Morocco to Seychelles
------
log: K:\Morocco_to_Seychelles.log
opened on: 25 Jul 2006, 21:16:13
.
. *Dropping Morocco
. drop if ccode==165080
(10 observations deleted)
. *Descriptive stats after dropping
. tabstat rimp immig gdp gdpau gdpdefnew gdpdfau pop popau xrate1 remote dist open english gdpdfration
> ew white whitemg, stat(n mean sd median min max) col(stat)
variable | N mean sd p50 min max
------+------
rimp | 1000 491085.9 1561217 7475.5 0 1.39e+07
immig | 1000 33451.19 117041.6 2986.5 0 1137050
gdp | 1000 2.78e+11 9.69e+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 105.6177 16.93059 102.6773 60.87417 207.3465
gdpdfau | 1000 100.7173 4.633489 100.8223 94.42464 109.9797
pop | 1000 4.93e+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 1043.049 10901.71 16.2185 .0068 270182.6
remote | 1000 6762.727 4138.564 6797 1293 39620
dist | 1000 13325.92 3505.106 14215 2409 17972
open | 1000 .7094137 .3897364 .63745 .0671 3.2192
english | 1000 .38 .4856293 0 0 1
gdpdfratio~w | 1000 1.051671 .1812116 1.013736 .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" countries)--RHS Variables
> :
. by white: tabstat rimp immig gdp gdpau gdpdefnew gdpdfau pop popau xrate1 remote dist phone open eng
> lish gdpdfrationew white whitemg, stat(n mean sd median min max) col(stat)
------
-> white = 0
variable | N mean sd p50 min max
------+------
rimp | 870 404818.5 1597609 2944.5 0 1.39e+07
immig | 870 14884.52 27131.67 1606 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 | 870 104.733 17.28601 101.6138 60.87417 207.3465
gdpdfau | 870 100.7173 4.633836 100.8223 94.42464 109.9797
pop | 870 5.32e+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 1182.914 11681.74 22.9426 .0068 270182.6
remote | 870 7192.592 4104.823 6955 1293 39620
dist | 870 13149.79 3386.963 14040 2410 17972
phone | 870 158.785 242.1157 49.45 .54 1449.75
open | 870 .717006 .4112031 .63605 .0671 3.2192
english | 870 .3908046 .4882114 0 0 1
gdpdfratio~w | 870 1.043109 .1860681 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 Imports
. tsset ccode year
panel variable: ccode, 117100 to 725980
time variable: year, 1991 to 2000
.
. **I. Aggregate Imports
. xtgls lrimp limmig lgdp lgdpau lgdpdfrationew lpopau lpop lxrate1 lremote 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) = 8547.59
Log likelihood = -545.771 Prob > chi2 = 0.0000
------
lrimp | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .3260094 .0307823 10.59 0.000 .2656772 .3863415
lgdp | 1.199931 .0343128 34.97 0.000 1.132679 1.267183
lgdpau | .1403968 .6039806 0.23 0.816 -1.043383 1.324177
lgdpdfrati~w | -.932136 .2467347 -3.78 0.000 -1.415727 -.4485448
lpopau | -2.705855 2.08408 -1.30 0.194 -6.790577 1.378866
lpop | .0200217 .0421005 0.48 0.634 -.0624938 .1025372
lxrate1 | -.1281978 .0165704 -7.74 0.000 -.1606752 -.0957204
lremote | -.4215893 .0801864 -5.26 0.000 -.5787517 -.2644268
ldist | -2.116286 .1641019 -12.90 0.000 -2.437919 -1.794652
lopen | .274827 .0565322 4.86 0.000 .164026 .385628
english | .9243372 .1355875 6.82 0.000 .6585906 1.190084
white | 4.507847 .6113855 7.37 0.000 3.309553 5.70614
lwhitemg | -.4153134 .054069 -7.68 0.000 -.5212867 -.30934
_cons | 43.38488 19.20293 2.26 0.024 5.74782 81.02193
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1 lremote ldist
------+------
limmig | .000948
lgdp | -.000315 .001177
lgdpau | -.001046 .001431 .364793
lgdpdfrati~w | -.000833 .000198 -.009669 .060878
lpopau | .002235 -.008282 -1.23242 .050108 4.34339
lpop | -.000128 -.000804 .000162 .000151 -.000679 .001772
lxrate1 | .000093 .000173 .000357 .000185 -.002787 -.000113 .000275
lremote | .000417 -.000025 -.00057 -.00191 -.002832 -.00014 .000047 .00643
ldist | .001667 .001266 .000861 -.001252 -.019071 -.000014 .001698 .004201 .026929
lopen | -.000161 .000554 .002566 .000795 -.017295 .000419 .000165 .001458 .001162
english | -.001194 .003165 .002787 .002229 -.010024 -.001707 .000629 -.003746 .00425
white | .004634 -.00333 .002318 -.010612 -.021923 .005884 .000048 .0021 -.00566
lwhitemg | -.000576 .000288 -.000229 .000969 .002657 -.000479 -.000037 .000028 -.000162
_cons | -.026083 .073158 10.8518 -.614869 -39.389 .001007 .016373 -.029157 -.042429
| lopen english white lwhitemg _cons
------+------
lopen | .003196
english | -.001182 .018384
white | .000434 -.00785 .373792
lwhitemg | -.000129 .000811 -.032483 .002923
_cons | .178711 .032183 .289201 -.031919 368.753
.
. **II. Conservative Estimates
. *2.1. Aggregate reference priced Imports (conservative)
. xtgls lrrefp_cm limmig lgdp lgdpau lgdpdfrationew lpopau lpop lxrate1 lremote ldist lopen eng
> lish 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) = 68200.67
Log likelihood = -953.2094 Prob > chi2 = 0.0000
------
lrrefp_cm | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .0478909 .0138105 3.47 0.001 .0208228 .074959
lgdp | 1.636011 .051205 31.95 0.000 1.535651 1.736371
lgdpau | .9371724 .3550396 2.64 0.008 .2413075 1.633037
lgdpdfrati~w | -.4420735 .1463291 -3.02 0.003 -.7288732 -.1552738
lpopau | -6.614893 1.198427 -5.52 0.000 -8.963766 -4.266019
lpop | -.3958956 .0845502 -4.68 0.000 -.561611 -.2301803
lxrate1 | -.1119083 .0203278 -5.51 0.000 -.15175 -.0720666
lremote | -.9380786 .1006873 -9.32 0.000 -1.135422 -.7407352
ldist | -3.122014 .1567864 -19.91 0.000 -3.42931 -2.814719
lopen | -.0567694 .0265361 -2.14 0.032 -.1087793 -.0047595
english | 1.022467 .0859466 11.90 0.000 .8540147 1.190919
white | 4.249802 .7704722 5.52 0.000 2.739704 5.7599
lwhitemg | -.4207515 .0733557 -5.74 0.000 -.564526 -.276977
_cons | 96.89635 11.28768 8.58 0.000 74.77291 119.0198
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1 lremote ldist
------+------
limmig | .000191
lgdp | -.000248 .002622
lgdpau | -.001178 .001926 .126053
lgdpdfrati~w | -.000558 .00064 -.011372 .021412
lpopau | .004631 -.007854 -.416744 .022754 1.43623
lpop | .000147 -.004095 -.001776 .000199 .005435 .007149
lxrate1 | -.000023 .000292 -.000076 .000399 -.003031 -.000335 .000413
lremote | .000363 -.000081 -.006947 -.003368 .024342 -.000453 .000053 .010138
ldist | .000579 -.001733 -.006648 -.001594 .017048 .00277 .000517 .004883 .024582
lopen | .000039 -.000108 -.000919 .000887 .003411 .000276 -.000074 .000675 .000252
english | -.000403 .000311 .002959 .002515 -.019533 .00012 .001105 -.00263 .002168
white | .000908 -.011832 -.011315 -.005045 .046199 .017602 -.001045 .011064 -.026309
lwhitemg | -.000078 .000515 .000383 .000251 -.00266 -.000651 .000134 -.000121 .003791
_cons | -.051593 .10166 3.7317 -.070423 -13.2125 -.085204 .043792 -.347322 -.397209
| lopen english white lwhitemg _cons
------+------
lopen | .000704
english | -.000401 .007387
white | .001756 -.002908 .593627
lwhitemg | -.000118 .000467 -.054714 .005381
_cons | -.0433 .23451 -.314295 -.003575 127.412
.
.
. *2.2. Aggregate Differentiated Imports (conservative)
. xtgls lrdiff_cm limmig lgdp lgdpau lgdpdfrationew lpopau lpop lxrate1 lremote ldist lopen eng
> lish 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) = 7438.99
Log likelihood = -933.5973 Prob > chi2 = 0.0000
------
lrdiff_cm | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .1434085 .0265636 5.40 0.000 .0913447 .1954723
lgdp | 1.688818 .0723528 23.34 0.000 1.547009 1.830626
lgdpau | .0573534 .5969987 0.10 0.923 -1.112743 1.227449
lgdpdfrati~w | -.3397639 .2395152 -1.42 0.156 -.8092049 .1296772
lpopau | -2.243529 2.076974 -1.08 0.280 -6.314323 1.827265
lpop | -.6088193 .0797755 -7.63 0.000 -.7651764 -.4524622
lxrate1 | -.1569257 .0282395 -5.56 0.000 -.2122741 -.1015773
lremote | -.3715232 .1318315 -2.82 0.005 -.6299081 -.1131383
ldist | -3.772098 .3450864 -10.93 0.000 -4.448455 -3.095741
lopen | .0886185 .0457782 1.94 0.053 -.0011052 .1783421
english | .9292028 .1402462 6.63 0.000 .6543253 1.20408
white | 9.648564 1.898666 5.08 0.000 5.927247 13.36988
lwhitemg | -.8253581 .1899314 -4.35 0.000 -1.197617 -.4530994
_cons | 50.35854 19.63502 2.56 0.010 11.87461 88.84246
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1 lremote ldist
------+------
limmig | .000706
lgdp | -.001095 .005235
lgdpau | -.002055 .004926 .356407
lgdpdfrati~w | -.001014 .002384 -.021727 .057368
lpopau | .005529 -.023725 -1.20485 .075509 4.31382
lpop | .000739 -.004227 -.002945 -.001418 .012164 .006364
lxrate1 | .000045 .000494 .000287 .001025 -.00622 -.000757 .000797
lremote | -.000066 -.000616 -.006502 -.001544 .017506 -.001217 .000185 .01738
ldist | .003131 .00627 -.010143 -.002693 -.019588 -.000866 .001608 .008262 .119085
lopen | .000114 -.000635 .000384 .001739 -.002108 .001175 -.000207 .000494 -.000778
english | -.001204 .003579 .005626 .003649 -.031907 .000713 .001951 -.005133 .003878
white | .001542 -.029011 .006338 .000549 .00349 .022019 .004332 .012602 -.14067
lwhitemg | -.000133 .001517 -.001972 -.000535 .006379 -.00142 -.000451 .000927 .011173
_cons | -.056301 .161187 10.7592 -.731434 -39.6898 -.110702 .074981 -.318521 -.762101
| lopen english white lwhitemg _cons
------+------
lopen | .002096
english | -.001464 .019669
white | .003035 .013568 3.60493
lwhitemg | -.00019 -.002149 -.353453 .036074
_cons | .023704 .288222 1.27136 -.177277 385.534
.
. *2.3. Aggregate Homogenous Imports (conservative)
. xtgls lrhomo_cm limmig lgdp lgdpau lgdpdfrationew lpopau lpop lxrate1 lremote ldist lopen eng
> lish 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) = 2267.74
Log likelihood = -1116.588 Prob > chi2 = 0.0000
------
lrhomo_cm | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .099792 .0368546 2.71 0.007 .0275584 .1720256
lgdp | .9405085 .076171 12.35 0.000 .7912161 1.089801
lgdpau | -.3624065 .8376916 -0.43 0.665 -2.004252 1.279439
lgdpdfrati~w | -.4390123 .3430757 -1.28 0.201 -1.111428 .2334037
lpopau | -.0480644 2.868573 -0.02 0.987 -5.670364 5.574235
lpop | -.055162 .0944461 -0.58 0.559 -.240273 .129949
lxrate1 | -.145463 .0327165 -4.45 0.000 -.2095862 -.0813398
lremote | .4914816 .2272328 2.16 0.031 .0461134 .9368498
ldist | -1.423261 .3188851 -4.46 0.000 -2.048265 -.798258
lopen | .3611259 .0760924 4.75 0.000 .2119875 .5102644
english | 1.800599 .2368755 7.60 0.000 1.336332 2.264867
white | .7798108 2.255067 0.35 0.729 -3.640039 5.199661
lwhitemg | .2318945 .2011994 1.15 0.249 -.1624491 .626238
_cons | 2.1422 26.98451 0.08 0.937 -50.74647 55.03087
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1 lremote ldist
------+------
limmig | .001358
lgdp | -.00126 .005802
lgdpau | -.001596 .001221 .701727
lgdpdfrati~w | -7.8e-06 .000883 -.01794 .117701
lpopau | .003023 -.010207 -2.35849 .036486 8.22871
lpop | .000342 -.005291 .000666 -.000244 -.000758 .00892
lxrate1 | .000127 .000869 .000512 .001888 -.00832 -.001227 .00107
lremote | .001164 .000217 -.026708 -.014597 .087027 .000606 -.000897 .051635
ldist | .003786 -.007911 -.018872 -.005427 .052997 .013088 -.000059 .016045 .101688
lopen | .000195 -.001111 .005004 .00315 -.024035 .00306 -.000141 .001605 -.001524
english | -.002886 -.000018 .008636 .004504 -.020079 -.000457 .001509 -.014582 .012152
white | .003215 -.021342 .115933 .012461 -.446488 .016106 .000443 .039338 -.002642
lwhitemg | -.000443 .00068 -.012175 -.002625 .048694 -.000012 -.000205 -.00049 .003648
_cons | -.037569 .168364 21.118 -.092412 -75.7328 -.154216 .126676 -1.3481 -1.54547
| lopen english white lwhitemg _cons
------+------
lopen | .00579
english | -.001968 .05611
white | .006709 .042727 5.08533
lwhitemg | -.000368 -.003196 -.442325 .040481
_cons | .24493 .116369 4.23723 -.529844 728.164
.
. **III. Liberal Estimates
. *3.1. Aggregate reference priced Imports (liberal)
. xtgls lrrefp_lm limmig lgdp lgdpau lgdpdfrationew lpopau lpop lxrate1 lremote ldist lopen eng
> lish 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) = 57672.96
Log likelihood = -890.859 Prob > chi2 = 0.0000
------
lrrefp_lm | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .0253334 .014083 1.80 0.072 -.0022687 .0529356
lgdp | 1.571456 .0517604 30.36 0.000 1.470008 1.672905
lgdpau | .6223271 .3856631 1.61 0.107 -.1335586 1.378213
lgdpdfrati~w | -.2029542 .1340529 -1.51 0.130 -.4656931 .0597846
lpopau | -6.502382 1.304072 -4.99 0.000 -9.058317 -3.946448
lpop | -.1790225 .0887403 -2.02 0.044 -.3529503 -.0050947
lxrate1 | -.0361365 .017958 -2.01 0.044 -.0713334 -.0009395
lremote | -.5471132 .152035 -3.60 0.000 -.8450963 -.24913
ldist | -2.496797 .1642903 -15.20 0.000 -2.8188 -2.174794
lopen | -.0295811 .0292415 -1.01 0.312 -.0868935 .0277313
english | 1.092704 .1194794 9.15 0.000 .8585288 1.326879
white | 3.64994 .8784703 4.15 0.000 1.928169 5.37171
lwhitemg | -.271464 .0817813 -3.32 0.001 -.4317524 -.1111757
_cons | 91.51398 12.2632 7.46 0.000 67.47855 115.5494
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1 lremote ldist
------+------
limmig | .000198
lgdp | -.000211 .002679
lgdpau | -.000738 .00175 .148736
lgdpdfrati~w | -.000305 .000728 -.006439 .01797
lpopau | .002367 -.005991 -.493241 .010194 1.7006
lpop | .000133 -.004282 -.0012 -.000159 .002027 .007875
lxrate1 | .000012 .00019 -.000154 .000434 -.001951 -.000226 .000322
lremote | .000012 -.000659 -.016326 -.002634 .05697 -.000397 -.000063 .023115
ldist | .000923 -.005244 -.002795 .001001 -.001053 .009112 .000619 -.003189 .026991
lopen | .000013 -.00005 -.00084 .001123 .002854 .000239 -.000061 .00113 .000229
english | -.000324 -.000429 .003461 .002203 -.016378 .00003 .000848 -.004189 .00678
white | .000719 -.015141 -.016296 -.000223 .030325 .026521 .001988 .014671 .031768
lwhitemg | -.000108 .000729 -.000228 -.000275 .003161 -.001492 -.000207 .001122 -.002112
_cons | -.026773 .116411 4.43964 -.0176 -15.6767 -.112946 .028639 -.6654 -.174111
| lopen english white lwhitemg _cons
------+------
lopen | .000855
english | -.000507 .014275
white | .000933 .006253 .77171
lwhitemg | 9.5e-06 -.000306 -.068727 .006688
_cons | -.040739 .154935 -.595405 -.02775 150.386
.
. *3.2. Aggregate Differentiated Imports (liberal)
. xtgls lrdiff_lm limmig lgdp lgdpau lgdpdfrationew lpopau lpop lxrate1 lremote ldist lopen eng
> lish 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) = 7962.78
Log likelihood = -962.3471 Prob > chi2 = 0.0000
------
lrdiff_lm | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .2550143 .0326545 7.81 0.000 .1910127 .319016
lgdp | 1.550783 .073281 21.16 0.000 1.407155 1.694411
lgdpau | -.0930036 .6082252 -0.15 0.878 -1.285103 1.099096
lgdpdfrati~w | -.1493379 .2624208 -0.57 0.569 -.6636733 .3649974
lpopau | -1.38765 2.128286 -0.65 0.514 -5.559013 2.783714
lpop | -.4968342 .0808307 -6.15 0.000 -.6552594 -.338409
lxrate1 | -.1358424 .0280913 -4.84 0.000 -.1909004 -.0807844
lremote | -.3113203 .1217801 -2.56 0.011 -.5500049 -.0726357
ldist | -2.899695 .3353219 -8.65 0.000 -3.556914 -2.242476
lopen | .1196068 .0500782 2.39 0.017 .0214552 .2177583
english | .7805339 .1347623 5.79 0.000 .5164047 1.044663
white | 10.15949 1.876602 5.41 0.000 6.481416 13.83756
lwhitemg | -.8899438 .187156 -4.76 0.000 -1.256763 -.5231248
_cons | 31.77105 20.24481 1.57 0.117 -7.908048 71.45014
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1 lremote ldist
------+------
limmig | .001066
lgdp | -.001581 .00537
lgdpau | -.001676 .003156 .369938
lgdpdfrati~w | -.001275 .002978 -.024216 .068865
lpopau | .004648 -.017839 -1.25475 .092705 4.5296
lpop | .000924 -.004394 -.001207 -.001948 .007141 .006534
lxrate1 | .000093 .00033 -.000198 .0012 -.004799 -.000628 .000789
lremote | .00002 -.000546 -.00378 -.000821 .005719 -.000987 .000175 .01483
ldist | .004783 .001207 -.010591 -.002899 -.01409 .001149 .001532 .008622 .112441
lopen | .000135 -.000727 .00166 .001653 -.008836 .001432 -.000265 .000347 -.001096
english | -.00166 .003728 .002164 .004548 -.016568 -.00019 .001872 -.004283 -.000973
white | .000606 -.026587 .014013 .000964 -.000685 .019264 .004219 .012041 -.15605
lwhitemg | -4.6e-07 .001513 -.002145 -.000575 .003988 -.001231 -.000399 .000662 .014183
_cons | -.061985 .159311 11.2289 -.973227 -41.9905 -.093156 .066201 -.181529 -.707769
| lopen english white lwhitemg _cons
------+------
lopen | .002508
english | -.001625 .018161
white | .003641 .01184 3.52163
lwhitemg | -.00026 -.001745 -.345113 .035027
_cons | .104872 .176282 1.2864 -.163167 409.852
.
. *3.3. Aggregate Homogenous Imports (liberal)
. xtgls lrhomo_lm limmig lgdp lgdpau lgdpdfrationew lpopau lpop lxrate1 lremote ldist lopen eng
> lish 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) = 8149.09
Log likelihood = -1116.436 Prob > chi2 = 0.0000
------
lrhomo_lm | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .0224599 .0155711 1.44 0.149 -.0080589 .0529787
lgdp | 1.353289 .0495979 27.29 0.000 1.256079 1.450499
lgdpau | .5947003 .5102176 1.17 0.244 -.4053078 1.594708
lgdpdfrati~w | -.0919148 .167665 -0.55 0.584 -.4205321 .2367026
lpopau | -5.759166 1.734539 -3.32 0.001 -9.1588 -2.359533
lpop | .0686271 .069463 0.99 0.323 -.0675178 .204772
lxrate1 | -.0655285 .0200838 -3.26 0.001 -.1048919 -.026165
lremote | -.9095559 .1644153 -5.53 0.000 -1.231804 -.5873079
ldist | -3.448048 .2223776 -15.51 0.000 -3.8839 -3.012196
lopen | .0703112 .0420869 1.67 0.095 -.0121776 .1528001
english | 2.406046 .1344869 17.89 0.000 2.142457 2.669636
white | 3.918075 1.180313 3.32 0.001 1.604704 6.231447
lwhitemg | -.1962793 .0998534 -1.97 0.049 -.3919882 -.0005703
_cons | 92.0957 16.55961 5.56 0.000 59.63946 124.5519
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1 lremote ldist
------+------
limmig | .000242
lgdp | -.000397 .00246
lgdpau | -.000119 .000286 .260322
lgdpdfrati~w | -.000483 .000605 .00258 .028112
lpopau | -.001394 .000688 -.865408 -.007097 3.00862
lpop | .000196 -.002646 -.000573 .000181 -.000855 .004825
lxrate1 | -.000022 .000238 .000381 .000602 -.002676 -.000407 .000403
lremote | .000221 .000538 -.018609 -.001062 .05779 -.000748 -.000174 .027032
ldist | .000635 .000522 -.011684 -.001196 .023958 .000485 .000342 .017082 .049452
lopen | .000069 -.00032 .000037 .002109 .000374 .000716 -.000133 .000966 .000176
english | -.000785 .000541 .002429 .001675 -.009237 .001614 .001083 -.003907 .003037
white | .000287 -.013197 -.006877 -.000444 .01717 .02257 -.000092 .007401 -.011102
lwhitemg | -2.0e-06 .000668 -.000806 .000152 .002687 -.001446 .000072 .001188 .003138
_cons | .023975 -.041025 7.80146 .026067 -27.9369 .013533 .031266 -.870677 -.738635
| lopen english white lwhitemg _cons
------+------
lopen | .001771
english | -.001328 .018087
white | .000896 .029711 1.39314
lwhitemg | -8.3e-07 -.002567 -.113892 .009971
_cons | -.022184 .049269 -.139314 -.055887 274.221
.
. *IV. Aggregate NON-Manufacturing Imports (Sum of Sitc0,1,2,3,4)
. xtgls lrmnmf limmig lgdp lgdpau lgdpdfrationew lpopau lpop lxrate1 lremote 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) = 654.87
Log likelihood = -584.7872 Prob > chi2 = 0.0000
------
lrmnmf | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .2420627 .0433199 5.59 0.000 .1571573 .326968
lgdp | .2729686 .0812081 3.36 0.001 .1138037 .4321334
lgdpau | -1.547614 .2667449 -5.80 0.000 -2.070425 -1.024804
lgdpdfrati~w | -.6145831 .1714123 -3.59 0.000 -.950545 -.2786212
lpopau | 2.540045 .8845565 2.87 0.004 .8063457 4.273743
lpop | .4464492 .0897241 4.98 0.000 .2705932 .6223051
lxrate1 | -.1965568 .0237791 -8.27 0.000 -.243163 -.1499506
lremote | -.0343522 .074101 -0.46 0.643 -.1795875 .110883
ldist | -1.83089 .3751605 -4.88 0.000 -2.566191 -1.095589
lopen | .043393 .033655 1.29 0.197 -.0225695 .1093555
english | .730292 .2070268 3.53 0.000 .3245269 1.136057
white | 9.505388 .7335089 12.96 0.000 8.067737 10.94304
lwhitemg | -.9360019 .0724119 -12.93 0.000 -1.077927 -.7940771
_cons | 9.300547 8.715839 1.07 0.286 -7.782185 26.38328
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1 lremote ldist
------+------
limmig | .001877
lgdp | -.001952 .006595
lgdpau | -.000245 .000525 .071153
lgdpdfrati~w | -.000278 .001697 .009475 .029382
lpopau | .003367 -.008898 -.223259 -.010814 .78244
lpop | .000276 -.004558 -.002756 -.001745 .0042 .00805
lxrate1 | -.000081 .00038 .003625 .001787 -.01106 -.000563 .000565
lremote | .000128 .000165 -.002636 -.00189 .005404 -.000013 -.000133 .005491
ldist | .003685 -.010713 -.000616 -.003065 -.014615 .017258 -.000134 .004768 .140745
lopen | -.000239 -.000116 -.002912 .000259 .006303 .000635 -.000265 .000138 .000078
english | -.002089 .002584 .009111 .005005 -.041091 .004155 .001474 -.000547 .011412
white | .00824 -.01377 .027225 .012114 -.089191 .017235 .003717 -.000015 -.0208
lwhitemg | -.000737 .000147 -.002438 -.001456 .008875 -.000527 -.000375 .000307 .005267
_cons | -.057466 .163253 1.8695 -.07444 -6.84426 -.182576 .086702 -.115087 -1.17709
| lopen english white lwhitemg _cons
------+------
lopen | .001133
english | -.000647 .04286
white | -.002657 .049899 .538035
lwhitemg | .00031 -.00304 -.049924 .005243
_cons | -.033812 .191398 .885354 -.120856 75.9659
.
. *V. Aggregate Manufacturing Imports (Sum of Sitc5,6,7,8,9)
. xtgls lrmmfn limmig lgdp lgdpau lgdpdfrationew lpopau lpop lxrate1 lremote 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) = 3006.13
Log likelihood = -592.2044 Prob > chi2 = 0.0000
------
lrmmfn | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .1343606 .0319598 4.20 0.000 .0717205 .1970007
lgdp | .2581825 .0547381 4.72 0.000 .1508977 .3654673
lgdpau | -.1147826 .066736 -1.72 0.085 -.2455828 .0160176
lgdpdfrati~w | -.1240729 .0436951 -2.84 0.005 -.2097138 -.038432
lpopau | 2.502706 .2696489 9.28 0.000 1.974204 3.031208
lpop | .788804 .1035141 7.62 0.000 .5859202 .9916878
lxrate1 | -.0120402 .0085462 -1.41 0.159 -.0287905 .00471
lremote | .1398143 .0335118 4.17 0.000 .0741324 .2054962
ldist | -3.330816 .3444813 -9.67 0.000 -4.005987 -2.655645
lopen | -.0120848 .030784 -0.39 0.695 -.0724204 .0482508
english | .7380145 .2796783 2.64 0.008 .1898552 1.286174
white | 23.51869 2.972212 7.91 0.000 17.69326 29.34412
lwhitemg | -2.204127 .2756744 -8.00 0.000 -2.744439 -1.663815
_cons | -21.09605 5.138211 -4.11 0.000 -31.16676 -11.02534
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1 lremote ldist
------+------
limmig | .001021
lgdp | -.000602 .002996
lgdpau | -.000718 -.000438 .004454
lgdpdfrati~w | .000338 -.001171 .000893 .001909
lpopau | .00484 -.000403 -.015202 .000271 .072711
lpop | -.000245 -.002427 .001315 .000593 -.004823 .010715
lxrate1 | 5.1e-06 .000081 -.000048 .00003 .000686 -.00023 .000073
lremote | -.00034 .001242 -.000704 -.001069 -.000018 -.000801 .000038 .001123
ldist | .00358 -.00052 -.003112 .000121 .021314 -.001687 -.00012 -.000168 .118667
lopen | -.000347 -.000238 .000244 -.000447 -.004332 .001126 -.000174 .000216 -.000779
english | -.000699 -.000256 .000752 .000303 -.00576 .000393 .000043 -.000272 .055819
white | .003278 -.006332 .000869 .002326 -.000734 .028939 -.00058 -.002751 .021904
lwhitemg | -.000575 .00019 .000199 -.000109 -.00202 -.00302 .000055 .000143 -.004782
_cons | -.081565 -.014294 .164134 -.006571 -.954297 -.043915 -.007934 -.002101 -1.39036
| lopen english white lwhitemg _cons
------+------
lopen | .000948
english | -.000031 .07822
white | .001433 .039468 8.83405
lwhitemg | -3.7e-06 -.003005 -.807137 .075996
_cons | .062503 -.471118 -.554057 .12088 26.4012
.
.
. **VI. SITC-1 Digit Level Disaggregate Imports
. xtgls lrmsitc0 limmig lgdp lgdpau lgdpdfrationew lpopau lpop lxrate1 lremote ldist lopen engl
> ish 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) = 530.29
Log likelihood = -556.0496 Prob > chi2 = 0.0000
------
lrmsitc0 | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .5284371 .0500518 10.56 0.000 .4303375 .6265368
lgdp | .0096567 .0785994 0.12 0.902 -.1443952 .1637086
lgdpau | 2.054448 .8010856 2.56 0.010 .4843494 3.624547
lgdpdfrati~w | -.6743356 .2901241 -2.32 0.020 -1.242968 -.1057028
lpopau | -10.16679 2.754058 -3.69 0.000 -15.56464 -4.768937
lpop | .3394644 .0979523 3.47 0.001 .1474814 .5314474
lxrate1 | -.1099918 .0262278 -4.19 0.000 -.1613974 -.0585862
lremote | -.0051004 .2532829 -0.02 0.984 -.5015257 .4913249
ldist | -1.617908 .3175386 -5.10 0.000 -2.240272 -.9955437
lopen | .046953 .0541547 0.87 0.386 -.0591883 .1530943
english | -.0422012 .2253251 -0.19 0.851 -.4838304 .3994279
white | 9.397592 1.102976 8.52 0.000 7.235799 11.55938
lwhitemg | -.8508584 .097784 -8.70 0.000 -1.042512 -.6592053
_cons | 127.645 26.10101 4.89 0.000 76.488 178.8021
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1 lremote ldist
------+------
limmig | .002505
lgdp | -.001501 .006178
lgdpau | .000404 -.00022 .641738
lgdpdfrati~w | -.001493 .001815 -.019046 .084172
lpopau | -.005788 -.006008 -2.14416 .077073 7.58483
lpop | -.00023 -.004429 -.000679 -.0007 .000407 .009595
lxrate1 | .00015 -.000137 .000532 .000857 -.004904 -.000414 .000688
lremote | .001737 .004287 -.020889 -.012485 .057095 -.00304 .000381 .064152
ldist | .004978 .001412 -.008748 -.003774 -.013318 .003341 .000783 .030483 .100831
lopen | -.000285 .000751 .00038 -.000594 -.010443 .000585 6.4e-06 .001252 .002045
english | -.002277 .001922 .004511 .005485 -.022299 -.000192 .001124 -.01136 .019336
white | .013118 -.025938 .017362 -.0061 -.080987 .03099 .005838 .016886 .001278
lwhitemg | -.001314 .001308 -.002943 -.000244 .014538 -.001799 -.000487 .000764 .000141
_cons | .044152 -.005545 19.0262 -.745582 -69.8666 -.04478 .062267 -1.29241 -.890599
| lopen english white lwhitemg _cons
------+------
lopen | .002933
english | .000053 .050771
white | -.001704 .022605 1.21656
lwhitemg | .000083 -.001316 -.10343 .009562
_cons | .111241 .112272 .672505 -.159125 681.263
. xtgls lrmsitc1 limmig lgdp lgdpau lgdpdfrationew lpopau lpop lxrate1 lremote ldist lopen engl
> ish 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) = 1362.47
Log likelihood = -325.3061 Prob > chi2 = 0.0000
------
lrmsitc1 | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .0334335 .0165674 2.02 0.044 .0009621 .065905
lgdp | .2265748 .0547049 4.14 0.000 .1193551 .3337945
lgdpau | -.2416145 .296045 -0.82 0.414 -.8218521 .3386231
lgdpdfrati~w | -.3852257 .1913592 -2.01 0.044 -.7602828 -.0101686
lpopau | 2.484829 1.052579 2.36 0.018 .4218114 4.547846
lpop | .1223015 .0691872 1.77 0.077 -.0133028 .2579059
lxrate1 | -.0789663 .0181791 -4.34 0.000 -.1145968 -.0433359
lremote | -.1431215 .1080735 -1.32 0.185 -.3549416 .0686986
ldist | -1.292541 .2053112 -6.30 0.000 -1.694943 -.8901381
lopen | .0086149 .024889 0.35 0.729 -.0401666 .0573963
english | 1.995693 .2098511 9.51 0.000 1.584393 2.406994
white | 9.309398 1.758737 5.29 0.000 5.862336 12.75646
lwhitemg | -.6986255 .1810121 -3.86 0.000 -1.053403 -.3438482
_cons | -26.78172 10.6612 -2.51 0.012 -47.6773 -5.886146
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1 lremote ldist
------+------
limmig | .000274
lgdp | -.000298 .002993
lgdpau | .0002 -.001382 .087643
lgdpdfrati~w | -.000522 -.000171 -.001297 .036618
lpopau | -.000997 .00578 -.299605 .020805 1.10792
lpop | .000112 -.002865 .000865 .000792 -.006753 .004787
lxrate1 | -.000018 .000173 .001131 .000739 -.005354 -.000171 .00033
lremote | .000146 .000969 -.006302 -.003138 .022006 -.000636 -.000292 .01168
ldist | .000711 .000935 -.00175 -.001395 -.000411 .002357 -.000358 .000286 .042153
lopen | .000023 -.000259 -.000181 .001016 -.000708 .000335 -9.3e-06 -.000121 -.000051
english | -.000256 -.002547 .003512 .00348 -.010738 .004347 .000261 -.003834 .013479
white | .00155 -.02238 .013514 .003276 -.069653 .025022 .000941 .008669 -.022183
lwhitemg | -.000158 .00129 -.001105 -.000077 .005269 -.001729 -.000065 -.000269 .000738
_cons | .00738 -.096602 2.75502 -.319188 -10.7308 .060893 .062101 -.311652 -.409089
| lopen english white lwhitemg _cons
------+------
lopen | .000619
english | .00001 .044037
white | .001422 .072011 3.09316
lwhitemg | -.000078 -.006863 -.313794 .032765
_cons | .017914 -.028478 1.01445 -.06305 113.661
. xtgls lrmsitc2 limmig lgdp lgdpau lgdpdfrationew lpopau lpop lxrate1 lremote ldist lopen engl
> ish 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) = 1101.18
Log likelihood = -853.7158 Prob > chi2 = 0.0000
------
lrmsitc2 | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .1630807 .0643945 2.53 0.011 .0368698 .2892916
lgdp | .4831964 .108458 4.46 0.000 .2706227 .6957701
lgdpau | -2.52282 1.136764 -2.22 0.026 -4.750836 -.2948037
lgdpdfrati~w | -1.204553 .4467938 -2.70 0.007 -2.080252 -.3288531
lpopau | 5.385414 3.899727 1.38 0.167 -2.25791 13.02874
lpop | .2146599 .1233306 1.74 0.082 -.0270636 .4563835
lxrate1 | -.1540027 .0393122 -3.92 0.000 -.2310531 -.0769523
lremote | 1.924864 .2685889 7.17 0.000 1.39844 2.451289
ldist | -1.716886 .4754885 -3.61 0.000 -2.648827 -.784946
lopen | -.0257726 .0769533 -0.33 0.738 -.1765982 .1250531
english | .3329168 .2605532 1.28 0.201 -.1777582 .8435917
white | 11.42196 1.476602 7.74 0.000 8.527869 14.31604
lwhitemg | -.8612515 .1415828 -6.08 0.000 -1.138749 -.5837544
_cons | -34.03036 36.58684 -0.93 0.352 -105.7393 37.67854
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1 lremote ldist
------+------
limmig | .004147
lgdp | -.004425 .011763
lgdpau | -.002002 .00506 1.29223
lgdpdfrati~w | -.001822 .004279 -.008278 .199625
lpopau | .002577 -.024747 -4.32368 .076924 15.2079
lpop | .001654 -.010042 -.001914 -.002543 .008973 .01521
lxrate1 | .000079 .00154 .000817 .001541 -.00996 -.001449 .001545
lremote | .001642 -.002189 -.027942 -.017474 .068429 .00237 .00084 .07214
ldist | .012281 -.010918 -.010297 -.011327 -.00713 .014028 -.002444 .02502 .226089
lopen | .00034 -.00084 .007363 .001199 -.036094 .002169 -.000358 .00313 .004199
english | -.005775 .010743 .007191 .001549 -.026577 -.008491 -.000612 -.004202 .02634
white | .026599 -.049579 -.029947 -.032754 .028921 .048666 .004586 .111595 .139466
lwhitemg | -.00295 .003065 -.000445 .000976 .012189 -.002521 -.000743 -.004665 -.0172
_cons | -.067518 .307037 38.105 -1.05379 -139.138 -.265299 .141118 -1.25755 -2.00588
| lopen english white lwhitemg _cons
------+------
lopen | .005922
english | -.00089 .067888
white | .002451 .034364 2.18035
lwhitemg | -.000078 -.005547 -.199825 .020046
_cons | .326585 -.053848 -1.80473 .003605 1338.6
. xtgls lrmsitc3 limmig lgdp lgdpau lgdpdfrationew lpopau lpop lxrate1 lremote ldist lopen engl
> ish 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) = 557.08
Log likelihood = -147.4838 Prob > chi2 = 0.0000
------
lrmsitc3 | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .0346795 .0293433 1.18 0.237 -.0228324 .0921913
lgdp | .1637507 .0616872 2.65 0.008 .0428461 .2846553
lgdpau | .3948322 .4294273 0.92 0.358 -.4468299 1.236494
lgdpdfrati~w | .3535081 .1909595 1.85 0.064 -.0207656 .7277819
lpopau | 2.467667 1.514147 1.63 0.103 -.5000062 5.43534
lpop | .284615 .0818636 3.48 0.001 .1241654 .4450647
lxrate1 | -.0317691 .017024 -1.87 0.062 -.0651355 .0015972
lremote | -.0184125 .1328566 -0.14 0.890 -.2788067 .2419817
ldist | -2.205648 .4420806 -4.99 0.000 -3.07211 -1.339186
lopen | .0547087 .0399324 1.37 0.171 -.0235573 .1329747
english | .8057078 .1857382 4.34 0.000 .4416676 1.169748
white | 15.7701 1.227766 12.84 0.000 13.36372 18.17648
lwhitemg | -1.335338 .1150911 -11.60 0.000 -1.560913 -1.109764
_cons | -38.19908 15.43283 -2.48 0.013 -68.44687 -7.95129
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1 lremote ldist
------+------
limmig | .000861
lgdp | -.000701 .003805
lgdpau | -.000538 -.000093 .184408
lgdpdfrati~w | -.000764 .001126 -.001072 .036466
lpopau | .001134 .001936 -.618756 .018701 2.29264
lpop | -.00007 -.002795 .000466 .000413 -.006732 .006702
lxrate1 | .000054 .000111 .0002 .000598 -.00279 -.000124 .00029
lremote | .000865 .00233 -.007421 -.002954 .021826 -.001795 .000113 .017651
ldist | .002553 -.003896 -.00989 -.007413 -.011018 .010771 .00011 .017593 .195435
lopen | 2.8e-06 -.00019 .000294 .000242 -.005289 .000676 -.000053 -.000059 .000457
english | -.001283 -.00085 .00309 .002627 -.013707 .004627 .000136 -.005108 .006014
white | .004528 -.01833 .031518 -.005256 -.280736 .026521 .003679 -.006043 -.014958
lwhitemg | -.000512 .001011 -.00326 .000289 .028058 -.002055 -.000395 .000664 .001892
_cons | -.023633 -.051385 5.58265 -.253192 -21.8383 -.030681 .036685 -.512848 -1.66903
| lopen english white lwhitemg _cons
------+------
lopen | .001595
english | .000183 .034499
white | .000326 .044894 1.50741
lwhitemg | .000016 -.003756 -.13798 .013246
_cons | .0708 .074157 3.9739 -.389717 238.172
. xtgls lrmsitc4 limmig lgdp lgdpau lgdpdfrationew lpopau lpop lxrate1 lremote ldist lopen engl
> ish 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) = 262.83
Log likelihood = 168.4208 Prob > chi2 = 0.0000
------
lrmsitc4 | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .0027084 .0192519 0.14 0.888 -.0350246 .0404414
lgdp | .2743873 .0500622 5.48 0.000 .1762673 .3725073
lgdpau | -.2893652 .3375444 -0.86 0.391 -.95094 .3722096
lgdpdfrati~w | -.0773068 .1434798 -0.54 0.590 -.358522 .2039084
lpopau | 4.274693 1.235579 3.46 0.001 1.853003 6.696384
lpop | -.0496623 .0586281 -0.85 0.397 -.1645712 .0652467
lxrate1 | -.1035262 .0155685 -6.65 0.000 -.1340398 -.0730126
lremote | .3083806 .1233617 2.50 0.012 .0665961 .5501652
ldist | -1.216959 .2804779 -4.34 0.000 -1.766686 -.6672328
lopen | .0277961 .0268646 1.03 0.301 -.0248574 .0804497
english | .2115935 .1629626 1.30 0.194 -.1078073 .5309944
white | 9.17775 2.081961 4.41 0.000 5.097181 13.25832
lwhitemg | -.7841032 .1987889 -3.94 0.000 -1.173722 -.3944842
_cons | -58.83171 13.15828 -4.47 0.000 -84.62147 -33.04194
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1 lremote ldist
------+------
limmig | .000371
lgdp | -.000363 .002506
lgdpau | .000359 -.000517 .113936
lgdpdfrati~w | -.000446 .00042 -.005753 .020586
lpopau | -.00308 .003167 -.39214 .02732 1.52666
lpop | .00004 -.002091 -.000274 .000035 .002654 .003437
lxrate1 | 5.5e-06 .000011 .000519 .000464 -.004514 -.000139 .000242
lremote | .000264 .001662 -.006314 -.000949 .02093 -.001556 -.000031 .015218
ldist | .001596 -.001684 -.001236 -.001122 -.001486 .004773 .000085 .00597 .078668
lopen | -4.7e-06 -.000034 -.000026 .000231 -.000875 .000199 -.000029 .000083 -.000472
english | -.000433 -.001677 -.000323 .00092 .021735 .004648 .000204 -.000972 .017455
white | .002732 -.014505 .015951 -.005126 -.133474 .01362 .001895 .00032 .015578
lwhitemg | -.000316 .000898 -.001932 .000509 .013466 -.001073 -.000138 .000565 -.002621
_cons | .030491 -.058461 3.60084 -.314424 -15.3191 -.076518 .061079 -.383646 -.793839
| lopen english white lwhitemg _cons
------+------
lopen | .000722
english | -.000158 .026557
white | -.000388 .030628 4.33456
lwhitemg | .000068 -.002879 -.407171 .039517
_cons | .016942 -.551074 1.72896 -.153861 173.14
. xtgls lrmsitc5 limmig lgdp lgdpau lgdpdfrationew lpopau lpop lxrate1 lremote ldist lopen engl
> ish 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) = 481.66
Log likelihood = -657.733 Prob > chi2 = 0.0000
------
lrmsitc5 | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .1603702 .0502578 3.19 0.001 .0618667 .2588738
lgdp | .7323467 .1010161 7.25 0.000 .5343588 .9303346
lgdpau | -.4829176 .6367745 -0.76 0.448 -1.730973 .7651375
lgdpdfrati~w | -.3467119 .2631339 -1.32 0.188 -.8624448 .1690209
lpopau | 3.546941 2.190128 1.62 0.105 -.7456302 7.839512
lpop | -.3090437 .1451324 -2.13 0.033 -.593498 -.0245894
lxrate1 | -.1395642 .0310073 -4.50 0.000 -.2003373 -.0787911
lremote | .1343307 .2251745 0.60 0.551 -.3070032 .5756646
ldist | -3.584422 .7024326 -5.10 0.000 -4.961165 -2.20768
lopen | .0286213 .0593445 0.48 0.630 -.0876917 .1449343
english | -.4774971 .4313911 -1.11 0.268 -1.323008 .368014
white | 20.31905 4.191419 4.85 0.000 12.10402 28.53409
lwhitemg | -1.799409 .3854529 -4.67 0.000 -2.554883 -1.043935
_cons | -21.96038 21.78667 -1.01 0.313 -64.66147 20.74071
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1 lremote ldist
------+------
limmig | .002526
lgdp | -.002 .010204
lgdpau | .001327 -.001506 .405482
lgdpdfrati~w | -.001607 .002742 -.008971 .069239
lpopau | -.009253 .00277 -1.34713 .051431 4.79666
lpop | -.000114 -.007385 -.001471 -.001515 -.006943 .021063
lxrate1 | .000113 .000455 .001725 .001112 -.00929 -.000813 .000961
lremote | .000947 .004253 -.019493 -.011482 .038321 -.002964 .000578 .050704
ldist | .010924 .013203 -.004834 -.003987 -.048695 .006338 -.000102 .029097 .493412
lopen | .000466 -.001019 -.00092 -.000391 -.008531 .00165 -.000226 .000487 .002842
english | -.005657 .00286 .001119 .005498 -.013168 .017133 .000622 -.003981 .13396
white | .006057 -.029625 .119408 .017858 -.372637 .068205 .005425 .025234 .253189
lwhitemg | -.001151 .000929 -.012563 -.002798 .041292 -.005283 -.000568 -.000106 -.040066
_cons | .043431 -.277712 11.9786 -.584671 -44.0444 -.045355 .101773 -.89112 -4.49366
| lopen english white lwhitemg _cons
------+------
lopen | .003522
english | -.001503 .186098
white | .003597 .290556 17.568
lwhitemg | -.000239 -.031898 -1.5883 .148574
_cons | .133041 -1.40876 -.153868 .107923 474.659
. xtgls lrmsitc6 limmig lgdp lgdpau lgdpdfrationew lpopau lpop lxrate1 lremote ldist lopen engl
> ish 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) = 1143.75
Log likelihood = -559.0521 Prob > chi2 = 0.0000
------
lrmsitc6 | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .1816437 .0459915 3.95 0.000 .091502 .2717853
lgdp | .6471244 .1004156 6.44 0.000 .4503134 .8439355
lgdpau | .5702019 .5858738 0.97 0.330 -.5780896 1.718493
lgdpdfrati~w | -.0360705 .2586602 -0.14 0.889 -.5430352 .4708942
lpopau | -2.618519 2.024955 -1.29 0.196 -6.587359 1.35032
lpop | .4160408 .1332441 3.12 0.002 .1548872 .6771945
lxrate1 | -.0743823 .0276195 -2.69 0.007 -.1285155 -.020249
lremote | -.1412555 .2112879 -0.67 0.504 -.5553722 .2728613
ldist | -2.608399 .4721857 -5.52 0.000 -3.533866 -1.682932
lopen | -.0869591 .0695414 -1.25 0.211 -.2232576 .0493395
english | 1.167197 .3253196 3.59 0.000 .5295822 1.804811
white | 23.36135 3.159705 7.39 0.000 17.16845 29.55426
lwhitemg | -2.22398 .2804408 -7.93 0.000 -2.773634 -1.674326
_cons | 36.35581 19.68432 1.85 0.065 -2.224747 74.93636
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1 lremote ldist
------+------
limmig | .002115
lgdp | -.001851 .010083
lgdpau | -.002143 .004616 .343248
lgdpdfrati~w | -.001431 .002315 -.005345 .066905
lpopau | .006722 -.03216 -1.14617 .021128 4.10044
lpop | .000585 -.008669 -.003204 -.001652 .015914 .017754
lxrate1 | .000016 .000601 .000617 .001007 -.005619 -.000878 .000763
lremote | .000113 .003919 -.017093 -.015024 .036879 -.003999 .000698 .044643
ldist | .008561 -.003315 -.008727 -.000587 .002172 .02155 -.000306 .000464 .222959
lopen | .000255 -.000073 .000284 .001708 -.011837 .001352 -.000065 .001219 .001963
english | -.003398 .00263 .006044 .004782 -.024883 -.001556 .000686 -.005852 .054951
white | .006035 -.035686 .016312 -.008944 -.010314 .059781 .002982 .017023 .050098
lwhitemg | -.000978 .001296 -.003105 -.0006 .010107 -.004585 -.000253 .001007 -.010873
_cons | -.11406 .325773 10.2014 -.160183 -37.878 -.433617 .07055 -.570761 -2.24594
| lopen english white lwhitemg _cons
------+------
lopen | .004836
english | -.001676 .105833
white | .004404 .013196 9.98373
lwhitemg | -.000511 .000562 -.869753 .078647
_cons | .14022 -.268967 -1.08264 .058245 387.472
. xtgls lrmsitc7 limmig lgdp lgdpau lgdpdfrationew lpopau lpop lxrate1 lremote ldist lopen engl
> ish 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) = 1645.80
Log likelihood = -734.7284 Prob > chi2 = 0.0000
------
lrmsitc7 | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .0646736 .0337072 1.92 0.055 -.0013913 .1307385
lgdp | 1.056175 .0976663 10.81 0.000 .8647527 1.247598
lgdpau | .6329545 .6824837 0.93 0.354 -.7046889 1.970598
lgdpdfrati~w | -.1053819 .2756318 -0.38 0.702 -.6456102 .4348465
lpopau | 3.558645 2.375184 1.50 0.134 -1.09663 8.21392
lpop | -.5297943 .1432258 -3.70 0.000 -.8105117 -.249077
lxrate1 | -.1420784 .0234144 -6.07 0.000 -.1879698 -.0961871
lremote | -.3427078 .1884666 -1.82 0.069 -.7120956 .0266801
ldist | -1.713243 .7347463 -2.33 0.020 -3.153319 -.2731667
lopen | -.0450438 .0715612 -0.63 0.529 -.1853011 .0952134
english | .0960163 .3360123 0.29 0.775 -.5625557 .7545883
white | 28.07377 2.655611 10.57 0.000 22.86887 33.27867
lwhitemg | -2.621473 .2552035 -10.27 0.000 -3.121663 -2.121283
_cons | -69.0622 23.8189 -2.90 0.004 -115.7464 -22.37802
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1 lremote ldist
------+------
limmig | .001136
lgdp | -.001896 .009539
lgdpau | -.000124 .000474 .465784
lgdpdfrati~w | -.001968 .003618 -.014277 .075973
lpopau | -.00588 -.007388 -1.55628 .060399 5.6415
lpop | .001703 -.011603 -.003414 -.002917 .023702 .020514
lxrate1 | .00002 .000411 .001001 .000855 -.009802 -.000791 .000548
lremote | .001238 .004227 -.017203 -.004353 .017572 -.003576 .000313 .03552
ldist | .006252 .013314 -.025578 -.004469 -.046357 .009421 .001147 .06446 .539852
lopen | .000264 -.000632 -.001869 .004681 -.002759 .001002 -.000271 .001355 .001956
english | -.001183 .003383 .003282 .00365 -.012465 -.000207 .001032 .001361 .06732
white | .016355 -.055634 .040234 -.026911 -.367472 .069827 .007431 .029981 .090671
lwhitemg | -.001471 .003769 -.004962 .002095 .0413 -.005128 -.000725 -.002086 -.01638
_cons | .042579 -.082222 14.044 -.650869 -52.6908 -.425117 .122393 -.808304 -4.77207
| lopen english white lwhitemg _cons
------+------
lopen | .005121
english | -.001339 .112904
white | -.005999 .206221 7.05227
lwhitemg | .000783 -.023202 -.667166 .065129
_cons | .061725 -.619334 3.96489 -.37511 567.34
. xtgls lrmsitc8 limmig lgdp lgdpau lgdpdfrationew lpopau lpop lxrate1 lremote ldist lopen engl
> ish 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) = 517.67
Log likelihood = -575.2836 Prob > chi2 = 0.0000
------
lrmsitc8 | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .3906753 .0589353 6.63 0.000 .2751642 .5061864
lgdp | .2533738 .0994775 2.55 0.011 .0584014 .4483462
lgdpau | 1.030802 .7374717 1.40 0.162 -.4146162 2.47622
lgdpdfrati~w | -.5690645 .3168812 -1.80 0.073 -1.19014 .0520111
lpopau | -4.303356 2.551063 -1.69 0.092 -9.303347 .6966361
lpop | .3296741 .1065493 3.09 0.002 .1208414 .5385069
lxrate1 | -.0769324 .0344965 -2.23 0.026 -.1445442 -.0093206
lremote | .0301444 .2316281 0.13 0.896 -.4238383 .4841271
ldist | -1.682417 .6181954 -2.72 0.006 -2.894057 -.470776
lopen | .0828388 .0735895 1.13 0.260 -.061394 .2270716
english | -.1497654 .2878068 -0.52 0.603 -.7138562 .4143255
white | 19.58951 2.070999 9.46 0.000 15.53043 23.6486
lwhitemg | -1.823423 .1961876 -9.29 0.000 -2.207944 -1.438903
_cons | 52.05084 24.12628 2.16 0.031 4.764205 99.33748
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1 lremote ldist
------+------
limmig | .003473
lgdp | -.003165 .009896
lgdpau | -.002446 .006888 .543864
lgdpdfrati~w | -.002553 .006146 -.009815 .100414
lpopau | .005593 -.03705 -1.82122 .04868 6.50792
lpop | .001138 -.006323 -.004146 -.003786 .010576 .011353
lxrate1 | .000299 .000438 -.000274 .000728 -.003492 -.000641 .00119
lremote | .000142 .002947 -.008829 -.018239 -.001372 .000261 .00149 .053652
ldist | .012015 .002967 -.000801 -.004943 -.098222 .008361 .000038 .02786 .382166
lopen | -.00029 .000828 .002532 .000368 -.024993 .001822 -.000161 .002142 .005244
english | -.003764 .007482 .007302 .003867 -.032936 -.000316 -.00158 .004862 .101161
white | .022023 -.040245 -.00827 -.076075 .114246 .011838 -.000442 .115998 .172343
lwhitemg | -.002582 .00219 -.001226 .004375 .001717 -.000217 -.000243 -.007692 -.03035
_cons | -.110119 .267894 15.9652 -.508781 -58.6868 -.186972 .047185 -.543686 -2.49758
| lopen english white lwhitemg _cons
------+------
lopen | .005415
english | .000172 .082833
white | -.009603 .136494 4.28904
lwhitemg | .000781 -.017061 -.396099 .03849
_cons | .238438 -.805271 -3.73993 .331238 582.077
. xtgls lrmsitc9 limmig lgdp lgdpau lgdpdfrationew lpopau lpop lxrate1 lremote ldist lopen engl
> ish 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) = 1462.06
Log likelihood = -269.6934 Prob > chi2 = 0.0000
------
lrmsitc9 | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | -.0014623 .0250074 -0.06 0.953 -.0504758 .0475513
lgdp | .4437787 .0851767 5.21 0.000 .2768355 .6107219
lgdpau | -.408512 .5388738 -0.76 0.448 -1.464685 .6476611
lgdpdfrati~w | .1686732 .2403002 0.70 0.483 -.3023066 .6396529
lpopau | 1.427238 1.857033 0.77 0.442 -2.212479 5.066956
lpop | -.2154929 .1226501 -1.76 0.079 -.4558828 .0248969
lxrate1 | -.0415417 .024053 -1.73 0.084 -.0886847 .0056014
lremote | -.0256926 .1820929 -0.14 0.888 -.3825882 .331203
ldist | -3.818218 .5263685 -7.25 0.000 -4.849881 -2.786555
lopen | .012122 .0532269 0.23 0.820 -.0922008 .1164448
english | .023319 .2963282 0.08 0.937 -.5574737 .6041116
white | 15.9662 2.746215 5.81 0.000 10.58372 21.34869
lwhitemg | -1.152998 .2962158 -3.89 0.000 -1.733571 -.572426
_cons | 18.38177 18.4806 0.99 0.320 -17.83954 54.60308
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1 lremote ldist
------+------
limmig | .000625
lgdp | -.000789 .007255
lgdpau | .00012 -.002084 .290385
lgdpdfrati~w | -.001042 .002734 -.011064 .057744
lpopau | -.001453 .000113 -.968997 .056722 3.44857
lpop | .000248 -.00675 -.000169 -.001194 -.002803 .015043
lxrate1 | -.000028 .000211 .001456 .001176 -.007139 -.000623 .000579
lremote | .000179 .002566 -.019828 -.004637 .058181 -.003063 -.000173 .033158
ldist | .00274 .003492 -.012346 -.002142 -.010929 .019201 -.000506 .015519 .277064
lopen | .000061 -.000178 -.002363 .001338 .003117 .000992 -.000046 .000174 .001236
english | -.001251 .001083 .001581 .002032 -.003889 .004046 .000652 .000225 .057066
white | .004863 -.038203 .052095 -.011433 -.329073 .065898 .002149 -.006234 .14832
lwhitemg | -.000517 .001584 -.00648 .00025 .040475 -.005253 -.000027 .003576 -.019547
_cons | .005298 -.056901 8.80007 -.69145 -32.1884 -.188855 .087934 -.889352 -2.68228
| lopen english white lwhitemg _cons
------+------
lopen | .002833
english | .000224 .08781
white | -.001362 .09679 7.5417
lwhitemg | .000203 -.009812 -.802939 .087744
_cons | -.014685 -.623902 2.51382 -.297019 341.533
.
. clear
. insheet using k:\book1.txt
(104 vars, 1010 obs)
.
. *Dropping NewZealand
. drop if ccode==165620
(10 observations deleted)
.
.
. *Descriptive stats after dropping
. tabstat rimp immig gdp gdpau gdpdefnew gdpdfau pop popau xrate1 remote dist open english gdpdfration
> ew white whitemg, stat(n mean sd median min max) col(stat)
variable | N mean sd p50 min max
------+------
rimp | 1000 466980 1549531 7348 0 1.39e+07
immig | 1000 30446.49 113907.5 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 105.58 16.87347 102.6999 60.87417 207.3465
gdpdfau | 1000 100.7173 4.633489 100.8223 94.42464 109.9797
pop | 1000 4.96e+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 1043.102 10901.71 16.2185 .0068 270182.6
remote | 1000 6683.032 4109.312 6764 1293 39620
dist | 1000 13479.18 3356.168 14305 2410 17972
open | 1000 .7095016 .3897423 .63885 .0671 3.2192
english | 1000 .37 .4830459 0 0 1
gdpdfratio~w | 1000 1.051304 .1807361 1.015772 .5844526 2.009028
white | 1000 .12 .3251241 0 0 1
whitemg | 1000 17486.03 112975.6 0 0 1137050
------
.
. sort white
. *IIIB. Descriptives Original Unites(sub sample for "white" and "non-white" countries)--RHS Variables
> :
. by white: tabstat rimp immig gdp gdpau gdpdefnew gdpdfau pop popau xrate1 remote dist phone open eng
> lish gdpdfrationew white whitemg, stat(n mean sd median min max) col(stat)
------
-> white = 0
variable | N mean sd p50 min max
------+------
rimp | 880 400345.4 1589043 3126 0 1.39e+07
immig | 880 14727.79 27016.52 1505 0 158613
gdp | 880 2.35e+11 9.96e+11 1.05e+10 1.92e+08 8.99e+12
gdpau | 880 3.83e+11 4.44e+10 3.80e+11 3.19e+11 4.52e+11
gdpdefnew | 880 104.8121 17.21914 101.7094 60.87417 207.3465
gdpdfau | 880 100.7173 4.633806 100.8223 94.42464 109.9797
pop | 880 5.29e+07 1.64e+08 1.05e+07 41000 1.26e+09
popau | 880 1.82e+07 612835.6 1.82e+07 1.73e+07 1.92e+07
xrate1 | 880 1169.546 11615.77 21.6609 .0068 270182.6
remote | 880 7159.151 4093.339 6938.5 1293 39620
dist | 880 13201.9 3402.569 14045.5 2410 17972
phone | 880 157.5574 241.028 49.13 .54 1449.75
open | 880 .7155966 .4091255 .63385 .0671 3.2192
english | 880 .3863636 .4871925 0 0 1
gdpdfratio~w | 880 1.043893 .185446 1 .5844526 2.009028
white | 880 0 0 0 0 0
whitemg | 880 0 0 0 0 0
------
------
-> white = 1
variable | N mean sd p50 min max
------+------
rimp | 120 955633.2 1109756 503533 40432 3843839
immig | 120 145717 297164 17525 2612 1137050
gdp | 120 5.97e+11 6.68e+11 2.91e+11 1.13e+11 2.69e+12
gdpau | 120 3.83e+11 4.46e+10 3.80e+11 3.19e+11 4.52e+11
gdpdefnew | 120 111.2115 12.79521 111.7829 85.45601 143.9587
gdpdfau | 120 100.7173 4.65059 100.8223 94.42464 109.9797
pop | 120 2.51e+07 2.58e+07 9558000 4261700 8.22e+07
popau | 120 1.82e+07 615055.4 1.82e+07 1.73e+07 1.92e+07
xrate1 | 120 115.8492 304.1192 4.6693 .3774 1261.556
remote | 120 3191.492 2006.623 2809.5 1530 9629
dist | 120 15512.58 2074.596 15956 9022 17493
phone | 120 744.0325 275.7779 656.67 343.99 1487.08
open | 120 .664805 .1910713 .65115 .3517 1.2967
english | 120 .25 .4348283 0 0 1
gdpdfratio~w | 120 1.105647 .1296785 1.093836 .8254872 1.441221
white | 120 1 0 1 1 1
whitemg | 120 145717 297164 17525 2612 1137050
------
.
.
.
. **Regression of Imports
. tsset ccode year
panel variable: ccode, 117100 to 725980
time variable: year, 1991 to 2000
.
.
. **I. Aggregate Imports
. xtgls lrimp limmig lgdp lgdpau lgdpdfrationew lpopau lpop lxrate1 lremote ldist lopen english
> white lwhitemg, igls panels(hetero)corr(psar1)nolog
Cross-sectional time-series FGLS regression
Coefficients: generalized least squares
Panels: heteroskedastic