------
log: K:\Exports\Bangladesh to St Kittis.log
opened on: 2 Aug 2006, 11:09:37
.
. *Dropping Bangladesh
. drop if ccode==450500
(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 490971 1561252 7348 0 1.39e+07
immig | 1000 33414.99 117050.9 2802.5 0 1137050
gdp | 1000 2.78e+11 9.69e+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 105.7153 16.9489 102.8924 60.87417 207.3465
gdpdfau | 1000 100.7173 4.633489 100.8223 94.42464 109.9797
pop | 1000 4.84e+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 1042.818 10901.73 13.89535 .0068 270182.6
remote | 1000 6733.966 4145.929 6764 1293 39620
dist | 1000 13413.84 3504.33 14305 2409 17972
open | 1000 .7127722 .3872824 .63975 .0671 3.2192
english | 1000 .37 .4830459 0 0 1
gdpdfratio~w | 1000 1.052646 .1814257 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 404686.5 1597641 2944.5 0 1.39e+07
immig | 870 14842.91 27149.5 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 | 870 104.8452 17.31232 101.7094 60.87417 207.3465
gdpdfau | 870 100.7173 4.633836 100.8223 94.42464 109.9797
pop | 870 5.21e+07 1.64e+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 1182.648 11681.77 19.96485 .0068 270182.6
remote | 870 7159.533 4116.798 6927 1293 39620
dist | 870 13250.85 3391.103 14051 2410 17972
phone | 870 159.3328 241.8373 49.865 .54 1449.75
open | 870 .7208663 .4084547 .63975 .0671 3.2192
english | 870 .3793103 .4854945 0 0 1
gdpdfratio~w | 870 1.04423 .1863589 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 Exports
. 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 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) = 6256.64
Log likelihood = -1016.198 Prob > chi2 = 0.0000
------
lrexp | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .5357209 .039025 13.73 0.000 .4592333 .6122084
lgdp | 1.063421 .0387934 27.41 0.000 .9873874 1.139455
lgdpau | -3.138034 .8697712 -3.61 0.000 -4.842754 -1.433314
lgdpdfrati~w | -1.773822 .3365811 -5.27 0.000 -2.433509 -1.114135
lpopau | 3.800995 3.033916 1.25 0.210 -2.14537 9.74736
lpop | -.0061338 .0421778 -0.15 0.884 -.0888008 .0765331
lxrate1 | .0025006 .0149199 0.17 0.867 -.0267418 .031743
lremote | .1480181 .0871545 1.70 0.089 -.0228015 .3188377
ldist | -1.402672 .1468473 -9.55 0.000 -1.690488 -1.114857
lopen | .9448189 .0807355 11.70 0.000 .7865803 1.103057
english | .1465618 .090399 1.62 0.105 -.030617 .3237407
white | 3.101735 .5677597 5.46 0.000 1.988946 4.214523
lwhitemg | -.3836362 .0514581 -7.46 0.000 -.4844922 -.2827801
_cons | 13.832 28.20141 0.49 0.624 -41.44175 69.10575
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .001523
lgdp | -.000912 .001505
lgdpau | -.003419 .002827 .756502
lgdpdfrati~w | .000788 -.001017 -.024056 .113287
lpopau | .013254 -.011628 -2.59499 .13358 9.20464
lpop | .000093 -.000772 .000848 -.00005 -.006645 .001779
lxrate1 | -.000014 .000184 -.000086 -.000057 .000172 -.000069 .000223
lremote | -.000448 .00118 .004761 -.002564 -.025728 .000119 -.000019
ldist | .003733 -.002681 -.006453 .004431 .017127 .002365 .000396
lopen | -.000645 .000404 .011138 -.001036 -.060124 .000939 -.00012
english | -.000695 .001245 -.002935 .000653 .018592 -.000953 .000495
white | .007405 -.002074 -.008801 -.008717 .010855 .009741 .001368
lwhitemg | -.000828 .000245 .001031 .000397 -.001864 -.000877 -.000114
_cons | -.155345 .117749 23.206 -1.70742 -84.5101 .054551 -.008269
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .007596
ldist | .001907 .021564
lopen | .002472 .000531 .006518
english | .000218 .001077 -.003032 .008172
white | .016413 .034425 -.000361 .002619 .322351
lwhitemg | -.001104 -.003457 .000037 .000036 -.028741 .002648
_cons | .194615 -.346263 .667711 -.260779 -.598495 .062608 795.32
.
. **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) = 5441.90
Log likelihood = -1456.957 Prob > chi2 = 0.0000
------
lrrefp_cx | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .3632632 .0468183 7.76 0.000 .2715011 .4550253
lgdp | 1.106232 .0700877 15.78 0.000 .9688625 1.243601
lgdpau | -.4369642 .4909549 -0.89 0.373 -1.399218 .5252898
lgdpdfrati~w | -.210635 .3023689 -0.70 0.486 -.803267 .3819971
lpopau | 3.346779 1.774233 1.89 0.059 -.1306541 6.824212
lpop | -.0096995 .0965346 -0.10 0.920 -.1989038 .1795049
lxrate1 | -.041151 .0300323 -1.37 0.171 -.1000131 .0177112
lremote | -.2154971 .1646379 -1.31 0.191 -.5381816 .1071873
ldist | -3.010405 .3993055 -7.54 0.000 -3.79303 -2.227781
lopen | -.0681765 .0542837 -1.26 0.209 -.1745706 .0382176
english | .5136433 .1866164 2.75 0.006 .1478819 .8794048
white | 7.452264 1.125949 6.62 0.000 5.245445 9.659083
lwhitemg | -.8218536 .1204285 -6.82 0.000 -1.057889 -.585818
_cons | -35.74756 17.99404 -1.99 0.047 -71.01523 -.4799033
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .002192
lgdp | -.001722 .004912
lgdpau | .001216 -.001864 .241037
lgdpdfrati~w | -.002023 .003365 -.024297 .091427
lpopau | -.005089 .004831 -.837699 .108829 3.1479
lpop | -.00007 -.005053 .004049 -.00145 -.020768 .009319
lxrate1 | .000121 .000382 .000615 .002687 -.006443 -.000542 .000902
lremote | .000079 .000462 -.021811 .00239 .092053 -.003679 .00059
ldist | .00942 -.010159 .003298 .001685 -.027845 .00461 .001967
lopen | .000075 -.000327 .002612 .001169 -.011621 .001201 -.00039
english | -.001265 -.001211 .005971 .004697 -.046485 .003457 .00169
white | .011059 -.027387 .024093 -.004757 -.156572 .034472 .001736
lwhitemg | -.001581 .002139 -.004618 .000664 .022855 -.00225 -.00012
_cons | -.007863 .034302 7.73096 -1.3525 -30.6418 .19807 .059995
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .027106
ldist | .004123 .159445
lopen | -.002211 .000962 .002947
english | -.004531 .001339 -.000739 .034826
white | -.012208 .053956 .002958 .041088 1.26776
lwhitemg | .00407 -.007088 -.00064 -.00202 -.130122 .014503
_cons | -1.19212 -1.08457 .124729 .597647 1.55594 -.230673 323.785
.
.
. *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) = 3502.66
Log likelihood = -1554.215 Prob > chi2 = 0.0000
------
lrdiff_cx | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .4456425 .0548643 8.12 0.000 .3381104 .5531746
lgdp | 1.057638 .0650754 16.25 0.000 .9300923 1.185183
lgdpau | 2.404244 2.036456 1.18 0.238 -1.587136 6.395624
lgdpdfrati~w | -2.309055 .8182535 -2.82 0.005 -3.912802 -.7053076
lpopau | -8.36574 7.010967 -1.19 0.233 -22.10698 5.375503
lpop | -.113781 .0841331 -1.35 0.176 -.2786789 .0511169
lxrate1 | -.0795339 .0286573 -2.78 0.006 -.1357011 -.0233666
lremote | -.1080006 .2066708 -0.52 0.601 -.513068 .2970668
ldist | -2.326121 .2373181 -9.80 0.000 -2.791256 -1.860986
lopen | .0535316 .0892071 0.60 0.548 -.1213111 .2283744
english | .7565294 .1844842 4.10 0.000 .3949469 1.118112
white | 2.571494 1.141742 2.25 0.024 .3337221 4.809267
lwhitemg | -.2524277 .1037516 -2.43 0.015 -.4557772 -.0490782
_cons | 81.37077 64.51025 1.26 0.207 -45.067 207.8085
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .00301
lgdp | -.001921 .004235
lgdpau | -.002485 .005892 4.14715
lgdpdfrati~w | -.003472 .00194 -.201667 .669539
lpopau | .007664 -.029846 -14.0629 .945863 49.1537
lpop | -7.7e-06 -.003798 -.001449 .000794 .011035 .007078
lxrate1 | .000248 .000571 .001035 -.000352 -.008251 -.000991 .000821
lremote | .004506 -.001748 .004613 -.007025 -.039714 -.001681 .00123
ldist | .006853 -.005496 -.005546 .012127 .009213 .001922 .003057
lopen | -.000223 .000979 .015628 .003273 -.078861 .000604 -.000011
english | -.003353 .001799 -.001226 .009532 .01672 -.002165 .001013
white | .020246 -.019807 .037706 -.125111 -.172235 .010212 .002443
lwhitemg | -.001847 .00132 -.003136 .010606 .014109 -.000211 -.000155
_cons | -.13955 .380067 124.629 -11.1984 -446.95 -.171394 .068267
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .042713
ldist | .022871 .05632
lopen | .004737 .001155 .007958
english | -.015857 .001118 -.003775 .034034
white | .079494 .031727 -.002364 -.012895 1.30357
lwhitemg | -.004652 -.000797 .000335 .001177 -.115083 .010764
_cons | -.005491 -.714914 .819597 -.129073 1.13249 -.127397 4161.57
.
. *2.3. Aggregate Homogenous Exports (conservative)
. xtgls lrhomo_cx 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) = 1227.29
Log likelihood = -1659.021 Prob > chi2 = 0.0000
------
lrhomo_cx | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .6486258 .0652177 9.95 0.000 .5208015 .7764501
lgdp | .6789689 .1097819 6.18 0.000 .4638003 .8941376
lgdpau | 1.396215 1.859274 0.75 0.453 -2.247895 5.040324
lgdpdfrati~w | -.1996334 .6723139 -0.30 0.767 -1.517344 1.118078
lpopau | -11.36531 6.372049 -1.78 0.074 -23.8543 1.123673
lpop | .1072201 .1088012 0.99 0.324 -.1060264 .3204666
lxrate1 | .0767457 .0434652 1.77 0.077 -.0084447 .161936
lremote | -1.034441 .3081008 -3.36 0.001 -1.638307 -.430574
ldist | -.8044265 .5957668 -1.35 0.177 -1.972108 .3632549
lopen | .2610362 .12011 2.17 0.030 .0256249 .4964474
english | .1738883 .3215281 0.54 0.589 -.4562951 .8040718
white | 11.82785 2.882939 4.10 0.000 6.177395 17.47831
lwhitemg | -1.366043 .2954634 -4.62 0.000 -1.945141 -.7869456
_cons | 152.9354 59.55187 2.57 0.010 36.21592 269.6549
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .004253
lgdp | -.004846 .012052
lgdpau | .002035 -.003804 3.4569
lgdpdfrati~w | -.006749 .012134 -.114269 .452006
lpopau | -.012038 .000893 -11.5669 .553784 40.603
lpop | .000707 -.006532 -.000961 -.002602 .003693 .011838
lxrate1 | -.000149 .001298 .003038 .003572 -.023891 -.001245 .001889
lremote | .002201 .007337 -.052219 .006901 .138869 -.006501 -.000355
ldist | .021426 -.0177 -.013328 -.01186 -.043551 .012752 .001689
lopen | -.000979 .001069 -.016413 .004566 .024138 .001939 .000308
english | -.004739 .006211 .022462 .016532 -.104091 .005578 .004397
white | .017327 -.03854 .160502 -.031593 -.752905 .038303 .004269
lwhitemg | -.00167 .00255 -.019192 .00234 .088255 -.003058 -.000372
_cons | .004809 .032886 101.947 -6.82219 -371.562 -.13806 .285129
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .094926
ldist | .056514 .354938
lopen | .003584 -.004547 .014426
english | -.025357 -.003003 -.002938 .10338
white | -.001227 .000376 -.005818 .116801 8.31134
lwhitemg | .004267 -.000444 .000742 -.012873 -.840117 .087299
_cons | -2.36758 -2.71613 -.000275 1.13098 8.44874 -.993415 3546.42
.
. **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) = 2151.41
Log likelihood = -1456.77 Prob > chi2 = 0.0000
------
lrrefp_lx | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .369358 .0477202 7.74 0.000 .2758282 .4628878
lgdp | .9042604 .081126 11.15 0.000 .7452563 1.063265
lgdpau | -.2439253 .4872589 -0.50 0.617 -1.198935 .7110845
lgdpdfrati~w | .1864334 .2411458 0.77 0.439 -.2862037 .6590704
lpopau | -2.574707 1.726182 -1.49 0.136 -5.957962 .8085466
lpop | .1748324 .1005021 1.74 0.082 -.0221481 .3718129