Vietnam to Ghana
------
log: K:\Vietnam to Ghana.log
opened on: 26 Jul 2006, 07:59:08
. *Dropping Vietnam
. drop if ccode==487040
(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 487497.4 1561613 7348 0 1.39e+07
immig | 1000 32005.4 116532.3 2790 0 1137050
gdp | 1000 2.79e+11 9.69e+11 1.66e+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 105.6023 16.74017 102.8924 60.87417 207.3465
gdpdfau | 1000 100.7173 4.633489 100.8223 94.42464 109.9797
pop | 1000 4.89e+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 963.9381 10879.69 13.89535 .0068 270182.6
remote | 1000 6740.858 4145.983 6794 1293 39620
dist | 1000 13426.41 3485.95 14305 2409 17972
open | 1000 .7102043 .3882769 .63745 .0671 3.2192
english | 1000 .38 .4856293 0 0 1
gdpdfratio~w | 1000 1.051429 .1787449 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 400693.8 1597830 2944.5 0 1.39e+07
immig | 870 13222.69 23178.41 1403.5 0 135644
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 | 870 104.7154 17.07057 101.7385 60.87417 207.3465
gdpdfau | 870 100.7173 4.633836 100.8223 94.42464 109.9797
pop | 870 5.27e+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 1091.982 11659.16 19.96485 .0068 270182.6
remote | 870 7167.455 4116.041 6955 1293 39620
dist | 870 13265.3 3369.95 14051 2410 17972
phone | 870 159.1858 241.9245 49.865 .54 1449.75
open | 870 .7179147 .4095958 .63605 .0671 3.2192
english | 870 .3908046 .4882114 0 0 1
gdpdfratio~w | 870 1.042831 .1832916 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) = 8590.88
Log likelihood = -544.7271 Prob > chi2 = 0.0000
------
lrimp | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .3013463 .0306476 9.83 0.000 .2412782 .3614145
lgdp | 1.259508 .0331905 37.95 0.000 1.194456 1.32456
lgdpau | .1356742 .6112034 0.22 0.824 -1.062262 1.333611
lgdpdfrati~w | -.9000398 .2489404 -3.62 0.000 -1.387954 -.4121257
lpopau | -2.746553 2.107289 -1.30 0.192 -6.876763 1.383657
lpop | -.0284517 .0420072 -0.68 0.498 -.1107844 .053881
lxrate1 | -.1352212 .0189464 -7.14 0.000 -.1723554 -.0980869
lremote | -.474856 .0786254 -6.04 0.000 -.628959 -.320753
ldist | -2.103466 .1641621 -12.81 0.000 -2.425218 -1.781714
lopen | .2835438 .0589132 4.81 0.000 .1680761 .3990115
english | 1.0588 .1135594 9.32 0.000 .8362279 1.281372
white | 4.709375 .4874884 9.66 0.000 3.753915 5.664835
lwhitemg | -.4374393 .0435282 -10.05 0.000 -.5227529 -.3521257
_cons | 43.98111 19.43923 2.26 0.024 5.880915 82.0813
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .000939
lgdp | -.000339 .001102
lgdpau | -.001072 .001451 .37357
lgdpdfrati~w | -.000999 .000225 -.00881 .061971
lpopau | .002611 -.008763 -1.26226 .047777 4.44067
lpop | -.000153 -.000725 .000079 .000309 .000247 .001765
lxrate1 | .000103 .000101 .000348 .000152 -.002437 -.000108 .000359
lremote | .000521 .000357 -.000507 -.001963 -.004508 -.00032 .000122
ldist | .001571 .000829 -.000556 -.001763 -.009635 -.00016 .001584
lopen | -.000187 .000753 .002511 .000896 -.018088 .000354 .000168
english | -.001251 .002272 .003532 .003013 -.012929 -.00087 .000321
white | .003151 .001658 .002372 -.009607 -.016341 .003062 -.00063
lwhitemg | -.000427 -.000135 -.000136 .000921 .001556 -.000201 .000055
_cons | -.030389 .08279 11.1289 -.596749 -40.2966 -.011602 .012688
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .006182
ldist | .0078 .026949
lopen | .001515 .000929 .003471
english | -.00273 -.000329 7.1e-06 .012896
white | -.003296 .004712 -.002332 .023796 .237645
lwhitemg | .000333 -.000713 .00014 -.001948 -.02083 .001895
_cons | -.041948 -.177998 .190993 .106932 .066563 -.007731 377.884
.
. **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) = 53021.58
Log likelihood = -981.8314 Prob > chi2 = 0.0000
------
lrrefp_cm | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .0437057 .0134088 3.26 0.001 .0174249 .0699865
lgdp | 1.684584 .0544029 30.96 0.000 1.577957 1.791212
lgdpau | .9323377 .3362954 2.77 0.006 .2732108 1.591465
lgdpdfrati~w | -.537096 .142435 -3.77 0.000 -.8162634 -.2579286
lpopau | -6.456328 1.137213 -5.68 0.000 -8.685225 -4.227431
lpop | -.4628389 .0849391 -5.45 0.000 -.6293165 -.2963613
lxrate1 | -.1284909 .0200801 -6.40 0.000 -.1678472 -.0891347
lremote | -.8462814 .1215375 -6.96 0.000 -1.08449 -.6080724
ldist | -2.953428 .1576637 -18.73 0.000 -3.262443 -2.644413
lopen | -.0714444 .0266114 -2.68 0.007 -.1236017 -.019287
english | .9802048 .0828392 11.83 0.000 .8178429 1.142567
white | 3.971752 .7517521 5.28 0.000 2.498345 5.445159
lwhitemg | -.3995948 .069383 -5.76 0.000 -.535583 -.2636065
_cons | 92.07433 10.84269 8.49 0.000 70.82306 113.3256
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .00018
lgdp | -.000199 .00296
lgdpau | -.001063 .002041 .113095
lgdpdfrati~w | -.000465 .000513 -.010367 .020288
lpopau | .004303 -.009196 -.373511 .020258 1.29325
lpop | .00006 -.004242 -.002139 -.000036 .007145 .007215
lxrate1 | -.000023 .000323 -2.7e-06 .000489 -.003286 -.000368 .000403
lremote | .000127 -.000484 -.007527 -.004909 .025937 .001209 -.000172
ldist | .000423 -.00188 -.006761 -.002459 .015295 .004615 .000353
lopen | .000033 -.000165 -.001092 .000746 .004159 .000367 -.000094
english | -.000397 .000681 .002759 .002392 -.019943 -.000035 .001105
white | .000527 -.014765 -.014151 -.005496 .06043 .020124 -.001231
lwhitemg | -.000075 .000567 .000503 .000175 -.003198 -.000571 .000112
_cons | -.045399 .120978 3.36201 -.026955 -11.9648 -.13401 .049468
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .014771
ldist | .00741 .024858
lopen | .000969 .000484 .000708
english | -.002146 .002982 -.00044 .006862
white | .018002 -.012477 .002273 -.0052 .565131
lwhitemg | -.000146 .002598 -.000116 .000575 -.049576 .004814
_cons | -.436577 -.411709 -.055938 .229199 -.646171 .01199 117.564
.
.
. *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) = 7606.86
Log likelihood = -940.7533 Prob > chi2 = 0.0000
------
lrdiff_cm | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .1155067 .0236977 4.87 0.000 .06906 .1619534
lgdp | 1.716235 .071887 23.87 0.000 1.575339 1.857131
lgdpau | .2126342 .5742025 0.37 0.711 -.912782 1.338051
lgdpdfrati~w | -.4087767 .2316691 -1.76 0.078 -.8628399 .0452865
lpopau | -3.599446 1.996207 -1.80 0.071 -7.511941 .3130482
lpop | -.581446 .0843681 -6.89 0.000 -.7468045 -.4160875
lxrate1 | -.1525683 .0275741 -5.53 0.000 -.2066126 -.098524
lremote | -.4210784 .1306205 -3.22 0.001 -.6770898 -.165067
ldist | -4.024354 .3423131 -11.76 0.000 -4.695276 -3.353433
lopen | .0693037 .0481866 1.44 0.150 -.0251403 .1637477
english | 1.142632 .1464822 7.80 0.000 .8555323 1.429732
white | 10.03074 1.849162 5.42 0.000 6.406452 13.65503
lwhitemg | -.8566365 .1845839 -4.64 0.000 -1.218414 -.4948587
_cons | 70.77059 18.97137 3.73 0.000 33.5874 107.9538
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .000562
lgdp | -.00094 .005168
lgdpau | -.001843 .004148 .329709
lgdpdfrati~w | -.000906 .002419 -.022389 .053671
lpopau | .005037 -.018985 -1.11311 .076998 3.98484
lpop | .000694 -.004495 -.002053 -.002115 .004728 .007118
lxrate1 | .000018 .000477 .000157 .000969 -.005685 -.000728 .00076
lremote | -.000062 -.000382 -.00707 -.001149 .021405 -.001195 .000167
ldist | .002254 .007652 -.010402 -.001815 -.009369 -.0019 .001456
lopen | .000139 -.000755 -.000281 .002238 .000736 .001337 -.000219
english | -.001021 .00255 .006798 .001151 -.044933 .002391 .001959
white | .001833 -.031888 .00708 -.005395 -.037744 .028956 .004308
lwhitemg | -.000152 .001745 -.001892 4.7e-06 .009129 -.00192 -.000423
_cons | -.047444 .092871 9.94739 -.735791 -36.7508 -.006624 .071286
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .017062
ldist | .009074 .117178
lopen | .000634 -.000736 .002322
english | -.004836 .004412 -.001657 .021457
white | .010219 -.142521 .003604 .024234 3.4194
lwhitemg | .001013 .011376 -.000216 -.00282 -.334348 .034071
_cons | -.379173 -.925593 -.008032 .463805 1.93342 -.225437 359.913
.
. *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) = 3502.42
Log likelihood = -1108.569 Prob > chi2 = 0.0000
------
lrhomo_cm | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .0544092 .0420237 1.29 0.195 -.0279558 .1367742
lgdp | .9985278 .077709 12.85 0.000 .846221 1.150835
lgdpau | -.5187426 .8804663 -0.59 0.556 -2.244425 1.20694
lgdpdfrati~w | -.4028469 .3597932 -1.12 0.263 -1.108029 .3023348
lpopau | .5015213 3.016417 0.17 0.868 -5.410548 6.413591
lpop | .0339131 .093883 0.36 0.718 -.1500943 .2179205
lxrate1 | -.1707017 .0340634 -5.01 0.000 -.2374647 -.1039386
lremote | .6382384 .2274981 2.81 0.005 .1923504 1.084126
ldist | -1.69473 .3062014 -5.53 0.000 -2.294874 -1.094586
lopen | .375681 .0851128 4.41 0.000 .2088631 .542499
english | 1.452381 .2204385 6.59 0.000 1.02033 1.884433
white | 1.76277 2.070335 0.85 0.395 -2.295012 5.820553
lwhitemg | .1646274 .1742038 0.95 0.345 -.1768057 .5060605
_cons | -4.061619 28.50791 -0.14 0.887 -59.93609 51.81285
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .001766
lgdp | -.001686 .006039
lgdpau | -.002247 .002421 .775221
lgdpdfrati~w | -.000771 .001772 -.010157 .129451
lpopau | .004185 -.010486 -2.598 .037284 9.09877
lpop | .000421 -.0053 -.000964 -.000795 .00104 .008814
lxrate1 | .000075 .001035 .000436 .001611 -.006937 -.001253 .00116
lremote | .001347 -.000898 -.023499 -.01549 .07487 .003175 -.000954
ldist | .004506 -.008156 -.01989 -.007615 .066892 .009268 -.00058
lopen | .000307 -.001477 .006288 .003541 -.032701 .003379 -.000268
english | -.003448 .001959 .007575 .005652 -.012373 -.003894 .001894
white | .00334 -.020922 .072073 -.005816 -.277334 .019621 .000595
lwhitemg | -.000485 .000629 -.007484 -.000754 .030299 6.9e-06 -.000265
_cons | -.040444 .147851 23.1393 -.302322 -83.9561 -.125114 .107771
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .051755
ldist | .021865 .093759
lopen | .002167 -.000562 .007244
english | -.012202 .011893 -.002325 .048593
white | .047722 -.008229 .008754 .024058 4.28629
lwhitemg | -.001385 .004833 -.000517 -.001127 -.351999 .030347
_cons | -1.30229 -1.65445 .345313 .007717 2.50615 -.351047 812.701
.
. **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) = 33671.43
Log likelihood = -908.374 Prob > chi2 = 0.0000
------
lrrefp_lm | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .0221649 .0127458 1.74 0.082 -.0028165 .0471462
lgdp | 1.557459 .0548494 28.40 0.000 1.449956 1.664962
lgdpau | .7953325 .329663 2.41 0.016 .1492049 1.44146
lgdpdfrati~w | -.3026448 .1259341 -2.40 0.016 -.5494711 -.0558185
lpopau | -6.990954 1.116305 -6.26 0.000 -9.178871 -4.803037
lpop | -.1754275 .0936901 -1.87 0.061 -.3590568 .0082017
lxrate1 | -.0537694 .0179373 -3.00 0.003 -.0889258 -.018613
lremote | -.6864008 .1424642 -4.82 0.000 -.9656255 -.4071762
ldist | -2.480177 .1830695 -13.55 0.000 -2.838986 -2.121367
lopen | -.0635342 .0265837 -2.39 0.017 -.1156373 -.0114312
english | 1.192622 .109878 10.85 0.000 .9772654 1.407979
white | 3.635021 .9230093 3.94 0.000 1.825956 5.444086
lwhitemg | -.2797194 .0871119 -3.21 0.001 -.4504556 -.1089831
_cons | 96.55076 10.62921 9.08 0.000 75.7179 117.3836
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .000162
lgdp | -.000181 .003008
lgdpau | -.000797 .001999 .108678
lgdpdfrati~w | -.000281 .000579 -.006526 .015859
lpopau | .002938 -.006992 -.35999 .010031 1.24614
lpop | .000112 -.004783 -.001949 -.000022 .003702 .008778
lxrate1 | -3.4e-06 .000206 -.000084 .00043 -.002348 -.000231 .000322
lremote | -.00005 -.000786 -.012001 -.004129 .043308 .000378 -.000183
ldist | .000716 -.005182 -.004456 .000918 .002408 .010507 .000526
lopen | .000018 -.000131 -.000936 .000751 .003504 .000317 -.000075
english | -.000274 -.000284 .003042 .00238 -.017403 .000547 .000872
white | .00068 -.018076 -.012825 .000419 .021026 .031346 .00119
lwhitemg | -.000104 .000877 -.00019 -.00045 .00268 -.001712 -.000127
_cons | -.032356 .127521 3.26431 .004471 -11.5498 -.144241 .035165
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .020296
ldist | -.001767 .033514
lopen | .001152 .000296 .000707
english | -.00395 .007689 -.000467 .012073
white | .008009 .037564 .001274 .008615 .851946
lwhitemg | .001577 -.002566 -4.5e-07 -.000688 -.077069 .007588
_cons | -.54814 -.28466 -.048933 .16131 -.537388 -.020323 112.98
.
. *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) = 8506.78
Log likelihood = -967.9344 Prob > chi2 = 0.0000
------
lrdiff_lm | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .1848682 .0295428 6.26 0.000 .1269654 .2427711
lgdp | 1.659789 .0715187 23.21 0.000 1.519615 1.799963
lgdpau | -.075266 .6202757 -0.12 0.903 -1.290984 1.140452
lgdpdfrati~w | -.1337447 .256599 -0.52 0.602 -.6366695 .3691801
lpopau | -1.772703 2.167787 -0.82 0.414 -6.021488 2.476082
lpop | -.5350879 .0835689 -6.40 0.000 -.6988799 -.3712959
lxrate1 | -.1278645 .0280488 -4.56 0.000 -.1828392 -.0728899
lremote | -.3815288 .1261252 -3.02 0.002 -.6287297 -.1343278
ldist | -3.361501 .3336314 -10.08 0.000 -4.015406 -2.707595
lopen | .1072943 .053137 2.02 0.043 .0031476 .2114409
english | 1.061784 .1453961 7.30 0.000 .7768126 1.346755
white | 10.50782 1.832005 5.74 0.000 6.917154 14.09848
lwhitemg | -.9282265 .1827546 -5.08 0.000 -1.286419 -.5700342
_cons | 41.12207 20.54038 2.00 0.045 .863666 81.38048
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .000873
lgdp | -.001351 .005115
lgdpau | -.00196 .004221 .384742
lgdpdfrati~w | -.001131 .00236 -.025061 .065843
lpopau | .004867 -.018012 -1.30914 .096891 4.6993
lpop | .000862 -.00449 -.002349 -.001414 .007792 .006984
lxrate1 | .000051 .00036 .00023 .001056 -.005597 -.00063 .000787
lremote | -7.8e-08 -.000357 -.004878 -.000996 .010415 -.001159 .000173
ldist | .00377 .002769 -.010946 -.003258 -.011054 .000065 .001374
lopen | .000183 -.0009 .001027 .001733 -.005548 .001655 -.00028
english | -.001576 .003154 .004492 .004031 -.026097 .001068 .002101
white | .000885 -.027995 .010751 .00237 -.013693 .024327 .004775
lwhitemg | -.00004 .001644 -.002035 -.000606 .005377 -.001629 -.000432
_cons | -.051321 .124058 11.7503 -1.00718 -43.4519 -.067717 .06925
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .015908
ldist | .010325 .11131
lopen | .000481 -.000866 .002824
english | -.004709 -.002227 -.001912 .02114
white | .009078 -.154697 .003985 .025176 3.35624
lwhitemg | .000985 .014024 -.000264 -.002808 -.328833 .033399
_cons | -.257393 -.764548 .063815 .279406 1.54443 -.186424 421.907
.
. *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) = 8545.14
Log likelihood = -1110.221 Prob > chi2 = 0.0000
------
lrhomo_lm | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .0191346 .0152737 1.25 0.210 -.0108012 .0490705
lgdp | 1.274246 .0511373 24.92 0.000 1.174018 1.374473
lgdpau | .5883537 .516155 1.14 0.254 -.4232915 1.599999
lgdpdfrati~w | -.0774212 .1725302 -0.45 0.654 -.4155742 .2607319
lpopau | -5.445369 1.751946 -3.11 0.002 -8.87912 -2.011617
lpop | .1374498 .0743533 1.85 0.065 -.00828 .2831797
lxrate1 | -.0729987 .0206528 -3.53 0.000 -.1134774 -.03252
lremote | -.9837959 .167907 -5.86 0.000 -1.312888 -.6547042
ldist | -3.443491 .2089751 -16.48 0.000 -3.853075 -3.033907
lopen | .0830433 .0425 1.95 0.051 -.0002551 .1663418
english | 2.358431 .1388922 16.98 0.000 2.086207 2.630654
white | 4.2398 1.145855 3.70 0.000 1.993965 6.485635
lwhitemg | -.1926197 .094771 -2.03 0.042 -.3783674 -.006872
_cons | 88.30462 16.75453 5.27 0.000 55.46635 121.1429
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .000233
lgdp | -.000319 .002615
lgdpau | -.000209 .000198 .266416
lgdpdfrati~w | -.000522 .000812 .002141 .029767
lpopau | -.000968 .000385 -.883535 -.005892 3.06932
lpop | .000135 -.003057 -.000706 .000087 -.000173 .005528
lxrate1 | -.000018 .000316 .000429 .000662 -.002983 -.000444 .000427
lremote | .000262 .001036 -.019434 -.000741 .059332 -.000921 -.000076
ldist | .000657 .000623 -.012841 -.000714 .03067 -.00016 .000372
lopen | .000052 -.000287 -.000332 .00214 .001463 .000731 -.00014
english | -.000693 -.000243 .003436 .001845 -.013158 .002457 .001175
white | .000167 -.015659 -.003761 -.001547 .004432 .0278 -.00025
lwhitemg | -9.3e-06 .000868 -.00103 .000237 .003782 -.001811 .000063
_cons | .017922 -.036543 7.96435 .00542 -28.55 .011697 .032689
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .028193
ldist | .018819 .043671
lopen | .001118 .000418 .001806
english | -.004705 .000214 -.001308 .019291
white | .001545 -.007311 .000756 .039152 1.31298
lwhitemg | .001609 .002721 .000022 -.003338 -.105071 .008982
_cons | -.909779 -.771019 -.035096 .124794 -.02289 -.066296 280.714
.
. *IV. Aggregate NON-Manufacturing Imports (Sum of Sitc0,1,2,3,4)
. xtgls lrmnmf limmig lgdp lgdpau lgdpdfrationew lpopau lpop lxrate1 lremo
> te ldist lopen english white lwhitemg, panels(hetero)corr(psar1)nolog
Cross-sectional time-series FGLS regression
Coefficients: generalized least squares
Panels: heteroskedastic
Correlation: panel-specific AR(1)
Estimated covariances = 100 Number of obs = 1000
Estimated autocorrelations = 100 Number of groups = 100
Estimated coefficients = 14 Time periods = 10
Wald chi2(13) = 411.74
Log likelihood = -633.0601 Prob > chi2 = 0.0000
------
lrmnmf | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .4755122 .054086 8.79 0.000 .3695057 .5815187
lgdp | .085273 .0901679 0.95 0.344 -.0914528 .2619989
lgdpau | -.4460065 .7259035 -0.61 0.539 -1.868751 .9767382
lgdpdfrati~w | -.292606 .2506156 -1.17 0.243 -.7838035 .1985916
lpopau | -.1774118 2.473958 -0.07 0.943 -5.026281 4.671457
lpop | .1877214 .1021742 1.84 0.066 -.0125363 .3879791
lxrate1 | -.1086036 .0262363 -4.14 0.000 -.1600259 -.0571813
lremote | .177808 .2478117 0.72 0.473 -.307894 .66351
ldist | -2.075535 .5411348 -3.84 0.000 -3.13614 -1.01493
lopen | .0563652 .0592532 0.95 0.341 -.059769 .1724994
english | .6279358 .2412763 2.60 0.009 .155043 1.100829
white | 11.67656 .993232 11.76 0.000 9.729865 13.62326
lwhitemg | -1.091448 .0989409 -11.03 0.000 -1.285369 -.8975275
_cons | 31.62921 23.69754 1.33 0.182 -14.81711 78.07554
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .002925
lgdp | -.001577 .00813
lgdpau | -.000678 .000275 .526936
lgdpdfrati~w | -.00144 .002862 -.00433 .062808
lpopau | -.001576 -.013154 -1.74264 .012538 6.12047
lpop | -.000104 -.006042 -.001483 -.001179 .009409 .01044
lxrate1 | .000056 .000165 .000519 .001432 -.005282 -.000625 .000688
lremote | .003036 .004908 -.024958 -.007311 .05387 -.004807 .00076
ldist | .010178 -.008831 -.023964 -.002841 .003171 .014557 .001342
lopen | -.000789 .002512 -.002491 -.000473 -.001015 -.000539 8.0e-06
english | .000287 .00017 .005079 .006969 -.031452 .005132 .00104
white | .017612 -.023417 .004117 -.00065 -.046329 .028645 .003667
lwhitemg | -.001697 .000846 -.00199 -.000618 .011092 -.001653 -.00023
_cons | -.062227 .169489 15.5487 -.112958 -56.153 -.238252 .056118
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .061411
ldist | .048405 .292827
lopen | .001446 -.001912 .003511
english | -.007373 .017113 .000202 .058214
white | .020003 -.001747 -.006222 .077808 .98651
lwhitemg | .000525 .004218 .000176 -.006195 -.093073 .009789
_cons | -1.28469 -2.74342 .046618 .161868 .392962 -.152651 561.573
.
. *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) = 3981.96
Log likelihood = -592.2344 Prob > chi2 = 0.0000
------
lrmmfn | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .133713 .0279522 4.78 0.000 .0789277 .1884984
lgdp | .2191285 .0484707 4.52 0.000 .1241276 .3141294
lgdpau | -.0978114 .0542266 -1.80 0.071 -.2040936 .0084708
lgdpdfrati~w | -.1100517 .0362212 -3.04 0.002 -.1810441 -.0390594
lpopau | 2.729105 .2284482 11.95 0.000 2.281354 3.176855
lpop | .8729684 .1010333 8.64 0.000 .6749468 1.07099
lxrate1 | -.0116077 .0070481 -1.65 0.100 -.0254218 .0022064
lremote | .1341607 .0282893 4.74 0.000 .0787147 .1896067
ldist | -3.488898 .3446064 -10.12 0.000 -4.164314 -2.813481
lopen | -.0024719 .0262975 -0.09 0.925 -.0540141 .0490703
english | .58354 .279202 2.09 0.037 .0363142 1.130766
white | 24.27676 3.017987 8.04 0.000 18.36161 30.1919
lwhitemg | -2.2586 .2803109 -8.06 0.000 -2.807999 -1.709201
_cons | -24.12897 4.912596 -4.91 0.000 -33.75748 -14.50046
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .000781
lgdp | -.000413 .002349
lgdpau | -.00055 -.00043 .002941
lgdpdfrati~w | .000261 -.000934 .000606 .001312
lpopau | .00389 .000092 -.010283 .000307 .052189
lpop | -.000241 -.002136 .001234 .000527 -.003952 .010208
lxrate1 | 9.5e-06 .000062 -.000038 .000024 .000509 -.000196 .00005
lremote | -.000252 .000979 -.000492 -.000772 -.00003 -.000688 .000024
ldist | .002907 .000016 -.002601 .000043 .019508 -.002187 -.000051
lopen | -.000293 -.000199 .000227 -.000311 -.003339 .000995 -.000126
english | -.000619 -.000035 .000576 .000142 -.004833 -.000227 .000026
white | .002162 -.005376 .001413 .001919 -.001201 .029629 -.000464
lwhitemg | -.000435 .000198 .000106 -.000096 -.001832 -.003089 .000042
_cons | -.067309 -.016632 .11582 -.004619 -.744115 -.050841 -.005803
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .0008
ldist | -9.3e-06 .118754
lopen | .000143 -.000837 .000692
english | -.000129 .059194 .000011 .077954
white | -.002244 .018208 .001403 .034667 9.10825
lwhitemg | .000117 -.004206 -.000022 -.002856 -.833574 .078574
_cons | -.002835 -1.37772 .047999 -.508352 -.549973 .114703 24.1336
.
.
. **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) = 481.66
Log likelihood = -559.2486 Prob > chi2 = 0.0000
------
lrmsitc0 | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .5064734 .0507356 9.98 0.000 .4070334 .6059134
lgdp | .0070543 .079883 0.09 0.930 -.1495136 .1636222
lgdpau | 1.857805 .784306 2.37 0.018 .3205934 3.395016
lgdpdfrati~w | -.5418319 .2765307 -1.96 0.050 -1.083822 .0001584
lpopau | -8.959615 2.692571 -3.33 0.001 -14.23696 -3.682272
lpop | .2821314 .1009058 2.80 0.005 .0843598 .4799031
lxrate1 | -.1181867 .0261883 -4.51 0.000 -.1695149 -.0668585
lremote | -.0393304 .2519111 -0.16 0.876 -.533067 .4544063
ldist | -1.558825 .3247215 -4.80 0.000 -2.195268 -.9223826
lopen | .0196683 .060529 0.32 0.745 -.0989663 .1383028
english | .0277997 .2369297 0.12 0.907 -.4365739 .4921733
white | 9.025131 1.101414 8.19 0.000 6.8664 11.18386
lwhitemg | -.8073399 .0986224 -8.19 0.000 -1.000636 -.6140436
_cons | 113.4659 25.51754 4.45 0.000 63.45244 163.4793
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .002574
lgdp | -.001442 .006381
lgdpau | .000451 -.000036 .615136
lgdpdfrati~w | -.001237 .001802 -.016031 .076469
lpopau | -.006376 -.007699 -2.05075 .059429 7.24994
lpop | -.000238 -.004811 -.001046 -.000555 .00182 .010182
lxrate1 | .000181 -.000052 .000505 .001045 -.005267 -.000477 .000686
lremote | .002025 .00438 -.023322 -.011452 .064914 -.004198 .000363
ldist | .004963 .002067 -.009694 -.0011 -.017357 .004587 .001412
lopen | -.000491 .001338 -.000838 -.000814 -.008 .000517 .000018
english | -.002595 .002279 .005004 .004928 -.022721 -.000356 .000793
white | .013911 -.027169 .015047 -.004454 -.075789 .030588 .004878
lwhitemg | -.00146 .001383 -.002947 -.000388 .015194 -.001724 -.000443
_cons | .048699 .011559 18.2016 -.562744 -66.7476 -.061026 .062039
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .063459
ldist | .031323 .105444
lopen | .001467 .002953 .003664
english | -.012048 .020843 .00049 .056136
white | .011177 .010639 -.004049 .022975 1.21311
lwhitemg | .001056 -.001227 .000205 -.001212 -.103888 .009726
_cons | -1.34477 -.886772 .081771 .092877 .635859 -.161452 651.145
. 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) = 1325.30
Log likelihood = -318.9976 Prob > chi2 = 0.0000
------
lrmsitc1 | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .0334703 .0168476 1.99 0.047 .0004495 .0664911
lgdp | .2220898 .0547757 4.05 0.000 .1147314 .3294482
lgdpau | -.2585504 .2891548 -0.89 0.371 -.8252834 .3081827
lgdpdfrati~w | -.3457821 .1881552 -1.84 0.066 -.7145594 .0229952
lpopau | 2.324911 1.026998 2.26 0.024 .3120321 4.337789
lpop | .0867324 .0697267 1.24 0.214 -.0499294 .2233942
lxrate1 | -.0760763 .0177603 -4.28 0.000 -.1108859 -.0412668
lremote | -.1550959 .1041772 -1.49 0.137 -.3592795 .0490876
ldist | -1.419905 .1969325 -7.21 0.000 -1.805886 -1.033925
lopen | .0100678 .0245925 0.41 0.682 -.0381327 .0582682
english | 1.895307 .2091921 9.06 0.000 1.485298 2.305316
white | 9.526243 1.757945 5.42 0.000 6.080735 12.97175
lwhitemg | -.7115529 .1808148 -3.94 0.000 -1.065943 -.3571623
_cons | -21.7938 10.38592 -2.10 0.036 -42.14983 -1.437775
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .000284
lgdp | -.000298 .003
lgdpau | .000216 -.001439 .083611
lgdpdfrati~w | -.000484 -.000153 -.000794 .035402
lpopau | -.001008 .005804 -.285481 .019522 1.05472
lpop | .000106 -.002888 .00092 .000725 -.006979 .004862
lxrate1 | -.000015 .000177 .001115 .000707 -.005166 -.000172 .000315
lremote | .000164 .000874 -.00603 -.003174 .020822 -.00053 -.000293
ldist | .000694 .00096 -.001806 -.001388 .000084 .002041 -.000359
lopen | .000023 -.000266 -.000177 .001 -.000664 .00034 -8.6e-06
english | -.000326 -.002162 .003334 .00336 -.010477 .003775 .00022
white | .001446 -.022113 .013647 .002279 -.06874 .02422 .000863
lwhitemg | -.00015 .001254 -.001077 -.000012 .00515 -.001612 -.000068
_cons | .00715 -.094801 2.62449 -.309 -10.2093 .064734 .059434
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .010853
ldist | .000255 .038782
lopen | -.000123 -.000049 .000605
english | -.003957 .011728 .000066 .043761
white | .009181 -.029845 .001523 .067528 3.09037
lwhitemg | -.000403 .001642 -.000085 -.006518 -.313386 .032694
_cons | -.291105 -.379015 .017135 -.009202 1.07347 -.070432 107.867
. 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) = 1084.30
Log likelihood = -850.4931 Prob > chi2 = 0.0000
------
lrmsitc2 | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .1219126 .0643626 1.89 0.058 -.0042358 .2480611
lgdp | .5514054 .109327 5.04 0.000 .3371283 .7656824
lgdpau | -2.19472 1.09322 -2.01 0.045 -4.337391 -.0520482
lgdpdfrati~w | -.9810763 .4375075 -2.24 0.025 -1.838575 -.1235774
lpopau | 4.394555 3.748149 1.17 0.241 -2.951683 11.74079
lpop | .232474 .1272028 1.83 0.068 -.016839 .481787
lxrate1 | -.1707022 .0395044 -4.32 0.000 -.2481293 -.093275
lremote | 1.666455 .2759656 6.04 0.000 1.125572 2.207337
ldist | -1.514403 .4987873 -3.04 0.002 -2.492008 -.5367975
lopen | .0854698 .0920062 0.93 0.353 -.094859 .2657987
english | .3523912 .2580576 1.37 0.172 -.1533923 .8581748
white | 10.64492 1.482676 7.18 0.000 7.738931 13.55091
lwhitemg | -.8226543 .1438158 -5.72 0.000 -1.104528 -.5407805
_cons | -27.49572 35.26108 -0.78 0.436 -96.60617 41.61472
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .004143
lgdp | -.004374 .011952
lgdpau | -.002355 .005753 1.19513
lgdpdfrati~w | -.001657 .00425 .000478 .191413
lpopau | .003879 -.026414 -3.99373 .043561 14.0486
lpop | .001649 -.010429 -.002644 -.00256 .009473 .016181
lxrate1 | .000066 .00159 .000641 .001466 -.008371 -.001547 .001561
lremote | .001724 -.00307 -.033237 -.020939 .082823 .003187 .000857
ldist | .012228 -.01082 -.010799 -.010303 -.006173 .017143 -.002417
lopen | .000521 -.001225 .006442 .000901 -.039472 .003055 -.000539
english | -.005492 .011098 .007301 .00104 -.025937 -.009693 -.000522
white | .027102 -.051448 -.044873 -.038522 .071837 .050349 .004931
lwhitemg | -.002987 .003085 .000325 .00103 .009637 -.002565 -.000758
_cons | -.081284 .324373 35.2196 -.699758 -128.647 -.296566 .119177
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .076157
ldist | .022341 .248789
lopen | .004149 .006023 .008465
english | -.003962 .024827 -.001212 .066594
white | .121391 .128752 .003131 .02251 2.19833
lwhitemg | -.004755 -.01666 -.000136 -.004393 -.203023 .020683
_cons | -1.35716 -2.25232 .377794 -.046161 -2.09168 .021819 1243.34
. 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) = 682.10
Log likelihood = -186.7738 Prob > chi2 = 0.0000
------
lrmsitc3 | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | -.0539815 .0253396 -2.13 0.033 -.1036462 -.0043169
lgdp | .2744198 .0647194 4.24 0.000 .1475721 .4012676
lgdpau | .2763885 .4762452 0.58 0.562 -.6570349 1.209812
lgdpdfrati~w | .2755127 .21289 1.29 0.196 -.1417441 .6927695
lpopau | 2.664312 1.670162 1.60 0.111 -.6091452 5.93777
lpop | .1924277 .0854922 2.25 0.024 .0248661 .3599892
lxrate1 | -.0596673 .0182871 -3.26 0.001 -.0955094 -.0238253
lremote | .0531754 .1258823 0.42 0.673 -.1935494 .2999002
ldist | -2.301699 .4114015 -5.59 0.000 -3.108032 -1.495367
lopen | .083503 .0466525 1.79 0.073 -.0079343 .1749403
english | 1.334051 .1792492 7.44 0.000 .9827293 1.685373
white | 16.29579 1.285528 12.68 0.000 13.7762 18.81538
lwhitemg | -1.343639 .1232347 -10.90 0.000 -1.585175 -1.102104
_cons | -38.8399 16.63937 -2.33 0.020 -71.45246 -6.227345
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .000642
lgdp | -.000736 .004189
lgdpau | -.000677 -.000277 .226809
lgdpdfrati~w | -.000832 .001046 -.001 .045322
lpopau | .000375 .005376 -.759382 .024288 2.78944
lpop | .000132 -.003191 .000722 .000474 -.010616 .007309
lxrate1 | .000051 .000144 .000383 .000576 -.003588 -.00025 .000334
lremote | .001103 .002882 -.00655 -.003211 .017155 -.002731 -.000036
ldist | .003049 -.004741 -.009105 -.009892 -.015125 .008294 -.000355
lopen | .000024 -.000105 -.000386 .000559 -.004167 .000707 -.000034
english | -.000649 -.000527 .003037 .002483 -.007369 .00438 .000121
white | .005898 -.021027 .033459 -.008288 -.309156 .033667 .003811
lwhitemg | -.000467 .001177 -.003343 .000669 .03004 -.002724 -.000385
_cons | -.015874 -.10241 6.78783 -.330422 -26.3327 .056732 .051827
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .015846
ldist | .016592 .169251
lopen | .000037 .000646 .002176
english | -.00487 .003397 .000071 .03213
white | -.008034 -.004717 -.000583 .038009 1.65258
lwhitemg | .000481 .001556 .000056 -.003743 -.1556 .015187
_cons | -.43152 -1.30664 .065054 -.009705 4.26296 -.409583 276.868
. 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) = 249.47
Log likelihood = 156.961 Prob > chi2 = 0.0000
------
lrmsitc4 | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .0104537 .0207435 0.50 0.614 -.0302028 .0511102
lgdp | .2505705 .0517949 4.84 0.000 .1490544 .3520866
lgdpau | -.2928836 .3473913 -0.84 0.399 -.973758 .3879907
lgdpdfrati~w | -.0880404 .1457419 -0.60 0.546 -.3736892 .1976085
lpopau | 4.0284 1.266532 3.18 0.001 1.546043 6.510757
lpop | -.0583704 .0617284 -0.95 0.344 -.1793558 .062615
lxrate1 | -.0971788 .0155235 -6.26 0.000 -.1276043 -.0667532
lremote | .325359 .1292524 2.52 0.012 .072029 .578689
ldist | -1.453921 .2973987 -4.89 0.000 -2.036811 -.8710299
lopen | .028621 .0287817 0.99 0.320 -.0277901 .0850322
english | .1544442 .1685108 0.92 0.359 -.1758309 .4847194
white | 9.598858 2.146013 4.47 0.000 5.39275 13.80497
lwhitemg | -.8068241 .2067042 -3.90 0.000 -1.211957 -.4016914
_cons | -51.91806 13.52564 -3.84 0.000 -78.42783 -25.4083
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .00043
lgdp | -.000406 .002683
lgdpau | .000308 -.00068 .120681
lgdpdfrati~w | -.00045 .000457 -.005978 .021241
lpopau | -.002815 .004033 -.414818 .027568 1.6041
lpop | .000018 -.002279 -.000121 -.000067 .000972 .00381
lxrate1 | 7.8e-06 -.000012 .000526 .000474 -.004546 -.000113 .000241
lremote | .000315 .001784 -.007633 -.001168 .026766 -.001613 -.000074
ldist | .001389 -.001116 -.002905 -.001645 .005337 .004182 -.000072
lopen | -9.0e-06 .000028 .000034 .000181 -.001304 .00016 -.00003
english | -.000606 -.001822 -.000324 .000523 .021618 .004993 .000182
white | .002981 -.016227 .01832 -.005452 -.146657 .016163 .002092
lwhitemg | -.000347 .001049 -.002195 .00053 .015011 -.001274 -.000154
_cons | .030011 -.075825 3.82935 -.305611 -16.1205 -.048033 .063421
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .016706
ldist | .007632 .088446
lopen | .000121 -.0005 .000828
english | -.000947 .018324 -.00033 .028396
white | -.000894 .012195 -.000975 .033455 4.60537
lwhitemg | .000734 -.002157 .000114 -.00301 -.436696 .042727
_cons | -.476595 -.974526 .021817 -.559234 1.92576 -.178567 182.943
. 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) = 449.33
Log likelihood = -668.5142 Prob > chi2 = 0.0000
------
lrmsitc5 | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .1554374 .0530249 2.93 0.003 .0515106 .2593643
lgdp | .7662769 .1054232 7.27 0.000 .5596513 .9729026
lgdpau | -.6286914 .6815229 -0.92 0.356 -1.964452 .707069
lgdpdfrati~w | -.2592288 .2776824 -0.93 0.351 -.8034763 .2850187
lpopau | 3.554969 2.349569 1.51 0.130 -1.050102 8.16004
lpop | -.3873856 .1432084 -2.71 0.007 -.668069 -.1067022
lxrate1 | -.1404424 .0318215 -4.41 0.000 -.2028115 -.0780733
lremote | .134299 .2382985 0.56 0.573 -.3327575 .6013556
ldist | -3.457306 .6793987 -5.09 0.000 -4.788903 -2.125709
lopen | .0110595 .0653519 0.17 0.866 -.117028 .1391469
english | -.5441771 .4172706 -1.30 0.192 -1.362012 .2736583
white | 20.83317 4.193373 4.97 0.000 12.6143 29.05203
lwhitemg | -1.849991 .3837032 -4.82 0.000 -2.602035 -1.097946
_cons | -19.03756 23.12627 -0.82 0.410 -64.36421 26.28909
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .002812
lgdp | -.002411 .011114
lgdpau | .001561 -.001688 .464473
lgdpdfrati~w | -.00163 .003166 -.012145 .077108
lpopau | -.010644 .00149 -1.54744 .062717 5.52048
lpop | .00001 -.007951 -.001101 -.00177 -.006655 .020509
lxrate1 | .000183 .000437 .001969 .001246 -.010629 -.0007 .001013
lremote | .000941 .004562 -.020244 -.012413 .040449 -.003056 .000433
ldist | .010245 .013808 -.004999 -.003676 -.051571 -.001069 .00008
lopen | .000479 -.001019 -.00072 -.000017 -.011599 .00181 -.00018
english | -.006417 .004263 .000899 .005123 -.006155 .012688 .000384
white | .007315 -.033636 .122463 .008141 -.378293 .068649 .005018
lwhitemg | -.001233 .001226 -.012885 -.002108 .042614 -.004949 -.000576
_cons | .072489 -.270219 13.7618 -.696988 -50.7716 .032661 .115302
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .056786
ldist | .031661 .461583
lopen | .000699 .003038 .004271
english | -.004395 .116811 -.001743 .174115
white | .030652 .224221 .003606 .273535 17.5844
lwhitemg | -.000234 -.035512 -.000216 -.029691 -1.58255 .147228
_cons | -.988487 -4.05623 .172378 -1.30783 .174383 .040225 534.824
. 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) = 926.59
Log likelihood = -581.2654 Prob > chi2 = 0.0000
------
lrmsitc6 | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .1994904 .0519004 3.84 0.000 .0977674 .3012133
lgdp | .6403081 .1073583 5.96 0.000 .4298897 .8507265
lgdpau | .7885855 .6715288 1.17 0.240 -.5275868 2.104758
lgdpdfrati~w | -.0277817 .2945925 -0.09 0.925 -.6051723 .549609
lpopau | -3.314338 2.322596 -1.43 0.154 -7.866544 1.237867
lpop | .4516591 .1345891 3.36 0.001 .1878693 .7154489
lxrate1 | -.1057668 .031175 -3.39 0.001 -.1668687 -.044665
lremote | -.2836452 .232051 -1.22 0.222 -.7384567 .1711664
ldist | -2.293081 .4526348 -5.07 0.000 -3.180228 -1.405933
lopen | -.1478844 .0883823 -1.67 0.094 -.3211106 .0253417
english | 1.208552 .3324702 3.64 0.000 .5569223 1.860181
white | 24.13006 3.05477 7.90 0.000 18.14282 30.1173
lwhitemg | -2.327581 .2713234 -8.58 0.000 -2.859365 -1.795796
_cons | 40.07344 22.37896 1.79 0.073 -3.788512 83.9354
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .002694
lgdp | -.002447 .011526
lgdpau | -.002677 .005717 .450951
lgdpdfrati~w | -.00189 .003293 -.00494 .086785
lpopau | .008532 -.037649 -1.50756 .019671 5.39445
lpop | .000559 -.009617 -.00387 -.002689 .018102 .018114
lxrate1 | .000116 .00065 .000561 .001402 -.005703 -.000883 .000972
lremote | .000764 .003535 -.018639 -.018895 .039942 -.002358 .000431
ldist | .00885 -.003862 -.010639 -.003022 .006982 .014922 .000262
lopen | .000317 -.000201 .001117 .002507 -.022171 .002038 -.00014
english | -.004319 .004592 .007387 .006809 -.029795 -.002731 .000507
white | .008785 -.040546 .015513 -.016673 -.005794 .065304 .005575
lwhitemg | -.001182 .001562 -.003268 -.000204 .010839 -.00441 -.000586
_cons | -.127666 .380261 13.391 -.114669 -49.866 -.387252 .067854
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .053848
ldist | .008215 .204878
lopen | .001975 .001598 .007811
english | -.009108 .052561 -.002245 .110536
white | .036395 .018407 .005802 -.00906 9.33162
lwhitemg | -.000516 -.005349 -.000624 .002288 -.813614 .073616
_cons | -.749352 -2.06201 .280165 -.194881 -.995522 .00445 500.818
. 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) = 1678.88
Log likelihood = -755.207 Prob > chi2 = 0.0000
------
lrmsitc7 | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .0419757 .0315805 1.33 0.184 -.019921 .1038724
lgdp | 1.086077 .0994258 10.92 0.000 .8912057 1.280948
lgdpau | .752447 .7156579 1.05 0.293 -.6502168 2.155111
lgdpdfrati~w | -.0781666 .2760038 -0.28 0.777 -.6191242 .462791
lpopau | 3.382992 2.489114 1.36 0.174 -1.495581 8.261566
lpop | -.5359202 .1442045 -3.72 0.000 -.8185559 -.2532845
lxrate1 | -.1467898 .0244714 -6.00 0.000 -.1947529 -.0988267
lremote | -.3936693 .1976783 -1.99 0.046 -.7811117 -.0062269
ldist | -1.989935 .7311585 -2.72 0.006 -3.42298 -.5568911
lopen | .0173013 .0753035 0.23 0.818 -.1302909 .1648934
english | .1058436 .3356654 0.32 0.753 -.5520485 .7637356
white | 28.21606 2.650149 10.65 0.000 23.02187 33.41026
lwhitemg | -2.634174 .2577425 -10.22 0.000 -3.13934 -2.129008
_cons | -66.63312 24.82901 -2.68 0.007 -115.2971 -17.96916
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .000997
lgdp | -.001769 .009885
lgdpau | .00046 -.001 .512166
lgdpdfrati~w | -.00184 .003577 -.015784 .076178
lpopau | -.007783 -.005279 -1.71005 .059829 6.19569
lpop | .001605 -.011882 -.00181 -.002711 .021884 .020795
lxrate1 | .000018 .000448 .000977 .000917 -.010102 -.000842 .000599
lremote | .001003 .005416 -.019917 -.003381 .022792 -.005159 .000346
ldist | .004931 .019344 -.025473 -.002409 -.052645 -.000191 .001253
lopen | .000259 -.000522 -.002698 .005837 -.000025 .001019 -.000294
english | -.001198 .004206 .002274 .003282 -.01038 -.000906 .001169
white | .015575 -.056541 .050413 -.027364 -.437083 .070444 .009266
lwhitemg | -.001382 .00372 -.006138 .002143 .049038 -.005003 -.000901
_cons | .072953 -.150855 15.4071 -.632453 -57.8443 -.329261 .126394
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .039077
ldist | .068958 .534593
lopen | .001687 .002968 .005671
english | .002845 .075432 -.001455 .112671
white | .030464 .056512 -.009536 .205015 7.02329
lwhitemg | -.002058 -.013419 .001121 -.023135 -.672786 .066431
_cons | -.899599 -4.63936 .02197 -.726612 5.18125 -.501719 616.48
. 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) = 442.52
Log likelihood = -581.3281 Prob > chi2 = 0.0000
------
lrmsitc8 | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .3135453 .0587122 5.34 0.000 .1984716 .428619
lgdp | .3159918 .1033788 3.06 0.002 .113373 .5186106
lgdpau | 1.050778 .7624824 1.38 0.168 -.4436604 2.545216
lgdpdfrati~w | -.5846141 .3277412 -1.78 0.074 -1.226975 .0577469
lpopau | -4.058718 2.636269 -1.54 0.124 -9.225711 1.108275
lpop | .3144722 .1065404 2.95 0.003 .1056569 .5232875
lxrate1 | -.1167353 .0320307 -3.64 0.000 -.1795144 -.0539562
lremote | .0096475 .220924 0.04 0.965 -.4233555 .4426506
ldist | -1.458144 .5777488 -2.52 0.012 -2.590511 -.3257771
lopen | .0375856 .086362 0.44 0.663 -.1316808 .206852
english | .1567296 .2636587 0.59 0.552 -.360032 .6734912
white | 18.95496 2.135762 8.88 0.000 14.76895 23.14098
lwhitemg | -1.762819 .1985296 -8.88 0.000 -2.15193 -1.373708
_cons | 44.81183 24.9442 1.80 0.072 -4.077898 93.70155
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .003447
lgdp | -.003734 .010687
lgdpau | -.002895 .007043 .581379
lgdpdfrati~w | -.002744 .005538 -.009524 .107414
lpopau | .008812 -.036406 -1.94699 .054807 6.94992
lpop | .001566 -.006705 -.003994 -.003974 .007451 .011351
lxrate1 | .000119 .00032 -.00026 .000608 -.002203 -.000415 .001026
lremote | .000135 .002552 -.008382 -.017644 -.006654 .001787 .000995
ldist | .011064 .001819 -.006592 -.012845 -.068058 .007264 .000775
lopen | -.000236 .000302 .003083 .000264 -.031631 .002754 -.000318
english | -.003826 .009557 .006455 .003249 -.034045 -.001984 -.000458
white | .026353 -.043512 -.006373 -.067982 .090302 .019427 .001524
lwhitemg | -.00272 .002464 -.000954 .004199 .000567 -.00074 -.000386
_cons | -.136375 .258938 17.1153 -.538091 -62.9575 -.135269 .023067
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .048807
ldist | .040745 .333794
lopen | .003048 .004414 .007458
english | .008536 .081721 -.000741 .069516
white | .105648 .194288 -.008592 .105486 4.56148
lwhitemg | -.007493 -.028437 .000983 -.013875 -.41538 .039414
_cons | -.561081 -2.4508 .333099 -.634075 -3.58657 .326839 622.213
. 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) = 1498.10
Log likelihood = -257.2917 Prob > chi2 = 0.0000
------
lrmsitc9 | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .0015058 .0244823 0.06 0.951 -.0464786 .0494902
lgdp | .4066861 .0838295 4.85 0.000 .2423833 .570989
lgdpau | -.3490373 .5282886 -0.66 0.509 -1.384464 .6863893
lgdpdfrati~w | .1884773 .2317478 0.81 0.416 -.26574 .6426947
lpopau | 1.200809 1.820555 0.66 0.510 -2.367413 4.769032
lpop | -.1799216 .1194066 -1.51 0.132 -.4139543 .054111
lxrate1 | -.0360143 .0233239 -1.54 0.123 -.0817284 .0096998
lremote | -.0264942 .17868 -0.15 0.882 -.3767005 .3237121
ldist | -3.844201 .5330014 -7.21 0.000 -4.888864 -2.799537
lopen | .0285582 .0519221 0.55 0.582 -.0732073 .1303236
english | .0101212 .3037249 0.03 0.973 -.5851688 .6054111
white | 16.1425 2.727615 5.92 0.000 10.79647 21.48853
lwhitemg | -1.153288 .2941746 -3.92 0.000 -1.729859 -.576716
_cons | 21.04233 18.19328 1.16 0.247 -14.61584 56.70051
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .000599
lgdp | -.000777 .007027
lgdpau | .000133 -.001849 .279089
lgdpdfrati~w | -.000993 .00269 -.011046 .053707
lpopau | -.001458 -.000566 -.93167 .054475 3.31442
lpop | .000259 -.00656 -.000221 -.00106 -.001731 .014258
lxrate1 | -.00002 .000173 .001361 .001099 -.006705 -.000517 .000544
lremote | .000109 .00263 -.01899 -.004108 .055268 -.002875 -.000177
ldist | .002228 .004749 -.013109 -.001711 -.005291 .016313 -.000511
lopen | .000043 -.000033 -.002102 .001105 .00223 .000825 -.00004
english | -.001295 .001403 .001265 .002018 -.001883 .003345 .000607
white | .00477 -.037058 .049838 -.010056 -.311834 .062167 .002315
lwhitemg | -.000504 .001563 -.006293 .000126 .038811 -.004871 -.000058
_cons | .010212 -.062428 8.4735 -.660102 -30.9729 -.171505 .082726
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .031927
ldist | .017261 .28409
lopen | .000259 .0012 .002696
english | .000861 .065568 .000133 .092249
white | -.005748 .141529 -.002191 .097124 7.43988
lwhitemg | .003346 -.018666 .000248 -.009932 -.792339 .086539
_cons | -.873458 -2.82243 -.007549 -.732631 2.38055 -.286071 330.995
.
. clear
. insheet using k:\book1.txt
(104 vars, 1010 obs)
. *Dropping Belgium
. drop if ccode==530560
(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 486767.5 1561922 7348 0 1.39e+07
immig | 1000 33414.14 117051.2 2790 0 1137050
gdp | 1000 2.76e+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 105.5511 16.8746 102.6185 60.87417 207.3465
gdpdfau | 1000 100.7173 4.633489 100.8223 94.42464 109.9797
pop | 1000 4.95e+07 1.54e+08 1.04e+07 41000 1.26e+09
popau | 1000 1.82e+07 612793.8 1.82e+07 1.73e+07 1.92e+07
xrate1 | 1000 1042.87 10901.73 13.89535 .0068 270182.6
remote | 1000 6791.525 4110.85 6797 1530 39620
dist | 1000 13336.69 3516.974 14215 2409 17972
open | 1000 .7017843 .3843546 .63155 .0671 3.2192
english | 1000 .38 .4856293 0 0 1
gdpdfratio~w | 1000 1.05103 .1808446 1.011523 .5844526 2.009028
white | 1000 .13 .3364717 0 0 1
whitemg | 1000 20501.65 116468.1 0 0 1137050
------
.
. sort white
. *IIIB. Descriptives Original Unites(sub sample for "white" and "non-white" cou
> ntries)--RHS Variables:
. by white: tabstat rimp immig gdp gdpau gdpdefnew gdpdfau pop popau xrate1 remo
> te dist phone open english gdpdfrationew white whitemg, stat(n mean sd median
> min max) col(stat)
------
-> white = 0
variable | N mean sd p50 min max
------+------
rimp | 870 399854.8 1598131 2944.5 0 1.39e+07
immig | 870 14841.93 27150.39 1403.5 0 158613
gdp | 870 2.34e+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 | 870 104.6566 17.219 101.4003 60.87417 207.3465
gdpdfau | 870 100.7173 4.633836 100.8223 94.42464 109.9797
pop | 870 5.34e+07 1.65e+08 1.07e+07 41000 1.26e+09
popau | 870 1.82e+07 612839.6 1.82e+07 1.73e+07 1.92e+07
xrate1 | 870 1182.708 11681.76 19.96485 .0068 270182.6
remote | 870 7225.693 4069.167 6955 1754 39620
dist | 870 13162.17 3401.716 14040 2410 17972
phone | 870 152.6226 237.0514 47.025 .54 1449.75
open | 870 .7082366 .4054899 .6248 .0671 3.2192
english | 870 .3908046 .4882114 0 0 1
gdpdfratio~w | 870 1.042372 .1856229 1 .5844526 2.009028