1
Gambia to Dominican Rep
------
log: K:\Gambia to Dominican_rep.log
opened on: 25 Jul 2006, 19:15:59
After Gambia, 1-20
After Denmark 21-40
After Benin, 41-60
After Dominican 61-81
.
. *Dropping Gambia
. drop if ccode==142660
(10 observations deleted)
.
.
. *Descriptive stats after dropping
. tabstat rimp immig gdp gdpau gdpdefnew gdpdfau pop popau xrate1 remote dist open english gdpdfration
> ew white whitemg, stat(n mean sd median min max) col(stat)
variable | N mean sd p50 min max
------+------
rimp | 1000 491197.8 1561183 8397.5 0 1.39e+07
immig | 1000 33461.85 117038.6 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 105.6863 16.94867 102.6999 60.87417 207.3465
gdpdfau | 1000 100.7173 4.633489 100.8223 94.42464 109.9797
pop | 1000 4.96e+07 1.54e+08 1.04e+07 41000 1.26e+09
popau | 1000 1.82e+07 612793.8 1.82e+07 1.73e+07 1.92e+07
xrate1 | 1000 1043.045 10901.71 16.2185 .0068 270182.6
remote | 1000 6734.84 4146.011 6764 1293 39620
dist | 1000 13331.72 3511.917 14215 2409 17972
open | 1000 .7035168 .3867989 .63155 .0671 3.2192
english | 1000 .37 .4830459 0 0 1
gdpdfratio~w | 1000 1.052366 .1814623 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" countries)--RHS Variables:
. by white: tabstat rimp immig gdp gdpau gdpdefnew gdpdfau pop popau xrate1 remote 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 404947.1 1597577 3443.5 0 1.39e+07
immig | 870 14896.77 27125.19 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 | 870 104.812 17.31039 101.6682 60.87417 207.3465
gdpdfau | 870 100.7173 4.633836 100.8223 94.42464 109.9797
pop | 870 5.35e+07 1.65e+08 1.07e+07 41000 1.26e+09
popau | 870 1.82e+07 612839.6 1.82e+07 1.73e+07 1.92e+07
xrate1 | 870 1182.909 11681.74 22.9426 .0068 270182.6
remote | 870 7160.538 4116.789 6930 1293 39620
dist | 870 13156.46 3395.41 14040 2410 17972
phone | 870 159.1312 241.9595 49.865 .54 1449.75
open | 870 .7102279 .408121 .6248 .0671 3.2192
english | 870 .3793103 .4854945 0 0 1
gdpdfratio~w | 870 1.043907 .1863852 1 .5844526 2.009028
white | 870 0 0 0 0 0
whitemg | 870 0 0 0 0 0
------
------
-> white = 1
variable | N mean sd p50 min max
------+------
rimp | 130 1068414 1138347 522863.5 40432 3843839
immig | 130 157705 288518.8 21174 2612 1137050
gdp | 130 5.56e+11 6.58e+11 2.54e+11 5.15e+10 2.69e+12
gdpau | 130 3.83e+11 4.46e+10 3.80e+11 3.19e+11 4.52e+11
gdpdefnew | 130 111.5379 12.89742 112.2247 85.45601 143.9587
gdpdfau | 130 100.7173 4.649088 100.8223 94.42464 109.9797
pop | 130 2.34e+07 2.55e+07 8837000 3477200 8.22e+07
popau | 130 1.82e+07 614856.7 1.82e+07 1.73e+07 1.92e+07
xrate1 | 130 107.0323 293.6987 4.4722 .3774 1261.556
remote | 130 3885.938 3089.96 2888 1530 12501
dist | 130 14504.62 4031.974 15931 2409 17493
phone | 130 734.716 269.9717 652.085 343.99 1487.08
open | 130 .6586038 .1850905 .64065 .3517 1.2967
english | 130 .3076923 .4633239 0 0 1
gdpdfratio~w | 130 1.108974 .1314272 1.116445 .8254872 1.441221
white | 130 1 0 1 1 1
whitemg | 130 157705 288518.8 21174 2612 1137050
------
.
.
. **Regression of Imports
. tsset ccode year
panel variable: ccode, 117100 to 725980
time variable: year, 1991 to 2000
.
. **I. Aggregate Imports
. xtgls lrimp limmig lgdp lgdpau lgdpdfrationew lpopau lpop lxrate1 lremote ldist lopen english
> white lwhitemg, igls panels(hetero)corr(psar1)nolog
Cross-sectional time-series FGLS regression
Coefficients: generalized least squares
Panels: heteroskedastic
Correlation: panel-specific AR(1)
Estimated covariances = 100 Number of obs = 1000
Estimated autocorrelations = 100 Number of groups = 100
Estimated coefficients = 14 Time periods = 10
Wald chi2(13) = 10830.31
Log likelihood = -559.0799 Prob > chi2 = 0.0000
------
lrimp | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .336393 .0310148 10.85 0.000 .2756051 .3971809
lgdp | 1.202288 .0326381 36.84 0.000 1.138318 1.266258
lgdpau | .2246646 .6268501 0.36 0.720 -1.003939 1.453268
lgdpdfrati~w | -.8861816 .2443391 -3.63 0.000 -1.365077 -.4072858
lpopau | -2.781379 2.165546 -1.28 0.199 -7.025771 1.463013
lpop | .0185749 .0402013 0.46 0.644 -.0602182 .0973679
lxrate1 | -.1279223 .0172798 -7.40 0.000 -.1617901 -.0940544
lremote | -.4188364 .0757953 -5.53 0.000 -.5673925 -.2702803
ldist | -2.100354 .1691537 -12.42 0.000 -2.431889 -1.768819
lopen | .3213159 .060256 5.33 0.000 .2032164 .4394154
english | .9220494 .1225078 7.53 0.000 .6819386 1.16216
white | 4.659782 .5406286 8.62 0.000 3.60017 5.719395
lwhitemg | -.4348274 .0483255 -9.00 0.000 -.5295437 -.3401111
_cons | 42.11239 19.94081 2.11 0.035 3.029112 81.19567
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1 lremote ldist
------+------
limmig | .000962
lgdp | -.000317 .001065
lgdpau | -.000602 .001367 .392941
lgdpdfrati~w | -.000836 .000155 -.009696 .059702
lpopau | .001403 -.008418 -1.33342 .050643 4.68959
lpop | -.000128 -.000679 .000116 .000182 -.000214 .001616
lxrate1 | .000078 .000152 .000347 .000146 -.00215 -.00008 .000299
lremote | .000443 .000124 .000117 -.001821 -.004942 -.000285 .000116 .005745
ldist | .001517 .001056 .001367 -.001427 -.012931 .000145 .001932 .004947 .028613
lopen | -.000193 .000749 .003028 .000718 -.020671 .000311 .000113 .001436 .000421
english | -.001191 .002658 .002473 .002141 -.009564 -.001301 .000477 -.002994 .002037
white | .00461 -.001148 .004072 -.010411 -.024416 .004293 -.000027 -.000709 -.000066
lwhitemg | -.000568 .000107 -.000437 .000957 .002943 -.000354 -.000017 .000192 -.000543
_cons | -.022913 .078934 11.7778 -.620297 -42.524 -.006653 .003233 -.015167 -.177389
| lopen english white lwhitemg _cons
------+------
lopen | .003631
english | -.000601 .015008
white | -.000822 .005208 .292279
lwhitemg | -.000037 -.000306 -.025635 .002335
_cons | .227501 .055352 .22269 -.026152 397.636
.
. **II. Conservative Estimates
. *2.1. Aggregate reference priced Imports (conservative)
. xtgls lrrefp_cm limmig lgdp lgdpau lgdpdfrationew lpopau lpop lxrate1 lremote ldist lopen eng
> lish white lwhitemg, igls panels(hetero)corr(psar1)nolog
Cross-sectional time-series FGLS regression
Coefficients: generalized least squares
Panels: heteroskedastic
Correlation: panel-specific AR(1)
Estimated covariances = 100 Number of obs = 1000
Estimated autocorrelations = 100 Number of groups = 100
Estimated coefficients = 14 Time periods = 10
Wald chi2(13) = 73103.43
Log likelihood = -996.9996 Prob > chi2 = 0.0000
------
lrrefp_cm | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .0503558 .0143764 3.50 0.000 .0221786 .078533
lgdp | 1.654268 .0541339 30.56 0.000 1.548168 1.760369
lgdpau | .8989655 .3710301 2.42 0.015 .1717598 1.626171
lgdpdfrati~w | -.4784125 .1553784 -3.08 0.002 -.7829487 -.1738764
lpopau | -6.476835 1.250808 -5.18 0.000 -8.928373 -4.025297
lpop | -.3834299 .0834522 -4.59 0.000 -.5469932 -.2198666
lxrate1 | -.1218581 .021108 -5.77 0.000 -.1632289 -.0804873
lremote | -.8841065 .1059886 -8.34 0.000 -1.09184 -.6763726
ldist | -3.312944 .1714549 -19.32 0.000 -3.64899 -2.976899
lopen | -.055677 .0278054 -2.00 0.045 -.1101745 -.0011795
english | .6819942 .2006322 3.40 0.001 .2887623 1.075226
white | 4.420878 .7640279 5.79 0.000 2.923411 5.918345
lwhitemg | -.4497768 .0727125 -6.19 0.000 -.5922908 -.3072629
_cons | 96.51417 11.7558 8.21 0.000 73.47321 119.5551
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1 lremote ldist
------+------
limmig | .000207
lgdp | -.000312 .00293
lgdpau | -.001233 .001484 .137663
lgdpdfrati~w | -.000666 .000592 -.013756 .024142
lpopau | .005214 -.008625 -.452817 .028403 1.56452
lpop | .000172 -.003972 -.001283 .00014 .004 .006964
lxrate1 | -.00004 .000369 -.000244 .000501 -.00317 -.000315 .000446
lremote | .000362 .001227 -.006703 -.003981 .019422 -.001117 .000245 .011234
ldist | .000772 -.002851 -.00609 -.000563 .02145 .002432 .000317 .000469 .029397
lopen | .000043 -.000056 -.001074 .001047 .003681 .000236 -.00006 .000691 .000183
english | -.000144 -.003055 .004004 .005485 -.007575 .000032 .000522 -.011625 .014397
white | .001343 -.013737 -.008554 -.004061 .047329 .017985 -.00151 .002266 -.017511
lwhitemg | -.000106 .00073 .000306 .000232 -.003152 -.000827 .00018 .000286 .002898
_cons | -.060629 .11746 4.02283 -.107073 -14.3647 -.065209 .048791 -.255734 -.4665
| lopen english white lwhitemg _cons
------+------
lopen | .000773
english | -.000557 .040253
white | .001628 .013099 .583739
lwhitemg | -.000124 -.000557 -.054058 .005287
_cons | -.043876 .036315 -.381745 .009859 138.199
.
.
. *2.2. Aggregate Differentiated Imports (conservative)
. xtgls lrdiff_cm limmig lgdp lgdpau lgdpdfrationew lpopau lpop lxrate1 lremote ldist lopen eng
> lish white lwhitemg, igls panels(hetero)corr(psar1)nolog
Cross-sectional time-series FGLS regression
Coefficients: generalized least squares
Panels: heteroskedastic
Correlation: panel-specific AR(1)
Estimated covariances = 100 Number of obs = 1000
Estimated autocorrelations = 100 Number of groups = 100
Estimated coefficients = 14 Time periods = 10
Wald chi2(13) = 7613.97
Log likelihood = -949.5333 Prob > chi2 = 0.0000
------
lrdiff_cm | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .0607336 .0184188 3.30 0.001 .0246335 .0968337
lgdp | 1.829145 .0664762 27.52 0.000 1.698854 1.959436
lgdpau | .3908594 .4881745 0.80 0.423 -.5659449 1.347664
lgdpdfrati~w | -.4077582 .1961999 -2.08 0.038 -.792303 -.0232134
lpopau | -4.888755 1.662422 -2.94 0.003 -8.147042 -1.630467
lpop | -.5445248 .078457 -6.94 0.000 -.6982976 -.390752
lxrate1 | -.139935 .0258908 -5.40 0.000 -.19068 -.08919
lremote | -.3570326 .124665 -2.86 0.004 -.6013714 -.1126937
ldist | -5.649221 .4166897 -13.56 0.000 -6.465918 -4.832524
lopen | .0267723 .039683 0.67 0.500 -.0510049 .1045496
english | .3445893 .2353693 1.46 0.143 -.1167261 .8059046
white | 11.93242 1.911336 6.24 0.000 8.18627 15.67857
lwhitemg | -1.061028 .1910507 -5.55 0.000 -1.43548 -.6865752
_cons | 99.66967 15.91079 6.26 0.000 68.48509 130.8543
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1 lremote ldist
------+------
limmig | .000339
lgdp | -.000581 .004419
lgdpau | -.001359 .002329 .238314
lgdpdfrati~w | -.000701 .002156 -.020708 .038494
lpopau | .004348 -.017947 -.783882 .054437 2.76365
lpop | .000381 -.003367 -.000653 -.001534 .003622 .006155
lxrate1 | -9.1e-06 .000515 -.000793 .001132 -.003025 -.000611 .00067
lremote | -.000088 -.000482 -.006136 -.002165 .019057 -.000578 .000047 .015541
ldist | .001899 .007115 -.010601 -.001291 .005236 -.005599 .000479 .002033 .17363
lopen | .000095 -.00049 -.000808 .002065 .002683 .000758 -.00016 .000615 -.000055
english | -.000346 .000481 .003116 .002666 -.01527 -.000039 .001204 -.007704 .052142
white | .000113 -.02477 .001025 -.001044 -.013278 .028893 .004702 .016365 -.222889
lwhitemg | 2.7e-06 .001051 -.000956 -.000455 .007536 -.002098 -.000517 .000221 .019399
_cons | -.04749 .127709 6.89354 -.389931 -25.2305 -.005351 .060371 -.289463 -1.5709
| lopen english white lwhitemg _cons
------+------
lopen | .001575
english | -.001139 .055399
white | .001208 -.040005 3.6532
lwhitemg | -.00001 .004025 -.358134 .0365
_cons | -.029973 -.284403 2.25057 -.2756 253.153
.
. *2.3. Aggregate Homogenous Imports (conservative)
. xtgls lrhomo_cm limmig lgdp lgdpau lgdpdfrationew lpopau lpop lxrate1 lremote ldist lopen eng
> lish white lwhitemg, panels(hetero)corr(psar1)nolog
Cross-sectional time-series FGLS regression
Coefficients: generalized least squares
Panels: heteroskedastic
Correlation: panel-specific AR(1)
Estimated covariances = 100 Number of obs = 1000
Estimated autocorrelations = 100 Number of groups = 100
Estimated coefficients = 14 Time periods = 10
Wald chi2(13) = 2179.84
Log likelihood = -1123.429 Prob > chi2 = 0.0000
------
lrhomo_cm | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .0879251 .0409292 2.15 0.032 .0077055 .1681448
lgdp | .9039687 .0815354 11.09 0.000 .7441623 1.063775
lgdpau | -.5108675 .8583051 -0.60 0.552 -2.193115 1.17138
lgdpdfrati~w | -.3939128 .3519991 -1.12 0.263 -1.083818 .2959928
lpopau | .5051694 2.941786 0.17 0.864 -5.260625 6.270963
lpop | .0615556 .1007482 0.61 0.541 -.1359072 .2590185
lxrate1 | -.1419974 .0338362 -4.20 0.000 -.2083152 -.0756796
lremote | .4946554 .2359215 2.10 0.036 .0322578 .9570531
ldist | -1.559684 .342219 -4.56 0.000 -2.230421 -.8889473
lopen | .3547223 .0813692 4.36 0.000 .1952416 .5142031
english | 1.976356 .2656458 7.44 0.000 1.4557 2.497012
white | 2.261661 2.20147 1.03 0.304 -2.05314 6.576462
lwhitemg | .1245799 .1926392 0.65 0.518 -.2529859 .5021457
_cons | -2.9757 27.98126 -0.11 0.915 -57.81797 51.86657
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1 lremote ldist
------+------
limmig | .001675
lgdp | -.001566 .006648
lgdpau | -.001596 .000784 .736688
lgdpdfrati~w | -.00043 .001791 -.013928 .123903
lpopau | .002529 -.008133 -2.46526 .044769 8.6541
lpop | .000334 -.005862 .000396 -.001312 -.002164 .01015
lxrate1 | .000115 .000955 .000359 .002242 -.007507 -.00119 .001145
lremote | .001334 .000978 -.028723 -.015388 .088351 .000489 -.000697 .055659
ldist | .004133 -.00715 -.019526 -.007301 .064973 .010276 -.000424 .021525 .117114
lopen | .000289 -.001162 .00495 .002436 -.027954 .003032 -.000194 .002007 -.000648
english | -.003753 .000152 .010005 .006875 -.013175 -.001082 .001177 -.016504 .017768
white | .003313 -.024904 .105519 .004372 -.421682 .021906 .000597 .03683 -.030694
lwhitemg | -.000481 .000961 -.010991 -.001806 .045423 -.000327 -.000208 -.000391 .006807
_cons | -.027897 .121405 22.0053 -.322676 -80.1597 -.10152 .115762 -1.41962 -1.89351
| lopen english white lwhitemg _cons
------+------
lopen | .006621
english | -.002048 .070568
white | .00676 .048049 4.84647
lwhitemg | -.000391 -.003412 -.413329 .03711
_cons | .302585 -.065842 4.38124 -.539445 782.951
.
. **III. Liberal Estimates
. *3.1. Aggregate reference priced Imports (liberal)
. xtgls lrrefp_lm limmig lgdp lgdpau lgdpdfrationew lpopau lpop lxrate1 lremote ldist lopen eng
> lish white lwhitemg, igls panels(hetero)corr(psar1)nolog
Cross-sectional time-series FGLS regression
Coefficients: generalized least squares
Panels: heteroskedastic
Correlation: panel-specific AR(1)
Estimated covariances = 100 Number of obs = 1000
Estimated autocorrelations = 100 Number of groups = 100
Estimated coefficients = 14 Time periods = 10
Wald chi2(13) = 55140.82
Log likelihood = -929.0727 Prob > chi2 = 0.0000
------
lrrefp_lm | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .0290984 .0148897 1.95 0.051 -.0000849 .0582817
lgdp | 1.565939 .0554957 28.22 0.000 1.457169 1.674708
lgdpau | .6865113 .409421 1.68 0.094 -.1159391 1.488962
lgdpdfrati~w | -.2065147 .1506087 -1.37 0.170 -.5017023 .0886729
lpopau | -6.793834 1.382418 -4.91 0.000 -9.503323 -4.084345
lpop | -.1218914 .0930347 -1.31 0.190 -.3042362 .0604533
lxrate1 | -.0439545 .0192261 -2.29 0.022 -.0816369 -.006272
lremote | -.6063878 .1548893 -3.91 0.000 -.9099652 -.3028104
ldist | -2.547622 .1786516 -14.26 0.000 -2.897773 -2.197472
lopen | -.0279008 .0312057 -0.89 0.371 -.0890628 .0332613
english | .8199353 .1750029 4.69 0.000 .476936 1.162935
white | 3.86573 .8578658 4.51 0.000 2.184344 5.547117
lwhitemg | -.3078862 .0788379 -3.91 0.000 -.4624057 -.1533667
_cons | 94.9967 12.99053 7.31 0.000 69.53572 120.4577
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1 lremote ldist
------+------
limmig | .000222
lgdp | -.000235 .00308
lgdpau | -.000946 .001979 .167626
lgdpdfrati~w | -.00043 .001084 -.010116 .022683
lpopau | .003294 -.007769 -.554798 .018397 1.91108
lpop | .000155 -.004686 -.001526 -.000526 .003237 .008655
lxrate1 | 8.9e-06 .000236 -.0002 .000551 -.002308 -.00025 .00037
lremote | .000037 -.000906 -.01428 -.004612 .052176 .000026 -.00024 .023991
ldist | .000993 -.00625 -.00487 .001152 .007188 .009767 .000715 -.003143 .031916
lopen | .00002 -.000042 -.001074 .00127 .003425 .000272 -.000052 .001246 .000288
english | -.000441 -.00153 .00285 .003766 -.011699 -.000656 .000944 -.005249 .013446
white | .000704 -.015931 -.017585 -.003325 .032327 .028694 .00227 .019016 .030947
lwhitemg | -.00011 .000638 .000129 -.000185 .002654 -.001569 -.000259 .000811 -.001535
_cons | -.037359 .149086 4.97181 -.047859 -17.5819 -.137168 .035537 -.646247 -.294448
| lopen english white lwhitemg _cons
------+------
lopen | .000974
english | -.000645 .030626
white | .001224 .001277 .735934
lwhitemg | -.000016 .00096 -.064149 .006215
_cons | -.046454 .068453 -.637985 -.028532 168.754
.
. *3.2. Aggregate Differentiated Imports (liberal)
. xtgls lrdiff_lm limmig lgdp lgdpau lgdpdfrationew lpopau lpop lxrate1 lremote ldist lopen eng
> lish white lwhitemg, igls panels(hetero)corr(psar1)nolog
Cross-sectional time-series FGLS regression
Coefficients: generalized least squares
Panels: heteroskedastic
Correlation: panel-specific AR(1)
Estimated covariances = 100 Number of obs = 1000
Estimated autocorrelations = 100 Number of groups = 100
Estimated coefficients = 14 Time periods = 10
Wald chi2(13) = 6730.45
Log likelihood = -983.873 Prob > chi2 = 0.0000
------
lrdiff_lm | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .2577214 .0344216 7.49 0.000 .1902564 .3251865
lgdp | 1.575214 .0768051 20.51 0.000 1.424679 1.725749
lgdpau | .3097617 .6574004 0.47 0.638 -.9787194 1.598243
lgdpdfrati~w | -.0074013 .2699992 -0.03 0.978 -.53659 .5217873
lpopau | -3.086587 2.280919 -1.35 0.176 -7.557106 1.383933
lpop | -.4446837 .0815762 -5.45 0.000 -.6045701 -.2847974
lxrate1 | -.1191671 .0280353 -4.25 0.000 -.1741152 -.064219
lremote | -.2547587 .1227661 -2.08 0.038 -.4953759 -.0141415
ldist | -3.641905 .4021628 -9.06 0.000 -4.430129 -2.85368
lopen | .1561773 .0574804 2.72 0.007 .0435178 .2688368
english | .2337122 .2166614 1.08 0.281 -.1909362 .6583607
white | 11.4359 1.850148 6.18 0.000 7.809674 15.06212
lwhitemg | -1.027687 .1845547 -5.57 0.000 -1.389407 -.665966
_cons | 54.50016 21.65019 2.52 0.012 12.06657 96.93375
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1 lremote ldist
------+------
limmig | .001185
lgdp | -.001831 .005899
lgdpau | -.000735 .000981 .432175
lgdpdfrati~w | -.001547 .0039 -.031762 .0729
lpopau | .001703 -.012014 -1.45151 .112773 5.20259
lpop | .000985 -.00445 .000656 -.002448 -.000045 .006655
lxrate1 | .000095 .000343 -.000876 .001388 -.002874 -.000581 .000786
lremote | -.000108 -.000015 -.002923 .000097 .000908 -.001181 .000215 .015072
ldist | .006408 -.003105 -.007565 -.004915 -.017074 .000985 .001006 .005211 .161735
lopen | .000161 -.000684 .002273 .002151 -.015333 .001498 -.000239 .000476 -.000371
english | -.000784 .000524 -.000626 .002165 .00349 .000303 .001374 -.00765 .031304
white | -.000593 -.022172 .016336 .001218 -.020719 .020911 .005194 .01396 -.215323
lwhitemg | .000147 .001018 -.002096 -.000714 .00548 -.001409 -.000509 .000311 .020756
_cons | -.047962 .145956 12.8483 -1.11223 -47.9602 -.020291 .055561 -.102083 -1.0861
| lopen english white lwhitemg _cons
------+------
lopen | .003304
english | -.001843 .046942
white | .002238 -.023083 3.42305
lwhitemg | -.000145 .002485 -.335632 .03406
_cons | .186813 -.303101 1.98584 -.235423 468.731
.
. *3.3. Aggregate Homogenous Imports (liberal)
. xtgls lrhomo_lm limmig lgdp lgdpau lgdpdfrationew lpopau lpop lxrate1 lremote ldist lopen eng
> lish white lwhitemg, igls panels(hetero)corr(psar1)nolog
Cross-sectional time-series FGLS regression
Coefficients: generalized least squares
Panels: heteroskedastic
Correlation: panel-specific AR(1)
Estimated covariances = 100 Number of obs = 1000
Estimated autocorrelations = 100 Number of groups = 100
Estimated coefficients = 14 Time periods = 10
Wald chi2(13) = 7706.41
Log likelihood = -1128.503 Prob > chi2 = 0.0000
------
lrhomo_lm | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .0459896 .0200779 2.29 0.022 .0066376 .0853416
lgdp | 1.384694 .055291 25.04 0.000 1.276325 1.493062
lgdpau | .1916235 .5969521 0.32 0.748 -.978381 1.361628
lgdpdfrati~w | .0921584 .1951913 0.47 0.637 -.2904095 .4747263
lpopau | -3.371322 2.031605 -1.66 0.097 -7.353194 .6105509
lpop | -.1292 .0823108 -1.57 0.116 -.2905262 .0321262
lxrate1 | -.0861509 .0227072 -3.79 0.000 -.1306562 -.0416456
lremote | -.7705604 .1742373 -4.42 0.000 -1.112059 -.4290616
ldist | -2.817927 .2319826 -12.15 0.000 -3.272605 -2.363249
lopen | .2128694 .0567137 3.75 0.000 .1017126 .3240262
english | 2.77534 .202001 13.74 0.000 2.379425 3.171255
white | 3.756471 1.154796 3.25 0.001 1.493112 6.019829
lwhitemg | -.2144483 .0967553 -2.22 0.027 -.4040851 -.0248114
_cons | 58.20786 19.28814 3.02 0.003 20.4038 96.01193
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1 lremote ldist
------+------
limmig | .000403
lgdp | -.000608 .003057
lgdpau | -.000423 .00024 .356352
lgdpdfrati~w | -.000629 .000591 -.000446 .0381
lpopau | -.000218 .001086 -1.18421 .003428 4.12742
lpop | .000255 -.003333 .000321 .000208 -.006317 .006775
lxrate1 | -.000027 .000281 -.000019 .000797 -.001281 -.000482 .000516
lremote | .000326 .000921 -.013201 -.006057 .044053 -.001519 -.000671 .030359
ldist | .000835 .000445 -.01067 -.004523 .03375 -.00272 -.000204 .021753 .053816
lopen | .000154 -.000609 .000923 .001973 -.005347 .001297 -.000136 .001435 .000336
english | -.00121 .001671 .000624 .00253 .008924 -.003287 .001046 -.00259 .014945
white | .00054 -.013876 -.000136 -.002439 .011854 .021497 -.000713 .00609 .001024
lwhitemg | -.000023 .000681 -.000873 .000067 .001368 -.001171 .000116 .001071 .001851
_cons | .012898 -.051232 10.506 -.003745 -38.0578 .103592 .027729 -.84738 -.952945
| lopen english white lwhitemg _cons
------+------
lopen | .003216
english | -.002173 .040804
white | .001703 .045884 1.33355
lwhitemg | 1.4e-07 -.004415 -.108106 .009362
_cons | .042189 -.279346 -.298834 -.023164 372.032
.
. *IV. Aggregate NON-Manufacturing Imports (Sum of Sitc0,1,2,3,4)
. xtgls lrmnmf limmig lgdp lgdpau lgdpdfrationew lpopau lpop lxrate1 lremote ldist lopen english
> white lwhitemg, igls panels(hetero)corr(psar1)nolog
Cross-sectional time-series FGLS regression
Coefficients: generalized least squares
Panels: heteroskedastic
Correlation: panel-specific AR(1)
Estimated covariances = 100 Number of obs = 1000
Estimated autocorrelations = 100 Number of groups = 100
Estimated coefficients = 14 Time periods = 10
Wald chi2(13) = 766.63
Log likelihood = -601.7148 Prob > chi2 = 0.0000
------
lrmnmf | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .2782829 .0470448 5.92 0.000 .1860767 .3704891
lgdp | .3484455 .0844742 4.12 0.000 .1828792 .5140118
lgdpau | -1.539401 .2845721 -5.41 0.000 -2.097152 -.9816503
lgdpdfrati~w | -.6590694 .1837666 -3.59 0.000 -1.019245 -.2988935
lpopau | 2.800313 .9491381 2.95 0.003 .9400369 4.66059
lpop | .3876545 .0850858 4.56 0.000 .2208895 .5544195
lxrate1 | -.1948115 .0260854 -7.47 0.000 -.2459379 -.1436851
lremote | -.0347442 .0790003 -0.44 0.660 -.1895819 .1200935
ldist | -1.936423 .3715698 -5.21 0.000 -2.664686 -1.208159
lopen | .0257397 .036422 0.71 0.480 -.0456461 .0971255
english | .562971 .2175375 2.59 0.010 .1366054 .9893366
white | 9.718531 .732639 13.27 0.000 8.282585 11.15448
lwhitemg | -.9901427 .0731065 -13.54 0.000 -1.133429 -.8468565
_cons | 4.69162 9.216262 0.51 0.611 -13.37192 22.75516
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1 lremote ldist
------+------
limmig | .002213
lgdp | -.002042 .007136
lgdpau | -.000456 .001146 .080981
lgdpdfrati~w | -.000302 .002298 .011363 .03377
lpopau | .003962 -.012412 -.256321 -.015749 .900863
lpop | .000198 -.004616 -.002967 -.002087 .006948 .00724
lxrate1 | -.000107 .0005 .004321 .00216 -.013561 -.000609 .00068
lremote | .000034 -.00013 -.002877 -.00227 .006234 .000266 -.00016 .006241
ldist | .004594 -.008866 -.000096 -.002016 -.017767 .01434 .000076 .004358 .138064
lopen | -.000316 -.000118 -.00338 .000316 .007589 .000657 -.000313 .00019 -.000201
english | -.002609 .003784 .008329 .005079 -.04157 .00327 .001408 -.000844 .011912
white | .008805 -.015237 .025823 .010098 -.082517 .016041 .003468 .001707 -.013288
lwhitemg | -.000913 .000218 -.002611 -.001519 .009538 -.000444 -.000403 .000328 .003248
_cons | -.068111 .177611 2.14529 -.062049 -7.87681 -.181107 .10579 -.121877 -1.11093
| lopen english white lwhitemg _cons
------+------
lopen | .001327
english | -.000489 .047323
white | -.002929 .047487 .53676
lwhitemg | .000376 -.003112 -.050014 .005345
_cons | -.040329 .207815 .780381 -.110153 84.9395
.
. *V. Aggregate Manufacturing Imports (Sum of Sitc5,6,7,8,9)
. xtgls lrmmfn limmig lgdp lgdpau lgdpdfrationew lpopau lpop lxrate1 lremote ldist lopen english
> white lwhitemg, igls panels(hetero)corr(psar1)nolog
Cross-sectional time-series FGLS regression
Coefficients: generalized least squares
Panels: heteroskedastic
Correlation: panel-specific AR(1)
Estimated covariances = 100 Number of obs = 1000
Estimated autocorrelations = 100 Number of groups = 100
Estimated coefficients = 14 Time periods = 10
Wald chi2(13) = 1307.82
Log likelihood = -599.0886 Prob > chi2 = 0.0000
------
lrmmfn | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .1521133 .0439417 3.46 0.001 .0659891 .2382375
lgdp | .5725042 .07077 8.09 0.000 .4337977 .7112108
lgdpau | -.1018646 .2065764 -0.49 0.622 -.506747 .3030178
lgdpdfrati~w | -.2536179 .1168464 -2.17 0.030 -.4826328 -.0246031
lpopau | 1.206193 .7260482 1.66 0.097 -.2168352 2.629222
lpop | .700427 .1123998 6.23 0.000 .4801274 .9207265
lxrate1 | -.0610847 .0195846 -3.12 0.002 -.0994698 -.0226995
lremote | .1675425 .0786895 2.13 0.033 .0133138 .3217712
ldist | -3.282917 .3801135 -8.64 0.000 -4.027926 -2.537909
lopen | -.0158416 .0613789 -0.26 0.796 -.1361421 .1044589
english | .2926521 .2483817 1.18 0.239 -.1941671 .7794712
white | 21.11291 2.798323 7.54 0.000 15.6283 26.59753
lwhitemg | -2.074875 .2626024 -7.90 0.000 -2.589567 -1.560184
_cons | -6.301142 8.220445 -0.77 0.443 -22.41292 9.810634
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1 lremote ldist
------+------
limmig | .001931
lgdp | -.001637 .005008
lgdpau | -.001619 .000803 .042674
lgdpdfrati~w | .000312 -.001249 .006936 .013653
lpopau | .008342 -.007175 -.139364 -.011226 .527146
lpop | .000034 -.004623 .001278 .000894 -.008313 .012634
lxrate1 | -.000011 .000262 -.000385 -.000236 .002407 -.000509 .000384
lremote | -.000398 .001643 -.00487 -.005285 .006517 -.001548 .00045 .006192
ldist | .006743 .000387 -.007104 -.002223 .024366 -.001299 -.000803 .002335 .144486
lopen | -.000235 -.000567 .000225 -.001653 -.012983 .002594 -.000501 .001144 .000876
english | -.001086 .004179 .00047 -.000113 .000215 .002647 -.000095 .000657 .048621
white | .008905 -.013279 .003286 .004059 -.003737 .029598 -.001703 -.002785 .040483
lwhitemg | -.001163 .001006 -.000433 -.000669 .000391 -.002592 .000164 .000602 -.008789
_cons | -.131809 .045163 1.26794 .069871 -5.13605 .036562 -.025086 -.062942 -1.64174
| lopen english white lwhitemg _cons
------+------
lopen | .003767
english | -.002279 .061693
white | .00533 .039765 7.83061
lwhitemg | -.000386 -.005408 -.723899 .06896
_cons | .171513 -.632734 -.627312 .111051 67.5757
.
.
. **VI. SITC-1 Digit Level Disaggregate Imports
. xtgls lrmsitc0 limmig lgdp lgdpau lgdpdfrationew lpopau lpop lxrate1 lremote ldist lopen engl
> ish white lwhitemg, panels(hetero)corr(psar1)nolog
Cross-sectional time-series FGLS regression
Coefficients: generalized least squares
Panels: heteroskedastic
Correlation: panel-specific AR(1)
Estimated covariances = 100 Number of obs = 1000
Estimated autocorrelations = 100 Number of groups = 100
Estimated coefficients = 14 Time periods = 10
Wald chi2(13) = 603.03
Log likelihood = -573.4547 Prob > chi2 = 0.0000
------
lrmsitc0 | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .5313816 .0482472 11.01 0.000 .4368189 .6259444
lgdp | .0442264 .0771664 0.57 0.567 -.1070169 .1954697
lgdpau | 2.230821 .8175012 2.73 0.006 .628548 3.833094
lgdpdfrati~w | -.621275 .2990225 -2.08 0.038 -1.207348 -.0352016
lpopau | -11.08151 2.80876 -3.95 0.000 -16.58658 -5.576445
lpop | .4193826 .0977196 4.29 0.000 .2278557 .6109095
lxrate1 | -.1030428 .0258212 -3.99 0.000 -.1536514 -.0524341
lremote | .0187372 .2530043 0.07 0.941 -.477142 .5146165
ldist | -1.919746 .346692 -5.54 0.000 -2.59925 -1.240242
lopen | .0406309 .0572481 0.71 0.478 -.0715733 .1528351
english | -.3019285 .237591 -1.27 0.204 -.7675983 .1637414
white | 10.29537 1.123302 9.17 0.000 8.09374 12.497
lwhitemg | -.9410039 .0992871 -9.48 0.000 -1.135603 -.7464047
_cons | 138.6712 26.61908 5.21 0.000 86.49878 190.8437
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1 lremote ldist
------+------
limmig | .002328
lgdp | -.001558 .005955
lgdpau | .000606 -.000778 .668308
lgdpdfrati~w | -.001778 .001934 -.024044 .089414
lpopau | -.005837 -.004099 -2.23131 .098131 7.88913
lpop | -.000389 -.003943 -.000402 -.000472 -.001471 .009549
lxrate1 | .000083 -.000085 .000295 .000886 -.003757 -.000414 .000667
lremote | .001983 .003791 -.019966 -.013103 .050104 -.00275 .000699 .064011
ldist | .005497 .000959 -.009658 -.007888 -.011076 .001434 .000315 .035514 .120195
lopen | -.000287 .000692 .000225 -.00056 -.010788 .000862 -3.7e-06 .001498 .002162
english | -.001347 .00026 .003054 .004248 -.018147 .002229 .001386 -.006061 .024104
white | .010265 -.023374 .019574 -.003882 -.084584 .033709 .006087 .02298 -.012636
lwhitemg | -.000999 .001245 -.002955 -.000384 .013669 -.002237 -.000465 .000351 .001872
_cons | .038561 -.017766 19.788 -.930287 -72.6263 -.013847 .050109 -1.24324 -1.08884
| lopen english white lwhitemg _cons
------+------
lopen | .003277
english | -.000321 .056449
white | -.00038 .048983 1.26181
lwhitemg | .000015 -.003592 -.107633 .009858
_cons | .114791 -.014994 .672777 -.150934 708.576
. xtgls lrmsitc1 limmig lgdp lgdpau lgdpdfrationew lpopau lpop lxrate1 lremote ldist lopen engl
> ish white lwhitemg, panels(hetero)corr(psar1)nolog
Cross-sectional time-series FGLS regression
Coefficients: generalized least squares
Panels: heteroskedastic
Correlation: panel-specific AR(1)
Estimated covariances = 100 Number of obs = 1000
Estimated autocorrelations = 100 Number of groups = 100
Estimated coefficients = 14 Time periods = 10
Wald chi2(13) = 1262.03
Log likelihood = -379.3976 Prob > chi2 = 0.0000
------
lrmsitc1 | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .0442939 .0197353 2.24 0.025 .0056135 .0829743
lgdp | .2636454 .0554027 4.76 0.000 .1550582 .3722326
lgdpau | -.1882073 .3162887 -0.60 0.552 -.8081217 .4317072
lgdpdfrati~w | -.456516 .2074904 -2.20 0.028 -.8631898 -.0498423
lpopau | 1.979895 1.135494 1.74 0.081 -.2456322 4.205423
lpop | .1502518 .0691021 2.17 0.030 .0148142 .2856893
lxrate1 | -.0704045 .0180774 -3.89 0.000 -.1058356 -.0349735
lremote | -.1857683 .1134113 -1.64 0.101 -.4080503 .0365137
ldist | -1.812968 .2818563 -6.43 0.000 -2.365396 -1.26054
lopen | -.0137298 .0245748 -0.56 0.576 -.0618954 .0344359
english | 1.617755 .2188233 7.39 0.000 1.188869 2.046641
white | 10.20503 1.830342 5.58 0.000 6.617622 13.79243
lwhitemg | -.7858941 .1893676 -4.15 0.000 -1.157048 -.4147404
_cons | -15.94695 11.73224 -1.36 0.174 -38.94172 7.047817
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1 lremote ldist
------+------
limmig | .000389
lgdp | -.000412 .003069
lgdpau | .000326 -.001362 .100039
lgdpdfrati~w | -.00055 -.000304 -.001177 .043052
lpopau | -.000962 .003096 -.341385 .024739 1.28935
lpop | .000074 -.00232 .000381 .001125 -.008108 .004775
lxrate1 | -.000014 .000146 .001259 .000645 -.006126 -.00013 .000327
lremote | .000285 .000578 -.007415 -.00316 .027751 -.000421 -.000407 .012862
ldist | .001577 .000508 -.002784 -.002008 -.00293 .003179 -.000146 .005851 .079443
lopen | .000027 -.000265 -4.3e-06 .001003 -.001129 .000277 -4.2e-06 -.000093 -.000386
english | -.000125 -.002162 .0029 .003067 -.01669 .00501 .00042 -.002026 .030886
white | .00136 -.020519 .010596 .002927 -.066038 .02254 .00107 .010574 -.043625
lwhitemg | -.00014 .001161 -.000998 .00003 .006181 -.00162 -.000087 -.000362 .003447
_cons | -.003427 -.055293 3.14926 -.390724 -12.5925 .073977 .070586 -.436421 -.756681
| lopen english white lwhitemg _cons
------+------
lopen | .000604
english | -.000459 .047884
white | .001072 .053781 3.35015
lwhitemg | -.000029 -.004882 -.342392 .03586
_cons | .024213 -.117125 1.22171 -.105089 137.645
. xtgls lrmsitc2 limmig lgdp lgdpau lgdpdfrationew lpopau lpop lxrate1 lremote ldist lopen engl
> ish white lwhitemg, panels(hetero)corr(psar1)nolog
Cross-sectional time-series FGLS regression
Coefficients: generalized least squares
Panels: heteroskedastic
Correlation: panel-specific AR(1)
Estimated covariances = 100 Number of obs = 1000
Estimated autocorrelations = 100 Number of groups = 100
Estimated coefficients = 14 Time periods = 10
Wald chi2(13) = 1175.37
Log likelihood = -864.1482 Prob > chi2 = 0.0000
------
lrmsitc2 | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .2030209 .0657866 3.09 0.002 .0740815 .3319603
lgdp | .429851 .1075834 4.00 0.000 .2189914 .6407107
lgdpau | -2.399973 1.17632 -2.04 0.041 -4.705517 -.0944284
lgdpdfrati~w | -1.183048 .452674 -2.61 0.009 -2.070273 -.2958233
lpopau | 4.709193 4.03973 1.17 0.244 -3.208533 12.62692
lpop | .2896468 .1199208 2.42 0.016 .0546062 .5246873
lxrate1 | -.1434239 .039736 -3.61 0.000 -.221305 -.0655428
lremote | 1.951899 .2750685 7.10 0.000 1.412775 2.491024
ldist | -1.513608 .543362 -2.79 0.005 -2.578578 -.4486383
lopen | -.0339915 .077935 -0.44 0.663 -.1867413 .1187583
english | .0359636 .256451 0.14 0.888 -.4666711 .5385983
white | 11.39103 1.479293 7.70 0.000 8.491665 14.29039
lwhitemg | -.8490962 .1445122 -5.88 0.000 -1.132335 -.5658575
_cons | -28.41971 37.94079 -0.75 0.454 -102.7823 45.94287
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1 lremote ldist
------+------
limmig | .004328
lgdp | -.004434 .011574
lgdpau | -.001009 .003236 1.38373
lgdpdfrati~w | -.001823 .003971 -.012889 .204914
lpopau | -.000841 -.019692 -4.63554 .095413 16.3194
lpop | .001384 -.009387 -.00025 -.0022 .004839 .014381
lxrate1 | .000053 .001683 .000849 .001657 -.010581 -.001693 .001579
lremote | .001492 -.000499 -.026744 -.017514 .063368 .000334 .000602 .075663
ldist | .013209 -.010627 -.008006 -.012399 -.029342 .018551 -.002239 .02994 .295242
lopen | .000365 -.000854 .009034 .001509 -.041725 .002052 -.000326 .003024 .004005
english | -.005778 .008633 .005386 .001266 -.024633 -.004168 -.000051 -.001851 .031673
white | .025735 -.049137 -.013356 -.028963 -.033768 .047642 .003213 .098099 .159155
lwhitemg | -.002995 .003229 -.001966 .000704 .018853 -.002799 -.000659 -.003468 -.019902
_cons | -.040577 .248099 40.8612 -1.23362 -149.199 -.266478 .151314 -1.28671 -2.48434
| lopen english white lwhitemg _cons
------+------
lopen | .006074
english | -.000643 .065767
white | .003366 .048401 2.18831
lwhitemg | -.000183 -.005868 -.204341 .020884
_cons | .380575 -.132149 -1.25552 -.051443 1439.5
. xtgls lrmsitc3 limmig lgdp lgdpau lgdpdfrationew lpopau lpop lxrate1 lremote ldist lopen engl
> ish white lwhitemg, panels(hetero)corr(psar1)nolog
Cross-sectional time-series FGLS regression
Coefficients: generalized least squares
Panels: heteroskedastic
Correlation: panel-specific AR(1)
Estimated covariances = 100 Number of obs = 1000
Estimated autocorrelations = 100 Number of groups = 100
Estimated coefficients = 14 Time periods = 10
Wald chi2(13) = 627.13
Log likelihood = -70.24635 Prob > chi2 = 0.0000
------
lrmsitc3 | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .0613213 .0281333 2.18 0.029 .006181 .1164617
lgdp | .1575364 .0568312 2.77 0.006 .0461492 .2689235
lgdpau | .3823105 .371009 1.03 0.303 -.3448537 1.109475
lgdpdfrati~w | .2769461 .1694851 1.63 0.102 -.0552387 .6091309
lpopau | 2.143528 1.308983 1.64 0.102 -.4220315 4.709087
lpop | .3588594 .0647554 5.54 0.000 .2319411 .4857777
lxrate1 | -.0155088 .0142479 -1.09 0.276 -.0434341 .0124166
lremote | -.0480018 .1205948 -0.40 0.691 -.2843633 .1883598
ldist | -2.240383 .4112626 -5.45 0.000 -3.046443 -1.434323
lopen | .0229436 .031038 0.74 0.460 -.0378896 .0837769
english | .7690139 .1679548 4.58 0.000 .4398284 1.098199
white | 15.77299 1.158184 13.62 0.000 13.503 18.04299
lwhitemg | -1.333659 .1080553 -12.34 0.000 -1.545443 -1.121874
_cons | -33.14481 13.62635 -2.43 0.015 -59.85196 -6.437661
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1 lremote ldist
------+------
limmig | .000791
lgdp | -.000627 .00323
lgdpau | -.000606 .000135 .137648
lgdpdfrati~w | -.000659 .000865 .000421 .028725
lpopau | .002825 -.001769 -.462998 .012925 1.71344
lpop | .00006 -.00198 .000205 -.000106 .001819 .004193
lxrate1 | .000053 .000072 .000226 .000432 -.002152 -.000133 .000203
lremote | .000746 .001488 -.007749 -.00335 .022795 -.000958 .000016 .014543
ldist | .003249 -.004418 -.010416 -.009939 .010925 .005428 .000045 .015088 .169137
lopen | -.000072 .000081 .000642 .00016 -.004211 .000181 -.000044 .000062 -.00041
english | -.000803 -.000914 .003086 .002751 -.011631 .004799 .0002 -.004124 .003005
white | .003717 -.015037 .023793 -.005487 -.193745 .018374 .002328 -.00261 .001995
lwhitemg | -.000461 .000821 -.002581 .000435 .019666 -.001446 -.000264 .000491 .000063
_cons | -.059062 .016437 4.2318 -.147856 -16.5912 -.10084 .02838 -.46305 -1.65266
| lopen english white lwhitemg _cons
------+------
lopen | .000963
english | -.000178 .028209
white | -.001832 .054124 1.34139
lwhitemg | .000203 -.004931 -.122216 .011676
_cons | .052704 .057677 2.60443 -.255234 185.677
. xtgls lrmsitc4 limmig lgdp lgdpau lgdpdfrationew lpopau lpop lxrate1 lremote ldist lopen engl
> ish white lwhitemg, panels(hetero)corr(psar1)nolog
Cross-sectional time-series FGLS regression
Coefficients: generalized least squares
Panels: heteroskedastic
Correlation: panel-specific AR(1)
Estimated covariances = 100 Number of obs = 1000
Estimated autocorrelations = 100 Number of groups = 100
Estimated coefficients = 14 Time periods = 10
Wald chi2(13) = 263.67
Log likelihood = 126.1987 Prob > chi2 = 0.0000
------
lrmsitc4 | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .0083682 .0203132 0.41 0.680 -.0314448 .0481813
lgdp | .3230679 .0475997 6.79 0.000 .2297742 .4163617
lgdpau | -.3103811 .3504356 -0.89 0.376 -.9972222 .37646
lgdpdfrati~w | -.1668747 .1571998 -1.06 0.288 -.4749807 .1412313
lpopau | 3.664921 1.262054 2.90 0.004 1.191342 6.138501
lpop | -.0557833 .0515765 -1.08 0.279 -.1568714 .0453049
lxrate1 | -.0892432 .0153046 -5.83 0.000 -.1192396 -.0592468
lremote | .3696201 .1254271 2.95 0.003 .1237875 .6154527
ldist | -1.318089 .2505671 -5.26 0.000 -1.809191 -.8269861
lopen | .0182761 .0298682 0.61 0.541 -.0402645 .0768166
english | .1665583 .1312119 1.27 0.204 -.0906124 .423729
white | 9.473138 2.140617 4.43 0.000 5.277607 13.66867
lwhitemg | -.7996378 .2065693 -3.87 0.000 -1.204506 -.3947695
_cons | -48.86262 13.05321 -3.74 0.000 -74.44644 -23.2788
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1 lremote ldist
------+------
limmig | .000413
lgdp | -.000423 .002266
lgdpau | .000148 -.000567 .122805
lgdpdfrati~w | -.000496 .000696 -.004677 .024712
lpopau | -.001567 .006464 -.421867 .022792 1.59278
lpop | .000019 -.001575 .000134 -.000312 -.003248 .00266
lxrate1 | -.000024 .000064 .000627 .000559 -.004695 -.000162 .000234
lremote | .000321 .001214 -.008032 -.001744 .031973 -.001339 -.0002 .015732
ldist | .00169 -.002029 -.001263 -.002924 -.004211 .002668 -.000219 .004422 .062784
lopen | .000015 -.000158 .000271 .000095 -.001937 .000357 -.000019 -.000052 .000054
english | -.000948 -.000052 .000182 .001263 .006301 .00315 .000184 -.00121 .003478
white | .001846 -.013095 .016559 -.003624 -.137127 .013641 .001098 -.000889 .012303
lwhitemg | -.000235 .000819 -.002117 .000367 .014214 -.001139 -.000082 .000902 -.001968
_cons | .011338 -.108159 3.87157 -.249532 -15.6952 .030506 .065013 -.504295 -.537175
| lopen english white lwhitemg _cons
------+------
lopen | .000892
english | .000193 .017217
white | .000314 .024374 4.58224
lwhitemg | 7.5e-06 -.002248 -.435043 .042671
_cons | .023293 -.182089 1.79414 -.168626 170.386
. xtgls lrmsitc5 limmig lgdp lgdpau lgdpdfrationew lpopau lpop lxrate1 lremote ldist lopen engl
> ish white lwhitemg, panels(hetero)corr(psar1)nolog
Cross-sectional time-series FGLS regression
Coefficients: generalized least squares
Panels: heteroskedastic
Correlation: panel-specific AR(1)
Estimated covariances = 100 Number of obs = 1000
Estimated autocorrelations = 100 Number of groups = 100
Estimated coefficients = 14 Time periods = 10
Wald chi2(13) = 611.63
Log likelihood = -669.2198 Prob > chi2 = 0.0000
------
lrmsitc5 | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .201475 .0533855 3.77 0.000 .0968414 .3061087
lgdp | .9136956 .1050236 8.70 0.000 .7078532 1.119538
lgdpau | -.8128256 .6819322 -1.19 0.233 -2.149388 .5237368
lgdpdfrati~w | -.3976428 .2932422 -1.36 0.175 -.9723869 .1771013
lpopau | 3.322156 2.360139 1.41 0.159 -1.303632 7.947944
lpop | -.2894129 .1469235 -1.97 0.049 -.5773778 -.0014481
lxrate1 | -.1377717 .0302277 -4.56 0.000 -.197017 -.0785264
lremote | .2276186 .2325235 0.98 0.328 -.2281191 .6833563
ldist | -2.765449 .673 -4.11 0.000 -4.084505 -1.446394
lopen | .0010501 .0820323 0.01 0.990 -.1597303 .1618306
english | -.5464007 .392326 -1.39 0.164 -1.315345 .2225441
white | 19.9831 3.98201 5.02 0.000 12.17851 27.7877
lwhitemg | -1.881087 .3620718 -5.20 0.000 -2.590734 -1.171439
_cons | -22.70111 23.15938 -0.98 0.327 -68.09267 22.69044
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1 lremote ldist
------+------
limmig | .00285
lgdp | -.002737 .01103
lgdpau | .000649 .000297 .465031
lgdpdfrati~w | -.002041 .004562 -.010214 .085991
lpopau | -.003515 -.010364 -1.55244 .059506 5.57026
lpop | 7.0e-06 -.00817 -.001924 -.001614 -.005002 .021587
lxrate1 | .000167 .000618 .002165 .001369 -.01125 -.000816 .000914
lremote | .000714 .002904 -.019601 -.011299 .039396 -.002496 .000412 .054067
ldist | .012245 .005962 -.008286 -.003897 -.050716 .009438 .001052 .031006 .452929
lopen | .000208 -.000759 -.000518 .002491 -.017996 .002661 -.000061 .000947 .003408
english | -.005492 .002103 .001536 .005074 -.023516 .017705 .000343 -.002596 .098529
white | .009558 -.043767 .094346 .018248 -.216054 .085743 .002692 .022512 .237562
lwhitemg | -.001421 .00228 -.010248 -.002739 .029599 -.006695 -.000424 .000609 -.035403
_cons | -.031848 -.028806 13.8262 -.743266 -51.265 -.091131 .109569 -.928525 -3.89029
| lopen english white lwhitemg _cons
------+------
lopen | .006729
english | -.00074 .15392
white | .009209 .246402 15.8564
lwhitemg | -.000671 -.027297 -1.41529 .131096
_cons | .248497 -.901871 -1.87847 .182 536.357
. xtgls lrmsitc6 limmig lgdp lgdpau lgdpdfrationew lpopau lpop lxrate1 lremote ldist lopen engl
> ish white lwhitemg, panels(hetero)corr(psar1)nolog
Cross-sectional time-series FGLS regression
Coefficients: generalized least squares
Panels: heteroskedastic
Correlation: panel-specific AR(1)
Estimated covariances = 100 Number of obs = 1000
Estimated autocorrelations = 100 Number of groups = 100
Estimated coefficients = 14 Time periods = 10
Wald chi2(13) = 1133.90
Log likelihood = -574.8907 Prob > chi2 = 0.0000
------
lrmsitc6 | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .277223 .0486389 5.70 0.000 .1818925 .3725534
lgdp | .6131467 .0881351 6.96 0.000 .440405 .7858884
lgdpau | .7205159 .6159851 1.17 0.242 -.4867927 1.927825
lgdpdfrati~w | -.2693809 .2609919 -1.03 0.302 -.7809157 .2421539
lpopau | -3.791307 2.126971 -1.78 0.075 -7.960093 .3774791
lpop | .4625147 .1074485 4.30 0.000 .2519194 .6731099
lxrate1 | -.0754287 .027084 -2.78 0.005 -.1285123 -.0223451
lremote | -.0537673 .2132107 -0.25 0.801 -.4716525 .3641179
ldist | -2.373488 .4455212 -5.33 0.000 -3.246694 -1.500283
lopen | -.1960728 .0789587 -2.48 0.013 -.350829 -.0413165
english | .4789186 .3112974 1.54 0.124 -.1312132 1.08905
white | 16.60332 3.675681 4.52 0.000 9.399116 23.80752
lwhitemg | -1.705966 .3190832 -5.35 0.000 -2.331357 -1.080574
_cons | 48.7058 20.40992 2.39 0.017 8.7031 88.70851
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1 lremote ldist
------+------
limmig | .002366
lgdp | -.002072 .007768
lgdpau | -.001937 .003636 .379438
lgdpdfrati~w | -.001197 .001624 -.009608 .068117
lpopau | .006371 -.025922 -1.26779 .033733 4.524
lpop | .000355 -.004973 -.001946 -.001001 .007237 .011545
lxrate1 | .00004 .000533 .000619 .001078 -.005847 -.000694 .000734
lremote | .00044 .00331 -.013388 -.015572 .027885 -.002284 .000542 .045459
ldist | .009335 -.000198 -.007135 -.000699 -.010999 .010164 .000755 .008962 .198489
lopen | .000352 -.000714 -.000126 .002036 -.011541 .002266 -.000084 .001201 .002737
english | -.003074 -.000176 .003086 .003089 -.009657 .00511 .000892 -.005111 .056141
white | .011722 -.028 .069613 .008483 -.170695 .039925 .002594 -.004115 .090666
lwhitemg | -.001418 .001253 -.007139 -.001805 .022293 -.003447 -.000217 .002565 -.014332
_cons | -.117244 .218416 11.2271 -.24982 -41.5278 -.213981 .063938 -.620881 -1.80855
| lopen english white lwhitemg _cons
------+------
lopen | .006234
english | -.003505 .096906
white | .010165 .054967 13.5106
lwhitemg | -.000892 -.003806 -1.15581 .101814
_cons | .139229 -.500886 .073868 -.03154 416.565
. xtgls lrmsitc7 limmig lgdp lgdpau lgdpdfrationew lpopau lpop lxrate1 lremote ldist lopen engl
> ish white lwhitemg, panels(hetero)corr(psar1)nolog
Cross-sectional time-series FGLS regression
Coefficients: generalized least squares
Panels: heteroskedastic
Correlation: panel-specific AR(1)
Estimated covariances = 100 Number of obs = 1000
Estimated autocorrelations = 100 Number of groups = 100
Estimated coefficients = 14 Time periods = 10
Wald chi2(13) = 1188.22
Log likelihood = -741.3302 Prob > chi2 = 0.0000
------
lrmsitc7 | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .0710155 .0371471 1.91 0.056 -.0017916 .1438225
lgdp | 1.11252 .0995218 11.18 0.000 .9174613 1.307579
lgdpau | .8895217 .727006 1.22 0.221 -.5353839 2.314427
lgdpdfrati~w | -.1915835 .2972779 -0.64 0.519 -.7742374 .3910704
lpopau | 2.375674 2.529522 0.94 0.348 -2.582099 7.333447
lpop | -.3305455 .1351871 -2.45 0.014 -.5955074 -.0655836
lxrate1 | -.1390397 .0247961 -5.61 0.000 -.1876391 -.0904403
lremote | -.3868873 .1962215 -1.97 0.049 -.7714744 -.0023003
ldist | -1.612159 .7333755 -2.20 0.028 -3.049549 -.1747693
lopen | -.0605367 .0775122 -0.78 0.435 -.2124578 .0913845
english | .039514 .3116994 0.13 0.899 -.5714056 .6504337
white | 27.47265 2.526034 10.88 0.000 22.52172 32.42359
lwhitemg | -2.600578 .2358298 -11.03 0.000 -3.062796 -2.138361
_cons | -61.35565 25.11454 -2.44 0.015 -110.5792 -12.13206
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1 lremote ldist
------+------
limmig | .00138
lgdp | -.002359 .009905
lgdpau | -.0007 .001171 .528538
lgdpdfrati~w | -.00247 .004153 -.015727 .088374
lpopau | -.002914 -.011241 -1.76486 .062924 6.39848
lpop | .001246 -.00871 -.00309 -.001361 .015625 .018276
lxrate1 | .000012 .000379 .00106 .001082 -.010398 -.000749 .000615
lremote | .00174 .003559 -.018764 -.007069 .024005 -.003389 .000086 .038503
ldist | .007828 .007866 -.027156 -.007261 -.051172 .012058 .001476 .065738 .53784
lopen | .000243 -.000662 -.001498 .004945 -.008164 .001683 -.000257 .0013 .001653
english | -.001994 .002482 .004933 .006493 -.026511 .007923 .001253 -.004108 .058452
white | .013479 -.048091 .034459 -.016824 -.279027 .067623 .004473 .01954 .116834
lwhitemg | -.001136 .003069 -.004273 .001053 .033371 -.005842 -.000445 -.000975 -.018879
_cons | .006354 -.030539 15.8693 -.653108 -59.591 -.357436 .129147 -.897082 -4.56708
| lopen english white lwhitemg _cons
------+------
lopen | .006008
english | -.00071 .097157
white | .001669 .187962 6.38085
lwhitemg | .000094 -.020995 -.585021 .055616
_cons | .135053 -.40648 2.3673 -.221776 630.74
. xtgls lrmsitc8 limmig lgdp lgdpau lgdpdfrationew lpopau lpop lxrate1 lremote ldist lopen engl
> ish white lwhitemg, panels(hetero)corr(psar1)nolog
Cross-sectional time-series FGLS regression
Coefficients: generalized least squares
Panels: heteroskedastic
Correlation: panel-specific AR(1)
Estimated covariances = 100 Number of obs = 1000
Estimated autocorrelations = 100 Number of groups = 100
Estimated coefficients = 14 Time periods = 10
Wald chi2(13) = 823.63
Log likelihood = -586.0129 Prob > chi2 = 0.0000
------
lrmsitc8 | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .4644003 .0562226 8.26 0.000 .354206 .5745946
lgdp | .1930865 .0952209 2.03 0.043 .006457 .379716
lgdpau | 1.16026 .7820576 1.48 0.138 -.3725451 2.693064
lgdpdfrati~w | -.7385143 .3247411 -2.27 0.023 -1.374995 -.1020335
lpopau | -5.394659 2.708371 -1.99 0.046 -10.70297 -.0863489
lpop | .3954644 .1006099 3.93 0.000 .1982725 .5926563
lxrate1 | -.0598891 .033955 -1.76 0.078 -.1264396 .0066614
lremote | .0820922 .2354766 0.35 0.727 -.3794335 .5436179
ldist | -2.515389 .5482746 -4.59 0.000 -3.589987 -1.44079
lopen | .0634808 .0761211 0.83 0.404 -.0857138 .2126754
english | -.9052916 .2484246 -3.64 0.000 -1.392195 -.4183882
white | 19.26324 1.719449 11.20 0.000 15.89318 22.6333
lwhitemg | -1.752466 .1636699 -10.71 0.000 -2.073253 -1.431679
_cons | 74.2668 25.32317 2.93 0.003 24.6343 123.8993
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1 lremote ldist
------+------
limmig | .003161
lgdp | -.002829 .009067
lgdpau | -.002367 .006724 .611614
lgdpdfrati~w | -.002082 .005241 -.017623 .105457
lpopau | .004723 -.036551 -2.05187 .075749 7.33527
lpop | .000776 -.005712 -.003921 -.003537 .010189 .010122
lxrate1 | .000468 .000351 -.000393 .000644 -.004524 -.000535 .001153
lremote | -.000385 .004315 -.003636 -.016713 -.021847 .000093 .001555 .055449
ldist | .007505 .010463 .004894 -.001718 -.122525 -.002267 .001475 .033114 .300605
lopen | -.000383 .000835 .002689 .000378 -.026238 .001837 -.000126 .002841 .003882
english | -.006299 .011661 .009531 .006824 -.043846 -.004117 -.001197 .006392 .069346
white | .011311 -.021231 .001659 -.055578 .072601 .000892 .001091 .114534 .098004
lwhitemg | -.001471 .000369 -.001855 .002598 .005178 .001129 -.00047 -.007801 -.0201
_cons | -.050619 .188399 17.9212 -.789084 -65.9779 -.076331 .052808 -.43217 -1.49672
| lopen english white lwhitemg _cons
------+------
lopen | .005794
english | -.000515 .061715
white | -.010592 .071853 2.95651
lwhitemg | .00102 -.009521 -.273045 .026788
_cons | .262166 -.416632 -2.80109 .208967 641.263
. xtgls lrmsitc9 limmig lgdp lgdpau lgdpdfrationew lpopau lpop lxrate1 lremote ldist lopen engl
> ish white lwhitemg, panels(hetero)corr(psar1)nolog
Cross-sectional time-series FGLS regression
Coefficients: generalized least squares
Panels: heteroskedastic
Correlation: panel-specific AR(1)
Estimated covariances = 100 Number of obs = 1000
Estimated autocorrelations = 100 Number of groups = 100
Estimated coefficients = 14 Time periods = 10
Wald chi2(13) = 1320.00
Log likelihood = -286.4951 Prob > chi2 = 0.0000
------
lrmsitc9 | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .0029297 .0218312 0.13 0.893 -.0398587 .0457181
lgdp | .4777447 .0803874 5.94 0.000 .3201884 .6353011
lgdpau | -.2376003 .5407311 -0.44 0.660 -1.297414 .8222132
lgdpdfrati~w | .01626 .2343039 0.07 0.945 -.4429673 .4754873
lpopau | 1.069948 1.870341 0.57 0.567 -2.595853 4.735749
lpop | -.1991495 .111252 -1.79 0.073 -.4171994 .0189003
lxrate1 | -.0349318 .0233043 -1.50 0.134 -.0806074 .0107438
lremote | -.0638663 .1780405 -0.36 0.720 -.4128192 .2850865
ldist | -3.373363 .4755599 -7.09 0.000 -4.305443 -2.441283
lopen | -.0271763 .0523804 -0.52 0.604 -.1298401 .0754874
english | .3134706 .1864962 1.68 0.093 -.0520552 .6789964
white | 16.24453 2.68662 6.05 0.000 10.97885 21.5102
lwhitemg | -1.200491 .2884104 -4.16 0.000 -1.765765 -.6352164
_cons | 14.8439 18.55363 0.80 0.424 -21.52054 51.20834
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1 lremote ldist
------+------
limmig | .000477
lgdp | -.00063 .006462
lgdpau | -.000084 -.000929 .29239
lgdpdfrati~w | -.000799 .001585 -.010247 .054898
lpopau | -.000563 -.001118 -.978527 .051022 3.49818
lpop | .0002 -.005428 -.000532 -.000772 -.005191 .012377
lxrate1 | -.00003 .000236 .001089 .001256 -.006569 -.000551 .000543
lremote | .000159 .002087 -.018854 -.005868 .055811 -.002362 -.000214 .031698
ldist | .001825 .007356 -.014043 -.002632 .004072 .008783 -.000778 .01641 .226157
lopen | .000079 -.000552 -.00121 .001643 -.000048 .001131 .000027 -.000081 .001227
english | -.0013 .003571 -.001314 .000902 -.005343 .001143 .000059 .00107 .015372
white | .003199 -.031719 .04335 -.006525 -.351704 .057579 .002137 .000979 .04192
lwhitemg | -.000337 .000983 -.005997 .000047 .04231 -.004406 -.000057 .002777 -.00897
_cons | .002607 -.102248 8.89626 -.582333 -32.8186 -.035758 .08958 -.870217 -2.31902
| lopen english white lwhitemg _cons
------+------
lopen | .002744
english | .001352 .034781
white | .001831 .031616 7.21793
lwhitemg | .000026 -.003707 -.76411 .083181
_cons | .015067 -.131889 4.06138 -.434673 344.237
.
. clear
. insheet using k:\book1.txt
(104 vars, 1010 obs)
.
. *Dropping Denmark
. drop if ccode==161800
(10 observations deleted)
..
.
. *Descriptive stats after dropping
. tabstat rimp immig gdp gdpau gdpdefnew gdpdfau pop popau xrate1 remote dist open english gdpdfration
> ew white whitemg, stat(n mean sd median min max) col(stat)
variable | N mean sd p50 min max
------+------
rimp | 1000 488670.2 1561767 7348 0 1.39e+07
immig | 1000 33369.03 117061.4 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 105.5934 16.9139 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 1043.069 10901.71 16.2185 .0068 270182.6
remote | 1000 6710.348 4136.897 6764 1293 39620
dist | 1000 13343.46 3522.71 14215 2409 17972
open | 1000 .7084016 .3899138 .63295 .0671 3.2192
english | 1000 .37 .4830459 0 0 1
gdpdfratio~w | 1000 1.051442 .1811365 1.013736 .5844526 2.009028
white | 1000 .12 .3251241 0 0 1
whitemg | 1000 20408.57 116480.7 0 0 1137050
------
.
. sort white
. *IIIB. Descriptives Original Unites(sub sample for "white" and "non-white" countries)--RHS Variables
> :
. by white: tabstat rimp immig gdp gdpau gdpdefnew gdpdfau pop popau xrate1 remote dist phone open eng
> lish gdpdfrationew white whitemg, stat(n mean sd median min max) col(stat)
------
-> white = 0
variable | N mean sd p50 min max
------+------
rimp | 880 400345.4 1589043 3126 0 1.39e+07
immig | 880 14727.79 27016.52 1505 0 158613
gdp | 880 2.35e+11 9.96e+11 1.05e+10 1.92e+08 8.99e+12
gdpau | 880 3.83e+11 4.44e+10 3.80e+11 3.19e+11 4.52e+11
gdpdefnew | 880 104.8121 17.21914 101.7094 60.87417 207.3465
gdpdfau | 880 100.7173 4.633806 100.8223 94.42464 109.9797
pop | 880 5.29e+07 1.64e+08 1.05e+07 41000 1.26e+09
popau | 880 1.82e+07 612835.6 1.82e+07 1.73e+07 1.92e+07
xrate1 | 880 1169.546 11615.77 21.6609 .0068 270182.6
remote | 880 7159.151 4093.339 6938.5 1293 39620
dist | 880 13201.9 3402.569 14045.5 2410 17972
phone | 880 157.5574 241.028 49.13 .54 1449.75
open | 880 .7155966 .4091255 .63385 .0671 3.2192
english | 880 .3863636 .4871925 0 0 1
gdpdfratio~w | 880 1.043893 .185446 1 .5844526 2.009028
white | 880 0 0 0 0 0
whitemg | 880 0 0 0 0 0
------
------
-> white = 1
variable | N mean sd p50 min max
------+------
rimp | 120 1136385 1159327 557964.5 40432 3843839
immig | 120 170071.4 297041.3 54564 2612 1137050
gdp | 120 5.87e+11 6.75e+11 2.91e+11 5.15e+10 2.69e+12