------
log: K:\SriLanka to India.log
opened on: 26 Jul 2006, 08:30:26
.
. *Dropping Sri Lanka
. drop if ccode==537240
(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 490838.8 1561291 7348 0 1.39e+07
immig | 1000 33007.77 117078.5 2790 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 105.6963 16.93857 102.8924 60.87417 207.3465
gdpdfau | 1000 100.7173 4.633489 100.8223 94.42464 109.9797
pop | 1000 4.94e+07 1.54e+08 1.02e+07 41000 1.26e+09
popau | 1000 1.82e+07 612793.8 1.82e+07 1.73e+07 1.92e+07
xrate1 | 1000 1042.739 10901.74 13.89535 .0068 270182.6
remote | 1000 6719.902 4142.2 6764 1293 39620
dist | 1000 13417.98 3498.791 14305 2409 17972
open | 1000 .7071026 .3897297 .63155 .0671 3.2192
english | 1000 .37 .4830459 0 0 1
gdpdfratio~w | 1000 1.052438 .181207 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 404534.5 1597676 2944.5 0 1.39e+07
immig | 870 14374.84 26964.38 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 | 870 104.8234 17.2996 101.7094 60.87417 207.3465
gdpdfau | 870 100.7173 4.633836 100.8223 94.42464 109.9797
pop | 870 5.33e+07 1.65e+08 1.03e+07 41000 1.26e+09
popau | 870 1.82e+07 612839.6 1.82e+07 1.73e+07 1.92e+07
xrate1 | 870 1182.557 11681.78 19.96485 .0068 270182.6
remote | 870 7143.368 4114.151 6927 1293 39620
dist | 870 13255.61 3384.751 14051 2410 17972
phone | 870 159.0866 241.9771 49.66 .54 1449.75
open | 870 .7143495 .4112437 .6248 .0671 3.2192
english | 870 .3793103 .4854945 0 0 1
gdpdfratio~w | 870 1.04399 .1861032 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) = 8442.07
Log likelihood = -551.4934 Prob > chi2 = 0.0000
------
lrimp | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .3115656 .030962 10.06 0.000 .2508811 .37225
lgdp | 1.211982 .034052 35.59 0.000 1.145242 1.278723
lgdpau | .2298306 .6023936 0.38 0.703 -.9508393 1.4105
lgdpdfrati~w | -.8880702 .243749 -3.64 0.000 -1.365809 -.410331
lpopau | -2.777716 2.07754 -1.34 0.181 -6.84962 1.294188
lpop | .0173539 .0411604 0.42 0.673 -.063319 .0980267
lxrate1 | -.1293779 .0160418 -8.07 0.000 -.1608192 -.0979366
lremote | -.4373937 .0752241 -5.81 0.000 -.5848302 -.2899571
ldist | -2.085054 .1546893 -13.48 0.000 -2.38824 -1.781869
lopen | .2777581 .054859 5.06 0.000 .1702364 .3852798
english | .9252946 .1286354 7.19 0.000 .6731737 1.177415
white | 4.488046 .5634784 7.96 0.000 3.383648 5.592443
lwhitemg | -.4144807 .0500207 -8.29 0.000 -.5125194 -.316442
_cons | 41.87685 19.1288 2.19 0.029 4.385082 79.36861
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .000959
lgdp | -.000349 .00116
lgdpau | -.001037 .001465 .362878
lgdpdfrati~w | -.000856 .000181 -.009173 .059414
lpopau | .002416 -.008482 -1.2264 .047394 4.31617
lpop | -.00012 -.000773 .000108 .000228 -.000202 .001694
lxrate1 | .000089 .000154 .000343 .000219 -.002509 -.000098 .000257
lremote | .000509 .000073 -.00054 -.001754 -.003052 -.000261 .00008
ldist | .001648 .000994 .000478 -.001265 -.014834 -.000196 .001529
lopen | -.000172 .000589 .00232 .000836 -.015978 .00038 .000174
english | -.001227 .002841 .00305 .0022 -.01101 -.001405 .000586
white | .004556 -.00214 .002834 -.010382 -.024601 .005273 .000499
lwhitemg | -.000563 .000206 -.000224 .000982 .002525 -.000422 -.000067
_cons | -.029224 .077606 10.8044 -.583307 -39.1315 -.002561 .013679
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .005659
ldist | .005174 .023929
lopen | .001375 .001196 .00301
english | -.003291 .002611 -.000795 .016547
white | -.000533 -.000142 -.000178 .000753 .317508
lwhitemg | .00013 -.000467 -.000057 .000123 -.02775 .002502
_cons | -.030078 -.072577 .163053 .057439 .267986 -.026511 365.911
.
. **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) = 71964.67
Log likelihood = -978.1403 Prob > chi2 = 0.0000
------
lrrefp_cm | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .0472479 .0136854 3.45 0.001 .020425 .0740707
lgdp | 1.669435 .0498321 33.50 0.000 1.571766 1.767105
lgdpau | .895229 .3515399 2.55 0.011 .2062234 1.584235
lgdpdfrati~w | -.4775902 .1457124 -3.28 0.001 -.7631813 -.1919992
lpopau | -6.335415 1.187173 -5.34 0.000 -8.662231 -4.008599
lpop | -.4575322 .0820657 -5.58 0.000 -.6183781 -.2966863
lxrate1 | -.1221016 .0203476 -6.00 0.000 -.1619821 -.0822211
lremote | -.907216 .100866 -8.99 0.000 -1.10491 -.7095223
ldist | -3.006958 .1510858 -19.90 0.000 -3.303081 -2.710836
lopen | -.0591659 .0263749 -2.24 0.025 -.1108597 -.0074721
english | .9680715 .0862949 11.22 0.000 .7989366 1.137206
white | 4.016675 .7508442 5.35 0.000 2.545048 5.488303
lwhitemg | -.4047601 .071214 -5.68 0.000 -.5443369 -.2651833
_cons | 92.23952 11.18241 8.25 0.000 70.3224 114.1566
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .000187
lgdp | -.000236 .002483
lgdpau | -.001163 .001857 .12358
lgdpdfrati~w | -.000555 .000673 -.011227 .021232
lpopau | .00459 -.00773 -.408408 .022049 1.40938
lpop | .000131 -.003858 -.001684 .000173 .00523 .006735
lxrate1 | -.000025 .000293 -.000053 .000446 -.003147 -.000326 .000414
lremote | .000336 -.000208 -.006837 -.003441 .024426 -.000244 -6.7e-06
ldist | .000621 -.002616 -.006338 -.001045 .01583 .004367 .000455
lopen | .000038 -.000109 -.000968 .00087 .003597 .000273 -.000077
english | -.000398 .000299 .002965 .002643 -.019676 .000154 .001115
white | .000885 -.011245 -.011827 -.005142 .046526 .016838 -.00094
lwhitemg | -.000081 .000469 .000461 .000253 -.002718 -.000599 .000118
_cons | -.051491 .110493 3.65411 -.067565 -12.9731 -.10052 .046047
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .010174
ldist | .003316 .022827
lopen | .000695 .000326 .000696
english | -.002728 .002617 -.000404 .007447
white | .012126 -.009847 .001747 -.002511 .563767
lwhitemg | -.000184 .002166 -.000112 .000424 -.051662 .005071
_cons | -.336668 -.359678 -.045884 .232808 -.477614 .011992 125.046
.
.
. *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) = 7876.03
Log likelihood = -942.7449 Prob > chi2 = 0.0000
------
lrdiff_cm | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .0757564 .0197063 3.84 0.000 .0371327 .1143802
lgdp | 1.831367 .0676869 27.06 0.000 1.698703 1.964031
lgdpau | .3529444 .5083672 0.69 0.488 -.643437 1.349326
lgdpdfrati~w | -.4749635 .1978363 -2.40 0.016 -.8627156 -.0872115
lpopau | -4.325566 1.756401 -2.46 0.014 -7.768049 -.8830832
lpop | -.713632 .0820571 -8.70 0.000 -.874461 -.5528031
lxrate1 | -.1438555 .0259847 -5.54 0.000 -.1947845 -.0929265
lremote | -.4013242 .1250311 -3.21 0.001 -.6463807 -.1562676
ldist | -3.999257 .3423414 -11.68 0.000 -4.670233 -3.32828
lopen | .0374922 .039842 0.94 0.347 -.0405966 .1155811
english | 1.157153 .1431226 8.09 0.000 .8766382 1.437669
white | 9.541713 1.875543 5.09 0.000 5.865716 13.21771
lwhitemg | -.8231198 .1870015 -4.40 0.000 -1.189636 -.4566035
_cons | 78.46028 16.76922 4.68 0.000 45.59321 111.3273
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .000388
lgdp | -.000667 .004582
lgdpau | -.001556 .003282 .258437
lgdpdfrati~w | -.000697 .002122 -.017078 .039139
lpopau | .004718 -.017467 -.864018 .049432 3.08495
lpop | .00052 -.00409 -.001122 -.001888 .002589 .006733
lxrate1 | -1.3e-06 .000506 -.000258 .000974 -.004282 -.000715 .000675
lremote | -.000078 -.000567 -.007808 -.00117 .02731 -.001494 .000145
ldist | .001582 .008255 -.010643 -.001642 -.004993 -.002228 .001139
lopen | .000083 -.000536 -.000443 .001945 .002214 .000895 -.000175
english | -.000691 .001753 .006006 .001156 -.044378 .003247 .001704
white | .001078 -.030579 .003607 -.003306 -.015567 .027127 .003446
lwhitemg | -.00009 .001665 -.001572 -.000164 .007617 -.001799 -.000369
_cons | -.045988 .092336 7.69268 -.4016 -28.4204 .007048 .061886
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .015633
ldist | .007516 .117198
lopen | .00055 -.000652 .001587
english | -.005615 .004933 -.001283 .020484
white | .009197 -.158405 .002445 .022623 3.51766
lwhitemg | .001097 .012917 -.000124 -.00274 -.343859 .03497
_cons | -.421616 -.983641 -.026501 .481942 1.82216 -.224706 281.207
.
. *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) = 2240.15
Log likelihood = -1112.015 Prob > chi2 = 0.0000
------
lrhomo_cm | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .0928228 .0394479 2.35 0.019 .0155063 .1701392
lgdp | .9453251 .07879 12.00 0.000 .7908995 1.099751
lgdpau | -.4218534 .835862 -0.50 0.614 -2.060113 1.216406
lgdpdfrati~w | -.4101677 .3436907 -1.19 0.233 -1.083789 .2634538
lpopau | .1590179 2.862351 0.06 0.956 -5.451087 5.769123
lpop | .0116971 .0975814 0.12 0.905 -.1795589 .202953
lxrate1 | -.1376526 .0329613 -4.18 0.000 -.2022556 -.0730496
lremote | .5180038 .2312181 2.24 0.025 .0648246 .971183
ldist | -1.559902 .3287483 -4.74 0.000 -2.204237 -.9155669
lopen | .3528338 .0781676 4.51 0.000 .1996282 .5060394
english | 1.71936 .2424865 7.09 0.000 1.244095 2.194625
white | 1.598463 2.220281 0.72 0.472 -2.753208 5.950133
lwhitemg | .1730533 .1951074 0.89 0.375 -.2093502 .5554568
_cons | .1412757 27.12876 0.01 0.996 -53.03012 53.31267
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .001556
lgdp | -.001462 .006208
lgdpau | -.00173 .001235 .698665
lgdpdfrati~w | -.000246 .001406 -.013937 .118123
lpopau | .003051 -.008658 -2.33984 .041347 8.19305
lpop | .00034 -.005596 .000276 -.000959 -.001575 .009522
lxrate1 | .000114 .000882 .000454 .002017 -.007376 -.00118 .001086
lremote | .001282 .000559 -.027587 -.015082 .086392 .000504 -.000782
ldist | .003965 -.00709 -.019454 -.006512 .059126 .011258 -.000183
lopen | .00026 -.001141 .004637 .002296 -.025213 .002995 -.000173
english | -.003343 .000618 .009559 .005753 -.018842 -.000538 .001467
white | .003393 -.023098 .101258 .004874 -.404499 .019202 .000516
lwhitemg | -.000473 .000843 -.010626 -.001843 .043719 -.000166 -.00019
_cons | -.03312 .127072 20.9037 -.266499 -75.7183 -.114036 .111413
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .053462
ldist | .019732 .108075
lopen | .001873 -.001032 .00611
english | -.014863 .012643 -.001974 .0588
white | .03908 -.024959 .007102 .041705 4.92965
lwhitemg | -.000614 .00612 -.000416 -.00308 -.422298 .038067
_cons | -1.37172 -1.71369 .26995 .056482 4.1385 -.512443 735.97
.
. **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) = 54720.62
Log likelihood = -905.9338 Prob > chi2 = 0.0000
------
lrrefp_lm | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .0219687 .0129526 1.70 0.090 -.003418 .0473554
lgdp | 1.483071 .0550609 26.94 0.000 1.375154 1.590988
lgdpau | .7115107 .3357839 2.12 0.034 .0533864 1.369635
lgdpdfrati~w | -.2875549 .1332612 -2.16 0.031 -.5487421 -.0263677
lpopau | -6.763519 1.138916 -5.94 0.000 -8.995754 -4.531285
lpop | -.0402342 .0940189 -0.43 0.669 -.2245079 .1440395