1
CongoDem Rep to Panama
------
log: K:\CongoDEMPRep_to Panama.log
opened on: 25 Jul 2006, 22:07:14
After Congo dem, 1-20
After Egypt, 21-40
After Mexico, 41-61After Panama, 6281
. insheet using k:\book1.txt
(104 vars, 1010 obs)
.
. *Dropping Congo, Dem Rep
. drop if ccode==331700
(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 491195.4 1561183 8397.5 0 1.39e+07
immig | 1000 33459.12 117039.4 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 105.7582 16.76147 103.0148 60.87417 207.3465
gdpdfau | 1000 100.7173 4.633489 100.8223 94.42464 109.9797
pop | 1000 4.92e+07 1.54e+08 1.02e+07 41000 1.26e+09
popau | 1000 1.82e+07 612793.8 1.82e+07 1.73e+07 1.92e+07
xrate1 | 1000 1043.109 10901.71 16.2185 .0078 270182.6
remote | 1000 6731.194 4145.314 6766 1293 39620
dist | 1000 13369 3532.478 14305 2409 17972
open | 1000 .7086613 .3890933 .63645 .0671 3.2192
english | 1000 .37 .4830459 0 0 1
gdpdfratio~w | 1000 1.053127 .1799948 1.019483 .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 404944.4 1597577 3443.5 0 1.39e+07
immig | 870 14893.63 27126.9 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 | 870 104.8945 17.10376 101.7941 60.87417 207.3465
gdpdfau | 870 100.7173 4.633836 100.8223 94.42464 109.9797
pop | 870 5.30e+07 1.65e+08 1.03e+07 41000 1.26e+09
popau | 870 1.82e+07 612839.6 1.82e+07 1.73e+07 1.92e+07
xrate1 | 870 1182.983 11681.74 22.9426 .0078 270182.6
remote | 870 7156.347 4116.416 6933 1293 39620
dist | 870 13199.31 3422.005 14051 2410 17972
phone | 870 159.3597 241.8198 49.865 .7 1449.75
open | 870 .7161411 .4105182 .63495 .0671 3.2192
english | 870 .3793103 .4854945 0 0 1
gdpdfratio~w | 870 1.044782 .184782 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) = 12548.28
Log likelihood = -521.3251 Prob > chi2 = 0.0000
------
lrimp | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .3469555 .0296348 11.71 0.000 .2888723 .4050388
lgdp | 1.154579 .0296125 38.99 0.000 1.09654 1.212619
lgdpau | .0501984 .585577 0.09 0.932 -1.097511 1.197908
lgdpdfrati~w | -.9141845 .2364803 -3.87 0.000 -1.377677 -.4506917
lpopau | -1.619072 2.017494 -0.80 0.422 -5.573289 2.335144
lpop | .0455893 .0373088 1.22 0.222 -.0275345 .1187131
lxrate1 | -.1434726 .01534 -9.35 0.000 -.1735385 -.1134067
lremote | -.4863862 .0751694 -6.47 0.000 -.6337155 -.3390569
ldist | -2.179732 .1263771 -17.25 0.000 -2.427426 -1.932037
lopen | .2291913 .0482287 4.75 0.000 .1346648 .3237179
english | .9376326 .110271 8.50 0.000 .7215054 1.15376
white | 5.066067 .4812396 10.53 0.000 4.122855 6.00928
lwhitemg | -.4711096 .0427278 -11.03 0.000 -.5548544 -.3873647
_cons | 29.37313 18.55683 1.58 0.113 -6.997583 65.74385
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .000878
lgdp | -.000268 .000877
lgdpau | -.000367 .000938 .3429
lgdpdfrati~w | -.00077 -.000104 -.008038 .055923
lpopau | .000487 -.005877 -1.16297 .047309 4.07028
lpop | -.000194 -.000578 -.000144 .000272 .000909 .001392
lxrate1 | .000062 .000095 .00028 .00004 -.001278 -.000145 .000235
lremote | .000455 .000135 -.000566 -.002139 -.000814 -.000365 .000087
ldist | .001151 .000635 .000088 -.001397 -.00252 -.000627 .00097
lopen | -.000134 .000565 .001575 -.000104 -.012221 .000089 .000063
english | -.001115 .002184 .00245 .001666 -.009569 -.000783 .000319
white | .003381 .001137 .004052 -.010103 -.024648 .002539 -.000383
lwhitemg | -.000439 -.000085 -.000368 .000917 .002528 -.00016 .000039
_cons | -.009888 .054896 10.2911 -.597935 -36.9176 -.009074 .002706
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .00565
ldist | .004993 .015971
lopen | .001046 .000269 .002326
english | -.002218 .001175 -.000288 .01216
white | -.001353 .001568 -.002005 .016862 .231592
lwhitemg | .000267 -.000364 .000124 -.001347 -.020144 .001826
_cons | -.064688 -.169374 .137601 .062109 .195545 -.02253 344.356
.
. **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) = 76777.79
Log likelihood = -965.1268 Prob > chi2 = 0.0000
------
lrrefp_cm | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .0562386 .0146057 3.85 0.000 .0276121 .0848652
lgdp | 1.557741 .0519046 30.01 0.000 1.45601 1.659472
lgdpau | .839663 .3720676 2.26 0.024 .1104239 1.568902
lgdpdfrati~w | -.4033303 .1533759 -2.63 0.009 -.7039416 -.102719
lpopau | -6.212965 1.256482 -4.94 0.000 -8.675625 -3.750305
lpop | -.26406 .0858449 -3.08 0.002 -.4323129 -.095807
lxrate1 | -.1226713 .0203699 -6.02 0.000 -.1625956 -.0827471
lremote | -1.017684 .099236 -10.26 0.000 -1.212183 -.8231846
ldist | -3.398343 .1563495 -21.74 0.000 -3.704782 -3.091903
lopen | -.047332 .0276272 -1.71 0.087 -.1014803 .0068164
english | 1.008356 .0816976 12.34 0.000 .8482313 1.16848
white | 5.35665 .7362873 7.28 0.000 3.913554 6.799747
lwhitemg | -.5259053 .0693955 -7.58 0.000 -.661918 -.3898925
_cons | 95.85957 11.79955 8.12 0.000 72.73287 118.9863
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .000213
lgdp | -.00027 .002694
lgdpau | -.001343 .001948 .138434
lgdpdfrati~w | -.00062 .00059 -.012615 .023524
lpopau | .005215 -.007998 -.458155 .026616 1.57875
lpop | .000151 -.004222 -.001568 .00044 .004915 .007369
lxrate1 | -.000026 .000321 .000022 .000384 -.003252 -.000376 .000415
lremote | .000418 .000202 -.006956 -.00339 .024622 -.001082 .000058
ldist | .000621 -.001025 -.006794 -.001761 .018055 .001414 .00055
lopen | .000046 -.000117 -.00105 .00097 .003789 .000297 -.000073
english | -.000454 .000382 .003447 .002556 -.021162 .000212 .001109
white | .001189 -.013948 -.011461 -.004268 .046177 .021545 -.00133
lwhitemg | -.000106 .000771 .0005 .000201 -.00296 -.001112 .000158
_cons | -.057441 .094416 4.09305 -.104416 -14.4969 -.063965 .044535
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .009848
ldist | .005151 .024445
lopen | .000682 .000281 .000763
english | -.002661 .001548 -.000401 .006675
white | .007279 -.024483 .001956 -.002963 .542119
lwhitemg | .000129 .003387 -.000138 .000459 -.049486 .004816
_cons | -.34861 -.4061 -.046691 .252294 -.308783 .001511 139.229
.
.
. *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) = 8172.93
Log likelihood = -930.6044 Prob > chi2 = 0.0000
------
lrdiff_cm | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .0957486 .0215747 4.44 0.000 .0534631 .1380342
lgdp | 1.744389 .0667808 26.12 0.000 1.613502 1.875277
lgdpau | .1643436 .5241048 0.31 0.754 -.8628829 1.19157
lgdpdfrati~w | -.4985475 .2155294 -2.31 0.021 -.9209773 -.0761176
lpopau | -3.261004 1.819172 -1.79 0.073 -6.826515 .3045077
lpop | -.524548 .0815449 -6.43 0.000 -.6843732 -.3647229
lxrate1 | -.1621129 .0271137 -5.98 0.000 -.2152547 -.108971
lremote | -.4772132 .1273534 -3.75 0.000 -.7268213 -.2276051
ldist | -4.024313 .3201303 -12.57 0.000 -4.651757 -3.39687
lopen | .0545489 .0412019 1.32 0.186 -.0262053 .135303
english | 1.345459 .1463557 9.19 0.000 1.058607 1.632311
white | 10.39291 1.774674 5.86 0.000 6.914611 13.87121
lwhitemg | -.8987516 .1766554 -5.09 0.000 -1.24499 -.5525133
_cons | 65.53021 17.28662 3.79 0.000 31.64905 99.41136
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .000465
lgdp | -.000723 .00446
lgdpau | -.001806 .003538 .274686
lgdpdfrati~w | -.000833 .002015 -.018741 .046453
lpopau | .005405 -.018529 -.925181 .060826 3.30939
lpop | .000497 -.003975 -.001773 -.001643 .006676 .00665
lxrate1 | 9.7e-06 .000488 .00002 .00098 -.005278 -.000729 .000735
lremote | -.000057 -.000233 -.006483 -.001887 .018894 -.001002 .000056
ldist | .002007 .006384 -.011283 -.002697 -.004824 -.001151 .001261
lopen | .000103 -.000606 -.000188 .001781 .001107 .001014 -.00022
english | -.00094 .00204 .005799 .002132 -.04056 .003026 .001919
white | .000549 -.027547 .005497 -.001571 -.015395 .02537 .004095
lwhitemg | -.000056 .001466 -.001478 -.00029 .006355 -.001608 -.000421
_cons | -.0536 .11946 8.28221 -.540048 -30.5207 -.059745 .070911
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .016219
ldist | .008222 .102483
lopen | .000551 -.000647 .001698
english | -.004406 .003708 -.001448 .02142
white | .010575 -.136557 .002345 .027673 3.14947
lwhitemg | .000785 .011227 -.000116 -.002989 -.307343 .031207
_cons | -.342137 -.81028 -.014795 .420217 1.50323 -.185409 298.827
.
. *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) = 2189.31
Log likelihood = -1089.453 Prob > chi2 = 0.0000
------
lrhomo_cm | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .0789673 .0432164 1.83 0.068 -.0057354 .1636699
lgdp | .9374668 .0830894 11.28 0.000 .7746146 1.100319
lgdpau | -.3505116 .8310847 -0.42 0.673 -1.979408 1.278384
lgdpdfrati~w | -.2162094 .3396331 -0.64 0.524 -.8818781 .4494592
lpopau | -.1759069 2.847893 -0.06 0.951 -5.757674 5.405861
lpop | .139055 .1026505 1.35 0.176 -.0621364 .3402463
lxrate1 | -.1273045 .0331149 -3.84 0.000 -.1922085 -.0624005
lremote | .4477115 .2422131 1.85 0.065 -.0270175 .9224405
ldist | -1.897461 .3400545 -5.58 0.000 -2.563955 -1.230966
lopen | .3146958 .0796793 3.95 0.000 .1585272 .4708644
english | 1.853188 .2552344 7.26 0.000 1.352938 2.353438
white | 3.238148 2.206738 1.47 0.142 -1.086979 7.563274
lwhitemg | .0275845 .1891216 0.15 0.884 -.343087 .3982561
_cons | 5.636799 27.1041 0.21 0.835 -47.48626 58.75986
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .001868
lgdp | -.001754 .006904
lgdpau | -.002337 .002304 .690702
lgdpdfrati~w | -.000501 .000681 -.009511 .115351
lpopau | .005285 -.010983 -2.30986 .045212 8.11049
lpop | .000262 -.006121 -.000091 .000189 -.002549 .010537
lxrate1 | .000082 .000917 .000552 .00129 -.006542 -.001138 .001097
lremote | .001411 .001254 -.024951 -.016584 .077726 -.000442 -.000926
ldist | .004549 -.005801 -.019924 -.007948 .062496 .007149 -.000432
lopen | .000314 -.001043 .005159 .002323 -.027254 .002616 -.000206
english | -.004221 .001107 .010358 .005594 -.01802 .001048 .001417
white | .002425 -.027198 .060186 -.003949 -.229997 .03087 -.000278
lwhitemg | -.000407 .001226 -.006645 -.000826 .026368 -.001181 -.000125
_cons | -.054081 .113319 20.5764 -.417054 -75.0443 -.046054 .097844
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .058667
ldist | .026879 .115637
lopen | .002362 .000158 .006349
english | -.016736 .010245 -.001918 .065145
white | .028778 -.040956 .006674 .055529 4.86969
lwhitemg | .000368 .007892 -.000394 -.004277 -.407285 .035767
_cons | -1.40985 -1.85453 .278319 .028032 2.47863 -.347754 734.632
.
. **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) = 63982.11
Log likelihood = -889.6103 Prob > chi2 = 0.0000
------
lrrefp_lm | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .0210268 .0129736 1.62 0.105 -.004401 .0464546
lgdp | 1.517792 .055456 27.37 0.000 1.4091 1.626483
lgdpau | .7055222 .3443496 2.05 0.040 .0306094 1.380435
lgdpdfrati~w | -.277769 .135232 -2.05 0.040 -.5428189 -.0127191
lpopau | -6.721514 1.16543 -5.77 0.000 -9.005716 -4.437313
lpop | -.1108678 .0947267 -1.17 0.242 -.2965288 .0747932
lxrate1 | -.0497428 .0182883 -2.72 0.007 -.0855871 -.0138985
lremote | -.6158599 .1416714 -4.35 0.000 -.8935308 -.338189
ldist | -2.446719 .1611836 -15.18 0.000 -2.762633 -2.130805
lopen | -.0500525 .0263312 -1.90 0.057 -.1016607 .0015557
english | 1.217632 .1017659 11.97 0.000 1.018174 1.41709
white | 3.93487 .8352779 4.71 0.000 2.297755 5.571984
lwhitemg | -.2839451 .0748262 -3.79 0.000 -.4306017 -.1372885
_cons | 93.33705 11.07921 8.42 0.000 71.62219 115.0519
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .000168
lgdp | -.000177 .003075
lgdpau | -.000851 .002269 .118577
lgdpdfrati~w | -.000348 .00094 -.007515 .018288
lpopau | .00314 -.00808 -.393271 .012378 1.35823
lpop | .000097 -.005006 -.002368 -.00044 .006176 .008973
lxrate1 | -2.3e-06 .000265 6.2e-06 .000426 -.002646 -.000326 .000334
lremote | .000033 -.001453 -.011786 -.004766 .042962 .001295 -.000216
ldist | .000713 -.005563 -.005208 .000409 .008485 .009776 .000496
lopen | .00002 -.000143 -.000952 .000764 .003483 .000336 -.000069
english | -.000292 -.000102 .00323 .002497 -.017566 .000096 .000904
white | .000283 -.016443 -.018664 -.005032 .041874 .028236 .001463
lwhitemg | -.000058 .000643 .000393 -.000068 .000667 -.00123 -.000181
_cons | -.0348 .149309 3.56344 -.001509 -12.6077 -.172628 .038437
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .020071
ldist | -.00037 .02598
lopen | .001083 .000349 .000693
english | -.003959 .005174 -.000432 .010356
white | .024597 .026629 .001378 .004224 .697689
lwhitemg | .000051 -.001089 -.000011 -.000288 -.059389 .005599
_cons | -.558726 -.285459 -.048115 .186283 -.751558 -.005759 122.749
.
. *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) = 8924.65
Log likelihood = -961.3941 Prob > chi2 = 0.0000
------
lrdiff_lm | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .2233153 .0315016 7.09 0.000 .1615732 .2850574
lgdp | 1.639202 .0705154 23.25 0.000 1.500994 1.77741
lgdpau | -.1977063 .6156872 -0.32 0.748 -1.404431 1.009019
lgdpdfrati~w | -.1381529 .26588 -0.52 0.603 -.659268 .3829623
lpopau | -1.091679 2.157008 -0.51 0.613 -5.319336 3.135979
lpop | -.5029677 .0820493 -6.13 0.000 -.6637814 -.3421541
lxrate1 | -.1313976 .0282298 -4.65 0.000 -.186727 -.0760683
lremote | -.4046594 .124074 -3.26 0.001 -.6478399 -.1614789
ldist | -2.978552 .3189115 -9.34 0.000 -3.603607 -2.353496
lopen | .1199326 .049986 2.40 0.016 .0219617 .2179034
english | .9912839 .1414287 7.01 0.000 .7140887 1.268479
white | 10.23688 1.74474 5.87 0.000 6.817248 13.6565
lwhitemg | -.9241333 .1736291 -5.32 0.000 -1.26444 -.5838264
_cons | 29.40617 20.52903 1.43 0.152 -10.82998 69.64232
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .000992
lgdp | -.001466 .004972
lgdpau | -.001855 .003385 .379071
lgdpdfrati~w | -.001255 .002717 -.024516 .070692
lpopau | .005029 -.017143 -1.28982 .097548 4.65268
lpop | .000859 -.004311 -.001482 -.001873 .007382 .006732
lxrate1 | .000074 .000366 -.000069 .001215 -.005003 -.000689 .000797
lremote | .000023 -.000169 -.003996 -.000841 .005926 -.001076 .000122
ldist | .004337 .000574 -.011805 -.003503 -.005229 .001079 .001308
lopen | .000147 -.000773 .001677 .001596 -.008145 .001466 -.000288
english | -.001684 .003367 .00282 .00442 -.019595 .000539 .001943
white | -.000353 -.02361 .013138 .002599 -.003467 .019107 .004106
lwhitemg | .000082 .00135 -.00201 -.000659 .003607 -.001205 -.000388
_cons | -.060379 .151497 11.5846 -1.03755 -43.2231 -.093364 .068948
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .015394
ldist | .010146 .101705
lopen | .000368 -.001014 .002499
english | -.004417 -.003466 -.001762 .020002
white | .009357 -.159359 .003408 .021614 3.04412
lwhitemg | .000781 .015078 -.000238 -.002499 -.29785 .030147
_cons | -.204906 -.714422 .092611 .229482 1.3476 -.166797 421.441
.
. *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) = 8636.27
Log likelihood = -1096.112 Prob > chi2 = 0.0000
------
lrhomo_lm | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .014994 .0160516 0.93 0.350 -.0164666 .0464546
lgdp | 1.360969 .052355 26.00 0.000 1.258355 1.463583
lgdpau | .3480442 .5338956 0.65 0.514 -.6983719 1.39446
lgdpdfrati~w | -.0362034 .1768502 -0.20 0.838 -.3828233 .3104166
lpopau | -4.463826 1.813578 -2.46 0.014 -8.018374 -.9092772
lpop | .1006407 .0750744 1.34 0.180 -.0465024 .2477837
lxrate1 | -.0769166 .0207524 -3.71 0.000 -.1175905 -.0362427
lremote | -.9435445 .1673317 -5.64 0.000 -1.271509 -.6155805
ldist | -3.321657 .1999565 -16.61 0.000 -3.713564 -2.929749
lopen | .1003172 .0444123 2.26 0.024 .0132706 .1873638
english | 2.453396 .1485749 16.51 0.000 2.162195 2.744598
white | 4.094922 1.134892 3.61 0.000 1.870574 6.319269
lwhitemg | -.2178656 .094121 -2.31 0.021 -.4023394 -.0333918
_cons | 75.52404 17.3484 4.35 0.000 41.5218 109.5263
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .000258
lgdp | -.000398 .002741
lgdpau | -.000171 -.000104 .285044
lgdpdfrati~w | -.000552 .0008 .001031 .031276
lpopau | -.000935 .001748 -.944624 -.001989 3.28907
lpop | .000172 -.003087 -.000235 -.000102 -.002672 .005636
lxrate1 | -.000021 .000268 .000419 .000809 -.002817 -.00045 .000431
lremote | .00019 .001009 -.019596 -.001682 .060485 -.001167 -.000189
ldist | .000546 .000606 -.013048 -.001513 .033028 -.000666 .000219
lopen | .000068 -.000354 -.000587 .001996 .002234 .00075 -.000132
english | -.000777 .000459 .00304 .001971 -.010124 .001126 .001018
white | .000288 -.014373 -.002698 -.0023 .005762 .024534 -.000549
lwhitemg | -8.7e-06 .000726 -.000976 .000295 .0028 -.001483 .000105
_cons | .019218 -.052891 8.49214 -.013141 -30.6202 .047053 .033645
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .028
ldist | .018755 .039983
lopen | .001018 .000165 .001972
english | -.003695 .003433 -.001466 .022074
white | .004373 -.008786 .000736 .036181 1.28798
lwhitemg | .00125 .00292 .000022 -.003137 -.103358 .008859
_cons | -.916211 -.758604 -.036462 .05072 -.059712 -.052306 300.967
.
. *IV. Aggregate NON-Manufacturing Imports (Sum of Sitc0,1,2,3,4)
. xtgls lrmnmf limmig lgdp lgdpau lgdpdfrationew lpopau lpop lxrate1 lremo
> te ldist lopen english white lwhitemg, igls panels(hetero)corr(psar1)nolog
Cross-sectional time-series FGLS regression
Coefficients: generalized least squares
Panels: heteroskedastic
Correlation: panel-specific AR(1)
Estimated covariances = 100 Number of obs = 1000
Estimated autocorrelations = 100 Number of groups = 100
Estimated coefficients = 14 Time periods = 10
Wald chi2(13) = 801.42
Log likelihood = -564.6635 Prob > chi2 = 0.0000
------
lrmnmf | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .2378378 .0421938 5.64 0.000 .1551394 .3205362
lgdp | .3092962 .0794586 3.89 0.000 .1535601 .4650323
lgdpau | -1.713952 .2633282 -6.51 0.000 -2.230066 -1.197838
lgdpdfrati~w | -.7575959 .173367 -4.37 0.000 -1.097389 -.4178027
lpopau | 3.142189 .8833334 3.56 0.000 1.410888 4.873491
lpop | .4794805 .0866405 5.53 0.000 .3096681 .6492928
lxrate1 | -.2217482 .0229525 -9.66 0.000 -.2667343 -.1767621
lremote | -.031355 .0734186 -0.43 0.669 -.1752527 .1125428
ldist | -1.84205 .3836904 -4.80 0.000 -2.594069 -1.09003
lopen | .0485337 .0345128 1.41 0.160 -.0191102 .1161776
english | .9078927 .202931 4.47 0.000 .5101553 1.30563
white | 9.765807 .7630493 12.80 0.000 8.270258 11.26136
lwhitemg | -.9647581 .0776229 -12.43 0.000 -1.116896 -.81262
_cons | 2.520406 8.805918 0.29 0.775 -14.73888 19.77969
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .00178
lgdp | -.002147 .006314
lgdpau | -.000028 .001389 .069342
lgdpdfrati~w | -.000315 .001827 .008856 .030056
lpopau | .003024 -.011087 -.220242 -.009137 .780278
lpop | .00045 -.004327 -.003091 -.001663 .005498 .007507
lxrate1 | -.000058 .000486 .003327 .001718 -.010476 -.000601 .000527
lremote | .000271 .000256 -.002825 -.00188 .005918 -.000236 -.000154
ldist | .003443 -.012936 -.000746 -.004347 -.011376 .018723 -.000259
lopen | -.000256 -.000126 -.002882 .000425 .006218 .000649 -.000253
english | -.00241 .002415 .009163 .004893 -.042516 .004586 .001464
white | .008909 -.01274 .023645 .011545 -.083557 .016648 .003251
lwhitemg | -.000733 .000195 -.00246 -.001443 .009054 -.000549 -.000375
_cons | -.05385 .20109 1.85579 -.078105 -6.89372 -.205802 .08447
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .00539
ldist | .005641 .147218
lopen | .000136 .000222 .001191
english | -.000513 .00875 -.000576 .041181
white | -.00067 -.014714 -.002609 .054008 .582244
lwhitemg | .000298 .00537 .000321 -.003423 -.056319 .006025
_cons | -.125584 -1.26528 -.034647 .238697 .814828 -.124685 77.5442
.
. *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) = 3097.62
Log likelihood = -582.0718 Prob > chi2 = 0.0000
------
lrmmfn | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .1452135 .0309522 4.69 0.000 .0845483 .2058788
lgdp | .2483621 .0538378 4.61 0.000 .142842 .3538822
lgdpau | -.1232788 .0682515 -1.81 0.071 -.2570494 .0104917
lgdpdfrati~w | -.1218808 .0443117 -2.75 0.006 -.2087301 -.0350316
lpopau | 2.554303 .271998 9.39 0.000 2.021197 3.08741
lpop | .7482202 .0980757 7.63 0.000 .5559954 .9404451
lxrate1 | -.0140127 .0088253 -1.59 0.112 -.03131 .0032846
lremote | .1372617 .0337999 4.06 0.000 .0710151 .2035083
ldist | -3.328647 .337444 -9.86 0.000 -3.990025 -2.667269
lopen | -.0096293 .0311078 -0.31 0.757 -.0705995 .051341
english | .5969734 .2719406 2.20 0.028 .0639797 1.129967
white | 23.7661 3.009142 7.90 0.000 17.86829 29.66391
lwhitemg | -2.239355 .2791329 -8.02 0.000 -2.786445 -1.692264
_cons | -20.81003 5.059756 -4.11 0.000 -30.72697 -10.89309
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .000958
lgdp | -.000596 .002899
lgdpau | -.000668 -.000399 .004658
lgdpdfrati~w | .000313 -.001098 .000944 .001964
lpopau | .004542 -.000504 -.015726 .00019 .073983
lpop | -.000174 -.002261 .001152 .000512 -.004257 .009619
lxrate1 | 5.8e-07 .000087 -.000046 .000032 .000709 -.000226 .000078
lremote | -.000322 .001194 -.000745 -.001073 .000057 -.000736 .000042
ldist | .003568 -.000631 -.00313 .000114 .020577 -.001827 -.000137
lopen | -.000303 -.000253 .000197 -.000466 -.004264 .001065 -.000182
english | -.000722 .000173 .000653 .00017 -.004342 -.000856 .000045
white | .002744 -.005194 .000911 .001829 -.000151 .024888 -.00049
lwhitemg | -.000522 .000127 .000184 -.000085 -.001918 -.002604 .000044
_cons | -.07856 -.013103 .169199 -.006604 -.960709 -.034686 -.008427
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .001142
ldist | -.000189 .113868
lopen | .00022 -.000716 .000968
english | -.000111 .056192 -.000115 .073952
white | -.002155 .008918 .001335 .020272 9.05494
lwhitemg | .000107 -.003272 8.5e-06 -.001428 -.828138 .077915
_cons | -.002485 -1.32721 .06304 -.483118 -.395531 .09951 25.6011
.
.
. **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) = 522.70
Log likelihood = -541.4122 Prob > chi2 = 0.0000
------
lrmsitc0 | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .4797403 .0502651 9.54 0.000 .3812224 .5782581
lgdp | -.0307399 .0710154 -0.43 0.665 -.1699275 .1084476
lgdpau | 1.704411 .8126737 2.10 0.036 .1116 3.297222
lgdpdfrati~w | -.6538297 .2955116 -2.21 0.027 -1.233022 -.0746376
lpopau | -8.663278 2.796833 -3.10 0.002 -14.14497 -3.181585
lpop | .4031551 .0838209 4.81 0.000 .2388692 .567441
lxrate1 | -.1658001 .0271059 -6.12 0.000 -.2189266 -.1126736
lremote | .006279 .2474248 0.03 0.980 -.4786647 .4912227
ldist | -1.515369 .3214695 -4.71 0.000 -2.145437 -.8853002
lopen | .031491 .0536756 0.59 0.557 -.0737113 .1366933
english | .1178151 .2228072 0.53 0.597 -.318879 .5545093
white | 9.396827 1.198341 7.84 0.000 7.048122 11.74553
lwhitemg | -.8271788 .1107116 -7.47 0.000 -1.04417 -.610188
_cons | 111.1283 26.44057 4.20 0.000 59.30579 162.9509
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .002527
lgdp | -.001298 .005043
lgdpau | .000717 -.00023 .660439
lgdpdfrati~w | -.001362 .001717 -.01771 .087327
lpopau | -.008273 -.004879 -2.20912 .073007 7.82228
lpop | -.000224 -.002994 -.000345 -.000137 -.001539 .007026
lxrate1 | .000255 -.000206 .000804 .000871 -.006448 -.000281 .000735
lremote | .001994 .003427 -.020973 -.012415 .059672 -.002911 .000213
ldist | .005473 .002009 -.00547 -.001138 -.030941 .003722 .001528
lopen | -.00028 .000734 .000137 -.000716 -.009484 .000712 4.6e-06
english | -.002194 -.000321 .00387 .003389 -.01171 .001854 .000142
white | .014429 -.024088 .022449 -.008526 -.099638 .024641 .004633
lwhitemg | -.001537 .00124 -.003637 -.000158 .017896 -.001431 -.00045
_cons | .065244 -.019076 19.5738 -.748673 -71.9347 -.020132 .074508
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .061219
ldist | .02808 .103343
lopen | .001221 .002499 .002881
english | -.013127 .02109 -.000317 .049643
white | .014091 .025761 -.002224 .034737 1.43602
lwhitemg | .000973 -.003452 .000116 -.002492 -.127589 .012257
_cons | -1.26651 -.711862 .096276 -.023852 .693903 -.167266 699.104
. 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) = 1473.50
Log likelihood = -367.2495 Prob > chi2 = 0.0000
------
lrmsitc1 | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .034299 .0187142 1.83 0.067 -.0023803 .0709782
lgdp | .1708527 .0556431 3.07 0.002 .0617942 .2799113
lgdpau | -.2893607 .3315753 -0.87 0.383 -.9392363 .3605149
lgdpdfrati~w | -.5211794 .2198919 -2.37 0.018 -.9521596 -.0901991
lpopau | 2.944216 1.179635 2.50 0.013 .632175 5.256258
lpop | .217908 .067482 3.23 0.001 .0856457 .3501704
lxrate1 | -.1082989 .0203789 -5.31 0.000 -.1482409 -.068357
lremote | -.1436913 .1205505 -1.19 0.233 -.379966 .0925834
ldist | -1.115333 .2195668 -5.08 0.000 -1.545676 -.6849902
lopen | .0190851 .028295 0.67 0.500 -.0363721 .0745424
english | 2.254112 .2085771 10.81 0.000 1.845308 2.662916
white | 9.738291 1.674119 5.82 0.000 6.457079 13.0195
lwhitemg | -.7392497 .1708821 -4.33 0.000 -1.074172 -.404327
_cons | -34.85964 11.93672 -2.92 0.003 -58.25518 -11.4641
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .00035
lgdp | -.000381 .003096
lgdpau | .000284 -.001332 .109942
lgdpdfrati~w | -.000662 -.00028 -.002449 .048352
lpopau | -.001344 .005938 -.37622 .029552 1.39154
lpop | .000133 -.00291 .00069 .000998 -.006231 .004554
lxrate1 | -.00002 .000199 .001377 .000909 -.00668 -.000201 .000415
lremote | .000192 .001091 -.007579 -.003818 .02662 -.000656 -.000393
ldist | .000914 .000743 -.002285 -.001685 .00048 .002146 -.000442
lopen | .000032 -.000286 -.000293 .001282 -.000828 .000378 -.000012
english | -.000383 -.002727 .003527 .004127 -.010974 .004202 .000304
white | .001943 -.022944 .012961 .003546 -.071236 .024964 .001077
lwhitemg | -.000193 .001361 -.001146 -.000016 .005526 -.001705 -.000066
_cons | .009855 -.100914 3.45875 -.438652 -13.4912 .063339 .07875
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .014532
ldist | .001613 .04821
lopen | -.00012 .000016 .000801
english | -.004135 .015738 6.5e-06 .043504
white | .010523 -.015219 .001498 .070994 2.80267
lwhitemg | -.000252 .000141 -.000085 -.006574 -.281466 .029201
_cons | -.394022 -.473198 .021954 -.038555 .982955 -.062477 142.485
. 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) = 1051.23
Log likelihood = -844.667 Prob > chi2 = 0.0000
------
lrmsitc2 | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .0974997 .0639508 1.52 0.127 -.0278417 .222841
lgdp | .488253 .1087029 4.49 0.000 .2751992 .7013068
lgdpau | -2.153458 1.079291 -2.00 0.046 -4.268829 -.0380866
lgdpdfrati~w | -1.102771 .4442662 -2.48 0.013 -1.973516 -.232025
lpopau | 4.630224 3.697948 1.25 0.211 -2.617621 11.87807
lpop | .32698 .130207 2.51 0.012 .071779 .5821811
lxrate1 | -.2219966 .0399931 -5.55 0.000 -.3003816 -.1436116
lremote | 1.512812 .2784966 5.43 0.000 .9669689 2.058655
ldist | -1.713596 .4294773 -3.99 0.000 -2.555356 -.8718359
lopen | .0227426 .0778644 0.29 0.770 -.1298688 .1753541
english | .5583382 .2617924 2.13 0.033 .0452346 1.071442
white | 11.12175 1.526037 7.29 0.000 8.13077 14.11273
lwhitemg | -.8624573 .1488517 -5.79 0.000 -1.154201 -.5707133
_cons | -28.93372 34.75211 -0.83 0.405 -97.04662 39.17917
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .00409
lgdp | -.00403 .011816
lgdpau | -.002322 .005596 1.16487
lgdpdfrati~w | -.001873 .004492 .001636 .197372
lpopau | .004988 -.02858 -3.89047 .044398 13.6748
lpop | .00102 -.010665 -.002405 -.002791 .013659 .016954
lxrate1 | .000101 .001596 .000686 .001305 -.008833 -.001627 .001599
lremote | .001711 -.00231 -.033939 -.022816 .085623 .001433 .001304
ldist | .011622 -.009654 -.011276 -.011139 .012074 .0085 -.002638
lopen | .000307 -.000678 .005548 .000528 -.031663 .001967 -.000394
english | -.005616 .010235 .007201 .00173 -.026261 -.007638 -.000519
white | .024311 -.050421 -.039491 -.041239 .059269 .053697 .006092
lwhitemg | -.002745 .003021 -.000298 .001095 .010976 -.002754 -.000816
_cons | -.092534 .351278 34.3087 -.726649 -125.366 -.27791 .124764
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .07756
ldist | .02079 .184451
lopen | .002932 .004361 .006063
english | -.004606 .018612 -.001018 .068535
white | .117616 .089526 .000689 .024819 2.32879
lwhitemg | -.004142 -.011812 .00002 -.004203 -.216724 .022157
_cons | -1.37348 -1.80214 .301717 .014001 -1.67941 -.032394 1207.71
. 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) = 662.03
Log likelihood = 27.88721 Prob > chi2 = 0.0000
------
lrmsitc3 | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .0436207 .0234585 1.86 0.063 -.0023571 .0895985
lgdp | .1425005 .0452742 3.15 0.002 .0537647 .2312362
lgdpau | .374687 .2844426 1.32 0.188 -.1828102 .9321843
lgdpdfrati~w | .1711322 .1089749 1.57 0.116 -.0424548 .3847191
lpopau | 2.589763 1.022686 2.53 0.011 .5853346 4.594191
lpop | .2703406 .065362 4.14 0.000 .1422334 .3984478
lxrate1 | -.0252893 .0111544 -2.27 0.023 -.0471515 -.003427
lremote | -.0366004 .0938458 -0.39 0.697 -.2205349 .147334
ldist | -2.031838 .3502234 -5.80 0.000 -2.718263 -1.345412
lopen | .0306528 .0285632 1.07 0.283 -.02533 .0866356
english | .8261577 .1575704 5.24 0.000 .5173253 1.13499
white | 14.87335 1.035328 14.37 0.000 12.84414 16.90255
lwhitemg | -1.253885 .0945321 -13.26 0.000 -1.439164 -1.068605
_cons | -40.38439 10.90556 -3.70 0.000 -61.75889 -19.00989
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .00055
lgdp | -.000378 .00205
lgdpau | -.000382 .000138 .080908
lgdpdfrati~w | -.00031 .000541 -.002743 .011876
lpopau | .001254 .000387 -.271897 .011752 1.04589
lpop | -.000117 -.001388 .000136 .000015 -.001254 .004272
lxrate1 | .000042 .000021 3.2e-07 .00025 -.001612 -.000047 .000124
lremote | .000498 .000943 -.004204 -.001677 .012958 -.000767 .000028
ldist | .001396 -.002571 -.005892 -.004396 -.006519 .005766 -.000029
lopen | 8.6e-06 -.000022 .000125 -.0002 -.00276 .000276 -.000038
english | -.000699 -.000379 .001555 .00163 -.002675 .003837 .000124
white | .002318 -.009565 .0197 .001755 -.186749 .015324 .002888
lwhitemg | -.000299 .000464 -.00199 -.00036 .01814 -.001191 -.000306
_cons | -.020776 -.015841 2.4799 -.090165 -10.2665 -.067425 .026172
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .008807
ldist | .008228 .122656
lopen | 3.6e-08 .000282 .000816
english | -.002751 .007541 -.000058 .024828
white | -.002187 -.025414 -.000359 .02314 1.0719
lwhitemg | .000308 .003168 .000038 -.00197 -.095709 .008936
_cons | -.269069 -1.0237 .036805 -.100687 2.7821 -.26991 118.931
. 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) = 279.12
Log likelihood = 138.6397 Prob > chi2 = 0.0000
------
lrmsitc4 | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | -.011873 .0182045 -0.65 0.514 -.0475531 .0238071
lgdp | .2714966 .050742 5.35 0.000 .1720441 .370949
lgdpau | -.3618599 .3528243 -1.03 0.305 -1.053383 .329663
lgdpdfrati~w | -.1095912 .1484152 -0.74 0.460 -.4004796 .1812972
lpopau | 4.680046 1.281893 3.65 0.000 2.167582 7.19251
lpop | -.0320063 .0614195 -0.52 0.602 -.1523863 .0883737
lxrate1 | -.117265 .0156768 -7.48 0.000 -.1479909 -.0865391
lremote | .3649492 .1271969 2.87 0.004 .1156479 .6142505
ldist | -1.268074 .2764738 -4.59 0.000 -1.809953 -.7261958
lopen | .0287755 .0288757 1.00 0.319 -.0278199 .085371
english | .3666547 .1765964 2.08 0.038 .020532 .7127773
white | 9.483446 1.997557 4.75 0.000 5.568307 13.39858
lwhitemg | -.8026113 .1894858 -4.24 0.000 -1.173997 -.4312261
_cons | -63.76257 13.56176 -4.70 0.000 -90.34313 -37.18202
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .000331
lgdp | -.000382 .002575
lgdpau | .000213 -.000694 .124485
lgdpdfrati~w | -.000506 .000491 -.005594 .022027
lpopau | -.002169 .003529 -.426434 .027164 1.64325
lpop | .000079 -.002224 -.000146 -.000036 .000567 .003772
lxrate1 | -6.0e-06 .000014 .000495 .000487 -.004421 -.000135 .000246
lremote | .000298 .001761 -.007298 -.001176 .024789 -.001366 -.000041
ldist | .001692 -.002185 -.002383 -.001535 .004688 .004951 .000022
lopen | -2.6e-06 -.000018 .00004 .000251 -.001441 .000221 -.000031
english | -.000413 -.001939 .00021 .001065 .020682 .005041 .000228
white | .002364 -.014529 .017754 -.005119 -.142274 .015623 .002087
lwhitemg | -.000252 .000931 -.002018 .000519 .014154 -.001241 -.000152
_cons | .018053 -.055476 3.91477 -.31202 -16.4253 -.051077 .06069
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .016179
ldist | .007302 .076438
lopen | .000077 -.000365 .000834
english | -.001501 .016673 -.000225 .031186
white | -.000719 .012024 -.00058 .03677 3.99023
lwhitemg | .000628 -.001938 .00008 -.003468 -.372466 .035905
_cons | -.447866 -.847746 .022962 -.536762 1.84047 -.168299 183.921
. 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) = 463.81
Log likelihood = -677.2273 Prob > chi2 = 0.0000
------
lrmsitc5 | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .1711328 .0554109 3.09 0.002 .0625294 .2797363
lgdp | .7123681 .1091583 6.53 0.000 .4984217 .9263145
lgdpau | -.8459002 .7327221 -1.15 0.248 -2.282009 .5902086
lgdpdfrati~w | -.3096018 .298466 -1.04 0.300 -.8945844 .2753808
lpopau | 4.658636 2.529787 1.84 0.066 -.2996564 9.616928
lpop | -.2276145 .1512252 -1.51 0.132 -.5240105 .0687815
lxrate1 | -.1844052 .0332535 -5.55 0.000 -.2495809 -.1192295
lremote | .1435385 .2541924 0.56 0.572 -.3546695 .6417465
ldist | -3.266387 .7114432 -4.59 0.000 -4.66079 -1.871984
lopen | .0506441 .070339 0.72 0.472 -.0872178 .188506
english | -.435934 .4405689 -0.99 0.322 -1.299433 .4275652
white | 20.41858 4.595379 4.44 0.000 11.4118 29.42536
lwhitemg | -1.815756 .4222039 -4.30 0.000 -2.64326 -.9882512
_cons | -34.63475 24.77373 -1.40 0.162 -83.19036 13.92086
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .00307
lgdp | -.002644 .011916
lgdpau | .001897 -.001871 .536882
lgdpdfrati~w | -.001974 .004373 -.017194 .089082
lpopau | -.011626 -.001651 -1.79069 .083265 6.39982
lpop | -.000052 -.008798 -.001308 -.002386 -.006392 .022869
lxrate1 | .000228 .000591 .002144 .001504 -.011999 -.000877 .001106
lremote | .000909 .004869 -.02215 -.01239 .041915 -.003471 .000673
ldist | .011928 .012079 -.005721 -.003176 -.068281 .005204 .000377
lopen | .000465 -.000952 -.000746 .000291 -.013282 .002078 -.000161
english | -.006412 .004304 -.001087 .005252 -.008997 .017898 -.000049
white | .010594 -.038237 .150641 .012703 -.485597 .076723 .006913
lwhitemg | -.001594 .001659 -.015757 -.002768 .054095 -.005719 -.000795
_cons | .068962 -.205113 15.9322 -.939195 -58.781 -.039492 .127133
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .064614
ldist | .035453 .506151
lopen | .000845 .003586 .004948
english | -.002101 .139836 -.001661 .194101
white | .046857 .276019 .003753 .31053 21.1175
lwhitemg | -.001132 -.041703 -.000247 -.034202 -1.912 .178256
_cons | -1.07095 -4.29112 .188989 -1.53008 .523531 -.001781 613.738
. 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) = 1262.41
Log likelihood = -559.9424 Prob > chi2 = 0.0000
------
lrmsitc6 | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .1781062 .0449321 3.96 0.000 .0900408 .2661715
lgdp | .4783721 .102086 4.69 0.000 .2782872 .678457
lgdpau | .7654626 .6893947 1.11 0.267 -.5857263 2.116651
lgdpdfrati~w | -.1504992 .2951648 -0.51 0.610 -.7290115 .4280132
lpopau | -3.489663 2.383591 -1.46 0.143 -8.161416 1.182089
lpop | .6632375 .1260278 5.26 0.000 .4162276 .9102473
lxrate1 | -.1440607 .0331152 -4.35 0.000 -.2089653 -.0791561
lremote | -.3267643 .2447533 -1.34 0.182 -.806472 .1529433
ldist | -1.940595 .4305816 -4.51 0.000 -2.784519 -1.09667
lopen | -.0584746 .067512 -0.87 0.386 -.1907957 .0738466
english | 1.374009 .3198085 4.30 0.000 .7471956 2.000822
white | 22.59098 3.1903 7.08 0.000 16.33811 28.84385
lwhitemg | -2.161214 .2782501 -7.77 0.000 -2.706574 -1.615854
_cons | 41.31553 22.81418 1.81 0.070 -3.399444 86.03051
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .002019
lgdp | -.001803 .010422
lgdpau | -.002442 .005327 .475265
lgdpdfrati~w | -.002144 .003942 -.010728 .087122
lpopau | .007581 -.0384 -1.58924 .032049 5.68151
lpop | .000318 -.008658 -.00336 -.003355 .01806 .015883
lxrate1 | .000101 .000748 -.000027 .00184 -.004562 -.000872 .001097
lremote | .000725 .003505 -.012397 -.021224 .02622 -.00148 .000062
ldist | .007129 -.003008 -.010467 -.005154 -.001524 .01509 .000795
lopen | .000159 -.00005 .001004 .002844 -.013148 .001259 -.000097
english | -.003084 .002788 .004672 .007496 -.026325 -.001894 .000654
white | .006693 -.033918 .036412 -.007884 -.052486 .052395 .007688
lwhitemg | -.000859 .000927 -.004586 -.001123 .01461 -.003095 -.000863
_cons | -.108553 .401462 14.0589 -.131033 -52.2717 -.395009 .059513
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .059904
ldist | .012758 .1854
lopen | .001192 .002169 .004558
english | -.009615 .062667 -.001263 .102277
white | .032325 .021606 .003806 -.022859 10.178
lwhitemg | -.000047 -.004054 -.000391 .003851 -.873351 .077423
_cons | -.791483 -1.79231 .141429 -.252 -.712816 -.046434 520.487
. 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) = 1927.27
Log likelihood = -766.5967 Prob > chi2 = 0.0000
------
lrmsitc7 | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .0491887 .0353548 1.39 0.164 -.0201055 .1184828
lgdp | 1.036036 .104303 9.93 0.000 .8316061 1.240467
lgdpau | .6203909 .7713646 0.80 0.421 -.891456 2.132238
lgdpdfrati~w | -.1122465 .3096995 -0.36 0.717 -.7192464 .4947533
lpopau | 4.432492 2.682604 1.65 0.098 -.8253153 9.690299
lpop | -.4434708 .1519568 -2.92 0.004 -.7413007 -.1456409
lxrate1 | -.1638859 .0291001 -5.63 0.000 -.2209212 -.1068507
lremote | -.3214901 .2080531 -1.55 0.122 -.7292668 .0862865
ldist | -1.505024 .7548345 -1.99 0.046 -2.984472 -.0255757
lopen | .010869 .0759921 0.14 0.886 -.1380728 .1598107
english | .2158526 .3465087 0.62 0.533 -.4632921 .8949972
white | 28.71285 2.696836 10.65 0.000 23.42715 33.99856
lwhitemg | -2.680248 .2629675 -10.19 0.000 -3.195655 -2.164841
_cons | -86.13609 26.53072 -3.25 0.001 -138.1353 -34.13684
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .00125
lgdp | -.002066 .010879
lgdpau | .000361 -.00042 .595003
lgdpdfrati~w | -.002522 .004394 -.018031 .095914
lpopau | -.008842 -.007258 -1.99138 .079678 7.19636
lpop | .00188 -.013607 -.003037 -.003683 .030038 .023091
lxrate1 | -.000026 .000794 .001517 .001395 -.013154 -.001381 .000847
lremote | .001376 .005814 -.019853 -.005652 .013764 -.005524 .000537
ldist | .00692 .015429 -.02756 -.0081 -.066217 .006739 .001537
lopen | .000236 -.000293 -.003274 .005485 .001678 .000641 -.000221
english | -.001401 .00341 .004354 .004974 -.007423 -.000685 .001397
white | .019806 -.063518 .074333 -.03237 -.592369 .071097 .012583
lwhitemg | -.001798 .004422 -.008502 .00256 .06419 -.004946 -.001239
_cons | .072579 -.095086 17.9262 -.851132 -66.9417 -.490399 .157795
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .043286
ldist | .07681 .569775
lopen | .002175 .003976 .005775
english | .000738 .062901 -.000947 .120068
white | .040174 .075721 -.011994 .231117 7.27293
lwhitemg | -.002884 -.014108 .001349 -.025703 -.699451 .069152
_cons | -.866848 -4.79143 -.00392 -.678864 6.97763 -.690886 703.879
. 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) = 432.00
Log likelihood = -578.3605 Prob > chi2 = 0.0000
------
lrmsitc8 | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .3360452 .0574266 5.85 0.000 .2234911 .4485994
lgdp | .2029147 .0981403 2.07 0.039 .0105633 .3952661
lgdpau | 1.088505 .7648046 1.42 0.155 -.4104841 2.587495
lgdpdfrati~w | -.691589 .326768 -2.12 0.034 -1.332043 -.0511355
lpopau | -3.954585 2.637301 -1.50 0.134 -9.1236 1.214429
lpop | .4134154 .1024647 4.03 0.000 .2125882 .6142426
lxrate1 | -.1522684 .030146 -5.05 0.000 -.2113535 -.0931834
lremote | -.1091557 .2203172 -0.50 0.620 -.5409694 .322658
ldist | -.8902754 .5766757 -1.54 0.123 -2.020539 .2399881
lopen | .1043751 .0700582 1.49 0.136 -.0329364 .2416867
english | .5633824 .2701784 2.09 0.037 .0338424 1.092922
white | 20.19614 2.139825 9.44 0.000 16.00216 24.39012
lwhitemg | -1.88357 .2009038 -9.38 0.000 -2.277334 -1.489806
_cons | 38.78873 24.92382 1.56 0.120 -10.06106 87.63853
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .003298
lgdp | -.00349 .009632
lgdpau | -.002107 .005958 .584926
lgdpdfrati~w | -.003142 .006498 -.014168 .106777
lpopau | .006302 -.032093 -1.95571 .068207 6.95536
lpop | .001505 -.005943 -.004001 -.004283 .008959 .010499
lxrate1 | -.000055 .000227 -.000014 .000988 -.002876 -.000227 .000909
lremote | -.000129 .002138 -.00841 -.016481 -.002651 .002167 .000409
ldist | .012858 -.000374 -.007566 -.014399 -.069327 .00795 .001068
lopen | -.000343 .000693 .001718 -.00029 -.020495 .001628 -.000185
english | -.001665 .006855 .004273 .002839 -.031673 .000267 .00043
white | .028767 -.044418 -.000076 -.072792 .057249 .021552 .001988
lwhitemg | -.003046 .002919 -.00144 .004723 .003203 -.001252 -.000381
_cons | -.133455 .249949 17.1987 -.650324 -62.946 -.174381 .029981
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .04854
ldist | .046048 .332555
lopen | .002276 .003488 .004908
english | .012392 .087838 .000281 .072996
white | .114306 .252338 -.00753 .152311 4.57885
lwhitemg | -.008278 -.03359 .000757 -.018413 -.421878 .040362
_cons | -.670553 -2.41332 .207046 -.697653 -3.85863 .351475 621.197
. 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) = 1352.64
Log likelihood = -270.0592 Prob > chi2 = 0.0000
------
lrmsitc9 | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | -.0017764 .025753 -0.07 0.945 -.0522514 .0486986
lgdp | .4364205 .0840487 5.19 0.000 .2716879 .601153
lgdpau | -.424225 .4895511 -0.87 0.386 -1.383727 .5352775
lgdpdfrati~w | .1087252 .2343449 0.46 0.643 -.3505823 .5680327
lpopau | 1.505375 1.690815 0.89 0.373 -1.808562 4.819312
lpop | -.1534287 .1257543 -1.22 0.222 -.3999026 .0930452
lxrate1 | -.0559751 .0241968 -2.31 0.021 -.1034 -.0085502
lremote | -.0238518 .1707822 -0.14 0.889 -.3585788 .3108751
ldist | -3.905173 .5184105 -7.53 0.000 -4.921239 -2.889107
lopen | .0013944 .0500006 0.03 0.978 -.096605 .0993937
english | .0610021 .3045661 0.20 0.841 -.5359364 .6579407
white | 16.97165 2.652382 6.40 0.000 11.77308 22.17022
lwhitemg | -1.262727 .283778 -4.45 0.000 -1.818922 -.7065324
_cons | 17.60564 17.04115 1.03 0.302 -15.7944 51.00568
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .000663
lgdp | -.000794 .007064
lgdpau | .000079 -.002226 .23966
lgdpdfrati~w | -.001138 .002815 -.0092 .054918
lpopau | -.001024 .002036 -.798483 .054357 2.85886
lpop | .000174 -.006806 -.000232 -.001644 -.006604 .015814
lxrate1 | -.000042 .00021 .00155 .001184 -.007156 -.00061 .000585
lremote | .000174 .002453 -.017395 -.003805 .049825 -.002512 -.000134
ldist | .002775 .001128 -.011199 -.002597 -.007021 .019869 -.000547
lopen | .000071 -.000247 -.002207 .001444 .002531 .000919 -.00004
english | -.00132 -.000475 .001818 .001828 -.006649 .008342 .000564
white | .004363 -.041198 .040195 -.019571 -.293127 .079003 .002054
lwhitemg | -.000486 .002015 -.004724 .001289 .033798 -.006431 7.0e-06
_cons | .000204 -.056523 7.27165 -.696039 -26.8192 -.146283 .085535
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .029167
ldist | .013993 .268749
lopen | .000081 .000948 .0025
english | -.000104 .061085 .000011 .09276
white | -.000015 .164189 -.00025 .135833 7.03513
lwhitemg | .002453 -.020547 .000099 -.013326 -.742574 .08053
_cons | -.771887 -2.64073 -.003099 -.653332 1.8829 -.204117 290.401
.
. clear
. insheet using k:\book1.txt
(104 vars, 1010 obs)
. *Dropping Egypt
. drop if ccode==332180
(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 491140 1561201 8381.5 0 1.39e+07
immig | 1000 33118.59 117085.8 2790 0 1137050
gdp | 1000 2.78e+11 9.70e+11 1.63e+10 1.92e+08 8.99e+12
gdpau | 1000 3.83e+11 4.44e+10 3.80e+11 3.19e+11 4.52e+11
gdpdefnew | 1000 105.7115 16.83732 102.8924 60.87417 207.3465
gdpdfau | 1000 100.7173 4.633489 100.8223 94.42464 109.9797
pop | 1000 4.90e+07 1.54e+08 1.02e+07 41000 1.26e+09
popau | 1000 1.82e+07 612793.8 1.82e+07 1.73e+07 1.92e+07
xrate1 | 1000 1043.091 10901.71 16.2185 .0068 270182.6
remote | 1000 6755.024 4142.523 6797 1293 39620
dist | 1000 13361.45 3531.538 14305 2409 17972
open | 1000 .7105443 .3892773 .63975 .0671 3.2192
english | 1000 .38 .4856293 0 0 1
gdpdfratio~w | 1000 1.05253 .179928 1.017907 .5844526 2.009028
white | 1000 .13 .3364717 0 0 1
whitemg | 1000 20501.65 116468.1 0 0 1137050
------
.
. sort white
. *IIIB. Descriptives Original Unites(sub sample for "white" and "non-white" cou
> ntries)--RHS Variables:
. by white: tabstat rimp immig gdp gdpau gdpdefnew gdpdfau pop popau xrate1 remo
> te dist phone open english gdpdfrationew white whitemg, stat(n mean sd median
> min max) col(stat)
------
-> white = 0
variable | N mean sd p50 min max
------+------
rimp | 870 404880.7 1597593 3015.5 0 1.39e+07
immig | 870 14502.23 27088.83 1403.5 0 158613
gdp | 870 2.37e+11 1.00e+12 1.00e+10 1.92e+08 8.99e+12
gdpau | 870 3.83e+11 4.44e+10 3.80e+11 3.19e+11 4.52e+11
gdpdefnew | 870 104.8409 17.18648 101.7385 60.87417 207.3465