Poland to Tunisia
Poland to Tunisia
------
log: K:\Poland_to_Tunisia.log
opened on: 26 Jul 2006, 06:13:31
. *Dropping Poland
. drop if ccode==446340
(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 490922 1561266 7348 0 1.39e+07
immig | 1000 32791.29 117035.8 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 105.7497 16.89127 102.9662 60.87417 207.3465
gdpdfau | 1000 100.7173 4.633489 100.8223 94.42464 109.9797
pop | 1000 4.92e+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 1043.098 10901.71 16.2185 .0068 270182.6
remote | 1000 6781.544 4122.781 6797 1293 39620
dist | 1000 13479.17 3356.201 14305 2409 17972
open | 1000 .7101357 .3893064 .6384 .0671 3.2192
english | 1000 .38 .4856293 0 0 1
gdpdfratio~w | 1000 1.052945 .1806539 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 404630.1 1597653 2944.5 0 1.39e+07
immig | 870 14126.02 26576.4 1403.5 0 158613
gdp | 870 2.36e+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 | 870 104.8848 17.24944 101.7385 60.87417 207.3465
gdpdfau | 870 100.7173 4.633836 100.8223 94.42464 109.9797
pop | 870 5.31e+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 1182.97 11681.74 22.9426 .0068 270182.6
remote | 870 7214.221 4084.239 6955 1293 39620
dist | 870 13325.94 3217.931 14051 2870 17972
phone | 870 156.9752 242.0281 47.025 .54 1449.75
open | 870 .7178359 .4107191 .6373 .0671 3.2192
english | 870 .3908046 .4882114 0 0 1
gdpdfratio~w | 870 1.044572 .1855105 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 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) = 5865.73
Log likelihood = -537.1581 Prob > chi2 = 0.0000
------
lrimp | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .3974888 .0312854 12.71 0.000 .3361706 .4588071
lgdp | 1.201327 .0362783 33.11 0.000 1.130223 1.272432
lgdpau | .0348287 .6089451 0.06 0.954 -1.158682 1.228339
lgdpdfrati~w | -1.09817 .2528901 -4.34 0.000 -1.593826 -.6025148
lpopau | -2.670279 2.096184 -1.27 0.203 -6.778724 1.438166
lpop | -.0407511 .038365 -1.06 0.288 -.115945 .0344429
lxrate1 | -.1464865 .0176466 -8.30 0.000 -.1810732 -.1118998
lremote | -.3108773 .1018278 -3.05 0.002 -.510456 -.1112985
ldist | -2.207786 .1292082 -17.09 0.000 -2.46103 -1.954543
lopen | .3334687 .0567749 5.87 0.000 .222192 .4447454
english | .5560371 .1305763 4.26 0.000 .3001123 .811962
white | 5.9493 .6135185 9.70 0.000 4.746825 7.151774
lwhitemg | -.5648669 .0570059 -9.91 0.000 -.6765965 -.4531373
_cons | 46.29129 19.60579 2.36 0.018 7.86465 84.71792
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .000979
lgdp | -.000505 .001316
lgdpau | -.001304 .001491 .370814
lgdpdfrati~w | -.000856 .000432 -.007101 .063953
lpopau | .004099 -.007599 -1.24824 .04051 4.39399
lpop | -.000129 -.000669 -.000124 .000197 -.000045 .001472
lxrate1 | .000023 .000099 .000381 .000455 -.001928 -.000192 .000311
lremote | .000549 -.000724 -.002888 -.003438 .007655 .000949 -.000537
ldist | .001191 -.000337 -.005842 -.002316 .02099 -.000077 -.000215
lopen | -.000362 .000258 .002895 .001036 -.017546 .000735 .000074
english | -.000914 .002669 .002496 .004019 -.010981 -.001295 .000726
white | .0053 -.007376 .00689 -.003335 -.028059 .004414 .000708
lwhitemg | -.000595 .000568 -.000708 .000265 .002983 -.00016 -.000073
_cons | -.042372 .077728 11.0421 -.510893 -40.3183 -.009686 .027635
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .010369
ldist | .008059 .016695
lopen | .000827 -.001149 .003223
english | -.007079 .000508 -.000256 .01705
white | -.014062 -.044642 .001728 -.020555 .376405
lwhitemg | .001626 .004262 -.00013 .001743 -.034378 .00325
_cons | -.209734 -.419368 .204868 .121091 .894654 -.092005 384.387
.
. **II. Conservative Estimates
. *2.1. Aggregate reference priced Imports (conservative)
. xtgls lrrefp_cm limmig lgdp lgdpau lgdpdfrationew lpopau lpop lxrate1 l
> remote ldist lopen english white lwhitemg, igls panels(hetero)corr(psar1)nolog
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) = 122642.33
Log likelihood = -955.8052 Prob > chi2 = 0.0000
------
lrrefp_cm | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .0467599 .0132716 3.52 0.000 .0207481 .0727718
lgdp | 1.626082 .0395969 41.07 0.000 1.548474 1.703691
lgdpau | .9290877 .3447732 2.69 0.007 .2533446 1.604831
lgdpdfrati~w | -.5750691 .1494643 -3.85 0.000 -.8680138 -.2821245
lpopau | -6.671545 1.164875 -5.73 0.000 -8.954658 -4.388432
lpop | -.2297318 .0706011 -3.25 0.001 -.3681074 -.0913563
lxrate1 | -.1393273 .019163 -7.27 0.000 -.1768861 -.1017686
lremote | -.8112077 .0985586 -8.23 0.000 -1.004379 -.6180364
ldist | -3.426114 .2023666 -16.93 0.000 -3.822745 -3.029482
lopen | -.0581455 .0263516 -2.21 0.027 -.1097937 -.0064973
english | 1.048204 .0973159 10.77 0.000 .8574688 1.23894
white | 5.816719 .7707639 7.55 0.000 4.306049 7.327388
lwhitemg | -.5879883 .0750131 -7.84 0.000 -.7350113 -.4409653
_cons | 97.95124 10.98317 8.92 0.000 76.42462 119.4779
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .000176
lgdp | -.00016 .001568
lgdpau | -.001212 .000872 .118869
lgdpdfrati~w | -.000649 .000141 -.011325 .02234
lpopau | .00486 -.004472 -.392986 .024114 1.35693
lpop | .000036 -.002304 -.000465 .000125 .0001 .004985
lxrate1 | -.000034 .000237 .000067 .000426 -.002969 -.000338 .000367
lremote | .000552 .000921 -.006486 -.004842 .02144 -.00061 -.000058
ldist | .000306 .00288 -.005271 -.005566 .002032 .001054 .000603
lopen | .000045 .000039 -.001015 .000768 .00353 .000152 -.00007
english | -.000494 .001197 .003408 .001461 -.022097 -.00013 .00096
white | .001467 -.011037 -.010037 -.000068 .044446 .011666 -.000026
lwhitemg | -.000141 .000873 .000761 -.00011 -.004288 -.000719 .000059
_cons | -.053543 .015617 3.51077 -.032098 -12.3428 -.018038 .040465
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .009714
ldist | .011662 .040952
lopen | .00076 .000388 .000694
english | -.000602 .007786 -.000365 .00947
white | -.002025 -.045054 .0011 -.008091 .594077
lwhitemg | .000572 .004598 -.000108 .000872 -.057059 .005627
_cons | -.390644 -.468757 -.045936 .179917 .038137 -.006 120.63
.
.
. *2.2. Aggregate Differentiated Imports (conservative)
. xtgls lrdiff_cm limmig lgdp lgdpau lgdpdfrationew lpopau lpop lxrate1 l
> remote ldist lopen english white lwhitemg, igls panels(hetero)corr(psar1)nolog
Cross-sectional time-series FGLS regression
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) = 7667.26
Log likelihood = -949.6536 Prob > chi2 = 0.0000
------
lrdiff_cm | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .3013985 .0347846 8.66 0.000 .2332219 .3695751
lgdp | 1.410206 .0807199 17.47 0.000 1.251998 1.568414
lgdpau | .4176831 .7617839 0.55 0.583 -1.075386 1.910752
lgdpdfrati~w | -.154845 .2693296 -0.57 0.565 -.6827213 .3730313
lpopau | -2.53598 2.60069 -0.98 0.330 -7.633239 2.561278
lpop | -.3461984 .0815675 -4.24 0.000 -.5060678 -.186329
lxrate1 | -.1096171 .0280511 -3.91 0.000 -.1645962 -.054638
lremote | -.8314753 .2052144 -4.05 0.000 -1.233688 -.4292625
ldist | -3.835134 .2299745 -16.68 0.000 -4.285875 -3.384392
lopen | .125581 .0556158 2.26 0.024 .016576 .234586
english | .4889671 .1516214 3.22 0.001 .1917946 .7861396
white | 15.07956 2.304584 6.54 0.000 10.56265 19.59646
lwhitemg | -1.451613 .2133338 -6.80 0.000 -1.86974 -1.033487
_cons | 51.60606 24.26566 2.13 0.033 4.046239 99.16589
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .00121
lgdp | -.002148 .006516
lgdpau | -.000871 .002671 .580315
lgdpdfrati~w | -.000972 .002599 -.03217 .072538
lpopau | .000922 -.011299 -1.93771 .108099 6.76359
lpop | .001191 -.004702 -.002647 -.001756 .007769 .006653
lxrate1 | .000095 .000347 .000616 .000915 -.005206 -.000892 .000787
lremote | -.000903 .002359 -.016031 -.002867 .044798 -.000736 -.000305
ldist | .003064 -.001228 -.007836 -.003921 .002131 .004128 -.000405
lopen | .000123 -.000032 -.000057 .001594 -.00466 .000885 -.000207
english | -.001913 .005619 .005083 .001986 -.022119 -.002891 .001304
white | -.002318 -.015633 .008694 -.006141 .035784 -.005443 .003548
lwhitemg | .000398 .000532 -.002157 -.000088 .001282 .001121 -.000382
_cons | .010801 .042729 17.1508 -.988678 -61.7757 -.09016 .078363
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .042113
ldist | .01394 .052888
lopen | .001137 .001035 .003093
english | -.000861 .00667 -.001174 .022989
white | .090204 -.120748 -.002702 -.0201 5.31111
lwhitemg | -.006019 .012406 .000263 .001073 -.484333 .045511
_cons | -.858647 -.501451 .046472 .096024 -.044934 -.058453 588.822
.
. *2.3. Aggregate Homogenous Imports (conservative)
. xtgls lrhomo_cm limmig lgdp lgdpau lgdpdfrationew lpopau lpop lxrate1 l
> remote ldist lopen english white lwhitemg, panels(hetero)corr(psar1)nolog
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) = 2124.43
Log likelihood = -1106.531 Prob > chi2 = 0.0000
------
lrhomo_cm | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .0916737 .0445876 2.06 0.040 .0042837 .1790637
lgdp | .8782662 .0870255 10.09 0.000 .7076993 1.048833
lgdpau | -.3876506 .8370716 -0.46 0.643 -2.028281 1.25298
lgdpdfrati~w | -.3303342 .355637 -0.93 0.353 -1.02737 .3667015
lpopau | -.1729057 2.867595 -0.06 0.952 -5.793289 5.447478
lpop | .0689194 .1038681 0.66 0.507 -.1346584 .2724971
lxrate1 | -.1565002 .0345729 -4.53 0.000 -.2242619 -.0887385
lremote | .2731209 .2473837 1.10 0.270 -.2117422 .7579839
ldist | -2.400018 .3498926 -6.86 0.000 -3.085794 -1.714241
lopen | .3456244 .0781716 4.42 0.000 .1924108 .498838
english | 1.544342 .2544356 6.07 0.000 1.045657 2.043026
white | 1.590454 2.213985 0.72 0.473 -2.748877 5.929786
lwhitemg | .1511482 .19956 0.76 0.449 -.2399822 .5422786
_cons | 15.74746 27.18766 0.58 0.562 -37.53937 69.03429
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .001988
lgdp | -.001893 .007573
lgdpau | -.002445 .001863 .700689
lgdpdfrati~w | -.000596 .001317 -.016305 .126478
lpopau | .006758 -.015052 -2.34943 .043719 8.2231
lpop | .000411 -.006666 .000501 -.000544 .001323 .010789
lxrate1 | .000143 .000991 .0008 .00193 -.009578 -.001334 .001195
lremote | .001203 .00217 -.032654 -.017193 .100842 -.001156 -.000717
ldist | .005255 -.005964 -.02065 -.009304 .057423 .010432 -.000214
lopen | .000279 -.000922 .004106 .002523 -.022045 .002725 -.000122
english | -.004223 .001766 .012644 .006014 -.036428 .000851 .00141
white | .004842 -.030409 .108277 .009437 -.448269 .03329 .000696
lwhitemg | -.000695 .001561 -.011885 -.002452 .050382 -.001639 -.000231
_cons | -.080763 .17987 21.0518 -.208721 -75.9845 -.141572 .138344
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .061199
ldist | .02531 .122425
lopen | .002363 .000709 .006111
english | -.014352 .018295 -.001331 .064737
white | .024199 .029561 .005657 .051195 4.90173
lwhitemg | .001393 -.000746 -.000256 -.004159 -.429856 .039824
_cons | -1.60751 -1.85551 .208577 .165782 4.22204 -.533141 739.169
.
. **III. Liberal Estimates
. *3.1. Aggregate reference priced Imports (liberal)
. xtgls lrrefp_lm limmig lgdp lgdpau lgdpdfrationew lpopau lpop lxrate1 l
> remote ldist lopen english white lwhitemg, igls panels(hetero)corr(psar1)nolog
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) = 71904.40
Log likelihood = -884.2226 Prob > chi2 = 0.0000
------
lrrefp_lm | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .0329517 .0145124 2.27 0.023 .0045079 .0613955
lgdp | 1.691297 .0406984 41.56 0.000 1.61153 1.771064
lgdpau | .9229304 .3722216 2.48 0.013 .1933895 1.652471
lgdpdfrati~w | -.3026628 .1447609 -2.09 0.037 -.5863889 -.0189366
lpopau | -7.197395 1.246619 -5.77 0.000 -9.640724 -4.754067
lpop | -.3093399 .0650108 -4.76 0.000 -.4367587 -.1819211
lxrate1 | -.0654217 .017874 -3.66 0.000 -.1004542 -.0303892
lremote | -.9101444 .1493353 -6.09 0.000 -1.202836 -.6174525
ldist | -3.160056 .1679638 -18.81 0.000 -3.48926 -2.830853
lopen | -.0577788 .0292906 -1.97 0.049 -.1151873 -.0003704
english | 1.075587 .1282692 8.39 0.000 .8241842 1.32699
white | 3.865235 .6916249 5.59 0.000 2.509675 5.220794
lwhitemg | -.3855316 .0563404 -6.84 0.000 -.4959568 -.2751064
_cons | 104.4003 11.93829 8.74 0.000 81.00171 127.799
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .000211
lgdp | -.000193 .001656
lgdpau | -.000987 .000973 .138549
lgdpdfrati~w | -.000408 .000747 -.008773 .020956
lpopau | .003794 -.005986 -.455031 .019295 1.55406
lpop | 8.1e-06 -.002184 -.00133 -.001181 .00737 .004226
lxrate1 | -.000017 .000328 -.000126 .000403 -.001445 -.000691 .000319
lremote | -.000039 .000334 -.012464 -.004871 .036034 .001821 .000131
ldist | .00011 .001592 -.008829 -.004032 .02125 .001253 .000058
lopen | .000024 .000035 -.001001 .000973 .003254 .000258 -.000075
english | -.000534 .002704 .003411 .000957 -.017141 -.002975 .00059
white | .000062 -.008136 -.021533 -.007923 .064735 .0082 .002478
lwhitemg | -.000063 .00049 .001145 .000388 -.003496 -.00017 -.000231
_cons | -.033947 .051377 4.11868 -.0268 -14.374 -.128118 .027302
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .022301
ldist | .015276 .028212
lopen | .001107 .000583 .000858
english | -.000426 .011174 -.000468 .016453
white | .035042 -.020711 .000449 -.027906 .478345
lwhitemg | -.001421 .002951 6.9e-06 .002399 -.037661 .003174
_cons | -.643399 -.577018 -.048264 .07486 -.566105 .004577 142.523
.
. *3.2. Aggregate Differentiated Imports (liberal)
. xtgls lrdiff_lm limmig lgdp lgdpau lgdpdfrationew lpopau lpop lxrate1 l
> remote ldist lopen english white lwhitemg, igls panels(hetero)corr(psar1)nolog
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) = 7394.51
Log likelihood = -978.8095 Prob > chi2 = 0.0000
------
lrdiff_lm | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .2986949 .0352889 8.46 0.000 .2295299 .36786
lgdp | 1.433386 .080604 17.78 0.000 1.275405 1.591367
lgdpau | .6050647 .7804789 0.78 0.438 -.9246459 2.134775
lgdpdfrati~w | -.1474423 .2733908 -0.54 0.590 -.6832784 .3883938
lpopau | -2.716394 2.66796 -1.02 0.309 -7.9455 2.512711
lpop | -.3382815 .0804145 -4.21 0.000 -.495891 -.180672
lxrate1 | -.1166411 .0279468 -4.17 0.000 -.1714159 -.0618664
lremote | -.7247705 .2010782 -3.60 0.000 -1.118877 -.3306645
ldist | -3.713755 .2253606 -16.48 0.000 -4.155454 -3.272056
lopen | .1290846 .0563825 2.29 0.022 .018577 .2395922
english | .5969779 .153466 3.89 0.000 .2961902 .8977657
white | 15.68327 2.106715 7.44 0.000 11.55418 19.81235
lwhitemg | -1.507895 .1930205 -7.81 0.000 -1.886208 -1.129582
_cons | 46.84589 24.90114 1.88 0.060 -1.959454 95.65123
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .001245
lgdp | -.002135 .006497
lgdpau | -.000598 .002044 .609147
lgdpdfrati~w | -.000985 .002652 -.034111 .074743
lpopau | -.000841 -.007998 -2.03498 .117561 7.11801
lpop | .00115 -.004667 -.002276 -.001759 .005271 .006466
lxrate1 | .000115 .000383 .000578 .000987 -.005176 -.000862 .000781
lremote | -.000697 .002776 -.015071 -.001896 .039589 -.000961 -.000259
ldist | .003217 -.001698 -.006939 -.003753 -.002009 .003947 -.000263
lopen | .00013 -.000038 -.000081 .001525 -.005462 .000864 -.000181
english | -.001955 .005271 .004439 .001856 -.018484 -.0024 .001353
white | -.003234 -.012679 -.000874 -.005461 .066956 -.005391 .003063
lwhitemg | .000501 .000236 -.000989 -.000121 -.002948 .001207 -.000341
_cons | .029887 .004883 18 -1.10869 -65.0568 -.052836 .075704
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .040432
ldist | .014476 .050787
lopen | .001214 .001072 .003179
english | -.000449 .005557 -.001245 .023552
white | .093005 -.122005 -.003399 -.0121 4.43825
lwhitemg | -.006707 .012855 .000338 .000514 -.400631 .037257
_cons | -.795204 -.4284 .059978 .059095 -.388202 -.012217 620.067
.
. *3.3. Aggregate Homogenous Imports (liberal)
. xtgls lrhomo_lm limmig lgdp lgdpau lgdpdfrationew lpopau lpop lxrate1 l
> remote ldist lopen english white lwhitemg, igls panels(hetero)corr(psar1)nolog
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) = 9306.75
Log likelihood = -1089.543 Prob > chi2 = 0.0000
------
lrhomo_lm | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .0202893 .0165892 1.22 0.221 -.0122249 .0528034
lgdp | 1.384556 .0546476 25.34 0.000 1.277448 1.491663
lgdpau | .5676352 .5601379 1.01 0.311 -.5302149 1.665485
lgdpdfrati~w | -.0029399 .1909065 -0.02 0.988 -.3771097 .3712299
lpopau | -5.280268 1.901595 -2.78 0.005 -9.007326 -1.553209
lpop | .0471331 .0756258 0.62 0.533 -.1010908 .195357
lxrate1 | -.0824285 .0216974 -3.80 0.000 -.1249546 -.0399024
lremote | -1.277102 .1645588 -7.76 0.000 -1.599631 -.9545723
ldist | -3.802247 .2019638 -18.83 0.000 -4.198089 -3.406405
lopen | .1042574 .0466498 2.23 0.025 .0128255 .1956893
english | 2.36744 .1456083 16.26 0.000 2.082053 2.652827
white | 4.172115 1.245564 3.35 0.001 1.730854 6.613376
lwhitemg | -.2921314 .1065309 -2.74 0.006 -.500928 -.0833347
_cons | 91.22314 18.0102 5.07 0.000 55.9238 126.5225
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .000275
lgdp | -.00045 .002986
lgdpau | -.000302 -.000292 .313755
lgdpdfrati~w | -.00067 .000768 .002624 .036445
lpopau | -.000636 .002061 -1.04071 -.005694 3.61607
lpop | .000216 -.003244 -9.1e-06 .000215 -.002446 .005719
lxrate1 | -.000029 .000329 .000476 .000743 -.002918 -.00052 .000471
lremote | .000335 .001801 -.016623 -.002558 .050617 -.001963 -.000267
ldist | .000635 .001335 -.010763 -.002196 .023969 -.000536 .000161
lopen | .000076 -.000405 -.000377 .002426 .001344 .000883 -.000134
english | -.00088 .00081 .00346 .002263 -.012194 .00122 .001224
white | .000323 -.014171 -.002688 -.000828 .020198 .020083 -.000281
lwhitemg | 5.7e-06 .000731 -.000487 .000157 -.000026 -.001041 .000066
_cons | .01611 -.070231 9.2837 .011903 -33.3588 .045228 .034716
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .02708
ldist | .017265 .040789
lopen | .00114 .000411 .002176
english | -.004949 .003347 -.001564 .021202
white | .005824 -.043675 .000958 .022749 1.55143
lwhitemg | .000479 .006318 .000045 -.001761 -.129058 .011349
_cons | -.811538 -.68015 -.032004 .075736 .08875 -.051165 324.367
.
. *IV. Aggregate NON-Manufacturing Imports (Sum of Sitc0,1,2,3,4)
. xtgls lrmnmf limmig lgdp lgdpau lgdpdfrationew lpopau lpop lxrate1 lremo
> te ldist lopen english white lwhitemg, 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) = 1091.79
Log likelihood = -593.1685 Prob > chi2 = 0.0000
------
lrmnmf | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .2464968 .0438634 5.62 0.000 .1605261 .3324674
lgdp | .3295531 .0811398 4.06 0.000 .170522 .4885843
lgdpau | -1.598248 .2631144 -6.07 0.000 -2.113942 -1.082553
lgdpdfrati~w | -.670773 .1707868 -3.93 0.000 -1.005509 -.3360369
lpopau | 3.010518 .8749304 3.44 0.001 1.295686 4.72535
lpop | .419132 .0826179 5.07 0.000 .2572038 .5810601
lxrate1 | -.2059559 .0236258 -8.72 0.000 -.2522616 -.1596502
lremote | -.0459427 .0727294 -0.63 0.528 -.1884898 .0966043
ldist | -2.437078 .3701821 -6.58 0.000 -3.162621 -1.711534
lopen | .0352299 .0340176 1.04 0.300 -.0314434 .1019033
english | .8098713 .2068084 3.92 0.000 .4045342 1.215208
white | 10.2635 .6156688 16.67 0.000 9.056809 11.47019
lwhitemg | -1.025445 .0635159 -16.14 0.000 -1.149933 -.9009556
_cons | 7.780165 8.629885 0.90 0.367 -9.134099 24.69443
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .001924
lgdp | -.002047 .006584
lgdpau | -.000332 .00064 .069229
lgdpdfrati~w | -.000327 .001673 .009395 .029168
lpopau | .003954 -.010257 -.218075 -.011574 .765503
lpop | .00026 -.004203 -.002619 -.001632 .005749 .006826
lxrate1 | -.000101 .000401 .003579 .001783 -.011093 -.000541 .000558
lremote | .00012 .00014 -.002506 -.001809 .004942 .000057 -.000121
ldist | .003361 -.010502 .001296 -.002878 -.013477 .013934 .000108
lopen | -.000272 -.000075 -.002887 .000377 .006352 .00059 -.000257
english | -.002524 .003204 .009716 .005449 -.043884 .003408 .001576
white | .008616 -.01393 .021539 .010249 -.071673 .016658 .002894
lwhitemg | -.000777 .000221 -.001936 -.001265 .007385 -.000595 -.000299
_cons | -.059384 .175926 1.81087 -.062717 -6.70193 -.169149 .085404
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .00529
ldist | .005245 .137035
lopen | .000142 -.000096 .001157
english | -.000543 .005962 -.000601 .04277
white | .000271 -.023463 -.002547 .051127 .379048
lwhitemg | .00028 .005475 .000304 -.003482 -.036344 .004034
_cons | -.114333 -1.16395 -.033804 .275067 .783762 -.111806 74.4749
.
. *V. Aggregate Manufacturing Imports (Sum of Sitc5,6,7,8,9)
. xtgls lrmmfn limmig lgdp lgdpau lgdpdfrationew lpopau lpop lxrate1 lremot
> e ldist lopen english white lwhitemg, igls panels(hetero)corr(psar1)nolog
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) = 1120.25
Log likelihood = -605.5968 Prob > chi2 = 0.0000
------
lrmmfn | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .1691529 .0427685 3.96 0.000 .0853282 .2529775
lgdp | .6107087 .0758476 8.05 0.000 .46205 .7593674
lgdpau | -.1203028 .2084408 -0.58 0.564 -.5288392 .2882336
lgdpdfrati~w | -.2728148 .1182511 -2.31 0.021 -.5045827 -.0410469
lpopau | 1.800363 .731542 2.46 0.014 .3665673 3.234159
lpop | .432578 .1020106 4.24 0.000 .2326409 .6325152
lxrate1 | -.0690342 .0201008 -3.43 0.001 -.1084309 -.0296374
lremote | .2024225 .0800159 2.53 0.011 .0455942 .3592508
ldist | -3.087178 .4047392 -7.63 0.000 -3.880452 -2.293904
lopen | .0220148 .0615239 0.36 0.720 -.0985699 .1425994
english | .3176722 .2602569 1.22 0.222 -.1924219 .8277663
white | 22.19259 2.784387 7.97 0.000 16.73529 27.64989
lwhitemg | -2.167961 .2589023 -8.37 0.000 -2.6754 -1.660522
_cons | -14.44089 8.53678 -1.69 0.091 -31.17267 2.290893
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .001829
lgdp | -.001475 .005753
lgdpau | -.001516 .000679 .043448
lgdpdfrati~w | .000274 -.001369 .007159 .013983
lpopau | .00819 -.006623 -.141319 -.011237 .535154
lpop | .000133 -.004372 .000831 .000509 -.007138 .010406
lxrate1 | -9.6e-06 .000202 -.000369 -.000194 .002429 -.000561 .000404
lremote | -.000362 .001815 -.005146 -.005409 .006859 -.001156 .000438
ldist | .007642 -.000641 -.00795 -.002272 .029967 .001623 -.000877
lopen | -.000247 -.000586 .00013 -.001759 -.013153 .002576 -.000504
english | -.000904 .00571 .000426 -.000664 -.003511 -.005901 -.000116
white | .007684 -.009689 .004724 .003638 -.01325 .021085 -.001931
lwhitemg | -.001151 .000273 -.000402 -.000488 .000431 -.001628 .000208
_cons | -.144887 .02583 1.29841 .074034 -5.29925 .028783 -.022834
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .006403
ldist | .002389 .163814
lopen | .001193 .001241 .003785
english | .001112 .055735 -.001381 .067734
white | -.002613 .064427 .006193 .034942 7.75281
lwhitemg | .000412 -.011413 -.000406 -.004383 -.709133 .06703
_cons | -.073471 -1.92809 .17316 -.543516 -.671514 .136675 72.8766
.
.
. **VI. SITC-1 Digit Level Disaggregate Imports
. xtgls lrmsitc0 limmig lgdp lgdpau lgdpdfrationew lpopau lpop lxrate1 lr
> emote ldist lopen english white lwhitemg, panels(hetero)corr(psar1)nolog
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) = 751.52
Log likelihood = -565.6389 Prob > chi2 = 0.0000
------
lrmsitc0 | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .5149789 .0499742 10.30 0.000 .4170312 .6129266
lgdp | .0125171 .0786168 0.16 0.873 -.141569 .1666031
lgdpau | 2.135997 .8029585 2.66 0.008 .5622277 3.709767
lgdpdfrati~w | -.7574924 .2937564 -2.58 0.010 -1.333244 -.1817404
lpopau | -10.45725 2.761166 -3.79 0.000 -15.86904 -5.045463
lpop | .3233441 .0926487 3.49 0.000 .141756 .5049322
lxrate1 | -.1092555 .0261083 -4.18 0.000 -.1604269 -.0580841
lremote | -.0004291 .2486298 -0.00 0.999 -.4877344 .4868763
ldist | -2.044391 .2185492 -9.35 0.000 -2.47274 -1.616042
lopen | .0291592 .0555282 0.53 0.599 -.079674 .1379924
english | -.139694 .2027581 -0.69 0.491 -.5370927 .2577046
white | 9.935886 1.113 8.93 0.000 7.754445 12.11733
lwhitemg | -.8946759 .0954832 -9.37 0.000 -1.08182 -.7075322
_cons | 134.7357 26.13484 5.16 0.000 83.51234 185.959
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .002497
lgdp | -.001461 .006181
lgdpau | .000284 .000314 .644742
lgdpdfrati~w | -.001603 .001786 -.018682 .086293
lpopau | -.004837 -.007278 -2.15757 .080446 7.62404
lpop | -.000385 -.004647 -.001356 -.000953 .005702 .008584
lxrate1 | .000098 -.000231 .000598 .00075 -.0045 -.00024 .000682
lremote | .00135 .003558 -.019711 -.012675 .059055 -.001877 .000283
ldist | .00417 .000403 -.005832 -.005114 .001025 -.000635 -5.7e-06
lopen | -.000357 .000919 .000259 -.000882 -.01007 .000234 -7.3e-06
english | -.003032 .001561 .004824 .005456 -.015987 -.000065 .000993
white | .01132 -.027958 .01269 -.008428 -.043924 .033288 .006142
lwhitemg | -.001189 .001359 -.002522 -.000056 .01167 -.001673 -.000508
_cons | .044482 .022094 19.1317 -.79258 -70.3933 -.066563 .06213
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .061817
ldist | .020154 .047764
lopen | .001303 .001024 .003083
english | -.013386 .006745 -.000133 .041111
white | .024976 .003828 -.002868 .021134 1.23877
lwhitemg | .000117 -.000413 .000168 -.001245 -.101819 .009117
_cons | -1.23713 -.513751 .120484 .150877 .103203 -.11564 683.03
. xtgls lrmsitc1 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) = 1307.74
Log likelihood = -346.1232 Prob > chi2 = 0.0000
------
lrmsitc1 | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .0325972 .0167244 1.95 0.051 -.0001821 .0653765
lgdp | .2026069 .0554517 3.65 0.000 .0939236 .3112902
lgdpau | -.2185289 .3079372 -0.71 0.478 -.8220746 .3850168
lgdpdfrati~w | -.415386 .1979079 -2.10 0.036 -.8032783 -.0274937
lpopau | 2.598959 1.098332 2.37 0.018 .446268 4.751651
lpop | .1254965 .0714585 1.76 0.079 -.0145596 .2655526
lxrate1 | -.0747767 .0184134 -4.06 0.000 -.1108662 -.0386872
lremote | -.1262276 .1141279 -1.11 0.269 -.3499142 .097459
ldist | -1.309531 .3044883 -4.30 0.000 -1.906317 -.7127445
lopen | .0005928 .0252512 0.02 0.981 -.0488988 .0500843
english | 2.002817 .2361546 8.48 0.000 1.539963 2.465672
white | 9.54014 1.794286 5.32 0.000 6.023404 13.05688
lwhitemg | -.7050462 .184816 -3.81 0.000 -1.067279 -.3428136
_cons | -28.82987 11.29647 -2.55 0.011 -50.97055 -6.689185
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .00028
lgdp | -.00031 .003075
lgdpau | .000242 -.00141 .094825
lgdpdfrati~w | -.000392 -.000507 -.001346 .039168
lpopau | -.001248 .006803 -.324843 .022195 1.20633
lpop | .000148 -.003079 .000845 .001002 -.007701 .005106
lxrate1 | -.000013 .000172 .001203 .000744 -.005776 -.000168 .000339
lremote | .000213 .000917 -.006979 -.002983 .023288 -.000301 -.000319
ldist | .001182 -.000044 -.003527 -.000169 -.006364 .004966 -.000169
lopen | .000025 -.00027 -.000115 .001059 -.000958 .000337 -.000011
english | -.000021 -.002769 .002883 .003837 -.014427 .005313 .0004
white | .00161 -.022861 .013872 .004219 -.075117 .025093 .001056
lwhitemg | -.000155 .001309 -.001195 -.000072 .005487 -.00163 -.00008
_cons | .00484 -.1011 3.00899 -.353447 -11.6625 .048447 .065555
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .013025
ldist | .006858 .092713
lopen | -.000112 -.00017 .000638
english | -.001174 .037592 -.000146 .055769
white | .010524 -.026831 .001358 .068842 3.21946
lwhitemg | -.000366 .002133 -.000065 -.006314 -.327024 .034157
_cons | -.394739 -.832558 .021538 -.218419 1.13303 -.078855 127.61
. xtgls lrmsitc2 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) = 1095.70
Log likelihood = -844.681 Prob > chi2 = 0.0000
------
lrmsitc2 | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .1139148 .0653577 1.74 0.081 -.014184 .2420136
lgdp | .5000607 .1090938 4.58 0.000 .2862407 .7138807
lgdpau | -2.338517 1.13951 -2.05 0.040 -4.571915 -.1051185
lgdpdfrati~w | -1.053137 .4491077 -2.34 0.019 -1.933372 -.1729022
lpopau | 5.14675 3.908202 1.32 0.188 -2.513185 12.80669
lpop | .2670786 .1343789 1.99 0.047 .0037008 .5304564
lxrate1 | -.1623819 .0395859 -4.10 0.000 -.2399688 -.0847949
lremote | 1.501006 .2902089 5.17 0.000 .9322067 2.069805
ldist | -2.312982 .5434915 -4.26 0.000 -3.378206 -1.247759
lopen | -.0469845 .0771702 -0.61 0.543 -.1982355 .1042664
english | .2717387 .2828045 0.96 0.337 -.2825479 .8260253
white | 13.12495 1.743718 7.53 0.000 9.707324 16.54257
lwhitemg | -1.02819 .1679317 -6.12 0.000 -1.35733 -.6990496
_cons | -26.51753 36.84034 -0.72 0.472 -98.72327 45.68821
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .004272
lgdp | -.004187 .011901
lgdpau | -.001581 .004078 1.29848
lgdpdfrati~w | -.001668 .003711 -.008855 .201698
lpopau | .000799 -.022414 -4.34259 .077602 15.274
lpop | .001151 -.010908 -.00117 -.002015 .007901 .018058
lxrate1 | .000115 .001513 .00083 .001616 -.009963 -.001511 .001567
lremote | .001797 -.000421 -.032862 -.017982 .080763 .00004 .001235
ldist | .013422 -.007573 -.018117 -.014227 .002318 .010848 -.001707
lopen | .000322 -.000632 .007412 .00164 -.035924 .001885 -.000336
english | -.00597 .010278 .004963 .000659 -.019561 -.00641 -.000316
white | .024372 -.051496 -.020523 -.036992 -.027405 .0613 .005315
lwhitemg | -.002804 .003356 -.00204 .001184 .019833 -.003742 -.000677
_cons | -.059714 .256087 38.3822 -1.0157 -139.968 -.238667 .131363
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .084221
ldist | .046056 .295383
lopen | .003194 .004206 .005955
english | -.000569 .033853 -.001233 .079978
white | .13068 .157804 .002211 .057242 3.04055
lwhitemg | -.00504 -.01858 -.000132 -.006857 -.282247 .028201
_cons | -1.64754 -2.83815 .321179 -.23833 -1.60174 -.053906 1357.21
. xtgls lrmsitc3 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) = 958.60
Log likelihood = -25.96168 Prob > chi2 = 0.0000
------
lrmsitc3 | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | -.00847 .0220359 -0.38 0.701 -.0516595 .0347195
lgdp | .1152065 .0511423 2.25 0.024 .0149695 .2154435
lgdpau | .4095222 .3737905 1.10 0.273 -.3230937 1.142138
lgdpdfrati~w | .1766253 .168456 1.05 0.294 -.1535424 .5067929
lpopau | 2.288659 1.327089 1.72 0.085 -.312387 4.889706
lpop | .311476 .0597194 5.22 0.000 .1944281 .4285238
lxrate1 | -.0487373 .0146623 -3.32 0.001 -.0774749 -.0199998
lremote | -.3532949 .1136867 -3.11 0.002 -.5761168 -.130473
ldist | -3.337252 .3995923 -8.35 0.000 -4.120438 -2.554065
lopen | .0071978 .0294053 0.24 0.807 -.0504356 .0648312
english | .9962998 .1586308 6.28 0.000 .6853893 1.30721
white | 16.57951 .91219 18.18 0.000 14.79165 18.36737
lwhitemg | -1.382038 .0829525 -16.66 0.000 -1.544622 -1.219454
_cons | -20.86646 13.52002 -1.54 0.123 -47.36522 5.632301
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .000486
lgdp | -.000457 .002616
lgdpau | -.00037 .000356 .139719
lgdpdfrati~w | -.000712 .000791 -.000597 .028377
lpopau | .001019 -.00157 -.472308 .014562 1.76116
lpop | -.000024 -.001477 .000265 .0002 -.003614 .003566
lxrate1 | .000038 .000026 .000554 .000516 -.003687 -.000051 .000215
lremote | .000444 .000595 -.008162 -.003229 .025607 -.000669 -.000347
ldist | .002758 -.000916 -.008825 -.008206 -.01087 .001218 -.000099
lopen | -.000052 .000044 .000451 .000138 -.003777 .000221 -.000019
english | -.000676 -.000277 .00199 .002166 -.00344 .00319 .00031
white | .002277 -.013326 .007559 -.004801 -.099605 .021464 .001572
lwhitemg | -.000259 .000639 -.001309 .000357 .011313 -.001789 -.000165
_cons | -.028684 -.013162 4.31438 -.168496 -16.8666 .024137 .049297
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .012925
ldist | .014433 .159674
lopen | .000143 -.000128 .000865
english | -.001129 -.001418 -.000066 .025164
white | .006845 .026871 -.000288 .056791 .832091
lwhitemg | .00008 -.003375 .000067 -.005443 -.072973 .006881
_cons | -.46323 -1.24844 .046969 -.019662 1.07328 -.105714 182.791
. xtgls lrmsitc4 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) = 336.65
Log likelihood = 114.9736 Prob > chi2 = 0.0000
------
lrmsitc4 | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | -.0227383 .0189599 -1.20 0.230 -.0598991 .0144225
lgdp | .3498576 .0485885 7.20 0.000 .2546259 .4450893
lgdpau | -.3579326 .328951 -1.09 0.277 -1.002665 .2867995
lgdpdfrati~w | -.15807 .1489721 -1.06 0.289 -.45005 .13391
lpopau | 4.348972 1.203067 3.61 0.000 1.991003 6.70694
lpop | -.0934835 .0582251 -1.61 0.108 -.2076026 .0206356
lxrate1 | -.1063104 .0150506 -7.06 0.000 -.1358089 -.0768118
lremote | .2593897 .1151138 2.25 0.024 .0337709 .4850085
ldist | -1.871134 .2683945 -6.97 0.000 -2.397178 -1.345091
lopen | .0120634 .02953 0.41 0.683 -.0458144 .0699412
english | .1334114 .1670541 0.80 0.425 -.1940086 .4608314
white | 9.45575 1.792208 5.28 0.000 5.943087 12.96841
lwhitemg | -.8072202 .1700424 -4.75 0.000 -1.140497 -.4739432
_cons | -52.45491 12.80525 -4.10 0.000 -77.55274 -27.35708
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .000359
lgdp | -.000418 .002361
lgdpau | .000152 -.000784 .108209
lgdpdfrati~w | -.000454 .000468 -.003734 .022193
lpopau | -.001535 .004888 -.371583 .019212 1.44737
lpop | .000084 -.001849 .000233 -.000132 -.004092 .00339
lxrate1 | -.000017 .000027 .000642 .000517 -.004918 -.000098 .000227
lremote | .000268 .001437 -.007314 -.001641 .0247 -.001368 -.000213
ldist | .001585 -.001648 -.001785 -.002691 .003704 .003854 -.000236
lopen | .000011 .000025 .000113 .00015 -.002028 .000121 -.000021
english | -.000843 -.001246 .001008 .001118 .010013 .005202 .000293
white | .001588 -.013668 .012563 -.002936 -.102732 .019828 .001195
lwhitemg | -.000188 .000917 -.001551 .000354 .010077 -.001756 -.000077
_cons | .011133 -.07938 3.4211 -.212931 -14.5587 .024212 .068337
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .013251
ldist | .00446 .072036
lopen | .000155 -.000221 .000872
english | -.002686 .009352 -.000615 .027907
white | -.002371 .02066 -.001138 .048442 3.21201
lwhitemg | .000834 -.003048 .000132 -.00468 -.298909 .028914
_cons | -.385898 -.773007 .029429 -.31747 1.17018 -.095848 163.974
. xtgls lrmsitc5 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) = 569.24
Log likelihood = -669.4826 Prob > chi2 = 0.0000
------
lrmsitc5 | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .1522353 .0523068 2.91 0.004 .0497159 .2547548
lgdp | .8244179 .1045224 7.89 0.000 .6195578 1.029278
lgdpau | -.674696 .6990093 -0.97 0.334 -2.044729 .6953371
lgdpdfrati~w | -.3668263 .292555 -1.25 0.210 -.9402235 .2065708
lpopau | 3.588284 2.415684 1.49 0.137 -1.146369 8.322937
lpop | -.3062887 .1482014 -2.07 0.039 -.5967581 -.0158193
lxrate1 | -.1538208 .0317751 -4.84 0.000 -.216099 -.0915427
lremote | .057804 .2454331 0.24 0.814 -.4232359 .538844
ldist | -3.643768 .71847 -5.07 0.000 -5.051943 -2.235592
lopen | .0297516 .0782172 0.38 0.704 -.1235513 .1830545
english | -.5373048 .4328449 -1.24 0.214 -1.385665 .3110556
white | 19.83329 3.978454 4.99 0.000 12.03567 27.63092
lwhitemg | -1.796969 .3648805 -4.92 0.000 -2.512122 -1.081817
_cons | -18.30687 23.73339 -0.77 0.440 -64.82346 28.20972
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .002736
lgdp | -.002407 .010925
lgdpau | .001035 -.000775 .488614
lgdpdfrati~w | -.001965 .003951 -.0122 .085588
lpopau | -.006649 -.006594 -1.62958 .064153 5.83553
lpop | -1.1e-06 -.00816 -.001401 -.001458 -.005643 .021964
lxrate1 | .000152 .000565 .002052 .001424 -.011279 -.000779 .00101
lremote | .000862 .004656 -.020389 -.011804 .036797 -.003211 .000621
ldist | .01178 .012116 -.005859 -.001483 -.069561 .005356 .001199
lopen | .000328 -.000868 -.000392 .001744 -.016871 .002494 -.000086
english | -.005223 .00197 .001184 .005564 -.021761 .0185 .000797
white | .008282 -.038392 .11797 .02173 -.317408 .083601 .004925
lwhitemg | -.001357 .001823 -.012468 -.0032 .038457 -.006559 -.000584
_cons | .006613 -.137356 14.4872 -.775788 -53.4965 -.054896 .109826
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .060237
ldist | .038281 .516199
lopen | .001086 .004602 .006118
english | -.000072 .151232 -.00136 .187355
white | .034517 .301725 .008598 .3119 15.8281
lwhitemg | -.000514 -.04466 -.000616 -.033922 -1.42611 .133138
_cons | -1.01851 -4.38878 .218425 -1.4695 -1.64127 .2019 563.274
. xtgls lrmsitc6 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) = 2072.01
Log likelihood = -597.356 Prob > chi2 = 0.0000
------
lrmsitc6 | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .2129842 .0469126 4.54 0.000 .1210372 .3049312
lgdp | .6801564 .0960786 7.08 0.000 .4918457 .8684671
lgdpau | .7778835 .7217643 1.08 0.281 -.6367485 2.192516
lgdpdfrati~w | -.1131959 .3025991 -0.37 0.708 -.7062791 .4798873
lpopau | -3.569402 2.496547 -1.43 0.153 -8.462545 1.32374
lpop | .3962474 .1239383 3.20 0.001 .1533327 .6391621
lxrate1 | -.0828032 .0313009 -2.65 0.008 -.1441519 -.0214545
lremote | -.2389045 .2656825 -0.90 0.369 -.7596326 .2818237
ldist | -1.985887 .5157342 -3.85 0.000 -2.996708 -.975067
lopen | -.1446472 .0778847 -1.86 0.063 -.2972985 .008004
english | .9428029 .3211345 2.94 0.003 .3133907 1.572215
white | 22.67129 2.960152 7.66 0.000 16.8695 28.47309
lwhitemg | -2.199116 .2654594 -8.28 0.000 -2.719407 -1.678825
_cons | 41.25262 24.05472 1.71 0.086 -5.893759 88.399
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .002201
lgdp | -.001755 .009231
lgdpau | -.002218 .005151 .520944
lgdpdfrati~w | -.002009 .003684 -.022964 .091566
lpopau | .005608 -.03541 -1.74399 .073451 6.23275
lpop | .000554 -.007212 -.004057 -.002916 .014654 .015361
lxrate1 | .000075 .000765 .000489 .001723 -.007171 -.000765 .00098
lremote | .001105 .003307 -.01654 -.021101 .037607 -.000353 .000503
ldist | .011047 -.000868 -.013256 -.005554 -.019939 .024177 .002304
lopen | .000313 .000117 -.000415 .003317 -.011826 .001581 4.9e-06
english | -.001847 .004288 .00359 .005342 -.030396 .000252 .001888
white | .00918 -.02989 .023499 -.027529 -.070572 .060427 .004461
lwhitemg | -.001223 .000936 -.003799 .000466 .017131 -.004616 -.00046
_cons | -.128348 .340965 15.5145 -.49923 -57.3168 -.441982 .069305
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .070587
ldist | .028455 .265982
lopen | .00236 .006018 .006066
english | -.001077 .09261 -.001488 .103127
white | .07222 .170215 .007028 .04604 8.7625
lwhitemg | -.00243 -.021954 -.000778 -.004123 -.770382 .070469
_cons | -1.13384 -2.53409 .100228 -.590952 -2.05022 .106653 578.629
. xtgls lrmsitc7 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) = 1540.38
Log likelihood = -761.86 Prob > chi2 = 0.0000
------
lrmsitc7 | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .0134733 .0317517 0.42 0.671 -.0487588 .0757055
lgdp | 1.176496 .0995255 11.82 0.000 .9814292 1.371562
lgdpau | .8011502 .7611394 1.05 0.293 -.6906557 2.292956
lgdpdfrati~w | -.1341462 .2892191 -0.46 0.643 -.7010053 .4327129
lpopau | 3.467254 2.64333 1.31 0.190 -1.713578 8.648085
lpop | -.6298955 .1433959 -4.39 0.000 -.9109463 -.3488446
lxrate1 | -.1391269 .0278581 -4.99 0.000 -.1937278 -.0845261
lremote | -.5178015 .2035518 -2.54 0.011 -.9167557 -.1188473
ldist | -2.668304 .6817548 -3.91 0.000 -4.004519 -1.33209
lopen | -.0171687 .0734706 -0.23 0.815 -.1611685 .1268311
english | .1522402 .3272578 0.47 0.642 -.4891733 .7936537
white | 27.499 2.491068 11.04 0.000 22.61659 32.3814
lwhitemg | -2.591218 .2380073 -10.89 0.000 -3.057704 -2.124732
_cons | -62.20321 25.94305 -2.40 0.016 -113.0506 -11.35576
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .001008
lgdp | -.001772 .009905
lgdpau | .000735 -.001884 .579333
lgdpdfrati~w | -.002059 .003937 -.016502 .083648
lpopau | -.008131 -.006238 -1.93377 .064476 6.98719
lpop | .001331 -.011139 -.000619 -.002244 .019214 .020562
lxrate1 | -.000029 .000676 .001259 .001312 -.011158 -.001112 .000776
lremote | .00101 .005948 -.020877 -.003698 .022998 -.006718 .000347
ldist | .004574 .019867 -.022828 -.000438 -.063834 -.00582 .001311
lopen | .000221 -.000273 -.003201 .005861 .000761 .001057 -.00021
english | -.001202 .003682 .002178 .004248 -.01496 .002351 .001657
white | .012522 -.050177 .046273 -.023427 -.327179 .072673 .006251
lwhitemg | -.001093 .003218 -.005551 .001827 .037905 -.005621 -.000584
_cons | .079721 -.134757 17.3381 -.73135 -64.9348 -.260693 .134029
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .041433
ldist | .065521 .46479
lopen | .002182 .00526 .005398
english | .00268 .078445 -.001244 .107098
white | .024396 .068542 -.004227 .202284 6.20542
lwhitemg | -.001271 -.014752 .000577 -.022449 -.582655 .056647
_cons | -.852071 -3.7446 -.010908 -.718941 3.24381 -.30744 673.042
. xtgls lrmsitc8 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) = 559.11
Log likelihood = -584.4027 Prob > chi2 = 0.0000
------
lrmsitc8 | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .3911645 .0588308 6.65 0.000 .2758583 .5064706
lgdp | .2526549 .1018272 2.48 0.013 .0530772 .4522325
lgdpau | 1.104869 .744546 1.48 0.138 -.3544146 2.564152
lgdpdfrati~w | -.5189093 .3184719 -1.63 0.103 -1.143103 .1052841
lpopau | -4.62141 2.573776 -1.80 0.073 -9.665917 .4230981
lpop | .3485087 .1087768 3.20 0.001 .13531 .5617073
lxrate1 | -.0952641 .0328067 -2.90 0.004 -.1595641 -.030964
lremote | -.1235224 .2384937 -0.52 0.605 -.5909614 .3439166
ldist | -1.62557 .6732376 -2.41 0.016 -2.945092 -.3060485
lopen | .0947636 .0736311 1.29 0.198 -.0495507 .239078
english | -.1406417 .3016243 -0.47 0.641 -.7318144 .450531
white | 19.51754 1.938501 10.07 0.000 15.71815 23.31694
lwhitemg | -1.828273 .1855227 -9.85 0.000 -2.191891 -1.464655
_cons | 55.95708 24.51131 2.28 0.022 7.915803 103.9984
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .003461
lgdp | -.003336 .010369
lgdpau | -.002621 .007468 .554349
lgdpdfrati~w | -.002753 .006284 -.007801 .101424
lpopau | .006631 -.039743 -1.85501 .044841 6.62432
lpop | .001224 -.006938 -.005196 -.004567 .014964 .011832
lxrate1 | .000246 .000377 -.000203 .000765 -.003781 -.000449 .001076
lremote | .000077 .003265 -.009804 -.018908 -.00468 .001403 .001312
ldist | .012964 .004581 -.006551 -.017383 -.094846 .004477 .001478
lopen | -.000428 .001188 .002467 .000114 -.025008 .001435 -.000128
english | -.003484 .009775 .00722 .001668 -.042412 -.001954 -.000887
white | .023089 -.035205 -.01574 -.077504 .112916 .013997 -.000279
lwhitemg | -.002626 .00165 -.000548 .00488 .001718 -.000082 -.000275
_cons | -.128716 .279114 16.3162 -.364788 -59.7413 -.199613 .036869
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .056879
ldist | .059704 .453249
lopen | .002777 .004668 .005422
english | .015268 .125627 .000667 .090977
white | .135056 .306987 -.008583 .173255 3.75779
lwhitemg | -.010203 -.042544 .000721 -.021157 -.350588 .034419
_cons | -.818956 -3.34041 .23902 -.998065 -5.12368 .461933 600.804
. xtgls lrmsitc9 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) = 1145.58
Log likelihood = -282.5302 Prob > chi2 = 0.0000
------
lrmsitc9 | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | -.0154474 .0283013 -0.55 0.585 -.0709171 .0400222
lgdp | .5250594 .0857258 6.12 0.000 .3570399 .693079
lgdpau | -.2080434 .5268194 -0.39 0.693 -1.24059 .8245036
lgdpdfrati~w | -.0031789 .2329758 -0.01 0.989 -.459803 .4534453
lpopau | 1.62248 1.820807 0.89 0.373 -1.946236 5.191197
lpop | -.327989 .112149 -2.92 0.003 -.547797 -.108181
lxrate1 | -.0613678 .0237396 -2.59 0.010 -.1078966 -.0148391
lremote | -.2027694 .1755699 -1.15 0.248 -.54688 .1413413
ldist | -4.468041 .4656653 -9.59 0.000 -5.380728 -3.555354
lopen | -.0226204 .0535683 -0.42 0.673 -.1276123 .0823716
english | .0207692 .2742841 0.08 0.940 -.5168177 .558356
white | 18.15813 1.722764 10.54 0.000 14.78158 21.53469
lwhitemg | -1.456778 .1702125 -8.56 0.000 -1.790388 -1.123167
_cons | 17.93526 18.04328 0.99 0.320 -17.42891 53.29943
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .000801
lgdp | -.000942 .007349
lgdpau | -.000042 -.001417 .277539
lgdpdfrati~w | -.001047 .001697 -.005798 .054278
lpopau | -.000297 .001204 -.928048 .036851 3.31534
lpop | .000101 -.006319 .000422 -.000556 -.006312 .012577
lxrate1 | -.000026 .000169 .001255 .001279 -.006902 -.000537 .000564
lremote | .000396 .002143 -.01819 -.005893 .052809 -.003159 -.000193
ldist | .002738 .003832 -.009993 -.00303 -.003828 .011176 -.00047
lopen | .000104 -.000438 -.000648 .001483 -.00329 .00102 -2.6e-06
english | -.001654 .002241 .002378 .002619 -.008125 .002879 .00063
white | .003802 -.040707 .010809 -.01317 -.166011 .065058 .002204
lwhitemg | -.000384 .001766 -.002077 .000902 .020339 -.005043 -.000017
_cons | -.006707 -.099058 8.39445 -.464717 -31.0292 -.040263 .088621
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .030825
ldist | .014357 .216844
lopen | .000021 .000742 .00287
english | -.001082 .048189 .0002 .075232
white | .01844 .152678 .002649 .134188 2.96791
lwhitemg | .000746 -.019494 -.000121 -.014362 -.282706 .028972
_cons | -.800851 -2.15669 .057478 -.482657 .693995 -.061031 325.56
.
. clear
. insheet using k:\book1.txt
(104 vars, 1010 obs)
. *Dropping Senegal
. drop if ccode==446820
(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 491197.2 1561183 8397.5 0 1.39e+07
immig | 1000 33460.41 117039 2986.5 0 1137050
gdp | 1000 2.79e+11 9.69e+11 1.74e+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 105.7226 16.83247 102.812 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 1039.919 10901.96 13.89535 .0068 270182.6
remote | 1000 6735.327 4146.045 6764 1293 39620
dist | 1000 13330.14 3510.159 14215 2409 17972
open | 1000 .7079069 .3899342 .63155 .0671 3.2192
english | 1000 .38 .4856293 0 0 1
gdpdfratio~w | 1000 1.052802 .1807727 1.017407 .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 404946.5 1597577 3443.5 0 1.39e+07
immig | 870 14895.13 27126.09 1606 0 158613
gdp | 870 2.37e+11 1.00e+12 1.09e+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 | 870 104.8537 17.18166 101.7094 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 1179.316 11682.05 19.96485 .0068 270182.6
remote | 870 7161.098 4116.771 6930 1293 39620
dist | 870 13154.64 3393.226 14040 2410 17972
phone | 870 159.1852 241.9253 49.865 .54 1449.75
open | 870 .715274 .4114501 .6248 .0671 3.2192
english | 870 .3908046 .4882114 0 0 1
gdpdfratio~w | 870 1.044409 .1856361 1 .5844526 2.009028