Log likelihood = -552.2944 Prob > chi2 = 0.0000</p><p>------lrimp | Coef. Std. Err. z P>|z| [95% Conf. Interval] ------+------limmig | .333465 .0308035 10.83 0.000 .2730911 .3938388 lgdp | 1.196697 .0334987 35.72 0.000 1.131041 1.262354 lgdpau | .2107204 .6035745 0.35 0.727 -.972264 1.393705 lgdpdfrati~w | -.942523 .2444231 -3.86 0.000 -1.421583 -.4634626 lpopau | -2.747881 2.082205 -1.32 0.187 -6.828928 1.333166 lpop | -.0007185 .0415135 -0.02 0.986 -.0820833 .0806464 lxrate1 | -.1309302 .0162195 -8.07 0.000 -.1627199 -.0991404 lremote | -.3994702 .0777421 -5.14 0.000 -.5518419 -.2470985 ldist | -2.098281 .159826 -13.13 0.000 -2.411535 -1.785028 lopen | .2732215 .0561184 4.87 0.000 .1632314 .3832115 english | .8449816 .1328083 6.36 0.000 .584682 1.105281 white | 4.455416 .5741121 7.76 0.000 3.330177 5.580655 lwhitemg | -.4134045 .0508341 -8.13 0.000 -.5130376 -.3137715 _cons | 42.27962 19.16987 2.21 0.027 4.707376 79.85187 ------</p><p>. vce</p><p>| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1 ------+------limmig | .000949 lgdp | -.000292 .001122 lgdpau | -.000943 .001356 .364302 lgdpdfrati~w | -.000826 .00013 -.009067 .059743 lpopau | .002084 -.008113 -1.23211 .048164 4.33558 lpop | -.000156 -.000771 .000168 .000304 -.00033 .001723 lxrate1 | .000086 .000166 .000375 .000221 -.002586 -.000095 .000263 lremote | .000509 .000052 -.000607 -.001981 -.002815 -.000346 .000039 ldist | .001679 .001218 .000799 -.001391 -.015669 -.000343 .0016 lopen | -.000161 .000603 .002376 .00077 -.016714 .000389 .000175 english | -.001268 .002892 .003065 .002477 -.010458 -.00137 .000626 white | .004556 -.002578 .002903 -.009599 -.023075 .005436 .000335 lwhitemg | -.000565 .000227 -.000268 .000898 .002609 -.000437 -.000058 _cons | -.027332 .072935 10.8605 -.596516 -39.3047 -.000187 .013432</p><p>| lremote ldist lopen english white lwhitemg _cons ------+------lremote | .006044 ldist | .004686 .025544 lopen | .001385 .001081 .003149 english | -.003807 .002838 -.000883 .017638 white | .000196 -.004059 .000265 -.0025 .329605 lwhitemg | .000118 -.000245 -.00011 .000377 -.028688 .002584 _cons | -.028729 -.081553 .174526 .048125 .279987 -.028994 367.484</p><p>. . **II. Conservative Estimates . *2.1. Aggregate reference priced Imports (conservative) . xtgls lrrefp_cm limmig lgdp lgdpau lgdpdfrationew lpopau lpop lxrate1 l > remote ldist lopen english white lwhitemg, igls panels(hetero)corr(psar1)nolog</p><p>Cross-sectional time-series FGLS regression</p><p>Coefficients: generalized least squares Panels: heteroskedastic Correlation: panel-specific AR(1)</p><p>Estimated covariances = 100 Number of obs = 1000 Estimated autocorrelations = 100 Number of groups = 100 Estimated coefficients = 14 Time periods = 10 Wald chi2(13) = 65094.45 Log likelihood = -967.4933 Prob > chi2 = 0.0000</p><p>------lrrefp_cm | Coef. Std. Err. z P>|z| [95% Conf. Interval] ------+------limmig | .0547223 .0143253 3.82 0.000 .0266452 .0827994 lgdp | 1.579226 .0518734 30.44 0.000 1.477556 1.680896 lgdpau | .8550646 .3654105 2.34 0.019 .1388732 1.571256 lgdpdfrati~w | -.4259547 .1518781 -2.80 0.005 -.7236303 -.1282791 lpopau | -6.286913 1.234534 -5.09 0.000 -8.706556 -3.867271 lpop | -.2988475 .0853961 -3.50 0.000 -.4662209 -.1314742 lxrate1 | -.1218605 .0204233 -5.97 0.000 -.1618895 -.0818316 lremote | -.9883782 .0952529 -10.38 0.000 -1.175071 -.8016859 ldist | -3.325703 .1635502 -20.33 0.000 -3.646255 -3.00515 lopen | -.0512752 .0272873 -1.88 0.060 -.1047574 .0022069 english | 1.004399 .0841359 11.94 0.000 .839496 1.169303 white | 5.068046 .7604027 6.66 0.000 3.577684 6.558408 lwhitemg | -.4993986 .0724079 -6.90 0.000 -.6413155 -.3574816 _cons | 95.80512 11.58629 8.27 0.000 73.09641 118.5138 ------</p><p>. vce</p><p>| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1 ------+------limmig | .000205 lgdp | -.00028 .002691 lgdpau | -.0013 .001817 .133525 lgdpdfrati~w | -.000619 .000478 -.01245 .023067 lpopau | .005121 -.007549 -.441919 .025676 1.52407 lpop | .000172 -.004172 -.001438 .000564 .004161 .007293 lxrate1 | -.000028 .000297 -.000024 .00039 -.003227 -.000332 .000417 lremote | .000444 .000539 -.006554 -.003336 .023097 -.001505 .000092 ldist | .000643 -.001067 -.006511 -.001601 .016225 .001757 .000585 lopen | .000047 -.000103 -.000996 .00096 .003649 .000272 -.000074 english | -.000447 .00031 .003274 .002577 -.021063 .000328 .001122 white | .001256 -.013576 -.010278 -.003199 .041922 .020653 -.001154 lwhitemg | -.000102 .000765 .000443 .000149 -.002799 -.001085 .000153 _cons | -.057538 .087441 3.947 -.094208 -13.9818 -.054787 .044552</p><p>| lremote ldist lopen english white lwhitemg _cons ------+------lremote | .009073 ldist | .004387 .026749 lopen | .000619 .000233 .000745 english | -.002596 .002099 -.000403 .007079 white | .004267 -.02606 .00182 -.002411 .578212 lwhitemg | .000195 .003459 -.000138 .000435 -.053628 .005243 _cons | -.320684 -.403401 -.044697 .249007 -.224116 -.001148 134.242</p><p>. . . *2.2. Aggregate Differentiated Imports (conservative) . xtgls lrdiff_cm limmig lgdp lgdpau lgdpdfrationew lpopau lpop lxrate1 l > remote ldist lopen english white lwhitemg, igls panels(hetero)corr(psar1)nolog Cross-sectional time-series FGLS regression</p><p>Coefficients: generalized least squares Panels: heteroskedastic Correlation: panel-specific AR(1)</p><p>Estimated covariances = 100 Number of obs = 1000 Estimated autocorrelations = 100 Number of groups = 100 Estimated coefficients = 14 Time periods = 10 Wald chi2(13) = 7787.66</p><p>Log likelihood = -931.516 Prob > chi2 = 0.0000</p><p>------lrdiff_cm | Coef. Std. Err. z P>|z| [95% Conf. Interval] ------+------limmig | .1316261 .0258575 5.09 0.000 .0809464 .1823059 lgdp | 1.703276 .0708498 24.04 0.000 1.564413 1.842139 lgdpau | .0457317 .5919958 0.08 0.938 -1.114559 1.206022 lgdpdfrati~w | -.3461416 .2370389 -1.46 0.144 -.8107293 .1184461 lpopau | -2.288527 2.062723 -1.11 0.267 -6.331388 1.754335 lpop | -.5365302 .082429 -6.51 0.000 -.698088 -.3749724 lxrate1 | -.1558565 .0280036 -5.57 0.000 -.2107425 -.1009705 lremote | -.4828399 .1337129 -3.61 0.000 -.7449124 -.2207674 ldist | -3.890345 .336978 -11.54 0.000 -4.55081 -3.22988 lopen | .0805286 .0451735 1.78 0.075 -.0080099 .169067 english | 1.155934 .1485644 7.78 0.000 .8647531 1.447115 white | 10.10502 1.858847 5.44 0.000 6.461747 13.7483 lwhitemg | -.8840106 .1856857 -4.76 0.000 -1.247948 -.5200732 _cons | 52.08162 19.52563 2.67 0.008 13.81209 90.35114 ------</p><p>. vce</p><p>| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1 ------+------limmig | .000669 lgdp | -.001029 .00502 lgdpau | -.002081 .004861 .350459 lgdpdfrati~w | -.000981 .002166 -.020364 .056187 lpopau | .005565 -.02244 -1.18772 .073001 4.25482 lpop | .000687 -.00422 -.002839 -.001297 .01063 .006795 lxrate1 | .000037 .000492 .000383 .000987 -.00626 -.000753 .000784 lremote | -.000064 -.000377 -.006893 -.001606 .019115 -.001575 .000177 ldist | .002936 .005929 -.010701 -.002945 -.014635 -.00098 .001578 lopen | .000117 -.000628 .000341 .001686 -.001507 .001123 -.000215 english | -.001221 .003157 .006334 .003517 -.03586 .001971 .001962 white | .001128 -.028439 .006705 .001077 -.003212 .023918 .00415 lwhitemg | -.000101 .001528 -.001969 -.000533 .006601 -.001614 -.000428 _cons | -.054794 .147307 10.6379 -.718791 -39.2218 -.091019 .073553</p><p>| lremote ldist lopen english white lwhitemg _cons ------+------lremote | .017879 ldist | .009046 .113554 lopen | .000528 -.000656 .002041 english | -.005674 .002689 -.001563 .022071 white | .010834 -.140493 .002597 .020903 3.45531 lwhitemg | .001056 .011435 -.000149 -.002745 -.338399 .034479 _cons | -.346145 -.77286 .01408 .340101 1.34384 -.18188 381.25</p><p>. . *2.3. Aggregate Homogenous Imports (conservative) . xtgls lrhomo_cm limmig lgdp lgdpau lgdpdfrationew lpopau lpop lxrate1 l > remote ldist lopen english white lwhitemg, panels(hetero)corr(psar1)nolog</p><p>Cross-sectional time-series FGLS regression</p><p>Coefficients: generalized least squares Panels: heteroskedastic Correlation: panel-specific AR(1)</p><p>Estimated covariances = 100 Number of obs = 1000 Estimated autocorrelations = 100 Number of groups = 100 Estimated coefficients = 14 Time periods = 10 Wald chi2(13) = 3441.82 Log likelihood = -1123.315 Prob > chi2 = 0.0000</p><p>------lrhomo_cm | Coef. Std. Err. z P>|z| [95% Conf. Interval] ------+------limmig | .0948256 .037129 2.55 0.011 .022054 .1675972 lgdp | .9705443 .0766978 12.65 0.000 .8202193 1.120869 lgdpau | -.3359813 .8697802 -0.39 0.699 -2.040719 1.368756 lgdpdfrati~w | -.4304198 .3537388 -1.22 0.224 -1.123735 .2628956 lpopau | -.0735656 2.975956 -0.02 0.980 -5.906333 5.759202 lpop | -.06888 .0925027 -0.74 0.456 -.2501818 .1124219 lxrate1 | -.1344975 .0334654 -4.02 0.000 -.2000885 -.0689066 lremote | .5170112 .2297594 2.25 0.024 .0666911 .9673313 ldist | -1.564967 .3228358 -4.85 0.000 -2.197713 -.9322205 lopen | .318532 .0784715 4.06 0.000 .1647307 .4723333 english | 1.503144 .2127262 7.07 0.000 1.086208 1.920079 white | 1.155869 2.240728 0.52 0.606 -3.235876 5.547615 lwhitemg | .2210522 .1969189 1.12 0.262 -.1649017 .607006 _cons | 2.444973 28.10258 0.09 0.931 -52.63507 57.52501 ------</p><p>. vce</p><p>| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1 ------+------limmig | .001379 lgdp | -.00132 .005883 lgdpau | -.001866 .001838 .756518 lgdpdfrati~w | -.000234 .001402 -.017783 .125131 lpopau | .00314 -.009988 -2.53379 .050834 8.85632 lpop | .000402 -.005193 -.001229 -.000971 .002828 .008557 lxrate1 | .000108 .000882 .000508 .002085 -.007738 -.001165 .00112 lremote | .001184 .000044 -.026795 -.015203 .085289 .001997 -.000954 ldist | .003724 -.007562 -.019015 -.006141 .058018 .012239 -.000313 lopen | .000247 -.00116 .003835 .00292 -.023048 .003015 -.00018 english | -.002683 .001125 .006308 .004988 -.009309 -.003864 .001856 white | .003351 -.020075 .094535 .002567 -.381644 .011961 .001001 lwhitemg | -.000446 .000502 -.009907 -.001606 .041335 .000607 -.000238 _cons | -.031219 .142821 22.6063 -.33193 -81.6606 -.164416 .118316</p><p>| lremote ldist lopen english white lwhitemg _cons ------+------lremote | .052789 ldist | .018115 .104223 lopen | .002092 -.001167 .006158 english | -.010598 .015679 -.002562 .045252 white | .050935 -.021665 .006947 .019357 5.02086 lwhitemg | -.001821 .005732 -.000377 -.000623 -.430288 .038777 _cons | -1.36337 -1.65872 .254208 -.045604 3.84479 -.481989 789.755</p><p>. . **III. Liberal Estimates . *3.1. Aggregate reference priced Imports (liberal) . xtgls lrrefp_lm limmig lgdp lgdpau lgdpdfrationew lpopau lpop lxrate1 l > remote ldist lopen english white lwhitemg, igls panels(hetero)corr(psar1)nolog</p><p>Cross-sectional time-series FGLS regression</p><p>Coefficients: generalized least squares Panels: heteroskedastic Correlation: panel-specific AR(1)</p><p>Estimated covariances = 100 Number of obs = 1000 Estimated autocorrelations = 100 Number of groups = 100 Estimated coefficients = 14 Time periods = 10 Wald chi2(13) = 47389.57 Log likelihood = -896.2986 Prob > chi2 = 0.0000</p><p>------lrrefp_lm | Coef. Std. Err. z P>|z| [95% Conf. Interval] ------+------limmig | .0220022 .0130064 1.69 0.091 -.00349 .0474943 lgdp | 1.498076 .0554429 27.02 0.000 1.38941 1.606742 lgdpau | .6987369 .3401169 2.05 0.040 .03212 1.365354 lgdpdfrati~w | -.2749784 .1360125 -2.02 0.043 -.541558 -.0083988 lpopau | -6.735991 1.152803 -5.84 0.000 -8.995444 -4.476538 lpop | -.0704716 .0951375 -0.74 0.459 -.2569377 .1159945 lxrate1 | -.0503401 .0186199 -2.70 0.007 -.0868344 -.0138458 lremote | -.6378269 .1476769 -4.32 0.000 -.9272683 -.3483855 ldist | -2.374963 .1731393 -13.72 0.000 -2.714309 -2.035616 lopen | -.0512826 .0259885 -1.97 0.048 -.1022191 -.0003462 english | 1.215412 .1056349 11.51 0.000 1.008371 1.422453 white | 3.9693 .8780065 4.52 0.000 2.248439 5.690161 lwhitemg | -.2859502 .0808569 -3.54 0.000 -.4444269 -.1274736 _cons | 93.0659 10.96315 8.49 0.000 71.57852 114.5533 ------</p><p>. vce</p><p>| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1 ------+------limmig | .000169 lgdp | -.000184 .003074 lgdpau | -.000865 .002101 .11568 lgdpdfrati~w | -.000334 .000769 -.007469 .018499 lpopau | .003191 -.007271 -.383552 .011508 1.32896 lpop | .000113 -.004988 -.002002 -.000085 .004042 .009051 lxrate1 | -3.4e-06 .000236 .000013 .000475 -.002832 -.000258 .000347 lremote | -.000039 -.000997 -.011698 -.005674 .044147 .000369 -.000286 ldist | .000758 -.005753 -.004605 .001199 .003793 .010689 .000621 lopen | .000019 -.00013 -.00095 .000694 .003557 .000301 -.000072 english | -.000283 -.00029 .003259 .00283 -.018656 .000538 .000962 white | .000458 -.017426 -.015056 -.002121 .023901 .030568 .00188 lwhitemg | -.000082 .000793 .000111 -.000394 .002294 -.001583 -.00022 _cons | -.035217 .138184 3.46964 .009923 -12.326 -.149765 .040284</p><p>| lremote ldist lopen english white lwhitemg _cons ------+------lremote | .021808 ldist | -.002631 .029977 lopen | .001108 .000285 .000675 english | -.004412 .006657 -.000441 .011159 white | .015651 .03518 .001145 .007789 .770895 lwhitemg | .000997 -.002189 .00001 -.000634 -.067744 .006538 _cons | -.568505 -.253297 -.048699 .190028 -.571625 -.020319 120.191</p><p>. . *3.2. Aggregate Differentiated Imports (liberal) . xtgls lrdiff_lm limmig lgdp lgdpau lgdpdfrationew lpopau lpop lxrate1 l > remote ldist lopen english white lwhitemg, igls panels(hetero)corr(psar1)nolog</p><p>Cross-sectional time-series FGLS regression</p><p>Coefficients: generalized least squares Panels: heteroskedastic Correlation: panel-specific AR(1)</p><p>Estimated covariances = 100 Number of obs = 1000 Estimated autocorrelations = 100 Number of groups = 100 Estimated coefficients = 14 Time periods = 10 Wald chi2(13) = 8429.17 Log likelihood = -960.7135 Prob > chi2 = 0.0000 ------lrdiff_lm | Coef. Std. Err. z P>|z| [95% Conf. Interval] ------+------limmig | .2542882 .0329368 7.72 0.000 .1897332 .3188432 lgdp | 1.556601 .0728856 21.36 0.000 1.413748 1.699454 lgdpau | -.1505175 .6251184 -0.24 0.810 -1.375727 1.074692 lgdpdfrati~w | -.1180081 .2666825 -0.44 0.658 -.6406962 .40468 lpopau | -1.167207 2.189753 -0.53 0.594 -5.459044 3.12463 lpop | -.4465281 .0827356 -5.40 0.000 -.6086868 -.2843693 lxrate1 | -.1319908 .0280706 -4.70 0.000 -.1870081 -.0769735 lremote | -.3960988 .1250961 -3.17 0.002 -.6412826 -.150915 ldist | -2.96793 .3310201 -8.97 0.000 -3.616717 -2.319142 lopen | .1245979 .0506012 2.46 0.014 .0254214 .2237744 english | .8918753 .1394214 6.40 0.000 .6186145 1.165136 white | 10.41701 1.833451 5.68 0.000 6.823508 14.0105 lwhitemg | -.9316763 .1827139 -5.10 0.000 -1.289789 -.5735635 _cons | 30.06584 20.81212 1.44 0.149 -10.72516 70.85683 ------</p><p>. vce</p><p>| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1 ------+------limmig | .001085 lgdp | -.001604 .005312 lgdpau | -.00178 .003449 .390773 lgdpdfrati~w | -.001248 .002821 -.024791 .07112 lpopau | .004724 -.017534 -1.32934 .0985 4.79502 lpop | .000932 -.004447 -.001456 -.001861 .006968 .006845 lxrate1 | .00009 .00033 -.000051 .001182 -.004982 -.000634 .000788 lremote | 9.0e-06 -.000338 -.003998 -.000894 .006352 -.001276 .000163 ldist | .004789 .000822 -.010848 -.002962 -.012035 .001036 .001518 lopen | .000143 -.000732 .001755 .001576 -.008945 .001439 -.00027 english | -.00174 .003722 .002743 .004545 -.018898 .000264 .001905 white | .000241 -.025738 .013966 .001333 -.002629 .019818 .004051 lwhitemg | .000034 .001492 -.00217 -.000587 .003971 -.00132 -.00038 _cons | -.06011 .1506 11.9224 -1.05369 -44.4725 -.083911 .065685</p><p>| lremote ldist lopen english white lwhitemg _cons ------+------lremote | .015649 ldist | .009682 .109574 lopen | .000348 -.000987 .00256 english | -.004653 -.002513 -.001665 .019438 white | .010661 -.158977 .0034 .016094 3.36154 lwhitemg | .000811 .014718 -.000242 -.002148 -.329275 .033384 _cons | -.203394 -.706356 .103237 .210368 1.33349 -.166847 433.144</p><p>. . *3.3. Aggregate Homogenous Imports (liberal) . xtgls lrhomo_lm limmig lgdp lgdpau lgdpdfrationew lpopau lpop lxrate1 l > remote ldist lopen english white lwhitemg, igls panels(hetero)corr(psar1)nolog</p><p>Cross-sectional time-series FGLS regression</p><p>Coefficients: generalized least squares Panels: heteroskedastic Correlation: panel-specific AR(1)</p><p>Estimated covariances = 100 Number of obs = 1000 Estimated autocorrelations = 100 Number of groups = 100 Estimated coefficients = 14 Time periods = 10 Wald chi2(13) = 8577.75 Log likelihood = -1130.736 Prob > chi2 = 0.0000</p><p>------lrhomo_lm | Coef. Std. Err. z P>|z| [95% Conf. Interval] ------+------limmig | .0258724 .0162275 1.59 0.111 -.005933 .0576778 lgdp | 1.391809 .0501317 27.76 0.000 1.293553 1.490066 lgdpau | .6788126 .5327267 1.27 0.203 -.3653125 1.722938 lgdpdfrati~w | -.0863107 .17728 -0.49 0.626 -.4337731 .2611517 lpopau | -5.942133 1.810321 -3.28 0.001 -9.490296 -2.393969 lpop | .0092525 .0718318 0.13 0.898 -.1315353 .1500402 lxrate1 | -.0665821 .0209769 -3.17 0.002 -.107696 -.0254681 lremote | -1.0046 .1633095 -6.15 0.000 -1.324681 -.6845198 ldist | -3.395003 .2163164 -15.69 0.000 -3.818975 -2.97103 lopen | .0723221 .0440134 1.64 0.100 -.0139425 .1585868 english | 2.323113 .1403801 16.55 0.000 2.047973 2.598253 white | 3.620868 1.168372 3.10 0.002 1.3309 5.910836 lwhitemg | -.1850768 .0989061 -1.87 0.061 -.3789292 .0087756 _cons | 93.35946 17.21489 5.42 0.000 59.61888 127.1 ------</p><p>. vce</p><p>| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1 ------+------limmig | .000263 lgdp | -.000443 .002513 lgdpau | -.000223 .000409 .283798 lgdpdfrati~w | -.00055 .000649 .00269 .031428 lpopau | -.001154 .00087 -.94352 -.006971 3.27726 lpop | .000226 -.002772 -.000655 .00022 -.001133 .00516 lxrate1 | -.000027 .000241 .000451 .000639 -.002928 -.000419 .00044 lremote | .000273 .000503 -.017816 -.00171 .055324 -.000771 -.00027 ldist | .00066 .000435 -.012029 -.001767 .026491 .000172 .000252 lopen | .000081 -.00036 -.00009 .002216 .000651 .000792 -.000142 english | -.000844 .000461 .002971 .001921 -.011701 .002129 .001239 white | .000362 -.013734 -.004671 -.00038 .008121 .024532 .000062 lwhitemg | -1.6e-06 .000734 -.000886 .000119 .002962 -.001622 .000063 _cons | .022579 -.045327 8.47589 .027411 -30.3459 .020924 .035232</p><p>| lremote ldist lopen english white lwhitemg _cons ------+------lremote | .02667 ldist | .017812 .046793 lopen | .001061 .000218 .001937 english | -.004441 .001573 -.001466 .019707 white | .005226 -.016822 .00099 .034422 1.36509 lwhitemg | .001292 .003823 -1.6e-06 -.002957 -.111799 .009782 _cons | -.852145 -.744597 -.024957 .087164 .006575 -.064376 296.353</p><p>. . *IV. Aggregate NON-Manufacturing Imports (Sum of Sitc0,1,2,3,4) . xtgls lrmnmf limmig lgdp lgdpau lgdpdfrationew lpopau lpop lxrate1 lremo > te ldist lopen english white lwhitemg, panels(hetero)corr(psar1)nolog</p><p>Cross-sectional time-series FGLS regression</p><p>Coefficients: generalized least squares Panels: heteroskedastic Correlation: panel-specific AR(1)</p><p>Estimated covariances = 100 Number of obs = 1000 Estimated autocorrelations = 100 Number of groups = 100 Estimated coefficients = 14 Time periods = 10 Wald chi2(13) = 434.06 Log likelihood = -642.3889 Prob > chi2 = 0.0000</p><p>------lrmnmf | Coef. Std. Err. z P>|z| [95% Conf. Interval] ------+------limmig | .4963563 .0540233 9.19 0.000 .3904724 .6022401 lgdp | .0442924 .0907932 0.49 0.626 -.1336591 .2222438 lgdpau | -.4474098 .6989351 -0.64 0.522 -1.817297 .9224778 lgdpdfrati~w | -.3295281 .2392842 -1.38 0.168 -.7985166 .1394604 lpopau | -.0161282 2.381495 -0.01 0.995 -4.683773 4.651516 lpop | .2351958 .0970344 2.42 0.015 .0450118 .4253797 lxrate1 | -.0964411 .0261853 -3.68 0.000 -.1477634 -.0451188 lremote | .2640794 .2447363 1.08 0.281 -.215595 .7437538 ldist | -2.086463 .541524 -3.85 0.000 -3.147831 -1.025096 lopen | .0511493 .0582738 0.88 0.380 -.0630652 .1653638 english | .5674739 .2524046 2.25 0.025 .07277 1.062178 white | 12.05007 .9637423 12.50 0.000 10.16117 13.93897 lwhitemg | -1.117025 .0948345 -11.78 0.000 -1.302897 -.931153 _cons | 28.39212 22.87987 1.24 0.215 -16.45159 73.23584 ------</p><p>. vce</p><p>| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1 ------+------limmig | .002919 lgdp | -.001593 .008243 lgdpau | -.000577 -.00032 .48851 lgdpdfrati~w | -.001265 .00253 -.006683 .057257 lpopau | -.001405 -.011521 -1.61405 .018171 5.67152 lpop | -.000164 -.005533 -.000941 -.001393 .006267 .009416 lxrate1 | .000085 .000048 .000415 .001456 -.004637 -.000517 .000686 lremote | .002906 .004335 -.025126 -.007506 .056573 -.003772 .000682 ldist | .009995 -.008776 -.023406 -.002701 .001825 .014556 .001752 lopen | -.000593 .002026 -.002227 -.000083 -.001843 -.000202 -.000057 english | -.000097 .000752 .005164 .00705 -.035417 .005669 .001194 white | .015814 -.020303 .004938 -.000587 -.047272 .024162 .004258 lwhitemg | -.001561 .000468 -.001975 -.000543 .010873 -.001206 -.000266 _cons | -.063103 .151742 14.4275 -.128686 -52.084 -.204218 .045553</p><p>| lremote ldist lopen english white lwhitemg _cons ------+------lremote | .059896 ldist | .047909 .293248 lopen | .00116 -.001272 .003396 english | -.008305 .014739 .000269 .063708 white | .020515 -.022137 -.004297 .082676 .928799 lwhitemg | .000536 .006505 .000052 -.006433 -.085954 .008994 _cons | -1.30928 -2.735 .05401 .2329 .587476 -.170897 523.488</p><p>. . *V. Aggregate Manufacturing Imports (Sum of Sitc5,6,7,8,9) . xtgls lrmmfn limmig lgdp lgdpau lgdpdfrationew lpopau lpop lxrate1 lremot > e ldist lopen english white lwhitemg, igls panels(hetero)corr(psar1)nolog</p><p>Cross-sectional time-series FGLS regression</p><p>Coefficients: generalized least squares Panels: heteroskedastic Correlation: panel-specific AR(1)</p><p>Estimated covariances = 100 Number of obs = 1000 Estimated autocorrelations = 100 Number of groups = 100 Estimated coefficients = 14 Time periods = 10 Wald chi2(13) = 3352.38 Log likelihood = -604.7858 Prob > chi2 = 0.0000</p><p>------lrmmfn | Coef. Std. Err. z P>|z| [95% Conf. Interval] ------+------limmig | .1444533 .0305445 4.73 0.000 .0845872 .2043195 lgdp | .2527892 .0525462 4.81 0.000 .1498004 .3557779 lgdpau | -.1157343 .0614674 -1.88 0.060 -.2362083 .0047397 lgdpdfrati~w | -.1237062 .040486 -3.06 0.002 -.2030574 -.0443551 lpopau | 2.829892 .2538118 11.15 0.000 2.33243 3.327353 lpop | .7462456 .1151337 6.48 0.000 .5205877 .9719035 lxrate1 | -.0128801 .0078533 -1.64 0.101 -.0282724 .0025122 lremote | .1453815 .0312748 4.65 0.000 .084084 .2066789 ldist | -3.405305 .3507333 -9.71 0.000 -4.09273 -2.71788 lopen | -.0068845 .0287771 -0.24 0.811 -.0632866 .0495176 english | .5217072 .2948325 1.77 0.077 -.0561538 1.099568 white | 23.75529 2.969517 8.00 0.000 17.93514 29.57544 lwhitemg | -2.207755 .276426 -7.99 0.000 -2.749541 -1.66597 _cons | -25.05559 5.276065 -4.75 0.000 -35.39649 -14.7147 ------</p><p>. vce</p><p>| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1 ------+------limmig | .000933 lgdp | -.000522 .002761 lgdpau | -.000657 -.000456 .003778 lgdpdfrati~w | .000305 -.001093 .000766 .001639 lpopau | .00456 -.000175 -.013046 .000256 .06442 lpop | -.000224 -.002804 .001535 .000745 -.004526 .013256 lxrate1 | 6.6e-06 .000072 -.000046 .000024 .000588 -.000249 .000062 lremote | -.0003 .001144 -.00061 -.000939 -.000013 -.000935 .000033 ldist | .003422 -.000922 -.002608 .000299 .021464 .002148 -.000139 lopen | -.000326 -.000226 .000255 -.000371 -.003878 .001241 -.00015 english | -.000608 -.000974 .001115 .000493 -.005871 .005762 -.000032 white | .00301 -.008063 .002093 .002897 -.001063 .041146 -.000683 lwhitemg | -.000549 .000448 .00005 -.00019 -.002058 -.004362 .000068 _cons | -.078862 -.00196 .137079 -.009456 -.88194 -.122253 -.005574</p><p>| lremote ldist lopen english white lwhitemg _cons ------+------lremote | .000978 ldist | -.000318 .123014 lopen | .000175 -.000601 .000828 english | -.000509 .062343 .000296 .086926 white | -.003337 .041274 .002124 .064072 8.81803 lwhitemg | .000225 -.006964 -.000095 -.006007 -.80827 .076411 _cons | .00204 -1.49787 .050783 -.607712 -.913122 .160913 27.8369</p><p>. . . **VI. SITC-1 Digit Level Disaggregate Imports . xtgls lrmsitc0 limmig lgdp lgdpau lgdpdfrationew lpopau lpop lxrate1 lr > emote ldist lopen english white lwhitemg, panels(hetero)corr(psar1)nolog</p><p>Cross-sectional time-series FGLS regression</p><p>Coefficients: generalized least squares Panels: heteroskedastic Correlation: panel-specific AR(1)</p><p>Estimated covariances = 100 Number of obs = 1000 Estimated autocorrelations = 100 Number of groups = 100 Estimated coefficients = 14 Time periods = 10 Wald chi2(13) = 509.91 Log likelihood = -561.8032 Prob > chi2 = 0.0000</p><p>------lrmsitc0 | Coef. Std. Err. z P>|z| [95% Conf. Interval] ------+------limmig | .5377324 .0496872 10.82 0.000 .4403473 .6351176 lgdp | .0091381 .0784311 0.12 0.907 -.144584 .1628602 lgdpau | 2.024668 .7977712 2.54 0.011 .4610652 3.588271 lgdpdfrati~w | -.6789378 .286357 -2.37 0.018 -1.240187 -.1176884 lpopau | -9.790956 2.740717 -3.57 0.000 -15.16266 -4.419249 lpop | .2895462 .0996082 2.91 0.004 .0943177 .4847747 lxrate1 | -.1135055 .0257588 -4.41 0.000 -.1639919 -.0630191 lremote | -.0033856 .2540137 -0.01 0.989 -.5012434 .4944721 ldist | -1.553495 .3202221 -4.85 0.000 -2.181119 -.925871 lopen | .0462195 .0537993 0.86 0.390 -.0592251 .1516641 english | -.1364217 .2259035 -0.60 0.546 -.5791845 .3063411 white | 9.079791 1.090882 8.32 0.000 6.941702 11.21788 lwhitemg | -.8242028 .0967329 -8.52 0.000 -1.013796 -.6346099 _cons | 122.3561 25.97968 4.71 0.000 71.43687 173.2753 ------</p><p>. vce</p><p>| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1 ------+------limmig | .002469 lgdp | -.001472 .006151 lgdpau | .000471 -.000306 .636439 lgdpdfrati~w | -.001355 .00171 -.018198 .082 lpopau | -.006149 -.005653 -2.12504 .072596 7.51153 lpop | -.000203 -.004491 -.000782 -.000735 .00063 .009922 lxrate1 | .000174 -.000144 .000503 .000823 -.004639 -.000482 .000664 lremote | .001672 .004249 -.021887 -.012455 .06029 -.003114 .000381 ldist | .004609 .001431 -.00929 -.002796 -.01398 .005268 .000964 lopen | -.00027 .000746 .000227 -.000535 -.009688 .000556 -2.5e-06 english | -.002021 .001678 .004241 .004803 -.021053 .000388 .000876 white | .013989 -.026549 .016099 -.007581 -.075245 .03049 .005145 lwhitemg | -.001387 .00136 -.00289 -.000134 .014207 -.001769 -.00043 _cons | .051246 -.007449 18.8641 -.698261 -69.1786 -.06717 .05814</p><p>| lremote ldist lopen english white lwhitemg _cons ------+------lremote | .064523</p><p> ldist | .030962 .102542 lopen | .001211 .002179 .002894 english | -.010777 .022339 .000026 .051032 white | .017006 .010405 -.002055 .020814 1.19002 lwhitemg | .000846 -.000654 .000107 -.001231 -.10109 .009357 _cons | -1.32492 -.916488 .102262 .062047 .543804 -.149752 674.944</p><p>. xtgls lrmsitc1 limmig lgdp lgdpau lgdpdfrationew lpopau lpop lxrate1 lr > emote ldist lopen english white lwhitemg, panels(hetero)corr(psar1)nolog</p><p>Cross-sectional time-series FGLS regression</p><p>Coefficients: generalized least squares Panels: heteroskedastic Correlation: panel-specific AR(1)</p><p>Estimated covariances = 100 Number of obs = 1000 Estimated autocorrelations = 100 Number of groups = 100 Estimated coefficients = 14 Time periods = 10 Wald chi2(13) = 1578.47 Log likelihood = -325.5259 Prob > chi2 = 0.0000</p><p>------lrmsitc1 | Coef. Std. Err. z P>|z| [95% Conf. Interval] ------+------limmig | .0342547 .0161221 2.12 0.034 .0026559 .0658535 lgdp | .1807746 .0541948 3.34 0.001 .0745548 .2869945 lgdpau | -.1466135 .3288319 -0.45 0.656 -.7911122 .4978852 lgdpdfrati~w | -.4466368 .1937071 -2.31 0.021 -.8262958 -.0669778 lpopau | 2.174432 1.163688 1.87 0.062 -.1063536 4.455218 lpop | .1702289 .0691216 2.46 0.014 .0347531 .3057048 lxrate1 | -.0707856 .0180673 -3.92 0.000 -.106197 -.0353743 lremote | -.1525391 .1167223 -1.31 0.191 -.3813105 .0762323 ldist | -1.252671 .2354033 -5.32 0.000 -1.714053 -.7912887 lopen | -.0136502 .0251749 -0.54 0.588 -.0629921 .0356918 english | 2.242159 .2154777 10.41 0.000 1.819831 2.664488 white | 10.05783 1.736987 5.79 0.000 6.653399 13.46226 lwhitemg | -.7640405 .1780547 -4.29 0.000 -1.113021 -.4150597 _cons | -24.11172 11.69408 -2.06 0.039 -47.0317 -1.191733 ------</p><p>. vce</p><p>| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1 ------+------limmig | .00026 lgdp | -.00026 .002937 lgdpau | .000148 -.001149 .10813 lgdpdfrati~w | -.000434 -.00048 -.001604 .037522 lpopau | -.000958 .005426 -.369541 .021562 1.35417 lpop | .00008 -.002961 .000683 .000818 -.00585 .004778 lxrate1 | -.000016 .000172 .001138 .000653 -.005602 -.00018 .000326 lremote | .000177 .001208 -.007561 -.00334 .026059 -.000712 -.000358 ldist | .00077 .000869 -.002209 -.001402 -.001712 .002508 -.00023 lopen | .00002 -.000259 .000066 .001017 -.001487 .000332 -.00001 english | -.000262 -.002906 .003988 .002847 -.013561 .003616 .000438 white | .001285 -.022585 .01139 .002612 -.063223 .023519 .000966 lwhitemg | -.000134 .001326 -.001103 .000029 .005248 -.001511 -.000079 _cons | .006885 -.095251 3.3916 -.316278 -13.013 .052224 .065632</p><p>| lremote ldist lopen english white lwhitemg _cons ------+------lremote | .013624 ldist | .002555 .055415 lopen | -.000093 -.000177 .000634 english | -.003892 .018582 -.000242 .046431 white | .008867 -.02229 .001183 .07152 3.01712 lwhitemg | -.00023 .001095 -.000044 -.006417 -.304761 .031703 _cons | -.388418 -.52558 .02535 -.025046 .99098 -.070755 136.752</p><p>. xtgls lrmsitc2 limmig lgdp lgdpau lgdpdfrationew lpopau lpop lxrate1 lr > emote ldist lopen english white lwhitemg, panels(hetero)corr(psar1)nolog</p><p>Cross-sectional time-series FGLS regression</p><p>Coefficients: generalized least squares Panels: heteroskedastic Correlation: panel-specific AR(1)</p><p>Estimated covariances = 100 Number of obs = 1000 Estimated autocorrelations = 100 Number of groups = 100 Estimated coefficients = 14 Time periods = 10 Wald chi2(13) = 1047.13 Log likelihood = -845.3869 Prob > chi2 = 0.0000</p><p>------lrmsitc2 | Coef. Std. Err. z P>|z| [95% Conf. Interval] ------+------limmig | .1314971 .0646868 2.03 0.042 .0047133 .2582808 lgdp | .5640314 .1114663 5.06 0.000 .3455614 .7825014 lgdpau | -2.296135 1.097643 -2.09 0.036 -4.447476 -.1447937 lgdpdfrati~w | -1.050018 .4400028 -2.39 0.017 -1.912407 -.187628 lpopau | 5.139932 3.761342 1.37 0.172 -2.232162 12.51203 lpop | .1502853 .1336076 1.12 0.261 -.1115808 .4121514 lxrate1 | -.149867 .0393766 -3.81 0.000 -.2270437 -.0726902 lremote | 1.652566 .27861 5.93 0.000 1.106501 2.198632 ldist | -1.832786 .4949774 -3.70 0.000 -2.802924 -.8626478 lopen | -.0239042 .0750946 -0.32 0.750 -.1710868 .1232785 english | .232785 .2678613 0.87 0.385 -.2922135 .7577834 white | 10.52664 1.507116 6.98 0.000 7.572746 13.48053 lwhitemg | -.8067699 .1453029 -5.55 0.000 -1.091558 -.5219814 _cons | -33.19997 35.35939 -0.94 0.348 -102.5031 36.10316 ------</p><p>. vce</p><p>| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1 ------+------limmig | .004184 lgdp | -.004386 .012425 lgdpau | -.002188 .005593 1.20482 lgdpdfrati~w | -.001806 .004391 .00205 .193602 lpopau | .003814 -.027398 -4.02564 .041113 14.1477 lpop | .001547 -.011199 -.002022 -.002401 .010506 .017851 lxrate1 | .00005 .001645 .000745 .001463 -.009278 -.001598 .001551 lremote | .001617 -.002557 -.034368 -.021779 .088327 .001754 .00096 ldist | .012396 -.009995 -.009595 -.010742 -.006833 .01489 -.002404 lopen | .00037 -.000892 .00678 .000947 -.033828 .002193 -.000367 english | -.005785 .010186 .008453 .001485 -.032059 -.006236 -.000637 white | .026433 -.05551 -.041438 -.040011 .065414 .060636 .004148 lwhitemg | -.002943 .003436 -.000186 .001123 .011 -.003542 -.000685 _cons | -.083522 .333937 35.4843 -.696109 -129.479 -.304891 .130351</p><p>| lremote ldist lopen english white lwhitemg _cons ------+------lremote | .077624 ldist | .022325 .245003 lopen | .002697 .00456 .005639 english | -.005231 .026384 -.000575 .07175 white | .119077 .130238 .00294 .041919 2.2714 lwhitemg | -.004399 -.017114 -.000179 -.006332 -.208644 .021113 _cons | -1.4212 -2.22183 .305369 -.009812 -2.13191 .020653 1250.29</p><p>. xtgls lrmsitc3 limmig lgdp lgdpau lgdpdfrationew lpopau lpop lxrate1 lr > emote ldist lopen english white lwhitemg, panels(hetero)corr(psar1)nolog</p><p>Cross-sectional time-series FGLS regression</p><p>Coefficients: generalized least squares Panels: heteroskedastic Correlation: panel-specific AR(1)</p><p>Estimated covariances = 100 Number of obs = 1000 Estimated autocorrelations = 100 Number of groups = 100 Estimated coefficients = 14 Time periods = 10 Wald chi2(13) = 570.73 Log likelihood = -101.5815 Prob > chi2 = 0.0000</p><p>------lrmsitc3 | Coef. Std. Err. z P>|z| [95% Conf. Interval] ------+------limmig | .0335668 .0286749 1.17 0.242 -.022635 .0897686 lgdp | .1243859 .0584021 2.13 0.033 .0099198 .238852 lgdpau | .4136843 .4104344 1.01 0.313 -.3907523 1.218121 lgdpdfrati~w | .3658455 .1833889 1.99 0.046 .0064099 .7252811 lpopau | 2.231964 1.449032 1.54 0.123 -.6080872 5.072014 lpop | .3587446 .0764534 4.69 0.000 .2088985 .5085906 lxrate1 | -.0257266 .0169946 -1.51 0.130 -.0590353 .0075821 lremote | -.0629301 .1287876 -0.49 0.625 -.3153492 .189489 ldist | -1.937176 .4190881 -4.62 0.000 -2.758574 -1.115779 lopen | .042837 .0363118 1.18 0.238 -.0283328 .1140069 english | 1.064316 .1909724 5.57 0.000 .6900174 1.438615 white | 16.25091 1.189765 13.66 0.000 13.91902 18.58281 lwhitemg | -1.373914 .1105623 -12.43 0.000 -1.590612 -1.157216 _cons | -37.35024 14.95816 -2.50 0.013 -66.6677 -8.032781 ------</p><p>. vce</p><p>| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1 ------+------limmig | .000822 lgdp | -.000624 .003411 lgdpau | -.000461 -.000209 .168456 lgdpdfrati~w | -.000664 .000591 -.000672 .033631 lpopau | .000905 .001244 -.566353 .016181 2.09969 lpop | -.0001 -.00244 .000466 .000738 -.003334 .005845 lxrate1 | .000066 .000062 .000267 .000581 -.002907 -.000074 .000289 lremote | .000809 .001976 -.007734 -.00381 .022648 -.001382 .000033 ldist | .002774 -.003747 -.010516 -.007882 .008177 .007715 .000268 lopen | -.000034 -.000027 .000345 .00021 -.004569 .000468 -.000043 english | -.001345 -.001029 .003133 .003458 -.009054 .004988 .000294 white | .003925 -.016574 .032542 -.000907 -.268046 .023705 .003977 lwhitemg | -.000479 .000932 -.003351 -.000063 .027019 -.001827 -.000424 _cons | -.02459 -.031758 5.14234 -.200753 -20.2382 -.056142 .036328</p><p>| lremote ldist lopen english white lwhitemg _cons ------+------lremote | .016586 ldist | .017833 .175635 lopen | .000116 .000243 .001319 english | -.004636 .005655 .000078 .03647 white | -.005454 -.024351 -.000471 .046397 1.41554 lwhitemg | .000703 .00289 .000083 -.003941 -.128459 .012224 _cons | -.508835 -1.73971 .057597 -.0061 3.82802 -.381831 223.747</p><p>. xtgls lrmsitc4 limmig lgdp lgdpau lgdpdfrationew lpopau lpop lxrate1 lr > emote ldist lopen english white lwhitemg, panels(hetero)corr(psar1)nolog</p><p>Cross-sectional time-series FGLS regression</p><p>Coefficients: generalized least squares Panels: heteroskedastic Correlation: panel-specific AR(1)</p><p>Estimated covariances = 100 Number of obs = 1000 Estimated autocorrelations = 100 Number of groups = 100 Estimated coefficients = 14 Time periods = 10 Wald chi2(13) = 265.22 Log likelihood = 125.8481 Prob > chi2 = 0.0000</p><p>------lrmsitc4 | Coef. Std. Err. z P>|z| [95% Conf. Interval] ------+------limmig | -.0020844 .0189154 -0.11 0.912 -.0391579 .034989 lgdp | .2644628 .0504925 5.24 0.000 .1654993 .3634263 lgdpau | -.346454 .3554777 -0.97 0.330 -1.043177 .3502696 lgdpdfrati~w | -.0893949 .1429082 -0.63 0.532 -.3694898 .1907 lpopau | 4.41166 1.296065 3.40 0.001 1.87142 6.951901 lpop | -.0270523 .0612836 -0.44 0.659 -.1471659 .0930612 lxrate1 | -.1008065 .0152467 -6.61 0.000 -.1306896 -.0709235 lremote | .3232448 .1280654 2.52 0.012 .0722413 .5742483 ldist | -1.321496 .2802995 -4.71 0.000 -1.870873 -.7721189 lopen | .0236286 .0292906 0.81 0.420 -.03378 .0810371 english | .3403246 .1694703 2.01 0.045 .0081689 .6724803 white | 9.640792 2.110855 4.57 0.000 5.503592 13.77799 lwhitemg | -.8166832 .2022128 -4.04 0.000 -1.213013 -.4203534 _cons | -58.89299 13.76028 -4.28 0.000 -85.86265 -31.92334 ------</p><p>. vce</p><p>| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1 ------+------limmig | .000358 lgdp | -.000355 .002549 lgdpau | .000266 -.00079 .126364 lgdpdfrati~w | -.000439 .000515 -.006083 .020423 lpopau | -.002329 .004441 -.434039 .027753 1.67978 lpop | .000013 -.002127 -.000044 -.000124 -.001092 .003756 lxrate1 | 1.9e-06 -1.9e-06 .000518 .000458 -.004554 -.000096 .000232 lremote | .0003 .001633 -.007959 -.001088 .028039 -.001322 -.00006 ldist | .001624 -.001354 -.002385 -.001461 .004715 .003785 .000056 lopen | -8.7e-06 .000038 -.000077 .000155 -.001319 .000173 -.000027 english | -.000524 -.001734 .000132 .000699 .017987 .004897 .000236 white | .002224 -.015044 .020033 -.005109 -.163458 .016584 .002182 lwhitemg | -.000259 .000941 -.002327 .000487 .016522 -.001324 -.000168 _cons | .020197 -.075951 3.99833 -.308083 -16.8551 -.016987 .061967</p><p>| lremote ldist lopen english white lwhitemg _cons ------+------lremote | .016401</p><p> ldist | .007578 .078568 lopen | .000121 -.000423 .000858 english | -.001115 .014254 -.000362 .02872 white | -.000707 .006451 -.000878 .035177 4.45571 lwhitemg | .000723 -.001526 .000103 -.003233 -.420087 .04089 _cons | -.487241 -.871268 .023822 -.471375 2.18296 -.203213 189.345</p><p>. xtgls lrmsitc5 limmig lgdp lgdpau lgdpdfrationew lpopau lpop lxrate1 lr > emote ldist lopen english white lwhitemg, panels(hetero)corr(psar1)nolog</p><p>Cross-sectional time-series FGLS regression</p><p>Coefficients: generalized least squares Panels: heteroskedastic Correlation: panel-specific AR(1)</p><p>Estimated covariances = 100 Number of obs = 1000 Estimated autocorrelations = 100 Number of groups = 100 Estimated coefficients = 14 Time periods = 10 Wald chi2(13) = 475.25 Log likelihood = -665.31 Prob > chi2 = 0.0000</p><p>------lrmsitc5 | Coef. Std. Err. z P>|z| [95% Conf. Interval] ------+------limmig | .1834419 .0531438 3.45 0.001 .079282 .2876018 lgdp | .7542237 .103221 7.31 0.000 .5519143 .9565331 lgdpau | -.5844312 .6544547 -0.89 0.372 -1.867139 .6982765 lgdpdfrati~w | -.3569096 .2769951 -1.29 0.198 -.8998101 .1859908 lpopau | 3.424092 2.252284 1.52 0.128 -.9903025 7.838487 lpop | -.2898448 .1496056 -1.94 0.053 -.5830664 .0033768 lxrate1 | -.1471693 .0314641 -4.68 0.000 -.2088377 -.0855008 lremote | .1537204 .2281815 0.67 0.501 -.2935071 .600948 ldist | -3.09829 .685084 -4.52 0.000 -4.44103 -1.755551 lopen | .0390272 .0648241 0.60 0.547 -.0880256 .1660801 english | -.3795182 .4412587 -0.86 0.390 -1.244369 .485333 white | 20.07666 4.172201 4.81 0.000 11.8993 28.25403 lwhitemg | -1.807569 .3839026 -4.71 0.000 -2.560004 -1.055134 _cons | -22.90221 22.25776 -1.03 0.304 -66.52662 20.7222 ------</p><p>. vce</p><p>| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1 ------+------limmig | .002824 lgdp | -.002345 .010655 lgdpau | .001078 -.00106 .428311 lgdpdfrati~w | -.001818 .00331 -.008599 .076726 lpopau | -.007916 -.000235 -1.42381 .0545 5.07278 lpop | -.000198 -.007949 -.00154 -.001602 -.005952 .022382 lxrate1 | .000144 .000515 .001915 .001194 -.010048 -.000815 .00099 lremote | .000978 .004137 -.019664 -.012272 .037748 -.002963 .000556 ldist | .011414 .00909 -.005506 -.004091 -.046119 .006749 .000439 lopen | .000452 -.001034 -.000879 -.000228 -.010531 .001869 -.000208 english | -.00632 .001789 .001984 .006212 -.014848 .020526 .000554 white | .007143 -.034806 .124626 .023326 -.358025 .076685 .005366 lwhitemg | -.001261 .001532 -.013065 -.003393 .040501 -.005989 -.000609 _cons | .030398 -.199151 12.6506 -.656317 -46.5917 -.072201 .102842</p><p>| lremote ldist lopen english white lwhitemg _cons ------+------lremote | .052067 ldist | .029426 .46934 lopen | .000674 .003056 .004202 english | -.004765 .129383 -.001555 .194709 white | .024059 .256907 .004777 .304041 17.4073 lwhitemg | .000105 -.038896 -.000317 -.033041 -1.57465 .147381 _cons | -.888176 -4.20983 .158655 -1.37943 -.589158 .120427 495.408 . xtgls lrmsitc6 limmig lgdp lgdpau lgdpdfrationew lpopau lpop lxrate1 lr > emote ldist lopen english white lwhitemg, panels(hetero)corr(psar1)nolog</p><p>Cross-sectional time-series FGLS regression</p><p>Coefficients: generalized least squares Panels: heteroskedastic Correlation: panel-specific AR(1)</p><p>Estimated covariances = 100 Number of obs = 1000 Estimated autocorrelations = 100 Number of groups = 100 Estimated coefficients = 14 Time periods = 10 Wald chi2(13) = 891.49 Log likelihood = -568.0722 Prob > chi2 = 0.0000</p><p>------lrmsitc6 | Coef. Std. Err. z P>|z| [95% Conf. Interval] ------+------limmig | .2054213 .0460918 4.46 0.000 .1150831 .2957595 lgdp | .6530975 .1012892 6.45 0.000 .4545742 .8516207 lgdpau | .604262 .5979906 1.01 0.312 -.5677781 1.776302 lgdpdfrati~w | -.0277501 .2628814 -0.11 0.916 -.5429882 .487488 lpopau | -2.730431 2.065841 -1.32 0.186 -6.779405 1.318542 lpop | .3945373 .1332859 2.96 0.003 .1333016 .6557729 lxrate1 | -.0851489 .0276316 -3.08 0.002 -.1393058 -.030992 lremote | -.2025715 .2126816 -0.95 0.341 -.6194198 .2142768 ldist | -2.556959 .4491829 -5.69 0.000 -3.437341 -1.676577 lopen | -.060886 .0686063 -0.89 0.375 -.1953517 .0735798 english | .9587025 .3400823 2.82 0.005 .2921535 1.625252 white | 23.16812 3.101576 7.47 0.000 17.08914 29.2471 lwhitemg | -2.231873 .2757007 -8.10 0.000 -2.772237 -1.69151 _cons | 37.62398 19.99576 1.88 0.060 -1.566992 76.81495 ------</p><p>. vce</p><p>| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1 ------+------limmig | .002124 lgdp | -.001913 .01026 lgdpau | -.002217 .004723 .357593 lgdpdfrati~w | -.001594 .002562 -.007 .069107 lpopau | .006837 -.032569 -1.19401 .026382 4.2677 lpop | .00044 -.008958 -.003494 -.002245 .017001 .017765 lxrate1 | .000042 .0006 .00067 .001095 -.00595 -.000818 .000764 lremote | .000319 .003955 -.01717 -.014855 .03722 -.003278 .00058 ldist | .007145 -.002905 -.009403 -.002013 .004589 .01608 .000058 lopen | .000251 -.000062 .000188 .001705 -.011068 .001197 -.000051 english | -.003545 .002337 .006809 .005371 -.026722 .00107 .000501 white | .006495 -.037403 .015856 -.010491 -.00828 .064616 .002767 lwhitemg | -.000939 .001471 -.003018 -.00035 .009831 -.004689 -.000277 _cons | -.09881 .325967 10.6294 -.190234 -39.4359 -.391508 .071227</p><p>| lremote ldist lopen english white lwhitemg _cons ------+------lremote | .045233 ldist | .00451 .201765 lopen | .001258 .000841 .004707 english | -.007945 .055537 -.001614 .115656 white | .016877 .04223 .00428 .026364 9.61977 lwhitemg | .000744 -.008022 -.000487 -.001141 -.839811 .076011 _cons | -.629843 -2.02314 .142491 -.279001 -1.06541 .033488 399.83</p><p>. xtgls lrmsitc7 limmig lgdp lgdpau lgdpdfrationew lpopau lpop lxrate1 lr > emote ldist lopen english white lwhitemg, panels(hetero)corr(psar1)nolog</p><p>Cross-sectional time-series FGLS regression</p><p>Coefficients: generalized least squares Panels: heteroskedastic Correlation: panel-specific AR(1)</p><p>Estimated covariances = 100 Number of obs = 1000 Estimated autocorrelations = 100 Number of groups = 100 Estimated coefficients = 14 Time periods = 10 Wald chi2(13) = 1685.14 Log likelihood = -746.6368 Prob > chi2 = 0.0000</p><p>------lrmsitc7 | Coef. Std. Err. z P>|z| [95% Conf. Interval] ------+------limmig | .0749823 .0346347 2.16 0.030 .0070996 .142865 lgdp | .9884338 .0965192 10.24 0.000 .7992597 1.177608 lgdpau | 1.014372 .6997026 1.45 0.147 -.3570196 2.385764 lgdpdfrati~w | -.1118472 .2777069 -0.40 0.687 -.6561427 .4324483 lpopau | 2.933283 2.435621 1.20 0.228 -1.840445 7.707012 lpop | -.4050041 .142801 -2.84 0.005 -.6848889 -.1251193 lxrate1 | -.1570966 .0221269 -7.10 0.000 -.2004644 -.1137287 lremote | -.4106904 .1904539 -2.16 0.031 -.7839732 -.0374075 ldist | -1.666138 .7375399 -2.26 0.024 -3.111689 -.2205858 lopen | -.0661186 .0735806 -0.90 0.369 -.2103339 .0780968 english | .1593378 .3401554 0.47 0.639 -.5073546 .8260301 white | 28.52811 2.693348 10.59 0.000 23.24924 33.80697 lwhitemg | -2.660252 .2620168 -10.15 0.000 -3.173796 -2.146709 _cons | -69.02458 24.44571 -2.82 0.005 -116.9373 -21.11186 ------</p><p>. vce</p><p>| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1 ------+------limmig | .0012 lgdp | -.001934 .009316 lgdpau | -.000583 .001884 .489584 lgdpdfrati~w | -.002101 .00437 -.015293 .077121 lpopau | -.004791 -.011946 -1.63231 .056196 5.93225 lpop | .001723 -.011349 -.004827 -.004155 .029234 .020392 lxrate1 | .000045 .000325 .000375 .000782 -.00855 -.000695 .00049 lremote | .001446 .003638 -.017385 -.004775 .017002 -.002825 .000321 ldist | .007067 .011285 -.026501 -.005659 -.046284 .011602 .00119 lopen | .00032 -.000907 -.000134 .00446 -.008971 .001311 -.000336 english | -.001164 .002546 .002515 .002929 -.005526 .000998 .000764 white | .017561 -.057291 .017365 -.031888 -.331416 .070621 .008293 lwhitemg | -.001579 .003942 -.003126 .002304 .039021 -.005184 -.000815 _cons | .027191 -.018199 14.6892 -.536235 -55.515 -.510409 .118304</p><p>| lremote ldist lopen english white lwhitemg _cons ------+------lremote | .036273 ldist | .066335 .543965 lopen | .001009 .001243 .005414 english | .000554 .06246 -.001487 .115706 white | .035899 .089814 -.006404 .212963 7.25412 lwhitemg | -.002503 -.015543 .00084 -.023742 -.695376 .068653 _cons | -.81794 -4.79715 .130906 -.659327 3.94565 -.392428 597.593</p><p>. xtgls lrmsitc8 limmig lgdp lgdpau lgdpdfrationew lpopau lpop lxrate1 lr > emote ldist lopen english white lwhitemg, panels(hetero)corr(psar1)nolog</p><p>Cross-sectional time-series FGLS regression</p><p>Coefficients: generalized least squares Panels: heteroskedastic Correlation: panel-specific AR(1)</p><p>Estimated covariances = 100 Number of obs = 1000 Estimated autocorrelations = 100 Number of groups = 100 Estimated coefficients = 14 Time periods = 10 Wald chi2(13) = 499.55 Log likelihood = -585.1051 Prob > chi2 = 0.0000 ------lrmsitc8 | Coef. Std. Err. z P>|z| [95% Conf. Interval] ------+------limmig | .3958692 .0583429 6.79 0.000 .2815192 .5102192 lgdp | .2899776 .0985987 2.94 0.003 .0967278 .4832275 lgdpau | 1.189846 .7449649 1.60 0.110 -.2702581 2.649951 lgdpdfrati~w | -.5338092 .3169302 -1.68 0.092 -1.154981 .0873626 lpopau | -4.812625 2.572102 -1.87 0.061 -9.853853 .2286034 lpop | .2928665 .1066872 2.75 0.006 .0837634 .5019697 lxrate1 | -.0806736 .0344529 -2.34 0.019 -.1482 -.0131472 lremote | -.0067807 .2279472 -0.03 0.976 -.4535491 .4399876 ldist | -1.584004 .5805844 -2.73 0.006 -2.721929 -.4460799 lopen | .0986969 .0720652 1.37 0.171 -.0425483 .2399422 english | -.2483026 .2806932 -0.88 0.376 -.7984511 .3018459 white | 18.7119 2.082523 8.99 0.000 14.63023 22.79357 lwhitemg | -1.7584 .1964698 -8.95 0.000 -2.143474 -1.373326 _cons | 55.46744 24.3278 2.28 0.023 7.78582 103.1491 ------</p><p>. vce</p><p>| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1 ------+------limmig | .003404 lgdp | -.003124 .009722 lgdpau | -.0023 .006488 .554973 lgdpdfrati~w | -.002499 .005926 -.009817 .100445 lpopau | .005082 -.034948 -1.85566 .050605 6.61571 lpop | .001028 -.006404 -.004357 -.004042 .011738 .011382 lxrate1 | .000343 .000473 -.000259 .000816 -.003819 -.000639 .001187 lremote | .000195 .002955 -.009158 -.01708 -.002853 .000737 .00153 ldist | .010838 .001534 -.004431 -.009685 -.074379 .006735 .000531 lopen | -.000313 .00081 .002075 .000061 -.022787 .001658 -.000147 english | -.004034 .007667 .006569 .003249 -.029061 -.000514 -.001597 white | .022067 -.037287 -.000938 -.069043 .074835 .015014 -.000475 lwhitemg | -.002525 .001992 -.001697 .00404 .00385 -.000303 -.000281 _cons | -.093777 .261931 16.2932 -.498265 -59.8452 -.187708 .046143</p><p>| lremote ldist lopen english white lwhitemg _cons ------+------lremote | .05196</p><p> ldist | .035325 .337078 lopen | .002371 .003393 .005193 english | .006541 .090679 -.000131 .078789 white | .109911 .201541 -.008037 .131169 4.3369 lwhitemg | -.007611 -.029785 .000744 -.016 -.399995 .0386 _cons | -.574896 -2.37277 .232512 -.765133 -3.61932 .307842 591.842</p><p>. xtgls lrmsitc9 limmig lgdp lgdpau lgdpdfrationew lpopau lpop lxrate1 lr > emote ldist lopen english white lwhitemg, panels(hetero)corr(psar1)nolog</p><p>Cross-sectional time-series FGLS regression</p><p>Coefficients: generalized least squares Panels: heteroskedastic Correlation: panel-specific AR(1)</p><p>Estimated covariances = 100 Number of obs = 1000 Estimated autocorrelations = 100 Number of groups = 100 Estimated coefficients = 14 Time periods = 10 Wald chi2(13) = 1603.03 Log likelihood = -253.7841 Prob > chi2 = 0.0000</p><p>------lrmsitc9 | Coef. Std. Err. z P>|z| [95% Conf. Interval] ------+------limmig | -.0017131 .0254763 -0.07 0.946 -.0516457 .0482194 lgdp | .4220772 .0831263 5.08 0.000 .2591528 .5850017 lgdpau | -.3796476 .510409 -0.74 0.457 -1.380031 .6207357 lgdpdfrati~w | .1731189 .2299636 0.75 0.452 -.2776014 .6238392 lpopau | 1.514304 1.75952 0.86 0.389 -1.934292 4.962899 lpop | -.1857748 .1151401 -1.61 0.107 -.4114453 .0398957 lxrate1 | -.0447407 .0233078 -1.92 0.055 -.0904232 .0009418 lremote | -.0333697 .173571 -0.19 0.848 -.3735627 .3068232 ldist | -3.851521 .5142264 -7.49 0.000 -4.859387 -2.843656 lopen | .0167723 .0515051 0.33 0.745 -.0841757 .1177203 english | -.059377 .3191073 -0.19 0.852 -.6848158 .5660618 white | 16.20392 2.649187 6.12 0.000 11.01161 21.39623 lwhitemg | -1.175278 .2843688 -4.13 0.000 -1.73263 -.617925 _cons | 16.6122 17.56132 0.95 0.344 -17.80735 51.03176 ------</p><p>. vce</p><p>| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1 ------+------limmig | .000649 lgdp | -.000816 .00691 lgdpau | .000219 -.002128 .260517 lgdpdfrati~w | -.00099 .002513 -.009857 .052883 lpopau | -.001627 .000664 -.869849 .050004 3.09591 lpop | .000237 -.006248 -.000029 -.000898 -.001395 .013257 lxrate1 | -.000019 .000145 .001414 .001077 -.00691 -.000505 .000543 lremote | .00016 .002215 -.017799 -.004033 .051823 -.002491 -.000144 ldist | .002748 .002058 -.009481 -.001848 -.013584 .019143 -.00026 lopen | .000047 -.000087 -.002104 .001111 .00219 .000803 -.000052 english | -.001202 -.000875 .003251 .001975 -.004272 .007058 .000785 white | .005157 -.039929 .051222 -.009761 -.303239 .063215 .002999 lwhitemg | -.000547 .001863 -.006165 .000192 .03681 -.00506 -.000114 _cons | .006234 -.047432 7.89075 -.614264 -28.884 -.204469 .082465</p><p>| lremote ldist lopen english white lwhitemg _cons ------+------lremote | .030127 ldist | .013584 .264429 lopen | .000221 .000666 .002653 english | -.000697 .071306 -.00042 .101829 white | -.002522 .174882 -.002642 .13289 7.01819 lwhitemg | .002937 -.021632 .000316 -.013115 -.743329 .080866 _cons | -.793331 -2.54659 .000204 -.79566 1.8913 -.227067 308.4 closed on: 26 Jul 2006, 09:08:13 ------</p>