------
log: K:\Roger-Australia\Robustness-1\Switzerland-Togo_Exports.log
log type: text
opened on: 18 Aug 2006, 19:23:16
. clear
. *Estimating the Australian Immigration Trade relationship;
. insheet using k:\book2.txt
(54 vars, 11640 obs)
. drop if ccode ==.
(10630 observations deleted)
.
. **Dropping Switzerland
. drop if ccode==557560
(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) = 6907.55
Log likelihood = -1019.699 Prob > chi2 = 0.0000
------
lrexp | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .5416162 .0382251 14.17 0.000 .4666964 .6165361
lgdp | 1.052361 .037937 27.74 0.000 .9780056 1.126716
lgdpau | -3.375358 .8836546 -3.82 0.000 -5.107289 -1.643427
lgdpdfrati~w | -1.859307 .3398481 -5.47 0.000 -2.525397 -1.193217
lpopau | 4.439088 3.080449 1.44 0.150 -1.59848 10.47666
lpop | -.0084903 .042371 -0.20 0.841 -.0915358 .0745553
lxrate1 | .0034681 .014775 0.23 0.814 -.0254904 .0324267
lremote | .1123299 .0849521 1.32 0.186 -.0541731 .2788329
ldist | -1.389549 .1444669 -9.62 0.000 -1.672699 -1.106399
lopen | .8861608 .0790774 11.21 0.000 .7311718 1.04115
english | .1907301 .0951327 2.00 0.045 .0042734 .3771868
white | 3.923181 .7529441 5.21 0.000 2.447438 5.398925
lwhitemg | -.4536522 .0666349 -6.81 0.000 -.5842542 -.3230502
_cons | 9.980561 28.55185 0.35 0.727 -45.98004 65.94116
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .001461
lgdp | -.000833 .001439
lgdpau | -.003081 .002646 .780846
lgdpdfrati~w | .000761 -.001102 -.026858 .115497
lpopau | .011944 -.011206 -2.67919 .144605 9.48916
lpop | .000035 -.0007 .000902 -.000241 -.007212 .001795
lxrate1 | -6.1e-06 .000195 .000031 -.000044 -.000471 -.000066 .000218
lremote | -.000411 .001304 .004593 -.002518 -.026099 .000298 .00009
ldist | .003485 -.001924 -.004775 .003546 .008732 .002015 .000463
lopen | -.000588 .000383 .010223 -.001399 -.05648 .001028 -.000057
english | -.000739 .001533 -.002401 .000661 .016178 -.001051 .000476
white | .008476 -.003343 -.012749 .001526 .050746 .005327 .001204
lwhitemg | -.000914 .000343 .001286 -.00038 -.004857 -.00049 -.0001
_cons | -.140845 .107046 23.9527 -1.80616 -86.9355 .062941 -.002563
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .007217
ldist | .002713 .020871
lopen | .00256 .001086 .006253
english | .000127 .00152 -.002995 .00905
white | .002645 .026125 -.006884 .003946 .566925
lwhitemg | -.000061 -.002785 .000566 -.000126 -.049767 .00444
_cons | .194633 -.261124 .623831 -.243514 -.877666 .083187 815.208
. **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) = 7075.55
Log likelihood = -1454.661 Prob > chi2 = 0.0000
------
lrrefp_cx | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .3469693 .0458493 7.57 0.000 .2571063 .4368322
lgdp | 1.078211 .0669066 16.12 0.000 .9470762 1.209345
lgdpau | -.3355085 .509932 -0.66 0.511 -1.334957 .6639399
lgdpdfrati~w | -.2301918 .3010319 -0.76 0.444 -.8202035 .35982
lpopau | 3.118285 1.837777 1.70 0.090 -.4836924 6.720262
lpop | .0395068 .093141 0.42 0.671 -.1430462 .2220599
lxrate1 | -.03355 .0299414 -1.12 0.262 -.092234 .025134
lremote | -.2229756 .1661216 -1.34 0.180 -.5485679 .1026168
ldist | -3.13367 .3860416 -8.12 0.000 -3.890297 -2.377042
lopen | -.0780088 .054633 -1.43 0.153 -.1850875 .0290699
english | .6005829 .1794521 3.35 0.001 .2488632 .9523026
white | 7.558384 1.29719 5.83 0.000 5.015939 10.10083
lwhitemg | -.8243408 .1333654 -6.18 0.000 -1.085732 -.5629493
_cons | -33.47397 18.50574 -1.81 0.070 -69.74455 2.796619
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .002102
lgdp | -.001595 .004476
lgdpau | .001187 -.001338 .260031
lgdpdfrati~w | -.001901 .003149 -.024983 .09062
lpopau | -.005455 .003742 -.902181 .111125 3.37743
lpop | -.000106 -.004685 .003443 -.00135 -.018629 .008675
lxrate1 | .000132 .000378 .000645 .002615 -.006543 -.000547 .000896
lremote | .000089 .000229 -.021801 .002696 .092474 -.003439 .000589
ldist | .009111 -.010721 .004356 .002087 -.031802 .005306 .002145
lopen | .000052 -.000227 .002461 .001177 -.01157 .001114 -.000359
english | -.001092 -.001426 .005929 .00433 -.044319 .003046 .001636
white | .01043 -.025483 .0225 -.005474 -.155097 .031734 .001646
lwhitemg | -.001522 .001995 -.004626 .000738 .023305 -.002039 -.000131
_cons | -.000131 .049747 8.29036 -1.37528 -32.7336 .171609 .059434
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .027596
ldist | .003181 .149028
lopen | -.001971 .000906 .002985
english | -.00462 .000497 -.00069 .032203
white | -.010608 .055031 .002342 .04174 1.6827
lwhitemg | .004035 -.006943 -.000565 -.002063 -.16772 .017786
_cons | -1.19333 -.935845 .125413 .582922 1.55215 -.239344 342.462
. *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) = 3546.74
Log likelihood = -1566.59 Prob > chi2 = 0.0000
------
lrdiff_cx | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .4625586 .0546666 8.46 0.000 .3554139 .5697032
lgdp | 1.098389 .0629753 17.44 0.000 .97496 1.221818
lgdpau | 1.502072 2.08638 0.72 0.472 -2.587158 5.591301
lgdpdfrati~w | -2.168253 .83946 -2.58 0.010 -3.813564 -.5229416
lpopau | -6.467437 7.188574 -0.90 0.368 -20.55678 7.621908
lpop | -.1783511 .0798128 -2.23 0.025 -.3347812 -.0219209
lxrate1 | -.058318 .0286543 -2.04 0.042 -.1144793 -.0021566
lremote | .0728788 .2061395 0.35 0.724 -.3311472 .4769049
ldist | -2.234628 .2364907 -9.45 0.000 -2.698142 -1.771115
lopen | .1082764 .0919676 1.18 0.239 -.0719768 .2885296
english | .6727449 .1819213 3.70 0.000 .3161858 1.029304
white | 1.538219 1.263487 1.22 0.223 -.9381708 4.014609
lwhitemg | -.171478 .1121494 -1.53 0.126 -.3912869 .0483309
_cons | 71.00492 66.22503 1.07 0.284 -58.79375 200.8036
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .002988
lgdp | -.002055 .003966
lgdpau | -.002674 .005646 4.35298
lgdpdfrati~w | -.003997 .001701 -.23338 .704693
lpopau | .008696 -.027647 -14.7716 1.07864 51.6756
lpop | .000188 -.003352 -.000863 .001445 .006207 .00637
lxrate1 | .00023 .000466 .000879 -.000841 -.00763 -.000844 .000821
lremote | .004378 -.002728 .003056 -.00978 -.031753 -.000198 .001136
ldist | .006734 -.005924 -.00679 .010424 .014529 .002637 .003053
lopen | -.000412 .000754 .01561 .003018 -.079721 .001237 -.000131
english | -.003196 .002607 -.00039 .010837 .010721 -.003363 .001246
white | .016287 -.017995 .03326 -.075458 -.121452 .012267 -.001041
lwhitemg | -.001529 .001187 -.002692 .006673 .009798 -.000384 .000128
_cons | -.148864 .36301 131.044 -12.5673 -470.45 -.127305 .063517
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .042494
ldist | .02264 .055928
lopen | .004185 .000616 .008458
english | -.01484 .00177 -.003388 .033095
white | .043327 .009235 -.004354 -.010672 1.5964
lwhitemg | -.001729 .001 .000515 .000943 -.138106 .012577
_cons | -.089908 -.763929 .841926 -.069046 .84703 -.103157 4385.75
. *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) = 1630.66
Log likelihood = -1618.032 Prob > chi2 = 0.0000
------
lrhomo_cx | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .4552119 .0529776 8.59 0.000 .3513776 .5590461
lgdp | .9558831 .0969686 9.86 0.000 .7658282 1.145938
lgdpau | -.0529671 1.113809 -0.05 0.962 -2.235992 2.130058
lgdpdfrati~w | -.3780299 .4674494 -0.81 0.419 -1.294214 .5381541
lpopau | -6.480466 3.812371 -1.70 0.089 -13.95258 .9916439
lpop | .1835432 .1074002 1.71 0.087 -.0269574 .3940438
lxrate1 | .0710749 .0376948 1.89 0.059 -.0028056 .1449553
lremote | -1.175858 .2355118 -4.99 0.000 -1.637453 -.7142639
ldist | -1.595566 .4917484 -3.24 0.001 -2.559375 -.631757
lopen | .0388564 .0957623 0.41 0.685 -.1488343 .2265471
english | 1.079113 .2970963 3.63 0.000 .4968144 1.661411
white | 12.81105 2.667503 4.80 0.000 7.582844 18.03927
lwhitemg | -1.500059 .279659 -5.36 0.000 -2.04818 -.951937
_cons | 112.3953 35.92747 3.13 0.002 41.97875 182.8118
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .002807
lgdp | -.003053 .009403
lgdpau | .005816 -.01106 1.24057
lgdpdfrati~w | -.003633 .007454 -.057304 .218509
lpopau | -.022661 .023977 -4.11877 .288812 14.5342
lpop | .000357 -.005815 .000491 -.002787 -.000899 .011535
lxrate1 | -.000137 .001238 .002658 .002704 -.01881 -.001429 .001421
lremote | .000228 .009217 -.03801 .012591 .1002 -.006866 .000893
ldist | .014492 -.01068 .021215 -.005731 -.145236 .013109 .002235
lopen | .000019 -.001121 -.019598 .007071 .047938 .002169 -.000262
english | -.002497 .003995 .016857 .004241 -.086575 .004856 .003081
white | .011292 -.029129 .110403 -.020243 -.443244 .033035 .000219
lwhitemg | -.001237 .001877 -.011524 .002139 .049394 -.00277 -.000051
_cons | .135164 -.200626 36.143 -3.68622 -133.187 -.10909 .200825
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .055466
ldist | .027061 .241816
lopen | .001775 -.001369 .00917
english | -.013395 .016461 -.003726 .088266
white | -.039266 .038052 -.002097 .107405 7.11557
lwhitemg | .004418 -.006499 .000534 -.011822 -.736733 .078209
_cons | -1.51201 -.733365 -.291153 .766157 4.4922 -.484508 1290.78
. **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) = 1647.37
Log likelihood = -1475.895 Prob > chi2 = 0.0000
------
lrrefp_lx | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .323483 .0467374 6.92 0.000 .2318794 .4150865
lgdp | 1.032936 .085671 12.06 0.000 .8650238 1.200848
lgdpau | -.1030474 .528515 -0.19 0.845 -1.138918 .9328229
lgdpdfrati~w | .0101025 .2831066 0.04 0.972 -.5447762 .5649811
lpopau | -3.368308 1.868511 -1.80 0.071 -7.030523 .2939071
lpop | .0764123 .101778 0.75 0.453 -.123069 .2758935
lxrate1 | .0064459 .0300888 0.21 0.830 -.052527 .0654187
lremote | -.2235545 .1623607 -1.38 0.169 -.5417757 .0946667
ldist | -2.394119 .4744394 -5.05 0.000 -3.324003 -1.464234
lopen | -.0029309 .0552312 -0.05 0.958 -.111182 .1053202
english | 1.027427 .2535849 4.05 0.000 .5304094 1.524444
white | 11.02545 2.434573 4.53 0.000 6.253775 15.79713
lwhitemg | -1.114837 .2342921 -4.76 0.000 -1.574041 -.6556328
_cons | 61.01992 18.72032 3.26 0.001 24.32876 97.71108
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .002184
lgdp | -.002514 .00734
lgdpau | .001528 -.003589 .279328
lgdpdfrati~w | -.001853 .004073 -.028608 .080149
lpopau | -.007837 .012531 -.958421 .129818 3.49134
lpop | .000807 -.006133 .004252 -.003276 -.023044 .010359
lxrate1 | .000117 .000167 .001576 .001926 -.00803 -.000408 .000905
lremote | .000524 .000808 -.0216 .003909 .082149 -.003438 .000097
ldist | .006616 -.009489 .000218 .00174 -.019206 .008611 .002726
lopen | .000028 -.000237 .001953 .001409 -.008928 .000987 -.000259
english | -.002222 .001629 .007908 .004896 -.02857 .000413 .002225
white | .005243 -.021522 .024882 -.014744 -.186059 .032247 .008507
lwhitemg | -.000664 .001116 -.003764 .001537 .023577 -.00198 -.000746
_cons | .056731 -.092292 8.78824 -1.57814 -33.3055 .194654 .060851
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .026361
ldist | .011106 .225093
lopen | -.001279 -.00064 .00305
english | -.006614 .032692 -.000967 .064305
white | .017606 -.228821 -.006801 .005268 5.92714
lwhitemg | .000347 .024042 .000459 .001128 -.564699 .054893
_cons | -1.10442 -1.91703 .105539 -.052948 4.38721 -.514671 350.451
. *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) = 3302.04
Log likelihood = -1583.755 Prob > chi2 = 0.0000
------
lrdiff_lx | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .4207895 .0576004 7.31 0.000 .3078948 .5336843
lgdp | 1.197294 .0695186 17.22 0.000 1.06104 1.333548
lgdpau | 1.155567 2.173811 0.53 0.595 -3.105023 5.416158
lgdpdfrati~w | -2.352785 .8444601 -2.79 0.005 -4.007896 -.6976737
lpopau | -5.582875 7.487387 -0.75 0.456 -20.25788 9.092135
lpop | -.2848722 .0815809 -3.49 0.000 -.4447678 -.1249766
lxrate1 | -.0208434 .0287768 -0.72 0.469 -.0772448 .035558
lremote | .1901615 .2004327 0.95 0.343 -.2026795 .5830025
ldist | -2.201643 .2351918 -9.36 0.000 -2.66261 -1.740676
lopen | .1314164 .1003561 1.31 0.190 -.065278 .3281109
english | .8167643 .1980474 4.12 0.000 .4285985 1.20493
white | 1.623249 1.220856 1.33 0.184 -.7695858 4.016084
lwhitemg | -.169453 .109406 -1.55 0.121 -.3838847 .0449788
_cons | 63.71834 68.95634 0.92 0.355 -71.4336 198.8703
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .003318
lgdp | -.002639 .004833
lgdpau | -.003445 .006576 4.72545
lgdpdfrati~w | -.004227 .002789 -.242749 .713113
lpopau | .012405 -.032677 -16.0295 1.09474 56.061