------
log: K:\Roger-Australia\Robustness-1\Morocco-Niger_Exports.log
opened on: 18 Aug 2006, 18:37:19
. clear
. *Estimating the Australian Immigration Trade relationship;
. insheet using k:\book2.txt
(54 vars, 11640 obs)
. drop if ccode ==.
(10630 observations deleted)
.
. **Droping Morocco
. drop if ccode==165080
(10 observations deleted)
.
. ** Estimation Results
. **Regression of Exports without Distinction between "white" and "non-white Aus
> tralia"
. tsset ccode year
panel variable: ccode, 117100 to 725980
time variable: year, 1991 to 2000
.
. **I. Aggregate Exports
. xtgls lrexp limmig lgdp lgdpau lgdpdfrationew lpopau lpop lxrate1 lr
> emote 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) = 7076.02
Log likelihood = -1001.399 Prob > chi2 = 0.0000
------
lrexp | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .5356588 .0382857 13.99 0.000 .4606202 .6106975
lgdp | 1.062083 .0370505 28.67 0.000 .9894658 1.134701
lgdpau | -3.256085 .8623952 -3.78 0.000 -4.946348 -1.565821
lgdpdfrati~w | -1.803533 .3313688 -5.44 0.000 -2.453004 -1.154062
lpopau | 4.053654 3.008119 1.35 0.178 -1.84215 9.949458
lpop | .0034682 .0423472 0.08 0.935 -.0795309 .0864672
lxrate1 | .0062162 .0147277 0.42 0.673 -.0226495 .035082
lremote | .156653 .0844024 1.86 0.063 -.0087725 .3220786
ldist | -1.369116 .1404015 -9.75 0.000 -1.644298 -1.093934
lopen | .9113711 .0770876 11.82 0.000 .7602821 1.06246
english | .1831264 .0922744 1.98 0.047 .0022719 .3639809
white | 3.34819 .5894997 5.68 0.000 2.192792 4.503589
lwhitemg | -.4038082 .0530418 -7.61 0.000 -.5077683 -.2998481
_cons | 12.21402 27.8921 0.44 0.661 -42.45348 66.88153
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .001466
lgdp | -.000826 .001373
lgdpau | -.003101 .002478 .743725
lgdpdfrati~w | .000791 -.001026 -.023779 .109805
lpopau | .011737 -.009965 -2.55407 .130738 9.04878
lpop | .000055 -.000711 .001021 -.000099 -.007639 .001793
lxrate1 | -9.9e-06 .000193 .000021 -.000069 -.000319 -.000075 .000217
lremote | -.00036 .001098 .004428 -.002441 -.024272 .000217 .000053
ldist | .003534 -.002229 -.004957 .004201 .010187 .002138 .00039
lopen | -.000552 .000296 .010057 -.001048 -.054941 .001013 -.000066
english | -.00077 .001373 -.002699 .00059 .017799 -.001024 .00046
white | .007082 -.001627 -.003972 -.008931 -.01153 .010243 .001428
lwhitemg | -.000799 .000205 .000554 .000448 .000384 -.000925 -.000118
_cons | -.138298 .097157 22.8531 -1.66162 -82.9474 .066494 -.003544
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .007124
ldist | .002034 .019713
lopen | .002307 .000911 .005943
english | .000139 .000796 -.002992 .008515
white | .017088 .033388 .000989 .001722 .34751
lwhitemg | -.001216 -.003401 -.000105 .000127 -.030821 .002813
_cons | .181369 -.258937 .607985 -.251925 -.365147 .039602 777.969
. **II. Conservative Estimates
. *2.1. Aggregate reference priced Exports (conservative)
. xtgls lrrefp_cx 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) = 7336.57
Log likelihood = -1429.605 Prob > chi2 = 0.0000
------
lrrefp_cx | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .3507119 .0461828 7.59 0.000 .2601952 .4412286
lgdp | 1.071399 .06654 16.10 0.000 .940983 1.201815
lgdpau | -.3517877 .4986209 -0.71 0.480 -1.329067 .6254913
lgdpdfrati~w | -.2342285 .2971955 -0.79 0.431 -.8167208 .3482639
lpopau | 3.004761 1.79519 1.67 0.094 -.5137473 6.523269
lpop | .0463321 .0932002 0.50 0.619 -.136337 .2290012
lxrate1 | -.0426919 .0296326 -1.44 0.150 -.1007707 .0153869
lremote | -.2677854 .1641657 -1.63 0.103 -.5895442 .0539734
ldist | -3.123938 .3849127 -8.12 0.000 -3.878353 -2.369523
lopen | -.0696638 .0539869 -1.29 0.197 -.1754762 .0361486
english | .5424317 .1778522 3.05 0.002 .1938478 .8910156
white | 7.683936 1.093582 7.03 0.000 5.540554 9.827319
lwhitemg | -.838145 .116892 -7.17 0.000 -1.067249 -.6090408
_cons | -30.72852 18.08775 -1.70 0.089 -66.17986 4.722827
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .002133
lgdp | -.001607 .004428
lgdpau | .001142 -.001325 .248623
lgdpdfrati~w | -.001975 .003179 -.023836 .088325
lpopau | -.005202 .003736 -.862184 .106717 3.22271
lpop | -.000118 -.004654 .00341 -.001322 -.018208 .008686
lxrate1 | .000117 .000383 .000587 .002603 -.006063 -.000544 .000878
lremote | .000085 .000209 -.02132 .002441 .089693 -.003318 .000605
ldist | .009185 -.010744 .004076 .001454 -.028459 .00518 .00196
lopen | .00006 -.000237 .002461 .001108 -.011415 .001107 -.000363
english | -.001124 -.00132 .005738 .004329 -.04196 .002822 .001591
white | .010714 -.025128 .021091 -.004388 -.144849 .031319 .001628
lwhitemg | -.001552 .001982 -.004422 .000647 .022029 -.002003 -.000118
_cons | -.003448 .050576 7.92405 -1.32217 -31.2281 .164747 .054628
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .02695
ldist | .003138 .148158
lopen | -.002017 .000931 .002915
english | -.004459 -.000714 -.000705 .031631
white | -.010655 .055513 .002598 .037361 1.19592
lwhitemg | .003989 -.006999 -.000597 -.001691 -.122548 .013664
_cons | -1.15495 -.972 .123336 .560441 1.41203 -.222736 327.167
. *2.2. Aggregate Differentiated Exports (conservative)
. xtgls lrdiff_cx 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) = 3614.27
Log likelihood = -1544.041 Prob > chi2 = 0.0000
------
lrdiff_cx | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .4619457 .0541323 8.53 0.000 .3558485 .568043
lgdp | 1.092972 .0629301 17.37 0.000 .9696311 1.216313
lgdpau | 2.217268 2.037553 1.09 0.277 -1.776262 6.210798
lgdpdfrati~w | -2.273722 .820481 -2.77 0.006 -3.881835 -.6656084
lpopau | -8.267166 7.015073 -1.18 0.239 -22.01646 5.482124
lpop | -.1736636 .0797071 -2.18 0.029 -.3298866 -.0174406
lxrate1 | -.063009 .028053 -2.25 0.025 -.1179919 -.0080262
lremote | .0453569 .1996761 0.23 0.820 -.3460011 .4367149
ldist | -2.262916 .2318387 -9.76 0.000 -2.717312 -1.808521
lopen | .0955195 .0910356 1.05 0.294 -.0829071 .2739461
english | .6838164 .1819741 3.76 0.000 .3271537 1.040479
white | 2.757041 1.162095 2.37 0.018 .4793766 5.034706
lwhitemg | -.2677037 .1056353 -2.53 0.011 -.474745 -.0606624
_cons | 82.69182 64.55502 1.28 0.200 -43.8337 209.2173
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .00293
lgdp | -.002032 .00396
lgdpau | -.002732 .005586 4.15162
lgdpdfrati~w | -.003676 .001535 -.206524 .673189
lpopau | .009232 -.027282 -14.0818 .966893 49.2112
lpop | .000211 -.003376 -.00092 .001396 .006195 .006353
lxrate1 | .00019 .000493 .000875 -.000583 -.007019 -.000857 .000787
lremote | .004138 -.00254 .002955 -.007928 -.030069 -.000272 .00098
ldist | .006467 -.005866 -.006681 .011358 .016607 .002598 .002799
lopen | -.000408 .000752 .015117 .002902 -.077781 .001199 -.000144
english | -.003123 .002554 -.000034 .010571 .009953 -.003424 .001297
white | .020154 -.018891 .039109 -.126442 -.177534 .008559 .002328
lwhitemg | -.001827 .001253 -.003282 .010803 .014582 -.00008 -.000129
_cons | -.152346 .35673 124.856 -11.4071 -447.582 -.123664 .056865
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .039871
ldist | .021085 .053749
lopen | .004005 .000492 .008287
english | -.014413 .002095 -.00336 .033115
white | .081557 .025866 -.002773 -.015523 1.35047
lwhitemg | -.004888 -.000186 .000379 .001375 -.119414 .011159
_cons | -.08066 -.766316 .826119 -.070743 1.22937 -.13613 4167.35
. *2.3. Aggregate Homogenous Exports (conservative)
. xtgls lrhomo_cx 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) = 1887.72
Log likelihood = -1603.224 Prob > chi2 = 0.0000
------
lrhomo_cx | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .4633102 .0538382 8.61 0.000 .3577892 .5688311
lgdp | .9241267 .0973436 9.49 0.000 .7333368 1.114917
lgdpau | -.0181797 1.114298 -0.02 0.987 -2.202163 2.165804
lgdpdfrati~w | -.3415769 .4698039 -0.73 0.467 -1.262376 .5792219
lpopau | -6.683844 3.811936 -1.75 0.080 -14.1551 .7874139
lpop | .185151 .1080118 1.71 0.086 -.0265483 .3968503
lxrate1 | .0654283 .037357 1.75 0.080 -.00779 .1386466
lremote | -1.169847 .2337491 -5.00 0.000 -1.627986 -.711707
ldist | -1.606777 .5032517 -3.19 0.001 -2.593132 -.620422
lopen | .0555006 .0972575 0.57 0.568 -.1351207 .2461218
english | .9882007 .2990089 3.30 0.001 .402154 1.574247
white | 13.44182 2.631616 5.11 0.000 8.283942 18.59969
lwhitemg | -1.566954 .2814365 -5.57 0.000 -2.11856 -1.015349
_cons | 115.55 35.89162 3.22 0.001 45.20372 185.8963
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .002899
lgdp | -.003126 .009476
lgdpau | .006222 -.011251 1.24166
lgdpdfrati~w | -.003719 .007847 -.060799 .220716
lpopau | -.023668 .024704 -4.12366 .299456 14.5309
lpop | .000361 -.005851 .000258 -.003057 .000675 .011667
lxrate1 | -.000113 .00117 .002992 .002724 -.019406 -.001446 .001396
lremote | .000332 .008665 -.037441 .012282 .100765 -.006706 .000564
ldist | .015117 -.011364 .024687 -.006283 -.151422 .013476 .002081
lopen | -.000029 -.001069 -.020818 .006796 .050633 .002194 -.000274
english | -.002601 .00404 .016872 .004785 -.080626 .004941 .002842
white | .011456 -.026558 .101438 -.015395 -.431859 .034816 .003406
lwhitemg | -.001314 .001824 -.011309 .00171 .048116 -.002902 -.000194
_cons | .135352 -.197123 36.1648 -3.76967 -132.993 -.134911 .208045
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .054639
ldist | .026449 .253262
lopen | .001702 -.001867 .009459
english | -.014436 .014726 -.003691 .089406
white | -.014879 .060177 -.001 .124345 6.92541
lwhitemg | .00329 -.008136 .000465 -.012964 -.73548 .079206
_cons | -1.51277 -.818792 -.299064 .690492 4.01119 -.438648 1288.21
. **III. Liberal Estimates
. *3.1. Aggregate reference priced Exports (liberal)
. xtgls lrrefp_lx 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) = 2015.56
Log likelihood = -1438.025 Prob > chi2 = 0.0000
------
lrrefp_lx | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .3371369 .047143 7.15 0.000 .2447383 .4295356
lgdp | .9794819 .0859278 11.40 0.000 .8110665 1.147897
lgdpau | -.1109437 .5146907 -0.22 0.829 -1.119719 .8978314
lgdpdfrati~w | .0501834 .266815 0.19 0.851 -.4727644 .5731313
lpopau | -3.225402 1.817153 -1.77 0.076 -6.786956 .3361532
lpop | .1199895 .1010484 1.19 0.235 -.0780617 .3180406
lxrate1 | -.0021652 .0291823 -0.07 0.941 -.0593615 .0550311
lremote | -.229693 .1607289 -1.43 0.153 -.5447158 .0853298
ldist | -2.316154 .4772049 -4.85 0.000 -3.251458 -1.380849
lopen | .015025 .0535435 0.28 0.779 -.0899183 .1199683
english | 1.018321 .2549136 3.99 0.000 .5186998 1.517943
white | 10.86763 2.096463 5.18 0.000 6.758638 14.97662
lwhitemg | -1.09045 .2049778 -5.32 0.000 -1.492199 -.688701
_cons | 58.64296 18.21939 3.22 0.001 22.9336 94.35231
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .002222
lgdp | -.002517 .007384
lgdpau | .00159 -.003849 .264906
lgdpdfrati~w | -.001873 .004268 -.026414 .07119
lpopau | -.007878 .013027 -.908422 .116825 3.30205
lpop | .000759 -.006021 .004246 -.003311 -.022364 .010211
lxrate1 | .000116 .000137 .001585 .001744 -.008051 -.000365 .000852
lremote | .000457 .000852 -.021078 .003093 .078782 -.003199 .000094
ldist | .006321 -.008078 -.00097 .000394 -.017534 .008178 .002286
lopen | .000015 -.00017 .002002 .001119 -.009293 .000882 -.000215
english | -.002456 .002376 .006777 .004851 -.025809 .000281 .002003
white | .010185 -.03163 .02493 -.003376 -.138707 .033512 .011354
lwhitemg | -.001186 .002104 -.003771 .000345 .018881 -.002072 -.001018
_cons | .059904 -.110502 8.34769 -1.39369 -31.4722 .185427 .065711
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .025834
ldist | .011028 .227725
lopen | -.00138 -.00084 .002867
english | -.005905 .031955 -.000899 .064981
white | .032008 -.183203 -.004512 .006906 4.39516
lwhitemg | -.001032 .018993 .000216 .000957 -.425312 .042016
_cons | -1.06075 -1.95867 .113327 -.081399 3.19642 -.392014 331.946
. *3.2. Aggregate Differentiated Exports (liberal)
. xtgls lrdiff_lx 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) = 3430.33
Log likelihood = -1561.01 Prob > chi2 = 0.0000
------
lrdiff_lx | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .4211067 .0570304 7.38 0.000 .3093292 .5328842
lgdp | 1.193039 .0690863 17.27 0.000 1.057632 1.328445
lgdpau | 1.963327 2.116184 0.93 0.354 -2.184318 6.110971
lgdpdfrati~w | -2.440574 .8232651 -2.96 0.003 -4.054144 -.8270041
lpopau | -7.643908 7.283607 -1.05 0.294 -21.91952 6.6317
lpop | -.2860741 .0813745 -3.52 0.000 -.4455653 -.126583
lxrate1 | -.0241237 .0282407 -0.85 0.393 -.0794745 .0312272
lremote | .1677399 .1939814 0.86 0.387 -.2124567 .5479364
ldist | -2.232707 .2307812 -9.67 0.000 -2.68503 -1.780384
lopen | .1158675 .0990043 1.17 0.242 -.0781773 .3099123
english | .8271688 .1973839 4.19 0.000 .4403035 1.214034
white | 3.021291 1.175335 2.57 0.010 .7176772 5.324905
lwhitemg | -.2810404 .1070765 -2.62 0.009 -.4909064 -.0711744
_cons | 77.32011 67.01327 1.15 0.249 -54.02349 208.6637
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .003252
lgdp | -.002592 .004773
lgdpau | -.003576 .006552 4.47824
lgdpdfrati~w | -.003892 .002627 -.212863 .677765
lpopau | .013089 -.032202 -15.1838 .973234 53.0509