------log: K:\Uganda to Netherelands.log
opened on: 26 Jul 2006, 08:57:10
. *Dropping Uganda
. drop if ccode==588040
(10 observations deleted)
.
. **Generating log variables
. generate lrimp=log(rimp+1)
.
. *Descriptive stats after dropping
. tabstat rimp immig gdp gdpau gdpdefnew gdpdfau pop popau xrate1 remote dist op
> en english gdpdfrationew white whitemg, stat(n mean sd median min max) col(sta
> t)
variable | N mean sd p50 min max
------+------
rimp | 1000 491167.3 1561192 8397.5 0 1.39e+07
immig | 1000 33450.91 117041.7 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 105.4965 16.75124 102.6185 60.87417 207.3465
gdpdfau | 1000 100.7173 4.633489 100.8223 94.42464 109.9797
pop | 1000 4.94e+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 1035.788 10902.15 13.89535 .0068 270182.6
remote | 1000 6720.834 4142.591 6764 1293 39620
dist | 1000 13379.87 3530.965 14305 2409 17972
open | 1000 .7120594 .3880076 .63975 .0671 3.2192
english | 1000 .37 .4830459 0 0 1
gdpdfratio~w | 1000 1.050437 .1792611 1.011523 .5844526 2.009028
white | 1000 .13 .3364717 0 0 1
whitemg | 1000 20501.65 116468.1 0 0 1137050
------
. sort white
. *IIIB. Descriptives Original Unites(sub sample for "white" and "non-white" cou
> ntries)--RHS Variables:
. by white: tabstat rimp immig gdp gdpau gdpdefnew gdpdfau pop popau xrate1 remo
> te dist phone open english gdpdfrationew white whitemg, stat(n mean sd median
> min max) col(stat)
------
-> white = 0
variable | N mean sd p50 min max
------+------
rimp | 870 404912 1597585 3126 0 1.39e+07
immig | 870 14884.2 27131.83 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 | 870 104.5937 17.07666 101.4003 60.87417 207.3465
gdpdfau | 870 100.7173 4.633836 100.8223 94.42464 109.9797
pop | 870 5.33e+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 1174.568 11682.31 19.96485 .0068 270182.6
remote | 870 7144.439 4114.494 6927 1293 39620
dist | 870 13211.8 3420.827 14051 2410 17972
phone | 870 159.3292 241.8395 49.865 .54 1449.75
open | 870 .720047 .4092613 .63975 .0671 3.2192
english | 870 .3793103 .4854945 0 0 1
gdpdfratio~w | 870 1.04169 .1838163 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) = 9105.04
Log likelihood = -540.1753 Prob > chi2 = 0.0000
------
lrimp | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .3359792 .0309445 10.86 0.000 .2753291 .3966294
lgdp | 1.203597 .0333791 36.06 0.000 1.138176 1.269019
lgdpau | .0114456 .6102095 0.02 0.985 -1.184543 1.207434
lgdpdfrati~w | -.9612478 .2494062 -3.85 0.000 -1.450075 -.4724207
lpopau | -2.362163 2.106596 -1.12 0.262 -6.491015 1.766689
lpop | .0057171 .0415249 0.14 0.890 -.0756702 .0871045
lxrate1 | -.13105 .0170675 -7.68 0.000 -.1645016 -.0975984
lremote | -.4238738 .0780341 -5.43 0.000 -.5768178 -.2709298
ldist | -2.080804 .1669019 -12.47 0.000 -2.407926 -1.753682
lopen | .276414 .05844 4.73 0.000 .1618738 .3909542
english | .8916811 .1307973 6.82 0.000 .6353231 1.148039
white | 4.466004 .5789588 7.71 0.000 3.331265 5.600742
lwhitemg | -.4171998 .0515128 -8.10 0.000 -.5181631 -.3162366
_cons | 40.8866 19.42454 2.10 0.035 2.815196 78.958
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .000958
lgdp | -.000306 .001114
lgdpau | -.001086 .00142 .372356
lgdpdfrati~w | -.000889 .000165 -.009592 .062203
lpopau | .002646 -.008405 -1.25983 .050288 4.43775
lpop | -.000163 -.000756 .00022 .000278 -.000622 .001724
lxrate1 | .000081 .00016 .000371 .000184 -.002632 -.000094 .000291
lremote | .000504 .000092 -.000556 -.002034 -.003537 -.000289 .000068
ldist | .001578 .001112 .000254 -.001962 -.014228 -.000191 .00176
lopen | -.000175 .000633 .002675 .00083 -.018548 .000366 .000137
english | -.001227 .002776 .003221 .002661 -.011125 -.001295 .000563
white | .004639 -.002427 .002597 -.009425 -.021835 .005281 .000134
lwhitemg | -.000572 .000219 -.000214 .000899 .002413 -.000411 -.000031
_cons | -.031446 .076896 11.1133 -.614596 -40.277 .001006 .01268
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .006089
ldist | .005552 .027856
lopen | .001437 .000485 .003415
english | -.003792 .001887 -.000768 .017108
white | -.001025 -.004354 .000139 -.000554 .335193
lwhitemg | .000205 -.000076 -.000101 .000221 -.02935 .002654
_cons | -.028356 -.119756 .20235 .065386 .2791 -.02972 377.313
.
. **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) = 64158.67
Log likelihood = -951.2922 Prob > chi2 = 0.0000
------
lrrefp_cm | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .0495274 .0138014 3.59 0.000 .0224772 .0765777
lgdp | 1.610724 .0514242 31.32 0.000 1.509935 1.711514
lgdpau | .9543984 .3549734 2.69 0.007 .2586633 1.650133
lgdpdfrati~w | -.4395034 .1465134 -3.00 0.003 -.7266643 -.1523425
lpopau | -6.686576 1.197948 -5.58 0.000 -9.03451 -4.338641
lpop | -.3502056 .0854011 -4.10 0.000 -.5175886 -.1828226
lxrate1 | -.1127952 .0203289 -5.55 0.000 -.152639 -.0729514
lremote | -.9644273 .0953133 -10.12 0.000 -1.151238 -.7776167
ldist | -3.177705 .1662394 -19.12 0.000 -3.503528 -2.851882
lopen | -.0579706 .0265894 -2.18 0.029 -.1100849 -.0058562
english | 1.03019 .0855369 12.04 0.000 .8625409 1.197839
white | 4.476335 .7866872 5.69 0.000 2.934456 6.018213
lwhitemg | -.4406219 .0752724 -5.85 0.000 -.5881531 -.2930907
_cons | 98.26391 11.25075 8.73 0.000 76.21285 120.315
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .00019
lgdp | -.000264 .002644
lgdpau | -.001219 .001862 .126006
lgdpdfrati~w | -.000566 .000439 -.011608 .021466
lpopau | .004771 -.007331 -.41637 .023497 1.43508
lpop | .000172 -.004148 -.001641 .000539 .004371 .007293
lxrate1 | -.000024 .000267 -.000092 .000388 -.002989 -.00029 .000413
lremote | .000406 .00042 -.006444 -.003232 .022711 -.001293 .00009
ldist | .000617 -.001553 -.00645 -.001149 .015076 .002681 .00061
lopen | .000043 -.000091 -.000906 .000899 .003376 .000247 -.000073
english | -.000407 .000211 .002916 .002549 -.019764 .000372 .00112
white | .001119 -.012811 -.010326 -.003071 .040288 .019561 -.000929
lwhitemg | -.000089 .000671 .000386 .00014 -.00251 -.000941 .000136
_cons | -.05361 .089139 3.72012 -.082866 -13.1663 -.064426 .042169
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .009085
ldist | .003774 .027636
lopen | .000613 .0002 .000707
english | -.002602 .002519 -.000405 .007317
white | .005305 -.024317 .001668 -.001691 .618877
lwhitemg | .000145 .003402 -.000125 .00038 -.057694 .005666
_cons | -.311936 -.393086 -.041965 .234159 -.222332 -.003568 126.579
.
.
. *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) = 7266.64
Log likelihood = -916.9981 Prob > chi2 = 0.0000
------
lrdiff_cm | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .0860596 .0195305 4.41 0.000 .0477805 .1243387
lgdp | 1.689271 .0689176 24.51 0.000 1.554195 1.824347
lgdpau | .2823563 .491193 0.57 0.565 -.6803642 1.245077
lgdpdfrati~w | -.5597872 .2027063 -2.76 0.006 -.9570841 -.1624902
lpopau | -3.796057 1.698261 -2.24 0.025 -7.124587 -.4675258
lpop | -.5481826 .0802652 -6.83 0.000 -.7054996 -.3908657
lxrate1 | -.1692288 .0267015 -6.34 0.000 -.2215628 -.1168948
lremote | -.4001591 .1263611 -3.17 0.002 -.6478223 -.152496
ldist | -4.33424 .3361798 -12.89 0.000 -4.993141 -3.67534
lopen | .0404992 .0382874 1.06 0.290 -.0345428 .1155412
english | 1.216083 .14518 8.38 0.000 .9315354 1.50063
white | 10.30581 1.885509 5.47 0.000 6.610281 14.00134
lwhitemg | -.850217 .1884182 -4.51 0.000 -1.21951 -.4809242
_cons | 75.31584 16.18907 4.65 0.000 43.58584 107.0458
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .000381
lgdp | -.000617 .00475
lgdpau | -.001678 .003579 .241271
lgdpdfrati~w | -.000732 .002107 -.01925 .04109
lpopau | .005327 -.019947 -.806618 .055685 2.88409
lpop | .000453 -.00402 -.001715 -.001679 .006218 .006443
lxrate1 | -5.4e-06 .000505 -.000103 .000976 -.005158 -.000674 .000713
lremote | -.000078 -.000738 -.006728 -.002403 .022546 -.000886 .00006
ldist | .001639 .008997 -.009809 -.00229 -.008984 -.002585 .001209
lopen | .000087 -.000527 -.000701 .00172 .002956 .000849 -.000174
english | -.000751 .001937 .006054 .001832 -.04384 .003112 .00191
white | .000793 -.030402 .002292 -.002945 -.013553 .027888 .004146
lwhitemg | -.000078 .001497 -.001313 -.00029 .007329 -.001766 -.000432
_cons | -.053366 .115452 7.17786 -.436245 -26.5204 -.036862 .071603
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .015967
ldist | .006445 .113017
lopen | .000585 -.00055 .001466
english | -.004811 .005746 -.001273 .021077
white | .011963 -.140193 .002203 .026661 3.55514
lwhitemg | .000867 .010496 -.000098 -.003044 -.347781 .035501
_cons | -.367801 -.899008 -.032638 .453396 1.60253 -.197776 262.086
.
. *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) = 2194.89
Log likelihood = -1077.593 Prob > chi2 = 0.0000
------
lrhomo_cm | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .0889136 .0392031 2.27 0.023 .012077 .1657502
lgdp | .9725396 .0786596 12.36 0.000 .8183696 1.12671
lgdpau | -.3146131 .7514063 -0.42 0.675 -1.787342 1.158116
lgdpdfrati~w | -.4339721 .311739 -1.39 0.164 -1.044969 .1770251
lpopau | -.0043555 2.582435 -0.00 0.999 -5.065835 5.057124
lpop | .018336 .0979549 0.19 0.852 -.173652 .210324
lxrate1 | -.118942 .0312171 -3.81 0.000 -.1801264 -.0577575
lremote | .5391535 .2208373 2.44 0.015 .1063203 .9719867
ldist | -1.743075 .3312253 -5.26 0.000 -2.392264 -1.093885
lopen | .3493618 .0764934 4.57 0.000 .1994375 .4992861
english | 1.75984 .2449622 7.18 0.000 1.279723 2.239957
white | 2.522803 2.196948 1.15 0.251 -1.783135 6.828742
lwhitemg | .0823184 .1920198 0.43 0.668 -.2940335 .4586703
_cons | .8472184 24.73593 0.03 0.973 -47.63432 49.32875
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .001537
lgdp | -.001441 .006187
lgdpau | -.001351 .00044 .564611
lgdpdfrati~w | -.000172 .001327 -.006166 .097181
lpopau | .002183 -.00533 -1.89271 .026054 6.66897
lpop | .000291 -.005574 .001104 -.001349 -.005858 .009595
lxrate1 | .000101 .000786 .000235 .001855 -.005393 -.001032 .000975
lremote | .001182 .00087 -.025542 -.014881 .077784 -.000158 -.000587
ldist | .00374 -.006447 -.017545 -.006055 .057683 .010099 -.000207
lopen | .000291 -.00115 .005009 .000714 -.027877 .00282 -.000185
english | -.003382 .00046 .00848 .005487 -.011168 .000108 .001243
white | .004181 -.02447 .117451 .008322 -.486912 .021063 .001345
lwhitemg | -.000553 .000986 -.011835 -.002081 .050432 -.000346 -.00024
_cons | -.025297 .084235 16.9637 -.195574 -62.0709 -.049468 .083131
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .048769
ldist | .018642 .10971
lopen | .001612 -.000559 .005851
english | -.013533 .014705 -.001893 .060006
white | .03033 -.027704 .005521 .041315 4.82658
lwhitemg | -.000164 .006328 -.000261 -.002931 -.411051 .036872
_cons | -1.22806 -1.7416 .306671 -.07993 5.17639 -.597717 611.866
.
. **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) = 57403.99
Log likelihood = -885.6947 Prob > chi2 = 0.0000
------
lrrefp_lm | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .0241851 .0130777 1.85 0.064 -.0014467 .0498169
lgdp | 1.460664 .0525358 27.80 0.000 1.357696 1.563632
lgdpau | .6251452 .3511935 1.78 0.075 -.0631814 1.313472
lgdpdfrati~w | -.2438908 .1222901 -1.99 0.046 -.4835749 -.0042067
lpopau | -6.588918 1.188003 -5.55 0.000 -8.917361 -4.260474
lpop | .0033509 .0886998 0.04 0.970 -.1704975 .1771993
lxrate1 | -.0384317 .016926 -2.27 0.023 -.071606 -.0052573
lremote | -.5449232 .144246 -3.78 0.000 -.8276402 -.2622061
ldist | -2.251825 .1641193 -13.72 0.000 -2.573493 -1.930157
lopen | -.0347026 .0270503 -1.28 0.200 -.0877203 .0183151
english | 1.215561 .103192 11.78 0.000 1.013308 1.417813
white | 4.322077 .8510115 5.08 0.000 2.654125 5.990029
lwhitemg | -.298574 .078613 -3.80 0.000 -.4526525 -.1444954
_cons | 90.16075 11.22685 8.03 0.000 68.15654 112.165
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .000171
lgdp | -.000186 .00276
lgdpau | -.000671 .001708 .123337
lgdpdfrati~w | -.000251 .000644 -.005351 .014955
lpopau | .002255 -.005946 -.409326 .007842 1.41135
lpop | .000115 -.0044 -.001257 -.000175 .00259 .007868
lxrate1 | 8.1e-06 .000195 -.000136 .000377 -.001787 -.000243 .000286
lremote | -.000011 -.000652 -.014738 -.002375 .051393 -.000224 -.000068
ldist | .000803 -.005434 -.002964 .000801 .000638 .009493 .000502
lopen | .000012 -.000081 -.000744 .000916 .002704 .000245 -.000063
english | -.000246 -.000706 .002905 .001777 -.014926 .000969 .000746
white | .000532 -.015105 -.017395 -.000705 .03672 .025607 .001706
lwhitemg | -.000084 .000681 .000019 -.000211 .002042 -.001312 -.000188
_cons | -.025539 .118641 3.70221 -.002476 -13.0538 -.123336 .027014
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .020807
ldist | -.00256 .026935
lopen | .001051 .00025 .000732
english | -.003594 .006592 -.0004 .010649
white | .016562 .030068 .00093 .008233 .724221
lwhitemg | .000704 -.001774 .000016 -.00051 -.06393 .00618
_cons | -.603344 -.203467 -.039522 .134852 -.657969 -.017135 126.042
.
. *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) = 7862.64
Log likelihood = -947.9275 Prob > chi2 = 0.0000
------
lrdiff_lm | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .2342134 .0317757 7.37 0.000 .1719341 .2964926
lgdp | 1.580094 .0727209 21.73 0.000 1.437564 1.722625
lgdpau | -.0421294 .618162 -0.07 0.946 -1.253705 1.169446
lgdpdfrati~w | -.1669836 .2634414 -0.63 0.526 -.6833194 .3493521
lpopau | -1.613386 2.157946 -0.75 0.455 -5.842882 2.616111
lpop | -.5108902 .0813213 -6.28 0.000 -.6702771 -.3515034
lxrate1 | -.1419809 .0282417 -5.03 0.000 -.1973336 -.0866281
lremote | -.3283871 .1234781 -2.66 0.008 -.5703998 -.0863744
ldist | -3.004254 .3359133 -8.94 0.000 -3.662632 -2.345876
lopen | .1164766 .0498038 2.34 0.019 .0188629 .2140903
english | .8588003 .1425292 6.03 0.000 .5794481 1.138152
white | 10.08077 1.843395 5.47 0.000 6.467777 13.69375
lwhitemg | -.8791922 .1841503 -4.77 0.000 -1.24012 -.5182643
_cons | 34.99688 20.52678 1.70 0.088 -5.234866 75.22863
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .00101
lgdp | -.001502 .005288
lgdpau | -.001756 .003423 .382124
lgdpdfrati~w | -.001287 .003028 -.025877 .069401
lpopau | .004814 -.018651 -1.29268 .09639 4.65673
lpop | .000888 -.004407 -.001472 -.002002 .007806 .006613
lxrate1 | .000078 .000376 -.000098 .001202 -.005287 -.000647 .000798
lremote | .00002 -.000448 -.004284 -.000932 .007177 -.001156 .000178
ldist | .004587 .00151 -.011138 -.003199 -.009895 .000513 .001452
lopen | .000132 -.000683 .00126 .001667 -.007552 .001357 -.000241
english | -.001639 .003321 .00301 .00428 -.017606 .000488 .001928
white | .00061 -.026492 .013688 .00041 -.009624 .021537 .004427
lwhitemg | -.000011 .001495 -.002186 -.000551 .005154 -.001417 -.000424
_cons | -.061535 .163613 11.5473 -.987321 -43.1511 -.090792 .071685
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .015247
ldist | .009273 .112838
lopen | .000387 -.000977 .00248
english | -.004845 -.002318 -.001711 .020315
white | .010098 -.153606 .003299 .019345 3.39811
lwhitemg | .000858 .013886 -.000236 -.002354 -.333433 .033911
_cons | -.201586 -.766944 .092727 .186349 1.39595 -.176636 421.349
.
. *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) = 8292.65
Log likelihood = -1095.761 Prob > chi2 = 0.0000
------
lrhomo_lm | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .0218943 .0158438 1.38 0.167 -.0091589 .0529475
lgdp | 1.370771 .0496714 27.60 0.000 1.273416 1.468125
lgdpau | .5521181 .5224718 1.06 0.291 -.4719077 1.576144
lgdpdfrati~w | -.0775657 .1734327 -0.45 0.655 -.4174876 .2623562
lpopau | -5.523333 1.776229 -3.11 0.002 -9.004678 -2.041988
lpop | .0520387 .0709564 0.73 0.463 -.0870332 .1911106
lxrate1 | -.067393 .0204872 -3.29 0.001 -.1075472 -.0272388
lremote | -.9339966 .162806 -5.74 0.000 -1.25309 -.6149028
ldist | -3.455252 .2236102 -15.45 0.000 -3.89352 -3.016984
lopen | .0781168 .0430608 1.81 0.070 -.0062808 .1625143
english | 2.385147 .1377901 17.31 0.000 2.115083 2.655211
white | 3.739504 1.163171 3.21 0.001 1.459731 6.019276
lwhitemg | -.1852923 .0977852 -1.89 0.058 -.3769477 .0063631
_cons | 89.47727 16.92731 5.29 0.000 56.30036 122.6542
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .000251
lgdp | -.000415 .002467
lgdpau | -.000131 .000222 .272977
lgdpdfrati~w | -.000526 .000641 .00258 .030079
lpopau | -.001294 .001122 -.907157 -.006753 3.15499
lpop | .000203 -.002715 -.000473 .000205 -.001572 .005035
lxrate1 | -.000024 .000244 .000446 .000644 -.002863 -.000421 .00042
lremote | .000214 .000597 -.018112 -.001363 .056749 -.000903 -.000235
ldist | .000636 .000416 -.01124 -.001435 .02288 .000631 .000286
lopen | .000068 -.00033 -.000094 .002191 .000739 .000743 -.000136
english | -.000802 .000604 .002775 .001847 -.010684 .001616 .001131
white | .000377 -.01311 -.004189 -.000608 .004854 .023683 -.000097
lwhitemg | -.000011 .000681 -.000967 .000164 .003526 -.001565 .000071
_cons | .022958 -.045248 8.15265 .022142 -29.2479 .021084 .033681
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .026506
ldist | .016565 .050002
lopen | .000992 .000178 .001854
english | -.004154 .003275 -.001383 .018986
white | .00442 -.00393 .000846 .032414 1.35297
lwhitemg | .001401 .002295 7.3e-06 -.002863 -.109959 .009562
_cons | -.854971 -.732628 -.025258 .062098 -.068041 -.057651 286.534
.
. *IV. Aggregate NON-Manufacturing Imports (Sum of Sitc0,1,2,3,4)
. xtgls lrmnmf limmig lgdp lgdpau lgdpdfrationew lpopau lpop lxrate1 lremo
> te ldist lopen english white lwhitemg, panels(hetero)corr(psar1)nolog
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) = 795.24
Log likelihood = -657.0676 Prob > chi2 = 0.0000
------
lrmnmf | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .5035286 .0529416 9.51 0.000 .399765 .6072922
lgdp | .2081992 .0772144 2.70 0.007 .0568618 .3595367
lgdpau | -.6235233 .7649514 -0.82 0.415 -2.122801 .8757539
lgdpdfrati~w | -.9002745 .3090966 -2.91 0.004 -1.506093 -.2944563
lpopau | -.0233319 2.621766 -0.01 0.993 -5.1619 5.115236
lpop | .1676563 .0892531 1.88 0.060 -.0072766 .3425892
lxrate1 | -.1645233 .0291245 -5.65 0.000 -.2216063 -.1074402
lremote | .6065758 .2454475 2.47 0.013 .1255075 1.087644
ldist | -1.945427 .4760956 -4.09 0.000 -2.878557 -1.012297
lopen | .1682127 .0446071 3.77 0.000 .0807844 .255641
english | .1642933 .2305431 0.71 0.476 -.2875628 .6161495
white | 11.2112 .9556798 11.73 0.000 9.338101 13.0843
lwhitemg | -1.063957 .0916677 -11.61 0.000 -1.243622 -.8842912
_cons | 27.00549 24.95986 1.08 0.279 -21.91495 75.92592
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .002803
lgdp | -.001542 .005962
lgdpau | .001901 -.00217 .585151
lgdpdfrati~w | -.002599 .003536 -.014723 .095541
lpopau | -.01617 .009354 -1.94349 .080245 6.87366
lpop | -.000096 -.004089 -.001356 -.002202 -.000339 .007966
lxrate1 | .000099 .000639 .001111 .000997 -.007691 -.001066 .000848
lremote | .003224 .00205 -.022582 -.014372 .046478 -.001441 .00065
ldist | .010041 -.001712 -.016189 -.015462 -.051754 .010267 -.000058
lopen | .000304 -.000535 -.002204 -.002496 -.001697 .000835 -.000119
english | -.000694 .006053 .002819 .006119 -.020497 -.000636 .00127
white | .014218 -.012243 .023148 -.01221 -.160493 .014397 .005997
lwhitemg | -.001455 .000254 -.003539 .000175 .018973 -.000512 -.000578
_cons | .115564 -.170866 17.3039 -.809749 -63.1252 -.069004 .089837
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .060244
ldist | .048663 .226667
lopen | .000609 .003117 .00199
english | -.006451 .003858 -.000128 .05315
white | .035355 -.013326 .000933 .06062 .913324
lwhitemg | -.000472 .003238 -.000032 -.005366 -.082915 .008403
_cons | -1.19778 -1.47499 .053252 .115777 1.76901 -.231169 622.995
.
. *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) = 1408.46
Log likelihood = -612.7793 Prob > chi2 = 0.0000
------
lrmmfn | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .1534903 .0399658 3.84 0.000 .0751587 .231822
lgdp | .6715517 .0757615 8.86 0.000 .5230619 .8200415
lgdpau | -.0447658 .2075119 -0.22 0.829 -.4514816 .3619501
lgdpdfrati~w | -.2957105 .1183677 -2.50 0.012 -.527707 -.063714
lpopau | 1.909813 .7254458 2.63 0.008 .487965 3.33166
lpop | .5254415 .1155359 4.55 0.000 .2989952 .7518878
lxrate1 | -.0914612 .0196217 -4.66 0.000 -.1299191 -.0530033
lremote | .2264817 .0789618 2.87 0.004 .0717193 .381244
ldist | -3.079432 .3523073 -8.74 0.000 -3.769941 -2.388922
lopen | .1177256 .0607898 1.94 0.053 -.0014202 .2368715
english | .6819836 .2603655 2.62 0.009 .1716766 1.192291
white | 23.33409 2.958086 7.89 0.000 17.53635 29.13183
lwhitemg | -2.281248 .274135 -8.32 0.000 -2.818543 -1.743953
_cons | -21.31 8.230429 -2.59 0.010 -37.44134 -5.178653
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .001597
lgdp | -.001329 .00574
lgdpau | -.001361 .000578 .043061
lgdpdfrati~w | .000208 -.001605 .007196 .014011
lpopau | .007315 -.006698 -.139769 -.011449 .526272
lpop | -.000069 -.005549 .001334 .001518 -.00565 .013349
lxrate1 | -.000016 .000203 -.000377 -.000258 .002194 -.000471 .000385
lremote | -.000256 .0019 -.004948 -.005447 .006205 -.001983 .000449
ldist | .006236 -.002813 -.006308 -.001359 .0278 .003325 -.000699
lopen | -.00017 -.00039 .000168 -.001618 -.012578 .002059 -.000459
english | -.001486 .00302 .001835 .000419 -.005998 .002062 5.5e-06
white | .005696 -.013841 .008954 .007324 -.016508 .03362 -.000966
lwhitemg | -.000877 .000779 -.000852 -.000836 .000792 -.002675 .000102
_cons | -.120397 .068595 1.25849 .058076 -5.18091 -.039081 -.02181
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .006235
ldist | .001544 .12412
lopen | .001145 .001246 .003695
english | -.000193 .038327 -.001103 .06779
white | -.005366 .050497 .004789 .048383 8.75027
lwhitemg | .000667 -.008323 -.0003 -.005493 -.798206 .07515
_cons | -.047523 -1.5168 .165799 -.421542 -.667133 .114614 67.74
.
.
. **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) = 525.51
Log likelihood = -584.7941 Prob > chi2 = 0.0000
------
lrmsitc0 | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .5364989 .0494735 10.84 0.000 .4395327 .6334651
lgdp | .0882168 .0844871 1.04 0.296 -.077375 .2538085
lgdpau | 1.963869 .817634 2.40 0.016 .3613361 3.566403
lgdpdfrati~w | -.6483933 .3175191 -2.04 0.041 -1.270719 -.0260674
lpopau | -9.773041 2.812358 -3.48 0.001 -15.28516 -4.260921
lpop | .2271733 .1044086 2.18 0.030 .0225362 .4318103
lxrate1 | -.1298479 .0279382 -4.65 0.000 -.1846057 -.0750901
lremote | .0330969 .2468401 0.13 0.893 -.4507008 .5168946
ldist | -1.766275 .3455459 -5.11 0.000 -2.443533 -1.089018
lopen | .061032 .0544591 1.12 0.262 -.0457059 .1677699
english | -.1765166 .2206841 -0.80 0.424 -.6090495 .2560162
white | 9.06407 1.167971 7.76 0.000 6.774889 11.35325
lwhitemg | -.8376942 .1026217 -8.16 0.000 -1.038829 -.6365594
_cons | 124.5773 26.59115 4.68 0.000 72.45957 176.6949
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .002448
lgdp | -.001552 .007138
lgdpau | .000608 .000313 .668525
lgdpdfrati~w | -.001459 .002504 -.019186 .100818
lpopau | -.006438 -.009116 -2.23359 .088206 7.90936
lpop | .000056 -.005691 -.001582 -.000589 .004074 .010901
lxrate1 | .000213 -.00007 .001037 .001119 -.007221 -.000397 .000781
lremote | .001457 .003856 -.018484 -.01316 .044893 -.002588 .000367
ldist | .005154 -.000155 -.008455 -.002849 -.026268 .007693 .001348
lopen | -.000355 .001178 -.000212 -.000911 -.00876 .000079 1.4e-06
english | -.001246 .002112 .004008 .003938 -.018047 -.000746 .000621
white | .015039 -.029479 .02376 -.003631 -.078596 .03426 .006196
lwhitemg | -.001481 .001376 -.003622 -.00076 .015315 -.001819 -.000598
_cons | .046558 .048783 19.7832 -.965947 -72.6719 -.121046 .079643
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .06093
ldist | .032301 .119402
lopen | .001154 .001741 .002966
english | -.007451 .019408 .000266 .048701
white | .018736 .013184 -.003761 .022705 1.36416
lwhitemg | .000684 -.000631 .000167 -.002008 -.115155 .010531
_cons | -1.13866 -.912552 .102008 .025653 .349195 -.145437 707.089
. 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) = 1230.66
Log likelihood = -470.1428 Prob > chi2 = 0.0000
------
lrmsitc1 | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .0534157 .0239046 2.23 0.025 .0065636 .1002678
lgdp | .268505 .0579461 4.63 0.000 .1549327 .3820774
lgdpau | -.3335218 .3931905 -0.85 0.396 -1.104161 .4371174
lgdpdfrati~w | -.6489665 .2629014 -2.47 0.014 -1.164244 -.1336893
lpopau | 3.411952 1.398211 2.44 0.015 .6715083 6.152396
lpop | -.0392507 .0654696 -0.60 0.549 -.1675688 .0890674
lxrate1 | -.1173848 .0212753 -5.52 0.000 -.1590836 -.075686
lremote | -.1592449 .1321313 -1.21 0.228 -.4182175 .0997277
ldist | -1.675212 .2464957 -6.80 0.000 -2.158334 -1.192089
lopen | .054662 .0379009 1.44 0.149 -.0196224 .1289464
english | .8289923 .1711225 4.84 0.000 .4935983 1.164386
white | 7.482903 1.76354 4.24 0.000 4.026429 10.93938
lwhitemg | -.517498 .1812028 -2.86 0.004 -.872649 -.162347
_cons | -34.22442 14.12106 -2.42 0.015 -61.90118 -6.547654
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .000571
lgdp | -.000636 .003358
lgdpau | .000483 -.001 .154599
lgdpdfrati~w | -.000691 -.000394 -.004998 .069117
lpopau | -.00259 .006191 -.526928 .047511 1.955
lpop | .000311 -.002873 -.000216 .001166 -.005596 .004286
lxrate1 | -3.2e-06 .000207 .001642 .000814 -.008285 -.00026 .000453
lremote | .000336 .000775 -.009155 -.004788 .030739 -.000075 -.000552
ldist | .00167 .000765 -.004236 -.00248 .000571 .001778 -.000537
lopen | .000068 -.000333 -.000897 .001291 -.000859 .000519 3.4e-07
english | -.000692 -.000661 .000569 .00219 -.000849 .002698 .000076
white | .002866 -.022455 .007681 -.002538 -.069952 .023141 .001033
lwhitemg | -.000285 .001292 -.000858 .000566 .005494 -.001523 -.000064
_cons | .018804 -.116732 4.82713 -.675729 -18.9486 .077693 .101336
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .017459
ldist | .006564 .06076
lopen | .000068 .000224 .001436
english | -.001702 .01152 .000089 .029283
white | .019712 -.044858 .002154 .037268 3.11007
lwhitemg | -.000957 .003501 -.000146 -.003506 -.314838 .032834
_cons | -.495106 -.584117 .033965 -.126643 1.32797 -.097384 199.404
. 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) = 1259.45
Log likelihood = -850.2815 Prob > chi2 = 0.0000
------
lrmsitc2 | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .1283989 .0648532 1.98 0.048 .0012889 .2555089
lgdp | .5854061 .1059284 5.53 0.000 .3777902 .7930219
lgdpau | -2.247751 1.088112 -2.07 0.039 -4.380411 -.1150914
lgdpdfrati~w | -1.043381 .439176 -2.38 0.018 -1.90415 -.1826121
lpopau | 4.696794 3.72765 1.26 0.208 -2.609266 12.00285
lpop | .172493 .1278791 1.35 0.177 -.0781454 .4231315
lxrate1 | -.1722925 .0389568 -4.42 0.000 -.2486463 -.0959386
lremote | 1.507326 .2799433 5.38 0.000 .9586471 2.056004
ldist | -1.691204 .5314847 -3.18 0.001 -2.732894 -.6495126
lopen | .0126948 .0776264 0.16 0.870 -.1394501 .1648398
english | -.0082624 .253928 -0.03 0.974 -.5059522 .4894274
white | 10.13776 1.546897 6.55 0.000 7.105898 13.16962
lwhitemg | -.7948213 .1539243 -5.16 0.000 -1.096507 -.4931352
_cons | -27.83544 35.08788 -0.79 0.428 -96.60642 40.93555
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .004206
lgdp | -.004151 .011221
lgdpau | -.001916 .004793 1.18399
lgdpdfrati~w | -.001805 .004351 -.004235 .192876
lpopau | .002086 -.023304 -3.95355 .061572 13.8954
lpop | .001244 -.009925 -.002108 -.002691 .008583 .016353
lxrate1 | .000104 .001529 .000845 .001476 -.009862 -.001533 .001518
lremote | .001518 -.001582 -.035714 -.020025 .090196 .001124 .001228
ldist | .011723 -.006519 -.011961 -.012117 -.020231 .0159 -.001363
lopen | .00045 -.000908 .004543 .000931 -.027391 .002137 -.000356
english | -.006514 .010715 .006353 -.000039 -.022251 -.007176 -.000396
white | .023499 -.049088 -.026657 -.03314 -.003025 .054276 .003236
lwhitemg | -.002728 .003116 -.001748 .000627 .018551 -.003271 -.000534
_cons | -.055204 .251638 34.8921 -.867124 -127.142 -.278367 .126418
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .078368
ldist | .027817 .282476
lopen | .002885 .005458 .006026
english | -.000921 .016716 -.000402 .064479
white | .099627 .103307 .004159 .01065 2.39289
lwhitemg | -.002373 -.014645 -.000376 -.00194 -.227371 .023693
_cons | -1.49038 -2.43455 .248383 -.055289 -.978147 -.104676 1231.16
. 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) = 665.65
Log likelihood = -113.2648 Prob > chi2 = 0.0000
------
lrmsitc3 | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .0102554 .0269715 0.38 0.704 -.0426078 .0631185
lgdp | .200733 .0591544 3.39 0.001 .0847926 .3166735
lgdpau | .2763324 .3875773 0.71 0.476 -.4833051 1.03597
lgdpdfrati~w | .2883109 .1822396 1.58 0.114 -.0688721 .6454939
lpopau | 3.378604 1.385478 2.44 0.015 .6631173 6.094091
lpop | .2813984 .0756698 3.72 0.000 .1330882 .4297085
lxrate1 | -.0467154 .0157213 -2.97 0.003 -.0775286 -.0159021
lremote | .0409468 .1178103 0.35 0.728 -.1899571 .2718507
ldist | -2.53799 .3979492 -6.38 0.000 -3.317956 -1.758024
lopen | .1163403 .0412179 2.82 0.005 .0355548 .1971259
english | .7250964 .1714812 4.23 0.000 .3889994 1.061193
white | 15.39987 1.149965 13.39 0.000 13.14598 17.65376
lwhitemg | -1.294176 .1067161 -12.13 0.000 -1.503335 -1.085016
_cons | -48.03985 14.38019 -3.34 0.001 -76.22451 -19.85519
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .000727
lgdp | -.000675 .003499
lgdpau | -.000664 -.000022 .150216
lgdpdfrati~w | -.000809 .000951 -.000071 .033211
lpopau | .002167 .001864 -.505192 .015632 1.91955
lpop | .000014 -.002392 .000362 .000355 -.004531 .005726
lxrate1 | .000028 .000115 .000234 .000534 -.002799 -.000137 .000247
lremote | .000804 .001886 -.006513 -.003325 .019615 -.001352 .000097
ldist | .001982 -.00317 -.008526 -.006961 -.011659 .007189 .00011
lopen | .000037 -.000082 -.000074 .000296 -.003208 .000521 -.000068
english | -.00076 -.00028 .002924 .002352 -.021083 .004081 .000157
white | .004221 -.016079 .026221 -.006509 -.272062 .023001 .003374
lwhitemg | -.000397 .000818 -.002654 .000535 .025937 -.001781 -.000351
_cons | -.03298 -.054555 4.5744 -.221441 -18.632 -.028153 .036427
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .013879
ldist | .013194 .158364
lopen | -.000013 -.000151 .001699
english | -.003906 .005802 9.1e-06 .029406
white | -.004411 -.021906 -.001351 .043274 1.32242
lwhitemg | .000406 .003345 .00011 -.004 -.120049 .011388
_cons | -.42187 -1.26515 .051548 .187616 4.0284 -.382636 206.79
. 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) = 284.57
Log likelihood = 112.7394 Prob > chi2 = 0.0000
------
lrmsitc4 | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | -.0162678 .0206013 -0.79 0.430 -.0566456 .02411
lgdp | .4134091 .0531182 7.78 0.000 .3092994 .5175188
lgdpau | -.2883881 .3558438 -0.81 0.418 -.9858292 .409053
lgdpdfrati~w | -.2088775 .161958 -1.29 0.197 -.5263094 .1085544
lpopau | 4.077032 1.278771 3.19 0.001 1.570686 6.583377
lpop | -.1679427 .0574945 -2.92 0.003 -.2806298 -.0552556
lxrate1 | -.1127417 .0157642 -7.15 0.000 -.1436389 -.0818445
lremote | .4224846 .1260568 3.35 0.001 .1754178 .6695515
ldist | -1.40291 .2676938 -5.24 0.000 -1.92758 -.8782394
lopen | .0480571 .0299298 1.61 0.108 -.0106043 .1067185
english | -.0074238 .1608267 -0.05 0.963 -.3226384 .3077907
white | 8.484819 1.826315 4.65 0.000 4.905307 12.06433
lwhitemg | -.7273252 .1709358 -4.25 0.000 -1.062353 -.3922972
_cons | -55.87282 13.20033 -4.23 0.000 -81.74499 -30.00064
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .000424
lgdp | -.000537 .002822
lgdpau | .000109 -.000436 .126625
lgdpdfrati~w | -.000555 .000608 -.00415 .02623
lpopau | -.001648 .004019 -.4319 .022524 1.63526
lpop | .000188 -.002181 .000026 -4.2e-06 -.001632 .003306
lxrate1 | -.000034 .000059 .000569 .000575 -.004432 -.00015 .000249
lremote | .000305 .001555 -.006361 -.002211 .023339 -.001644 -.000137
ldist | .002395 -.004418 -.000626 -.002968 -.004908 .006018 -.000076
lopen | -6.7e-06 -.000066 .000052 .000194 -.001622 .000292 -.000041
english | -.000333 -.001028 .001021 .002389 .007606 .004223 .000341
white | .003482 -.015241 .013757 -.002068 -.115689 .016692 .001245
lwhitemg | -.000372 .00102 -.001665 .000237 .011654 -.00141 -.000087
_cons | .00681 -.05336 3.91489 -.259238 -16.0209 -.021057 .060034
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .01589
ldist | .004275 .07166
lopen | .000082 -.000413 .000896
english | -.002315 .013978 -.000081 .025865
white | -.001331 .036611 -.000195 .043423 3.33543
lwhitemg | .000778 -.004486 .000052 -.004407 -.306713 .029219
_cons | -.406284 -.62878 .026287 -.318722 1.26462 -.11124 174.249
. 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) = 620.70
Log likelihood = -672.4075 Prob > chi2 = 0.0000
------
lrmsitc5 | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .1500097 .05028 2.98 0.003 .0514627 .2485568
lgdp | .9229513 .1026051 9.00 0.000 .7218491 1.124053
lgdpau | -.4430124 .6465336 -0.69 0.493 -1.710195 .8241701
lgdpdfrati~w | -.4833016 .2746409 -1.76 0.078 -1.021588 .0549846
lpopau | 3.495229 2.220252 1.57 0.115 -.8563838 7.846843
lpop | -.3812568 .1409724 -2.70 0.007 -.6575575 -.104956
lxrate1 | -.1752047 .0310752 -5.64 0.000 -.236111 -.1142984
lremote | .0985413 .222903 0.44 0.658 -.3383405 .5354231
ldist | -3.49485 .6784927 -5.15 0.000 -4.824671 -2.165029
lopen | .04684 .0637022 0.74 0.462 -.078014 .171694
english | -1.045117 .3818633 -2.74 0.006 -1.793555 -.2966789
white | 17.79328 4.286664 4.15 0.000 9.391577 26.19499
lwhitemg | -1.606819 .3963481 -4.05 0.000 -2.383647 -.8299905
_cons | -25.35089 21.96584 -1.15 0.248 -68.40314 17.70135
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .002528
lgdp | -.002279 .010528
lgdpau | .001223 -.001798 .418006
lgdpdfrati~w | -.002174 .003933 -.007293 .075428
lpopau | -.007272 .003583 -1.38389 .051242 4.92952
lpop | .000425 -.008402 -.001245 -.001319 -.011922 .019873
lxrate1 | .000138 .00054 .002345 .001346 -.01185 -.000733 .000966
lremote | .000781 .003521 -.023184 -.010247 .050842 -.002951 .000422
ldist | .011161 .012077 -.011761 -.003337 -.035474 .002226 .000308
lopen | .000459 -.001072 -.002946 .000476 -.002711 .001677 -.00022
english | -.003988 .002391 .001317 .007663 -.029676 .012316 .000434
white | .01144 -.036148 .12107 .033605 -.359714 .059083 .006421
lwhitemg | -.00161 .001552 -.012872 -.004018 .040884 -.004019 -.000735
_cons | .009881 -.256943 12.3563 -.679422 -45.4542 .108619 .121997
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .049686
ldist | .028562 .460352
lopen | .000528 .003378 .004058
english | -.003021 .116015 -.001708 .14582
white | .026259 .213182 .002954 .224765 18.3755
lwhitemg | -.00012 -.034684 -.000168 -.024877 -1.67307 .157092
_cons | -.970952 -4.12209 .084806 -.892715 .210971 .041407 482.498
. 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) = 768.98
Log likelihood = -554.875 Prob > chi2 = 0.0000
------
lrmsitc6 | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .183989 .0435313 4.23 0.000 .0986692 .2693089
lgdp | .7090955 .0969565 7.31 0.000 .5190642 .8991268
lgdpau | .3032445 .5501701 0.55 0.582 -.7750691 1.381558
lgdpdfrati~w | -.0540726 .2456789 -0.22 0.826 -.5355945 .4274492
lpopau | -2.258782 1.89395 -1.19 0.233 -5.970857 1.453292
lpop | .2924457 .1300969 2.25 0.025 .0374604 .547431
lxrate1 | -.1225418 .0301566 -4.06 0.000 -.1816476 -.063436
lremote | -.1851806 .1928977 -0.96 0.337 -.5632532 .192892
ldist | -2.514358 .4265353 -5.89 0.000 -3.350352 -1.678365
lopen | -.023615 .0605897 -0.39 0.697 -.1423685 .0951385
english | .7962793 .3386047 2.35 0.019 .1326262 1.459932
white | 21.00515 3.268403 6.43 0.000 14.59919 27.4111
lwhitemg | -2.056753 .2882519 -7.14 0.000 -2.621717 -1.49179
_cons | 37.91205 18.24806 2.08 0.038 2.146517 73.67758
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .001895
lgdp | -.00172 .009401
lgdpau | -.0021 .003884 .302687
lgdpdfrati~w | -.001387 .002435 .003052 .060358
lpopau | .006793 -.026881 -1.00684 -.005037 3.58705
lpop | .000471 -.008564 -.003196 -.001754 .0124 .016925
lxrate1 | .000056 .000569 .00096 .001204 -.005658 -.000834 .000909
lremote | .000223 .002488 -.014481 -.01316 .032985 -.001949 .000285
ldist | .005872 -.002395 -.007742 -.000778 -.002403 .01326 .000377
lopen | .000167 -.000229 -.000348 .002251 -.007309 .00108 -.000154
english | -.003421 .001711 .007002 .005186 -.025789 .001731 .000545
white | .006711 -.035692 .023472 .000451 -.034084 .061456 .004501
lwhitemg | -.000936 .001469 -.003199 -.00119 .01032 -.004363 -.000445
_cons | -.092024 .273046 8.92764 .042403 -32.9705 -.303658 .058482
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .03721
ldist | .003505 .181932
lopen | .000701 .000517 .003671
english | -.00775 .050663 -.001325 .114653
white | .011473 .031975 .002588 .026884 10.6825
lwhitemg | .001015 -.006133 -.000286 -.000962 -.926977 .083089
_cons | -.538865 -1.71413 .107475 -.252213 -.699184 .006168 332.992
. 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) = 1525.27
Log likelihood = -764.5838 Prob > chi2 = 0.0000
------
lrmsitc7 | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | -.0196265 .0267872 -0.73 0.464 -.0721285 .0328755
lgdp | 1.256562 .0940102 13.37 0.000 1.072305 1.440819
lgdpau | .7513378 .699652 1.07 0.283 -.619955 2.122631
lgdpdfrati~w | -.142452 .2494301 -0.57 0.568 -.6313259 .3464219
lpopau | 3.288818 2.44905 1.34 0.179 -1.511233 8.088868
lpop | -.5284871 .1419635 -3.72 0.000 -.8067305 -.2502438
lxrate1 | -.1437016 .0251118 -5.72 0.000 -.1929197 -.0944834
lremote | -.4913951 .1991246 -2.47 0.014 -.881672 -.1011181
ldist | -2.040194 .709823 -2.87 0.004 -3.431422 -.6489664
lopen | .0545455 .0649267 0.84 0.401 -.0727085 .1817994
english | .0120056 .3214863 0.04 0.970 -.6180961 .6421072
white | 28.52201 2.607156 10.94 0.000 23.41208 33.63195
lwhitemg | -2.718017 .2489492 -10.92 0.000 -3.205948 -2.230085
_cons | -67.35767 24.51999 -2.75 0.006 -115.416 -19.29939
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .000718
lgdp | -.001294 .008838
lgdpau | .00136 -.003621 .489513
lgdpdfrati~w | -.001445 .003413 -.012279 .062215
lpopau | -.009561 -.002477 -1.63581 .03891 5.99785
lpop | .000844 -.00963 .000879 -.001683 .008671 .020154
lxrate1 | .000017 .000495 .000919 .001081 -.010101 -.000818 .000631
lremote | .00077 .005545 -.022825 -.000772 .033686 -.006462 .000454
ldist | .003995 .018802 -.022489 .002651 -.060968 -.002244 .001616
lopen | .000087 -.000016 -.002965 .005632 .003872 .000864 -.000221
english | -.000933 .003745 .001207 .00395 -.022252 .002172 .001494
white | .011661 -.042709 .059803 -.01343 -.549307 .060753 .012322
lwhitemg | -.001059 .002497 -.006989 .000967 .061534 -.004416 -.001224
_cons | .092247 -.138791 14.7767 -.450376 -56.3459 -.189056 .121686
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .039651
ldist | .062391 .503849
lopen | .001398 .002405 .004215
english | .00251 .080989 -.001093 .103353
white | .043521 .100153 -.010692 .239053 6.79726
lwhitemg | -.003244 -.018304 .001167 -.02673 -.639703 .061976
_cons | -.930771 -4.18326 -.037399 -.593595 6.09016 -.609574 601.23
. 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) = 579.13
Log likelihood = -589.3779 Prob > chi2 = 0.0000
------
lrmsitc8 | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .3677171 .0584763 6.29 0.000 .2531057 .4823285
lgdp | .4532955 .1017161 4.46 0.000 .2539355 .6526555
lgdpau | 1.227535 .7841102 1.57 0.117 -.3092922 2.764363
lgdpdfrati~w | -.6176294 .3276691 -1.88 0.059 -1.259849 .0245903
lpopau | -5.46224 2.700387 -2.02 0.043 -10.7549 -.1695797
lpop | .2362039 .1166365 2.03 0.043 .0076006 .4648072
lxrate1 | -.1086393 .0342657 -3.17 0.002 -.1757988 -.0414798
lremote | -.0195043 .2274771 -0.09 0.932 -.4653512 .4263426
ldist | -1.960598 .550162 -3.56 0.000 -3.038896 -.8823006
lopen | .149803 .0743275 2.02 0.044 .0041237 .2954822
english | -.3620843 .2540281 -1.43 0.154 -.8599701 .1358016
white | 16.94685 2.235387 7.58 0.000 12.56557 21.32813
lwhitemg | -1.612678 .2088255 -7.72 0.000 -2.021968 -1.203387
_cons | 66.46342 25.42506 2.61 0.009 16.63122 116.2956
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .003419
lgdp | -.003312 .010346
lgdpau | -.002664 .007203 .614829
lgdpdfrati~w | -.002434 .006755 -.010624 .107367
lpopau | .006109 -.036077 -2.05245 .053201 7.29209
lpop | .000897 -.007537 -.005134 -.004686 .014877 .013604
lxrate1 | .000419 .000524 -.000521 .00079 -.004287 -.000598 .001174
lremote | .000233 .001737 -.012166 -.017739 .006969 .000849 .001782
ldist | .010741 .00044 -.008266 -.008243 -.063697 .002479 .001404
lopen | -.000413 .000874 .002271 .000026 -.023011 .001492 -.000135
english | -.005894 .010945 .008531 .007578 -.035587 -.00224 -.001265
white | .018603 -.03367 .015733 -.05684 .033056 .023127 .001354
lwhitemg | -.002061 .001355 -.00353 .002449 .009116 -.000542 -.000486
_cons | -.094625 .286967 18.0501 -.544852 -66.1286 -.188747 .048128
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .051746
ldist | .033056 .302678
lopen | .002288 .001459 .005525
english | .003286 .060022 -.000871 .06453
white | .102517 .137791 -.006758 .058287 4.99695
lwhitemg | -.00641 -.02155 .000691 -.008695 -.456627 .043608
_cons | -.609179 -2.0112 .252587 -.427802 -2.89227 .196577 646.434
. 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) = 1559.66
Log likelihood = -278.5276 Prob > chi2 = 0.0000
------
lrmsitc9 | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | -.0037066 .0226049 -0.16 0.870 -.0480114 .0405982
lgdp | .611801 .0768174 7.96 0.000 .4612417 .7623603
lgdpau | -.3243184 .5366975 -0.60 0.546 -1.376226 .7275893
lgdpdfrati~w | -.0211317 .2227289 -0.09 0.924 -.4576723 .4154089
lpopau | 1.517773 1.848192 0.82 0.412 -2.104616 5.140162
lpop | -.4148131 .1009711 -4.11 0.000 -.6127128 -.2169133
lxrate1 | -.052693 .0231021 -2.28 0.023 -.0979722 -.0074138
lremote | .0099867 .1740971 0.06 0.954 -.3312373 .3512107
ldist | -3.171158 .4885758 -6.49 0.000 -4.128749 -2.213567
lopen | .0322078 .0500617 0.64 0.520 -.0659113 .130327
english | .0470153 .2574191 0.18 0.855 -.4575169 .5515474
white | 16.58941 2.387196 6.95 0.000 11.91059 21.26823
lwhitemg | -1.303302 .2545212 -5.12 0.000 -1.802154 -.8044495
_cons | 7.744808 18.11748 0.43 0.669 -27.7648 43.25441
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .000511
lgdp | -.000671 .005901
lgdpau | .000256 -.001468 .288044
lgdpdfrati~w | -.000793 .001453 -.010224 .049608
lpopau | -.002078 .002951 -.963484 .045602 3.41581
lpop | .000295 -.004897 -4.2e-06 -.000925 -.006002 .010195
lxrate1 | -.000016 .000167 .001064 .001254 -.006123 -.00057 .000534
lremote | .00025 .002283 -.018291 -.004281 .054945 -.002876 -.000222
ldist | .002574 .00078 -.009032 -.003862 -.023357 .018991 -.000199
lopen | .00005 -.00036 -.001861 .001604 .003603 .001204 -.000046
english | -.001089 .00106 .001455 .002431 -.000622 .00247 .000602
white | .004084 -.032851 .026341 -.004447 -.220674 .048071 .002267
lwhitemg | -.000414 .001407 -.004032 .000216 .028054 -.003963 -.000057
_cons | .009945 -.089256 8.70933 -.484897 -31.6456 -.106335 .079067
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .03031
ldist | .014193 .238706
lopen | -.000233 .00047 .002506
english | -.00134 .040433 .000058 .066265
white | .004626 .155101 -4.5e-06 .092203 5.69871
lwhitemg | .002029 -.018546 .000062 -.009769 -.598213 .064781
_cons | -.835103 -2.1185 -.024547 -.474031 1.38196 -.167166 328.243
.
. clear
. insheet using k:\book1.txt
(104 vars, 1010 obs)
. *Dropping Finland
. drop if ccode==722420
(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 487309.2 1561891 7348 0 1.39e+07
immig | 1000 33373.65 117060.4 2790 0 1137050
gdp | 1000 2.77e+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 105.5603 16.86559 102.6773 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 1043.08 10901.71 16.2185 .0068 270182.6
remote | 1000 6772.038 4131.847 6797 1293 39620
dist | 1000 13351.64 3527.877 14215 2409 17972
open | 1000 .7087376 .3897995 .63495 .0671 3.2192
english | 1000 .38 .4856293 0 0 1
gdpdfratio~w | 1000 1.05113 .1808033 1.011523 .5844526 2.009028
white | 1000 .12 .3251241 0 0 1
whitemg | 1000 20413.2 116480.3 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 | 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