------
log: K:\Exports\Vietnam to Ghana.log
opened on: 2 Aug 2006, 11:30:11
.
. *Dropping Vietnam
. drop if ccode==487040
(10 observations deleted)
.
. **Generating log variables
. generate lrexp=log(rexp+1)
.
. *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)
variable | N mean sd p50 min max
------+------
rimp | 1000 487497.4 1561613 7348 0 1.39e+07
immig | 1000 32005.4 116532.3 2790 0 1137050
gdp | 1000 2.79e+11 9.69e+11 1.66e+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 105.6023 16.74017 102.8924 60.87417 207.3465
gdpdfau | 1000 100.7173 4.633489 100.8223 94.42464 109.9797
pop | 1000 4.89e+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 963.9381 10879.69 13.89535 .0068 270182.6
remote | 1000 6740.858 4145.983 6794 1293 39620
dist | 1000 13426.41 3485.95 14305 2409 17972
open | 1000 .7102043 .3882769 .63745 .0671 3.2192
english | 1000 .38 .4856293 0 0 1
gdpdfratio~w | 1000 1.051429 .1787449 1.017907 .5844526 2.009028
white | 1000 .13 .3364717 0 0 1
whitemg | 1000 20501.65 116468.1 0 0 1137050
------
. sort white
. *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)
------
-> white = 0
variable | N mean sd p50 min max
------+------
rimp | 870 400693.8 1597830 2944.5 0 1.39e+07
immig | 870 13222.69 23178.41 1403.5 0 135644
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 | 870 104.7154 17.07057 101.7385 60.87417 207.3465
gdpdfau | 870 100.7173 4.633836 100.8223 94.42464 109.9797
pop | 870 5.27e+07 1.65e+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 1091.982 11659.16 19.96485 .0068 270182.6
remote | 870 7167.455 4116.041 6955 1293 39620
dist | 870 13265.3 3369.95 14051 2410 17972
phone | 870 159.1858 241.9245 49.865 .54 1449.75
open | 870 .7179147 .4095958 .63605 .0671 3.2192
english | 870 .3908046 .4882114 0 0 1
gdpdfratio~w | 870 1.042831 .1832916 1 .5844526 2.009028
white | 870 0 0 0 0 0
whitemg | 870 0 0 0 0 0
------
------
-> white = 1
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
------
.
.
. **Regression of Exports
. tsset ccode year
panel variable: ccode, 117100 to 725980
time variable: year, 1991 to 2000
.
. **I. Aggregate Exports
. xtgls lrexp limmig lgdp lgdpau lgdpdfrationew lpopau lpop lxrate1 lremo
> te ldist lopen english white lwhitemg, igls panels(hetero)corr(psar1)nolog
Cross-sectional time-series FGLS regression
Coefficients: generalized least squares
Panels: heteroskedastic
Correlation: panel-specific AR(1)
Estimated covariances = 100 Number of obs = 1000
Estimated autocorrelations = 100 Number of groups = 100
Estimated coefficients = 14 Time periods = 10
Wald chi2(13) = 6963.03
Log likelihood = -1007.879 Prob > chi2 = 0.0000
------
lrexp | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .5229423 .0398596 13.12 0.000 .444819 .6010656
lgdp | 1.067699 .0395538 26.99 0.000 .9901753 1.145223
lgdpau | -3.107766 .8573783 -3.62 0.000 -4.788196 -1.427335
lgdpdfrati~w | -1.747795 .3281438 -5.33 0.000 -2.390946 -1.104645
lpopau | 3.367621 2.997022 1.12 0.261 -2.506434 9.241676
lpop | .0119258 .0417375 0.29 0.775 -.0698783 .0937298
lxrate1 | .0017759 .0148492 0.12 0.905 -.027328 .0308798
lremote | .1771866 .0831795 2.13 0.033 .0141579 .3402154
ldist | -1.366759 .1466228 -9.32 0.000 -1.654134 -1.079383
lopen | .9871193 .0817588 12.07 0.000 .826875 1.147364
english | .1543269 .0987199 1.56 0.118 -.0391605 .3478143
white | 3.213553 .5696163 5.64 0.000 2.097125 4.32998
lwhitemg | -.3926769 .0515356 -7.62 0.000 -.4936849 -.2916689
_cons | 19.37663 27.86781 0.70 0.487 -35.24327 73.99653
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .001589
lgdp | -.000937 .001565
lgdpau | -.00366 .003184 .735098
lgdpdfrati~w | .000838 -.001232 -.023085 .107678
lpopau | .01411 -.013195 -2.52848 .128103 8.98214
lpop | .000078 -.00078 .000546 9.0e-06 -.005167 .001742
lxrate1 | .00003 .000159 -.000127 -.000059 .000289 -.000046 .00022
lremote | -.000456 .001363 .005168 -.002419 -.027447 -9.9e-06 .000057
ldist | .003848 -.002204 -.006394 .003643 .016416 .001937 .00058
lopen | -.00071 .000526 .011692 -.001059 -.06272 .000784 -.000105
english | -.000886 .001708 -.002345 -.000014 .016315 -.001066 .00045
white | .007648 -.001857 -.010957 -.008921 .021307 .009494 .001925
lwhitemg | -.000858 .000221 .001187 .000505 -.002547 -.000842 -.000168
_cons | -.164042 .127475 22.6587 -1.62592 -82.5329 .04375 -.011621
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .006919
ldist | .002009 .021498
lopen | .002541 .000291 .006684
english | .000334 .001749 -.003086 .009746
white | .014564 .035005 -.001817 .002817 .324463
lwhitemg | -.001058 -.003582 .000146 -.000017 -.028947 .002656
_cons | .215181 -.341848 .698434 -.253617 -.71036 .071019 776.615
.
. **II. Conservative Estimates
. *2.1. Aggregate reference priced Exports (conservative)
. xtgls lrrefp_cx 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
Coefficients: generalized least squares
Panels: heteroskedastic
Correlation: panel-specific AR(1)
Estimated covariances = 100 Number of obs = 1000
Estimated autocorrelations = 100 Number of groups = 100
Estimated coefficients = 14 Time periods = 10
Wald chi2(13) = 7073.92
Log likelihood = -1453.785 Prob > chi2 = 0.0000
------
lrrefp_cx | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .3441053 .0459641 7.49 0.000 .2540172 .4341933
lgdp | 1.080206 .0672521 16.06 0.000 .9483942 1.212018
lgdpau | -.3107859 .5167304 -0.60 0.548 -1.323559 .7019871
lgdpdfrati~w | -.193464 .2970474 -0.65 0.515 -.7756662 .3887382
lpopau | 2.830338 1.857722 1.52 0.128 -.8107316 6.471407
lpop | .0483547 .0944904 0.51 0.609 -.1368431 .2335525
lxrate1 | -.0429955 .030207 -1.42 0.155 -.1022001 .0162091
lremote | -.278819 .1672923 -1.67 0.096 -.6067059 .0490679
ldist | -3.154976 .3852209 -8.19 0.000 -3.909995 -2.399956
lopen | -.0487833 .06078 -0.80 0.422 -.16791 .0703433
english | .6065421 .1810376 3.35 0.001 .2517149 .9613693
white | 7.813932 1.085191 7.20 0.000 5.686996 9.940868
lwhitemg | -.8493965 .1155954 -7.35 0.000 -1.075959 -.6228338
_cons | -28.79829 18.66608 -1.54 0.123 -65.38313 7.786556
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .002113
lgdp | -.001615 .004523
lgdpau | .001135 -.001299 .26701
lgdpdfrati~w | -.001899 .003121 -.024444 .088237
lpopau | -.005328 .003817 -.924658 .107971 3.45113
lpop | -.000081 -.004781 .003535 -.001292 -.019425 .008928
lxrate1 | .000134 .000385 .000551 .002647 -.005951 -.000579 .000912
lremote | .000102 .000303 -.022035 .00261 .093146 -.003641 .00066
ldist | .009011 -.010601 .003732 .002144 -.028978 .005266 .002052
lopen | .000051 -.00026 .002859 .001151 -.013911 .001355 -.000439
english | -.001181 -.001401 .005914 .004238 -.043413 .00302 .001607
white | .010748 -.025627 .021894 -.003634 -.152681 .032359 .001723
lwhitemg | -.001551 .002012 -.004583 .000563 .023126 -.002111 -.000127
_cons | .000021 .046249 8.48586 -1.33456 -33.3888 .182687 .052557
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .027987
ldist | .003252 .148395
lopen | -.002331 .001114 .003694
english | -.004869 .000329 -.000819 .032775
white | -.012159 .056242 .003171 .038079 1.17764
lwhitemg | .004207 -.007011 -.00071 -.001694 -.120127 .013362
_cons | -1.20112 -.962345 .152679 .572077 1.52169 -.237543 348.423
.
.
. *2.2. Aggregate Differentiated Exports (conservative)
. xtgls lrdiff_cx 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
Coefficients: generalized least squares
Panels: heteroskedastic
Correlation: panel-specific AR(1)
Estimated covariances = 100 Number of obs = 1000
Estimated autocorrelations = 100 Number of groups = 100
Estimated coefficients = 14 Time periods = 10
Wald chi2(13) = 3549.80
Log likelihood = -1562.545 Prob > chi2 = 0.0000
------
lrdiff_cx | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .4009922 .0550852 7.28 0.000 .2930271 .5089573
lgdp | 1.163507 .0649988 17.90 0.000 1.036111 1.290902
lgdpau | 2.555444 2.02408 1.26 0.207 -1.411681 6.522568
lgdpdfrati~w | -2.03013 .8232192 -2.47 0.014 -3.64361 -.4166499
lpopau | -11.35633 6.991464 -1.62 0.104 -25.05935 2.346687
lpop | -.089462 .0815444 -1.10 0.273 -.249286 .070362
lxrate1 | -.0819817 .0271692 -3.02 0.003 -.1352323 -.0287311
lremote | .2397052 .20595 1.16 0.244 -.1639494 .6433599
ldist | -2.2748 .2319204 -9.81 0.000 -2.729356 -1.820245
lopen | .6500778 .1651157 3.94 0.000 .3264569 .9736987
english | .509977 .1846744 2.76 0.006 .1480219 .8719321
white | 2.133214 1.112986 1.92 0.055 -.0481992 4.314627
lwhitemg | -.2001632 .1012649 -1.98 0.048 -.3986389 -.0016876
_cons | 121.3027 64.60723 1.88 0.060 -5.325133 247.9305
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .003034
lgdp | -.002315 .004225
lgdpau | -.002833 .005379 4.0969
lgdpdfrati~w | -.00406 .001792 -.224645 .67769
lpopau | .012774 -.030877 -13.908 1.03069 48.8806
lpop | .00034 -.00316 -.000472 .000855 -.007775 .006649
lxrate1 | .000124 .000466 .000804 -.000456 -.005351 -.000811 .000738
lremote | .003836 -.001983 .00322 -.009674 -.065638 .001286 .000627
ldist | .006364 -.006261 -.007725 .009562 .014525 .003732 .002367
lopen | -.001184 .001966 .015258 -.000532 -.147686 .004438 -.000444
english | -.002684 .002041 -.000704 .011947 .039048 -.00469 .001519
white | .022469 -.020971 .038895 -.123294 -.17108 .009839 .002841
lwhitemg | -.00202 .001503 -.003192 .010486 .012206 -.000238 -.000186
_cons | -.201442 .414041 123.434 -11.9604 -446.188 .065302 .038181
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .042415
ldist | .022078 .053787
lopen | .013661 .002358 .027263
english | -.016486 .001645 -.010848 .034105
white | .072016 .037666 -.004247 -.009765 1.23874
lwhitemg | -.003973 -.001235 .000933 .000741 -.109632 .010255
_cons | .448187 -.71712 1.82985 -.493613 1.10522 -.097923 4174.09
.
. *2.3. Aggregate Homogenous Exports (conservative)
. xtgls lrhomo_cx limmig lgdp lgdpau lgdpdfrationew lpopau lpop lxrate1 l
> remote ldist lopen english white lwhitemg, panels(hetero)corr(psar1)nolog
Cross-sectional time-series FGLS regression
Coefficients: generalized least squares
Panels: heteroskedastic
Correlation: panel-specific AR(1)
Estimated covariances = 100 Number of obs = 1000
Estimated autocorrelations = 100 Number of groups = 100
Estimated coefficients = 14 Time periods = 10
Wald chi2(13) = 1098.12
Log likelihood = -1656.482 Prob > chi2 = 0.0000
------
lrhomo_cx | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .6504416 .0725232 8.97 0.000 .5082987 .7925845
lgdp | .6360531 .1188045 5.35 0.000 .4032006 .8689056
lgdpau | 1.159323 1.850959 0.63 0.531 -2.46849 4.787136
lgdpdfrati~w | -.1442425 .6680165 -0.22 0.829 -1.453531 1.165046
lpopau | -11.016 6.346072 -1.74 0.083 -23.45407 1.422074
lpop | .1763733 .1109708 1.59 0.112 -.0411254 .3938721
lxrate1 | .0895839 .0473565 1.89 0.059 -.0032332 .182401
lremote | -1.093672 .3117296 -3.51 0.000 -1.704651 -.4826931
ldist | -1.081021 .6121246 -1.77 0.077 -2.280763 .1187209
lopen | .3107267 .1272084 2.44 0.015 .0614028 .5600506
english | .2382025 .3228556 0.74 0.461 -.3945829 .8709879
white | 12.74679 2.922939 4.36 0.000 7.017931 18.47564
lwhitemg | -1.458209 .2995042 -4.87 0.000 -2.045227 -.8711918
_cons | 156.4032 59.58158 2.63 0.009 39.6255 273.181
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .00526
lgdp | -.006251 .014115
lgdpau | .005407 -.007908 3.42605
lgdpdfrati~w | -.007469 .013727 -.122318 .446246
lpopau | -.028065 .020281 -11.4617 .57225 40.2726
lpop | .001343 -.00742 -.000478 -.003321 -.001139 .012315
lxrate1 | .000435 .000591 .00445 .003389 -.031439 -.000986 .002243
lremote | .000318 .00973 -.056453 .009423 .159327 -.007308 -.001214
ldist | .015889 -.009287 -.020418 -.007839 -.002594 .009113 -.001358
lopen | -.00124 .001401 -.022126 .005395 .038912 .00216 .000317
english | -.005786 .008045 .019997 .016961 -.09006 .004511 .003696
white | .029801 -.056263 .176368 -.040404 -.835295 .046481 .010555
lwhitemg | -.002913 .004259 -.020673 .003112 .096191 -.003867 -.001012
_cons | .267815 -.308114 101.185 -6.99076 -369.681 -.018771 .418432
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .097175
ldist | .059643 .374696
lopen | .004047 -.004805 .016182
english | -.022956 .004961 -.002838 .104236
white | -.019375 -.056885 -.007758 .104214 8.54357
lwhitemg | .006018 .004251 .000948 -.011859 -.863508 .089703
_cons | -2.67785 -3.52816 -.106074 .847964 10.3085 -1.16527 3549.96
.
. **III. Liberal Estimates
. *3.1. Aggregate reference priced Exports (liberal)
. xtgls lrrefp_lx 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
Coefficients: generalized least squares
Panels: heteroskedastic
Correlation: panel-specific AR(1)
Estimated covariances = 100 Number of obs = 1000
Estimated autocorrelations = 100 Number of groups = 100
Estimated coefficients = 14 Time periods = 10
Wald chi2(13) = 1864.23
Log likelihood = -1457.972 Prob > chi2 = 0.0000
------
lrrefp_lx | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .3340665 .0476087 7.02 0.000 .2407551 .4273778
lgdp | 1.001435 .0926899 10.80 0.000 .8197666 1.183104
lgdpau | -.0682359 .5527707 -0.12 0.902 -1.151647 1.015175
lgdpdfrati~w | .1661278 .2505842 0.66 0.507 -.3250083 .6572638
lpopau | -3.297041 1.939768 -1.70 0.089 -7.098917 .5048349
lpop | .1355694 .1003061 1.35 0.177 -.0610269 .3321657
lxrate1 | -.0071683 .028437 -0.25 0.801 -.0629037 .0485671
lremote | -.2483062 .1650838 -1.50 0.133 -.5718645 .0752521
ldist | -2.189049 .4931634 -4.44 0.000 -3.155632 -1.222467
lopen | .0639652 .0580435 1.10 0.270 -.0497981 .1777285
english | 1.126248 .2727392 4.13 0.000 .5916891 1.660807
white | 10.63354 2.125542 5.00 0.000 6.467555 14.79953
lwhitemg | -1.078879 .2078608 -5.19 0.000 -1.486278 -.6714791
_cons | 56.83775 19.36744 2.93 0.003 18.87826 94.79724
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .002267
lgdp | -.002838 .008591
lgdpau | .001845 -.005251 .305555
lgdpdfrati~w | -.001923 .004771 -.027783 .062792
lpopau | -.008314 .015426 -1.04125 .113797 3.7627
lpop | .0008 -.00601 .004477 -.003395 -.023248 .010061
lxrate1 | .000144 -.00002 .001723 .001527 -.008783 -.000272 .000809
lremote | .000438 .001605 -.022173 .002921 .080364 -.00347 -.000044
ldist | .005156 -.003755 -.006986 .001253 -.008774 .007994 .001791
lopen | -.000042 -.000042 .002195 .00115 -.010514 .000749 -.000112
english | -.003143 .005738 .003317 .005578 -.023487 .000582 .001641
white | .013051 -.03993 .037347 -.008277 -.169331 .034074 .011246
lwhitemg | -.001369 .00275 -.004756 .000671 .021253 -.002162 -.000993
_cons | .078068 -.187827 9.5799 -1.31417 -35.7609 .199738 .082678
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .027253
ldist | .014773 .24321
lopen | -.001223 -.001415 .003369
english | -.004764 .044322 -.001184 .074387
white | .02541 -.200457 -.002934 -.012818 4.51793
lwhitemg | -.000507 .020373 .00007 .002222 -.437428 .043206
_cons | -1.11842 -2.21838 .132059 -.235537 3.77819 -.43643 375.098
.
. *3.2. Aggregate Differentiated Exports (liberal)
. xtgls lrdiff_lx 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
Coefficients: generalized least squares
Panels: heteroskedastic
Correlation: panel-specific AR(1)
Estimated covariances = 100 Number of obs = 1000
Estimated autocorrelations = 100 Number of groups = 100
Estimated coefficients = 14 Time periods = 10
Wald chi2(13) = 3464.40
Log likelihood = -1580.04 Prob > chi2 = 0.0000
------
lrdiff_lx | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .3604105 .0574374 6.27 0.000 .2478353 .4729857
lgdp | 1.247408 .0698398 17.86 0.000 1.110524 1.384292
lgdpau | 2.362276 2.11093 1.12 0.263 -1.77507 6.499623
lgdpdfrati~w | -2.26002 .824866 -2.74 0.006 -3.876727 -.6433119
lpopau | -10.60275 7.283219 -1.46 0.145 -24.8776 3.672097
lpop | -.1976806 .0842258 -2.35 0.019 -.3627601 -.0326012
lxrate1 | -.0455043 .0276192 -1.65 0.099 -.099637 .0086283
lremote | .285159 .1999563 1.43 0.154 -.1067481 .6770661
ldist | -2.275459 .2309569 -9.85 0.000 -2.728126 -1.822792
lopen | .5947689 .1650834 3.60 0.000 .2712114 .9183263
english | .6838997 .1972808 3.47 0.001 .2972366 1.070563
white | 2.364504 1.124275 2.10 0.035 .1609663 4.568043
lwhitemg | -.2118623 .1027887 -2.06 0.039 -.4133244 -.0104002
_cons | 113.4472 67.22815 1.69 0.092 -18.31753 245.212
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .003299
lgdp | -.002714 .004878
lgdpau | -.003435 .006178 4.45603
lgdpdfrati~w | -.00438 .00318 -.226548 .680404
lpopau | .01534 -.0348 -15.1157 1.02173 53.0453
lpop | .000853 -.003869 -.001062 -.000914 -.00416 .007094
lxrate1 | -.000015 .000665 .0009 .000486 -.006547 -.000988 .000763
lremote | .00377 -.00218 -.000222 -.006527 -.050149 .002118 .000412
ldist | .006628 -.006377 -.00988 .010546 .021724 .00365 .00184
lopen | -.001193 .001915 .014746 .00196 -.145869 .00448 -.000398
english | -.004215 .003876 .002129 .014841 .02259 -.005735 .00181
white | .021524 -.021609 .033484 -.117254 -.138354 .012062 .001103
lwhitemg | -.001962 .001546 -.002918 .010196 .010088 -.000374 -.000037
_cons | -.229527 .457277 134.093 -11.8045 -483.776 .02297 .060556
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .039983
ldist | .021983 .053341
lopen | .013025 .002433 .027253
english | -.01809 -.000714 -.010031 .03892
white | .068434 .015588 -.005511 -.018713 1.26399
lwhitemg | -.003897 .000817 .001044 .001637 -.112517 .010566
_cons | .292542 -.770684 1.81566 -.279053 .931474 -.0897 4519.62
.
. *3.3. Aggregate Homogenous Exports (liberal)
. xtgls lrhomo_lx 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
Coefficients: generalized least squares
Panels: heteroskedastic
Correlation: panel-specific AR(1)
Estimated covariances = 100 Number of obs = 1000
Estimated autocorrelations = 100 Number of groups = 100
Estimated coefficients = 14 Time periods = 10
Wald chi2(13) = 2870.69
Log likelihood = -1541.979 Prob > chi2 = 0.0000
------
lrhomo_lx | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .6049859 .051098 11.84 0.000 .5048356 .7051361
lgdp | 1.001355 .0817078 12.26 0.000 .8412109 1.161499
lgdpau | -.3930909 .7528561 -0.52 0.602 -1.868662 1.08248
lgdpdfrati~w | -.4629411 .5075338 -0.91 0.362 -1.457689 .531807
lpopau | 1.284053 2.675143 0.48 0.631 -3.959132 6.527238
lpop | -.0807573 .0878909 -0.92 0.358 -.2530203 .0915057
lxrate1 | -.0214046 .0327691 -0.65 0.514 -.0856308 .0428215
lremote | -.8292877 .2002627 -4.14 0.000 -1.221796 -.43678
ldist | -2.06963 .3073503 -6.73 0.000 -2.672026 -1.467235
lopen | .108616 .0839549 1.29 0.196 -.0559324 .2731645
english | .6919026 .2409823 2.87 0.004 .2195859 1.164219
white | 6.189924 2.064096 3.00 0.003 2.14437 10.23548
lwhitemg | -.8274204 .2099615 -3.94 0.000 -1.238937 -.4159035
_cons | -3.341496 26.55364 -0.13 0.900 -55.38568 48.70269
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .002611
lgdp | -.003073 .006676
lgdpau | .001718 -.006093 .566792
lgdpdfrati~w | -.003994 .004619 -.067886 .257591
lpopau | -.00548 .015432 -1.94646 .344266 7.15639
lpop | .000811 -.004452 .005453 .000781 -.0263 .007725
lxrate1 | -.000069 .000174 .002296 .002547 -.013068 .000011 .001074
lremote | .002034 .001136 -.028496 .00151 .119822 -.00443 .000147
ldist | .005219 -.007233 -.008798 .002199 .01107 .009634 .000083
lopen | -.000223 -.0004 -.002306 .005788 -.00189 .001925 -.000427
english | -.0028 .00411 .012541 .009493 -.08475 .001362 .002393
white | .017652 -.027251 .064526 -.016183 -.332303 .02731 .01111
lwhitemg | -.001446 .001999 -.006947 .001939 .035467 -.002255 -.000826
_cons | .023718 -.107829 17.8562 -4.34292 -69.041 .215637 .143987
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .040105
ldist | .017185 .094464
lopen | -.001904 .00217 .007048
english | -.015099 .017311 -.001099 .058072
white | .012231 .048389 -.006324 .044761 4.26049
lwhitemg | .001227 -.003151 .000466 -.004922 -.427575 .044084
_cons | -1.72218 -1.02893 .067709 .913891 3.2963 -.385528 705.096
.
. *IV. Aggregate NON-Manufacturing Exports (Sum of Sitc0,1,2,3,4)
. xtgls lrxnmf limmig lgdp lgdpau lgdpdfrationew lpopau lpop lxrate1 lremo
> te ldist lopen english white lwhitemg, panels(hetero)corr(psar1)nolog
Cross-sectional time-series FGLS regression
Coefficients: generalized least squares
Panels: heteroskedastic
Correlation: panel-specific AR(1)
Estimated covariances = 100 Number of obs = 1000
Estimated autocorrelations = 100 Number of groups = 100
Estimated coefficients = 14 Time periods = 10
Wald chi2(13) = 568.52
Log likelihood = -1178.339 Prob > chi2 = 0.0000
------
lrxnmf | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .4209561 .0838095 5.02 0.000 .2566926 .5852196
lgdp | .4416217 .1260517 3.50 0.000 .1945648 .6886785
lgdpau | -3.174657 1.392611 -2.28 0.023 -5.904125 -.4451899
lgdpdfrati~w | -1.456671 .6390671 -2.28 0.023 -2.709219 -.2041225
lpopau | 12.62039 4.779495 2.64 0.008 3.252752 21.98803
lpop | .0899866 .1129441 0.80 0.426 -.1313798 .3113529
lxrate1 | -.1037603 .041786 -2.48 0.013 -.1856593 -.0218614
lremote | -.2023195 .3233439 -0.63 0.532 -.8360618 .4314228
ldist | -1.754292 .4244763 -4.13 0.000 -2.586251 -.9223341
lopen | -.1733152 .1867028 -0.93 0.353 -.5392459 .1926155
english | .7823036 .2964218 2.64 0.008 .2013276 1.36328
white | 12.21378 1.370759 8.91 0.000 9.527138 14.90042
lwhitemg | -1.331972 .1167719 -11.41 0.000 -1.560841 -1.103103
_cons | -113.7446 44.59896 -2.55 0.011 -201.1569 -26.33223
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .007024
lgdp | -.007184 .015889
lgdpau | -.007042 .010001 1.93937
lgdpdfrati~w | -.002687 .00258 .042612 .408407
lpopau | .027566 -.055349 -6.46529 .023741 22.8436
lpop | .000963 -.007941 -.000495 -.000395 -.003281 .012756
lxrate1 | .000362 .001253 .000284 .000993 -.004003 -.001998 .001746
lremote | .001485 .0023 -.033634 -.059631 .001777 -.002054 .000586
ldist | .015401 -.011051 -.02215 -.012556 .023926 .010709 .001067
lopen | .000201 .00007 .010757 -.002063 -.1219 .006471 -.001307
english | -.013519 .018471 .015075 .015648 -.03246 -.006724 .001571
white | .020653 -.041222 -.019279 -.061491 .085318 .045792 -.005929
lwhitemg | -.00232 .002451 -.001706 -.000122 -.000665 -.003435 .000541
_cons | -.321868 .536578 56.6571 -1.34154 -208.635 -.030335 .036636
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .104551
ldist | .030707 .18018
lopen | .014117 .006398 .034858
english | -.015884 -.004688 -.015908 .087866
white | .035708 .147729 -.013676 .073598 1.87898
lwhitemg | .005728 -.016106 .001357 -.007592 -.148956 .013636
_cons | -.311532 -1.79817 1.48999 .026829 -2.53706 .176487 1989.07
.
. *V. Aggregate Manufacturing Exports (Sum of Sitc5,6,7,8,9)
. xtgls lrxmfn limmig lgdp lgdpau lgdpdfrationew lpopau lpop lxrate1 lremot
> e ldist lopen english white lwhitemg, igls panels(hetero)corr(psar1)nolog
Cross-sectional time-series FGLS regression
Coefficients: generalized least squares
Panels: heteroskedastic
Correlation: panel-specific AR(1)
Estimated covariances = 100 Number of obs = 1000
Estimated autocorrelations = 100 Number of groups = 100
Estimated coefficients = 14 Time periods = 10
Wald chi2(13) = 1174.64
Log likelihood = -975.0597 Prob > chi2 = 0.0000
------
lrxmfn | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .207959 .0454914 4.57 0.000 .1187975 .2971205
lgdp | .3788319 .0942038 4.02 0.000 .1941958 .563468
lgdpau | -2.734873 1.104605 -2.48 0.013 -4.899859 -.5698864
lgdpdfrati~w | -4.161298 .4597619 -9.05 0.000 -5.062414 -3.260181
lpopau | 9.506849 3.837944 2.48 0.013 1.984616 17.02908
lpop | .1881898 .0810861 2.32 0.020 .0292639 .3471156
lxrate1 | -.0953541 .0287261 -3.32 0.001 -.1516561 -.039052
lremote | .5842149 .1745612 3.35 0.001 .2420813 .9263485
ldist | -2.39829 .2267495 -10.58 0.000 -2.842711 -1.953869
lopen | .1755678 .1265603 1.39 0.165 -.0724859 .4236215
english | .4132 .174506 2.37 0.018 .0711745 .7552255
white | 9.421674 .8263164 11.40 0.000 7.802124 11.04122
lwhitemg | -.8570577 .0723836 -11.84 0.000 -.998927 -.7151885
_cons | -68.88956 35.9532 -1.92 0.055 -139.3565 1.577431
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .002069
lgdp | -.00294 .008874
lgdpau | -.003251 .007146 1.22015
lgdpdfrati~w | -.002419 .005152 -.04892 .211381
lpopau | .014973 -.037495 -4.14113 .21924 14.7298
lpop | .001797 -.006152 -.002844 -.002539 .005978 .006575
lxrate1 | -.000064 .001114 .000595 .000486 -.004516 -.001013 .000825
lremote | .00201 -.003664 -.003967 -.01171 -.018236 .004102 -.000146
ldist | .005636 -.009249 -.012235 -.007701 .047993 .007715 -.000769
lopen | -.000586 .001101 .007709 .005924 -.073632 .003259 -.000488
english | -.00264 .003908 .002059 .001584 .011221 -.002068 .00017
white | .016692 -.034635 -.026719 -.031151 .065041 .038868 -.0059
lwhitemg | -.001254 .001518 .001077 .000518 -.000297 -.002469 .000377
_cons | -.207237 .460382 36.7972 -2.45734 -135.689 -.100892 .055819
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .030472
ldist | .018516 .051415
lopen | .004408 .001818 .016018
english | -.003895 .008131 -.004681 .030452
white | .063397 .077407 .009763 .00087 .682799
lwhitemg | -.003068 -.005429 -.001421 .00019 -.055906 .005239
_cons | -.013969 -1.06662 .901309 -.341072 -1.56493 .066319 1292.63
.
.
. **VI. SITC-1 Digit Level Disaggregate Exports
. xtgls lrxsitc0 limmig lgdp lgdpau lgdpdfrationew lpopau lpop lxrate1 lr
> emote ldist lopen english white lwhitemg, panels(hetero)corr(psar1)nolog
Cross-sectional time-series FGLS regression
Coefficients: generalized least squares
Panels: heteroskedastic
Correlation: panel-specific AR(1)
Estimated covariances = 100 Number of obs = 1000
Estimated autocorrelations = 100 Number of groups = 100
Estimated coefficients = 14 Time periods = 10
Wald chi2(13) = 797.83
Log likelihood = -1437.45 Prob > chi2 = 0.0000
------
lrxsitc0 | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .2885367 .0884291 3.26 0.001 .1152187 .4618546
lgdp | .4493078 .1417188 3.17 0.002 .1715442 .7270715
lgdpau | -.7896586 1.155976 -0.68 0.495 -3.055329 1.476012
lgdpdfrati~w | -.7166579 .5696853 -1.26 0.208 -1.83322 .3999047
lpopau | 10.33185 3.926285 2.63 0.009 2.636476 18.02723
lpop | -.1628973 .1412559 -1.15 0.249 -.4397537 .1139591
lxrate1 | -.0880435 .0469792 -1.87 0.061 -.180121 .0040339
lremote | .2565444 .2565099 1.00 0.317 -.2462058 .7592946
ldist | -2.271769 .4578816 -4.96 0.000 -3.1692 -1.374337
lopen | -.5164219 .2168267 -2.38 0.017 -.9413943 -.0914494
english | 1.593333 .3192752 4.99 0.000 .9675654 2.219101
white | 19.19386 1.840745 10.43 0.000 15.58606 22.80165
lwhitemg | -1.872198 .1769695 -10.58 0.000 -2.219052 -1.525344
_cons | -136.0729 36.88757 -3.69 0.000 -208.3712 -63.7746
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .00782
lgdp | -.009616 .020084
lgdpau | -.010452 .010423 1.33628
lgdpdfrati~w | -.002812 -.002897 .120919 .324541
lpopau | .034057 -.028176 -4.365 -.211225 15.4157
lpop | .003066 -.012279 -.000847 .001475 -.027393 .019953
lxrate1 | .000635 .001047 -.000528 -.000055 .005599 -.002285 .002207
lremote | .003007 .002368 -.040513 -.056213 -.011151 -.000144 -.000366
ldist | .019174 -.021251 -.047515 -.03563 .075092 .022437 .002521
lopen | -.001127 -.00051 .007752 -.011736 -.130706 .011027 -.001774
english | -.011883 .009794 .012373 .006208 -.053692 .002671 .002893
white | .034852 -.074851 -.038618 -.039847 .024895 .078884 .002757
lwhitemg | -.003233 .005328 .0006 .00028 -.006527 -.005832 -.000373
_cons | -.372936 .165675 37.8652 .866091 -140.891 .222378 -.101702
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .065797
ldist | .045348 .209656
lopen | .018209 .007301 .047014
english | -.007105 .012142 -.011024 .101937
white | .031085 .15491 -.000443 .103801 3.38834
lwhitemg | .000653 -.012279 .001081 -.006657 -.318001 .031318
_cons | .254913 -2.35214 1.63382 .263088 -.914483 .199435 1360.69
. xtgls lrxsitc1 limmig lgdp lgdpau lgdpdfrationew lpopau lpop lxrate1 lr
> emote ldist lopen english white lwhitemg, panels(hetero)corr(psar1)nolog
Cross-sectional time-series FGLS regression
Coefficients: generalized least squares
Panels: heteroskedastic
Correlation: panel-specific AR(1)
Estimated covariances = 100 Number of obs = 1000
Estimated autocorrelations = 100 Number of groups = 100
Estimated coefficients = 14 Time periods = 10
Wald chi2(13) = 845.23
Log likelihood = -228.3233 Prob > chi2 = 0.0000
------
lrxsitc1 | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | -.0072533 .0148716 -0.49 0.626 -.0364011 .0218945
lgdp | .0633178 .0389554 1.63 0.104 -.0130335 .139669
lgdpau | -.0021529 .2632324 -0.01 0.993 -.518079 .5137731
lgdpdfrati~w | -.1009943 .143629 -0.70 0.482 -.3825021 .1805134
lpopau | 3.243451 .9512812 3.41 0.001 1.378974 5.107928
lpop | .1838172 .0496767 3.70 0.000 .0864527 .2811817
lxrate1 | -.0388015 .0135145 -2.87 0.004 -.0652894 -.0123135
lremote | -.0469707 .0930069 -0.51 0.614 -.2292608 .1353195
ldist | -3.016784 .3334333 -9.05 0.000 -3.670301 -2.363267
lopen | -.0409229 .0259954 -1.57 0.115 -.091873 .0100271
english | 1.396094 .1510673 9.24 0.000 1.100008 1.692181
white | 19.72897 1.282976 15.38 0.000 17.21438 22.24356
lwhitemg | -1.592042 .122279 -13.02 0.000 -1.831704 -1.352379
_cons | -28.014 10.57236 -2.65 0.008 -48.73545 -7.292562
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .000221
lgdp | -.000142 .001518
lgdpau | .000317 -.001097 .069291
lgdpdfrati~w | -.000276 .000458 -.005663 .020629
lpopau | -.001543 .005946 -.237346 .026412 .904936
lpop | -.000077 -.001287 .000137 .000112 -.003503 .002468
lxrate1 | .000019 -.000023 .000334 .000352 -.002917 .000037 .000183
lremote | .000126 .000828 -.005765 -.000312 .017842 -.000159 .000093
ldist | .000942 .002512 -.007818 -.000281 .022016 -.000429 -.000446
lopen | .000031 -.000101 .000112 .000102 -.001692 .000116 -.000023
english | -.000253 .000366 -.001162 -.000374 .012081 .00084 -.000045
white | .000768 -.006704 .002834 -.0034 -.035157 .010451 .00058
lwhitemg | -.00011 .000224 -.000347 .000252 .002064 -.000703 -7.2e-06
_cons | .010706 -.114552 2.27056 -.317095 -9.24118 .05058 .041923
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .00865
ldist | .010313 .111178
lopen | -.000125 -.000254 .000676
english | .001344 .017467 -.000407 .022821
white | .006563 .022775 -.000206 .030642 1.64603
lwhitemg | -.000313 -.003956 .000054 -.003445 -.152327 .014952
_cons | -.336397 -1.37192 .02926 -.371599 .211231 .022104 111.775
. xtgls lrxsitc2 limmig lgdp lgdpau lgdpdfrationew lpopau lpop lxrate1 lr
> emote ldist lopen english white lwhitemg, panels(hetero)corr(psar1)nolog
Cross-sectional time-series FGLS regression
Coefficients: generalized least squares
Panels: heteroskedastic
Correlation: panel-specific AR(1)
Estimated covariances = 100 Number of obs = 1000
Estimated autocorrelations = 100 Number of groups = 100
Estimated coefficients = 14 Time periods = 10
Wald chi2(13) = 723.18
Log likelihood = -1319.656 Prob > chi2 = 0.0000
------
lrxsitc2 | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .219053 .0608385 3.60 0.000 .0998117 .3382943
lgdp | .7166707 .1202698 5.96 0.000 .4809462 .9523953
lgdpau | -5.08271 1.891279 -2.69 0.007 -8.789549 -1.375872
lgdpdfrati~w | -.00702 .8519224 -0.01 0.993 -1.676757 1.662717
lpopau | 14.92843 6.553491 2.28 0.023 2.08382 27.77303
lpop | .0914994 .1372492 0.67 0.505 -.1775042 .3605029
lxrate1 | -.0616184 .0387063 -1.59 0.111 -.1374813 .0142445
lremote | -.7404349 .3631256 -2.04 0.041 -1.452148 -.0287218
ldist | -2.768193 .5176683 -5.35 0.000 -3.782804 -1.753582
lopen | -.279473 .1963291 -1.42 0.155 -.664271 .105325
english | .2572347 .2694594 0.95 0.340 -.270896 .7853653
white | 10.70728 1.5498 6.91 0.000 7.669733 13.74484
lwhitemg | -1.222047 .1616094 -7.56 0.000 -1.538796 -.9052985
_cons | -95.84136 61.30119 -1.56 0.118 -215.9895 24.30676
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .003701
lgdp | -.005055 .014465
lgdpau | -.004761 .009412 3.57694
lgdpdfrati~w | -.004288 .003749 -.072179 .725772
lpopau | .021015 -.060912 -12.0907 .546101 42.9482
lpop | .002413 -.011028 .002478 -.000084 -.016482 .018837
lxrate1 | -.000282 .0015 .001627 .004793 -.00898 -.000978 .001498
lremote | .003795 -.005527 -.018492 -.067539 .00318 -.003408 -.00709
ldist | .01803 -.018152 -.016287 -.038824 -.035543 .012742 -.002181
lopen | -.000779 .001105 .022812 -.006421 -.196155 .007571 -.00155
english | -.001714 .004956 .004077 .018101 -.010861 .001285 .003454
white | .033663 -.070068 -.031176 -.018331 .209288 .075665 -.002337
lwhitemg | -.002975 .004426 -.000027 -.004008 -.007228 -.006302 -.000517
_cons | -.369898 .852518 106.911 -7.04553 -394.323 .064908 .161942
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .13186
ldist | .061201 .26798
lopen | .023592 .015256 .038545
english | -.019615 .019225 -.008428 .072608
white | .040123 .210713 -.012121 .113915 2.40188
lwhitemg | .007967 -.020294 .002354 -.013993 -.239503 .026118
_cons | -1.05288 -1.91455 2.20557 -.108961 -4.84488 .270987 3757.84
. xtgls lrxsitc3 limmig lgdp lgdpau lgdpdfrationew lpopau lpop lxrate1 lr
> emote ldist lopen english white lwhitemg, panels(hetero)corr(psar1)nolog
Cross-sectional time-series FGLS regression
Coefficients: generalized least squares
Panels: heteroskedastic
Correlation: panel-specific AR(1)
Estimated covariances = 100 Number of obs = 1000
Estimated autocorrelations = 100 Number of groups = 100
Estimated coefficients = 14 Time periods = 10
Wald chi2(13) = 274.25
Log likelihood = -691.3209 Prob > chi2 = 0.0000
------
lrxsitc3 | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .0389826 .0435127 0.90 0.370 -.0463006 .1242658
lgdp | .1365626 .105531 1.29 0.196 -.0702744 .3433996
lgdpau | -.1217396 .8654054 -0.14 0.888 -1.817903 1.574424
lgdpdfrati~w | .282479 .2931063 0.96 0.335 -.2919987 .8569568
lpopau | -1.327391 2.967216 -0.45 0.655 -7.143028 4.488247
lpop | .6058416 .1138206 5.32 0.000 .3827573 .8289258
lxrate1 | .0331751 .0317685 1.04 0.296 -.02909 .0954402
lremote | -.1733795 .2914947 -0.59 0.552 -.7446987 .3979397
ldist | -1.645347 .5702648 -2.89 0.004 -2.763045 -.5276484
lopen | .0163256 .0649929 0.25 0.802 -.1110583 .1437094
english | 1.714499 .3663861 4.68 0.000 .9963956 2.432603
white | 14.34005 2.436595 5.89 0.000 9.564414 19.11569
lwhitemg | -1.124957 .2229862 -5.04 0.000 -1.562002 -.6879123
_cons | 30.38788 28.58236 1.06 0.288 -25.63252 86.40827
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .001893
lgdp | -.001554 .011137
lgdpau | .001813 -.002278 .748926
lgdpdfrati~w | -.001367 .002416 -.026838 .085911
lpopau | -.011906 -.00123 -2.49906 .086031 8.80437
lpop | .000178 -.00825 -.000153 -.000222 .003204 .012955
lxrate1 | .000148 .0003 .001008 .002137 -.008897 -.000423 .001009
lremote | .000783 .006971 -.042563 -.014187 .136135 -.005879 -.00088
ldist | .006242 .000826 -.005968 -.002752 -.031164 .006917 .001602
lopen | .00015 -.000339 -.002185 .004296 .002603 .001059 -.000072
english | -.004133 -.006839 .004942 .008593 -.016657 .012104 .002295
white | .004966 -.05549 .048502 -.004094 -.172969 .067544 .0015
lwhitemg | -.000778 .00279 -.007815 -.000739 .032278 -.005014 -.0002
_cons | .1088 -.100006 22.3056 -.708797 -81.4576 -.083557 .1069
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .084969
ldist | .028138 .325202
lopen | .000141 .000274 .004224
english | -.019918 .067458 -.000709 .134239
white | -.029398 .127184 .003794 .199951 5.937
lwhitemg | .006619 -.017078 -.000311 -.018828 -.522536 .049723
_cons | -2.20211 -2.85483 -.001469 -.388037 .739296 -.201431 816.951
. xtgls lrxsitc4 limmig lgdp lgdpau lgdpdfrationew lpopau lpop lxrate1 lr
> emote ldist lopen english white lwhitemg, panels(hetero)corr(psar1)nolog
Cross-sectional time-series FGLS regression
Coefficients: generalized least squares
Panels: heteroskedastic
Correlation: panel-specific AR(1)
Estimated covariances = 100 Number of obs = 1000
Estimated autocorrelations = 100 Number of groups = 100
Estimated coefficients = 14 Time periods = 10
Wald chi2(13) = 217.22
Log likelihood = -797.3984 Prob > chi2 = 0.0000
------
lrxsitc4 | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | -.0304703 .0437519 -0.70 0.486 -.1162224 .0552819
lgdp | .127226 .0905066 1.41 0.160 -.0501637 .3046157
lgdpau | .0626587 .71837 0.09 0.930 -1.345321 1.470638
lgdpdfrati~w | .0283535 .256166 0.11 0.912 -.4737227 .5304297
lpopau | -.2264055 2.469499 -0.09 0.927 -5.066534 4.613723
lpop | .5142592 .1052758 4.88 0.000 .3079224 .720596
lxrate1 | -.004735 .0228279 -0.21 0.836 -.0494769 .0400069
lremote | .3659538 .2407094 1.52 0.128 -.1058279 .8377355
ldist | -2.6353 .3982303 -6.62 0.000 -3.415817 -1.854783
lopen | .0622211 .0702573 0.89 0.376 -.0754806 .1999229
english | .8651365 .3372486 2.57 0.010 .2041414 1.526132
white | -.5698721 1.789057 -0.32 0.750 -4.07636 2.936616
lwhitemg | .1347452 .1770288 0.76 0.447 -.2122249 .4817152
_cons | 14.45624 23.95366 0.60 0.546 -32.49206 61.40455
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .001914
lgdp | -.001747 .008191
lgdpau | -.00044 -.000392 .516055
lgdpdfrati~w | -.000369 .001034 -.034757 .065621
lpopau | -.003943 -.002197 -1.72103 .115704 6.09842
lpop | .000209 -.005686 .000481 -.001504 -.009094 .011083
lxrate1 | .000173 .000052 -.000268 .001432 -.002904 -.000277 .000521
lremote | .00243 .003823 -.027865 -.007577 .083313 -.003348 -.000186
ldist | .005224 -.004542 -.015695 -.000954 .042024 .002196 .000471
lopen | -.000146 .000468 .001544 .000824 -.011115 .000967 -.000063
english | -.00357 -.003445 .003105 .003407 .00271 .003176 .000656
white | .00842 -.039212 .014825 -.015257 -.125289 .046257 .002015
lwhitemg | -.000804 .002198 -.003706 .00078 .020691 -.003121 -.00017
_cons | .032671 -.029226 15.4419 -.99989 -57.0613 .100969 .051476
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .057941
ldist | .028805 .158587
lopen | .000976 -.001042 .004936
english | -.013908 .046236 -.002037 .113737
white | .02334 .048911 -.001174 .138089 3.20073
lwhitemg | .000418 -.003645 .000141 -.012826 -.306666 .031339
_cons | -1.46611 -2.01926 .12221 -.428813 1.10271 -.209097 573.778
. xtgls lrxsitc5 limmig lgdp lgdpau lgdpdfrationew lpopau lpop lxrate1 lr
> emote ldist lopen english white lwhitemg, panels(hetero)corr(psar1)nolog
Cross-sectional time-series FGLS regression
Coefficients: generalized least squares
Panels: heteroskedastic
Correlation: panel-specific AR(1)
Estimated covariances = 100 Number of obs = 1000
Estimated autocorrelations = 100 Number of groups = 100
Estimated coefficients = 14 Time periods = 10
Wald chi2(13) = 578.78
Log likelihood = -1058.143 Prob > chi2 = 0.0000
------
lrxsitc5 | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .105115 .0738142 1.42 0.154 -.0395581 .2497881
lgdp | .5855345 .1365015 4.29 0.000 .3179964 .8530726
lgdpau | -.5843651 .8184243 -0.71 0.475 -2.188447 1.019717
lgdpdfrati~w | -.6947502 .3752071 -1.85 0.064 -1.430143 .0406422
lpopau | 6.885514 2.774675 2.48 0.013 1.44725 12.32378
lpop | .2549981 .1285304 1.98 0.047 .0030832 .506913
lxrate1 | -.1704654 .0356655 -4.78 0.000 -.2403685 -.1005623
lremote | .1967108 .231303 0.85 0.395 -.2566347 .6500562
ldist | -3.014453 .4452994 -6.77 0.000 -3.887224 -2.141682
lopen | .1279826 .1337537 0.96 0.339 -.1341697 .390135
english | .6937097 .2662412 2.61 0.009 .1718865 1.215533
white | 12.7548 1.940815 6.57 0.000 8.950868 16.55872
lwhitemg | -1.216173 .1842825 -6.60 0.000 -1.57736 -.8549859
_cons | -85.06571 26.52525 -3.21 0.001 -137.0542 -33.07718
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .005449
lgdp | -.006094 .018633
lgdpau | -.004915 .005575 .669818
lgdpdfrati~w | -.000129 -.001591 .036385 .14078
lpopau | .014744 -.025981 -2.18103 -.050775 7.69882
lpop | .001504 -.012062 -.001149 .002511 -.001933 .01652
lxrate1 | .000483 .00103 .000585 .000484 -.002282 -.001447 .001272
lremote | .001238 .006054 -.031687 -.026241 .020913 -.005801 .001675
ldist | .013926 -.008263 -.024722 -.004965 .077334 .002057 .0009
lopen | -.000146 -.000042 .00045 .002905 -.048568 .003934 -.001127
english | -.005393 .016638 .001372 -.004447 .003966 -.013164 -.000028
white | .030558 -.054037 -.057022 -.035743 .099539 .049644 -.001741
lwhitemg | -.002726 .002412 .002205 .000833 -.004362 -.002496 .000063
_cons | -.179522 .108306 19.004 .0184 -70.9015 .102785 -.009131
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .053501
ldist | .023544 .198292
lopen | .004996 -.001034 .01789
english | .006025 .028319 -.008666 .070884
white | .043493 .098701 -.008203 .035347 3.76676
lwhitemg | -.000802 -.01127 .00058 -.005929 -.346857 .03396
_cons | -.238671 -2.66865 .71788 -.581059 -1.22773 .134212 703.589
. xtgls lrxsitc6 limmig lgdp lgdpau lgdpdfrationew lpopau lpop lxrate1 lr
> emote ldist lopen english white lwhitemg, panels(hetero)corr(psar1)nolog
Cross-sectional time-series FGLS regression
Coefficients: generalized least squares
Panels: heteroskedastic
Correlation: panel-specific AR(1)
Estimated covariances = 100 Number of obs = 1000
Estimated autocorrelations = 100 Number of groups = 100
Estimated coefficients = 14 Time periods = 10
Wald chi2(13) = 816.69
Log likelihood = -1137.969 Prob > chi2 = 0.0000
------
lrxsitc6 | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .2042143 .0743605 2.75 0.006 .0584703 .3499583
lgdp | .6553752 .1134952 5.77 0.000 .4329288 .8778217
lgdpau | .3340957 1.193137 0.28 0.779 -2.004409 2.6726
lgdpdfrati~w | -1.060612 .5773824 -1.84 0.066 -2.19226 .0710371
lpopau | 1.700346 4.062014 0.42 0.676 -6.261055 9.661747
lpop | -.056362 .1196589 -0.47 0.638 -.2908891 .1781651
lxrate1 | -.0466088 .0390322 -1.19 0.232 -.1231104 .0298929
lremote | .3977555 .2895489 1.37 0.170 -.1697499 .9652609
ldist | -2.672431 .4351812 -6.14 0.000 -3.52537 -1.819491
lopen | -.0966414 .1501028 -0.64 0.520 -.3908374 .1975547
english | 1.274145 .28811 4.42 0.000 .7094597 1.83883
white | 11.43241 1.350167 8.47 0.000 8.786129 14.07869
lwhitemg | -1.123244 .1297776 -8.66 0.000 -1.377603 -.8688847
_cons | -24.81157 38.09798 -0.65 0.515 -99.48224 49.8591
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .005529
lgdp | -.005558 .012881
lgdpau | -.004912 .007581 1.42357
lgdpdfrati~w | -.003041 .003649 .041374 .33337
lpopau | .012679 -.03184 -4.68599 .055741 16.5
lpop | .001495 -.009389 -.004805 -.000669 .010579 .014318
lxrate1 | .000593 .000812 .002128 .000603 -.010834 -.001365 .001524
lremote | .004554 -.001299 -.034577 -.048369 -.009724 -.001187 .001623
ldist | .01478 -.009127 -.028662 -.02396 .049193 .003994 .001009
lopen | -.000707 .002011 -.007315 -.000806 -.038196 .002125 -.000944
english | -.005961 .010838 .007758 -.000061 .001807 -.008024 -.000517
white | .030899 -.055833 -.048276 -.036806 .116903 .054594 -.001266
lwhitemg | -.002559 .00333 .001682 -.001074 -.00779 -.003777 .000138
_cons | -.19316 .311789 40.8368 -1.76864 -150.822 -.091644 .093706
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .083839
ldist | .048343 .189383
lopen | .010878 .003161 .022531
english | -.001175 .031343 -.008731 .083007
white | .072512 .111496 -.020227 .021733 1.82295
lwhitemg | -.001062 -.010666 .001345 -.003422 -.167611 .016842
_cons | -.050846 -2.22037 .653127 -.62638 -2.16078 .200192 1451.46
. xtgls lrxsitc7 limmig lgdp lgdpau lgdpdfrationew lpopau lpop lxrate1 lr
> emote ldist lopen english white lwhitemg, panels(hetero)corr(psar1)nolog
Cross-sectional time-series FGLS regression
Coefficients: generalized least squares
Panels: heteroskedastic
Correlation: panel-specific AR(1)
Estimated covariances = 100 Number of obs = 1000
Estimated autocorrelations = 100 Number of groups = 100
Estimated coefficients = 14 Time periods = 10
Wald chi2(13) = 421.66
Log likelihood = -1201.054 Prob > chi2 = 0.0000
------
lrxsitc7 | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .2014344 .0515241 3.91 0.000 .100449 .3024197
lgdp | .3230895 .1043069 3.10 0.002 .1186518 .5275273
lgdpau | -2.272761 1.427345 -1.59 0.111 -5.070305 .5247829
lgdpdfrati~w | -2.316372 .6455092 -3.59 0.000 -3.581546 -1.051197
lpopau | 6.713527 4.885609 1.37 0.169 -2.86209 16.28914
lpop | .141331 .0838816 1.68 0.092 -.0230739 .3057359
lxrate1 | -.1175641 .0391807 -3.00 0.003 -.1943568 -.0407714
lremote | 1.210173 .2671663 4.53 0.000 .6865366 1.733809
ldist | -1.142955 .414028 -2.76 0.006 -1.954435 -.3314751
lopen | .1274762 .1550496 0.82 0.411 -.1764154 .4313678
english | .6182948 .1873544 3.30 0.001 .251087 .9855026
white | 7.782294 1.341868 5.80 0.000 5.152281 10.41231
lwhitemg | -.6152806 .1293998 -4.75 0.000 -.8688996 -.3616616
_cons | -53.37865 45.31744 -1.18 0.239 -142.1992 35.4419
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .002655
lgdp | -.002624 .01088
lgdpau | -.003871 .006564 2.03731
lgdpdfrati~w | -.001463 .000513 .079842 .416682
lpopau | .014095 -.039564 -6.80703 -.107782 23.8692
lpop | .000602 -.005796 -.000514 -.001646 -.00229 .007036
lxrate1 | .000214 .001703 .000926 .00077 -.006314 -.001762 .001535
lremote | .000495 .000827 -.026806 -.047055 .032469 .002338 -.000825
ldist | .01192 -.005376 -.023944 -.025395 .022732 .007188 .001679
lopen | -.000143 .000262 .010046 -.000334 -.09147 .005557 -.000838
english | -.002963 .005168 .007095 .006442 -.021596 .000905 .000912
white | .013545 -.031559 -.027656 -.062068 .068057 .033584 -.005929
lwhitemg | -.001504 .001006 -.000566 .001284 .004938 -.002056 .000129
_cons | -.215381 .381994 59.7361 -.068495 -217.075 -.009151 .053595
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .071378
ldist | .041558 .171419
lopen | .008733 .013585 .02404
english | -.007508 -.000386 -.003118 .035102
white | .052639 .112484 .009654 .04657 1.80061
lwhitemg | .000965 -.011909 -.001 -.005015 -.164173 .016744
_cons | -.858568 -1.78121 .977703 .101404 -1.777 .056765 2053.67
. xtgls lrxsitc8 limmig lgdp lgdpau lgdpdfrationew lpopau lpop lxrate1 lr
> emote ldist lopen english white lwhitemg, panels(hetero)corr(psar1)nolog
Cross-sectional time-series FGLS regression
Coefficients: generalized least squares
Panels: heteroskedastic
Correlation: panel-specific AR(1)
Estimated covariances = 100 Number of obs = 1000
Estimated autocorrelations = 100 Number of groups = 100
Estimated coefficients = 14 Time periods = 10
Wald chi2(13) = 498.60
Log likelihood = -982.2327 Prob > chi2 = 0.0000
------
lrxsitc8 | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .1197773 .0492513 2.43 0.015 .0232466 .2163081
lgdp | .5255277 .0970912 5.41 0.000 .3352323 .7158231
lgdpau | -1.280243 1.334251 -0.96 0.337 -3.895327 1.334841
lgdpdfrati~w | -1.117558 .5537727 -2.02 0.044 -2.202932 -.0321832
lpopau | 4.552927 4.592771 0.99 0.322 -4.448739 13.55459
lpop | .0104337 .0942571 0.11 0.912 -.1743068 .1951742
lxrate1 | -.0515114 .0393063 -1.31 0.190 -.1285504 .0255276
lremote | -.7531405 .2936635 -2.56 0.010 -1.32871 -.1775707
ldist | -2.833063 .4588414 -6.17 0.000 -3.732376 -1.933751
lopen | -.1587038 .153122 -1.04 0.300 -.4588174 .1414098
english | .7264084 .1971537 3.68 0.000 .3399943 1.112823
white | 11.07147 1.690718 6.55 0.000 7.757723 14.38522
lwhitemg | -1.100916 .1505386 -7.31 0.000 -1.395967 -.805866
_cons | -15.81353 43.23265 -0.37 0.715 -100.548 68.9209
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .002426
lgdp | -.002321 .009427
lgdpau | -.003004 .005768 1.78023
lgdpdfrati~w | -.000896 -.00032 -.028789 .306664
lpopau | .011212 -.027695 -5.97351 .173177 21.0935
lpop | -.000156 -.005529 -.001833 .001433 -.00068 .008884
lxrate1 | .000113 .00139 .002234 .001759 -.012575 -.001424 .001545
lremote | .00302 .000738 -.021083 -.03412 .041558 -.000836 -.001605
ldist | .010921 -.006316 -.023233 -.015474 .057344 .001491 -.000719
lopen | -.000718 -.000277 .004327 .008555 -.077407 .004792 -.000301
english | -.002574 .003661 .008098 .004359 -.017037 -.002675 .001763
white | .011707 -.032999 .01766 -.022054 -.009624 .031888 -.005479
lwhitemg | -.000983 .001014 -.003198 -.000393 .006749 -.001794 .000259
_cons | -.197047 .246669 52.7347 -1.9996 -193.84 .043233 .154539
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .086238
ldist | .05135 .210535
lopen | .00668 .002165 .023446
english | -.019815 .0086 -.005693 .03887
white | .027371 .110634 -.00448 .029104 2.85853
lwhitemg | .001755 -.010621 .000708 -.003308 -.245835 .022662
_cons | -1.35318 -2.73154 1.039 .107724 -1.42818 .071953 1869.06
. xtgls lrxsitc9 limmig lgdp lgdpau lgdpdfrationew lpopau lpop lxrate1 lr
> emote ldist lopen english white lwhitemg, panels(hetero)corr(psar1)nolog
Cross-sectional time-series FGLS regression
Coefficients: generalized least squares
Panels: heteroskedastic
Correlation: panel-specific AR(1)
Estimated covariances = 100 Number of obs = 1000
Estimated autocorrelations = 100 Number of groups = 100
Estimated coefficients = 14 Time periods = 10
Wald chi2(13) = 810.01
Log likelihood = -1579.308 Prob > chi2 = 0.0000
------
lrxsitc9 | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .4135386 .0721307 5.73 0.000 .2721651 .5549121
lgdp | .2382344 .1325282 1.80 0.072 -.0215161 .4979849
lgdpau | -2.667838 1.783038 -1.50 0.135 -6.162528 .8268522
lgdpdfrati~w | -1.230857 .6077562 -2.03 0.043 -2.422037 -.0396765
lpopau | 19.56238 6.083678 3.22 0.001 7.638588 31.48617
lpop | .4607282 .1256633 3.67 0.000 .2144326 .7070238
lxrate1 | -.1378404 .0442471 -3.12 0.002 -.224563 -.0511177
lremote | .354532 .3176208 1.12 0.264 -.2679932 .9770573
ldist | -1.875286 .4491086 -4.18 0.000 -2.755523 -.995049
lopen | -.1856247 .2198689 -0.84 0.399 -.6165598 .2453104
english | .3371229 .2913368 1.16 0.247 -.2338866 .9081325
white | 16.90032 2.53738 6.66 0.000 11.92714 21.87349
lwhitemg | -1.614626 .2454056 -6.58 0.000 -2.095612 -1.13364
_cons | -249.6303 56.39013 -4.43 0.000 -360.1529 -139.1076
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .005203
lgdp | -.006232 .017564
lgdpau | -.00722 .010774 3.17922
lgdpdfrati~w | -.002217 .002412 -.043272 .369368
lpopau | .024145 -.047597 -10.5917 .150984 37.0111
lpop | .002111 -.011603 -.005803 .000341 .008135 .015791
lxrate1 | .000097 .001364 -.001216 .003341 -.00341 -.001353 .001958
lremote | .00504 -.002414 -.049378 -.016922 .047512 .00396 .001087
ldist | .015516 -.010678 -.034739 -.000461 .082251 .010411 -.001179
lopen | -.001625 .000131 .001075 .017094 -.068394 .008981 -.00111
english | -.006348 .014372 .01453 -.001449 -.062666 -.008902 .001057
white | .023891 -.056189 -.072717 -.047171 -.026011 .061489 .007466
lwhitemg | -.001855 .002461 .001447 .001533 .009865 -.003227 -.00066
_cons | -.3252 .442305 92.9911 -1.63513 -336.803 -.1051 .06858
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .100883
ldist | .049538 .201699
lopen | .015706 .013018 .048342
english | -.014305 .026737 -.00977 .084877
white | .139646 -.017867 -.007167 -.040132 6.4383
lwhitemg | -.004811 .002553 .00115 .002852 -.611396 .060224
_cons | -.855451 -2.81894 .730296 .347829 1.4474 -.175037 3179.85
.
. clear
. insheet using k:\book1.txt
(104 vars, 1010 obs)
. *Dropping Belgium
. drop if ccode==530560
(10 observations deleted)
.
.
. *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)
variable | N mean sd p50 min max
------+------
rimp | 1000 486767.5 1561922 7348 0 1.39e+07
immig | 1000 33414.14 117051.2 2790 0 1137050
gdp | 1000 2.76e+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 105.5511 16.8746 102.6185 60.87417 207.3465
gdpdfau | 1000 100.7173 4.633489 100.8223 94.42464 109.9797
pop | 1000 4.95e+07 1.54e+08 1.04e+07 41000 1.26e+09
popau | 1000 1.82e+07 612793.8 1.82e+07 1.73e+07 1.92e+07
xrate1 | 1000 1042.87 10901.73 13.89535 .0068 270182.6
remote | 1000 6791.525 4110.85 6797 1530 39620
dist | 1000 13336.69 3516.974 14215 2409 17972
open | 1000 .7017843 .3843546 .63155 .0671 3.2192
english | 1000 .38 .4856293 0 0 1
gdpdfratio~w | 1000 1.05103 .1808446 1.011523 .5844526 2.009028
white | 1000 .13 .3364717 0 0 1
whitemg | 1000 20501.65 116468.1 0 0 1137050
------
. sort white
. *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)
------
-> white = 0
variable | N mean sd p50 min max
------+------
rimp | 870 399854.8 1598131 2944.5 0 1.39e+07
immig | 870 14841.93 27150.39 1403.5 0 158613
gdp | 870 2.34e+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 | 870 104.6566 17.219 101.4003 60.87417 207.3465
gdpdfau | 870 100.7173 4.633836 100.8223 94.42464 109.9797
pop | 870 5.34e+07 1.65e+08 1.07e+07 41000 1.26e+09
popau | 870 1.82e+07 612839.6 1.82e+07 1.73e+07 1.92e+07
xrate1 | 870 1182.708 11681.76 19.96485 .0068 270182.6
remote | 870 7225.693 4069.167 6955 1754 39620
dist | 870 13162.17 3401.716 14040 2410 17972
phone | 870 152.6226 237.0514 47.025 .54 1449.75