------
log: K:\Roger-Australia\Robustness-1\Hong Kong-Indonesia-Exports.log
log type: text
opened on: 18 Aug 2006, 17:52:03
. clear
. *Estimating the Australian Immigration Trade relationship;
. insheet using k:\book2.txt
(54 vars, 11640 obs)
. drop if ccode ==.
(10630 observations deleted)
.
. **Dropping Hong Kong
. drop if ccode==343400
(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) = 6843.16
Log likelihood = -1027.674 Prob > chi2 = 0.0000
------
lrexp | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .5449533 .0374232 14.56 0.000 .4716051 .6183015
lgdp | 1.054674 .0390315 27.02 0.000 .9781732 1.131174
lgdpau | -3.145513 .8955675 -3.51 0.000 -4.900793 -1.390233
lgdpdfrati~w | -1.827147 .3437563 -5.32 0.000 -2.500897 -1.153397
lpopau | 4.001345 3.133796 1.28 0.202 -2.140782 10.14347
lpop | -.0062512 .0426311 -0.15 0.883 -.0898067 .0773042
lxrate1 | -.0015242 .0154385 -0.10 0.921 -.031783 .0287346
lremote | .1076044 .083681 1.29 0.198 -.0564073 .271616
ldist | -1.484145 .161593 -9.18 0.000 -1.800862 -1.167429
lopen | .9131417 .0875987 10.42 0.000 .7414514 1.084832
english | .1943574 .0993873 1.96 0.051 -.0004382 .3891531
white | 3.130118 .5765879 5.43 0.000 2.000027 4.26021
lwhitemg | -.3876238 .0522378 -7.42 0.000 -.4900081 -.2852396
_cons | 11.98402 29.25643 0.41 0.682 -45.35754 69.32558
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .0014
lgdp | -.000808 .001523
lgdpau | -.003156 .003003 .802041
lgdpdfrati~w | .000827 -.001293 -.029318 .118168
lpopau | .012848 -.01363 -2.7587 .154123 9.82068
lpop | .000143 -.000879 .00017 -.000057 -.002584 .001817
lxrate1 | .000012 .000167 -.000308 -.000057 .0012 -.000048 .000238
lremote | -.000391 .001389 .004701 -.002589 -.02728 -.000116 .000037
ldist | .003553 -.001895 -.007188 .00321 .020592 .002045 .000695
lopen | -.000746 .000664 .013084 -.002085 -.071467 .00056 -.000208
english | -.000637 .001703 -.003108 .000673 .019123 -.001075 .000551
white | .007854 -.002294 -.014379 -.008146 .045736 .010385 .001881
lwhitemg | -.000855 .00024 .001375 .000463 -.004267 -.00092 -.000156
_cons | -.156994 .138197 24.7484 -1.89802 -90.5111 .011015 -.023161
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .007003
ldist | .003133 .026112
lopen | .0027 -.000209 .007674
english | .000335 .002553 -.003298 .009878
white | .013636 .037833 -.004556 .005256 .332454
lwhitemg | -.001016 -.003788 .000364 -.000291 -.02973 .002729
_cons | .214511 -.451726 .813633 -.29079 -1.05548 .097422 855.939
. **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) = 6952.08
Log likelihood = -1428.322 Prob > chi2 = 0.0000
------
lrrefp_cx | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .3474173 .0462711 7.51 0.000 .2567277 .438107
lgdp | 1.091531 .0674803 16.18 0.000 .9592722 1.22379
lgdpau | -.2467215 .5387363 -0.46 0.647 -1.302625 .8091823
lgdpdfrati~w | -.2534491 .3045744 -0.83 0.405 -.8504039 .3435057
lpopau | 2.654262 1.932382 1.37 0.170 -1.133138 6.441662
lpop | .028428 .0934993 0.30 0.761 -.1548272 .2116832
lxrate1 | -.0367057 .0302984 -1.21 0.226 -.0960894 .0226781
lremote | -.3006009 .1689351 -1.78 0.075 -.6317076 .0305057
ldist | -3.193794 .383877 -8.32 0.000 -3.946179 -2.441409
lopen | -.0662309 .0563957 -1.17 0.240 -.1767644 .0443026
english | .5967311 .1807413 3.30 0.001 .2424847 .9509774
white | 7.758698 1.082942 7.16 0.000 5.63617 9.881226
lwhitemg | -.8506169 .1155796 -7.36 0.000 -1.077149 -.6240851
_cons | -26.91818 19.32127 -1.39 0.164 -64.78717 10.95081
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .002141
lgdp | -.00164 .004554
lgdpau | .001213 -.001151 .290237
lgdpdfrati~w | -.001897 .003138 -.026076 .092766
lpopau | -.005867 .003285 -1.00332 .115466 3.7341
lpop | -.000074 -.004744 .003179 -.001308 -.01802 .008742
lxrate1 | .000142 .000385 .000713 .002623 -.006859 -.000551 .000918
lremote | .000068 .000239 -.022284 .002715 .093855 -.00344 .000542
ldist | .009228 -.010977 .004264 .002236 -.032208 .005614 .002187
lopen | .00004 -.000172 .002453 .00121 -.011936 .001077 -.000341
english | -.001128 -.001374 .006045 .004325 -.043881 .002977 .00165
white | .011009 -.025527 .021356 -.003178 -.152697 .031638 .001896
lwhitemg | -.001581 .002003 -.004608 .000523 .023413 -.002034 -.000161
_cons | .005404 .05417 9.18143 -1.42293 -36.0073 .16555 .062673
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .028539
ldist | .003025 .147362
lopen | -.001753 .00103 .00318
english | -.005102 .000857 -.000735 .032667
white | -.011943 .059334 .002457 .037969 1.17276
lwhitemg | .004253 -.007316 -.000569 -.001752 -.119844 .013359
_cons | -1.21 -.909086 .128039 .57308 1.51126 -.239788 373.311
. *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) = 3602.45
Log likelihood = -1536.649 Prob > chi2 = 0.0000
------
lrdiff_cx | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .4804578 .0521027 9.22 0.000 .3783383 .5825773
lgdp | 1.119477 .06022 18.59 0.000 1.001448 1.237506
lgdpau | 2.586692 2.046476 1.26 0.206 -1.424327 6.597711
lgdpdfrati~w | -2.089804 .8202212 -2.55 0.011 -3.697408 -.4821998
lpopau | -9.930607 7.048217 -1.41 0.159 -23.74486 3.883646
lpop | -.2056139 .0784723 -2.62 0.009 -.3594168 -.051811
lxrate1 | -.0682696 .0276422 -2.47 0.014 -.1224473 -.014092
lremote | .004186 .1986475 0.02 0.983 -.3851558 .3935279
ldist | -2.290179 .2232786 -10.26 0.000 -2.727797 -1.852561
lopen | .222027 .1039802 2.14 0.033 .0182296 .4258244
english | .6204648 .1799699 3.45 0.001 .2677303 .9731994
white | 2.362324 1.15667 2.04 0.041 .0952923 4.629355
lwhitemg | -.2574915 .1043097 -2.47 0.014 -.4619348 -.0530483
_cons | 101.012 64.85373 1.56 0.119 -26.09899 228.1229
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .002715
lgdp | -.00174 .003626
lgdpau | -.002488 .004732 4.18806
lgdpdfrati~w | -.003212 .001435 -.210367 .672763
lpopau | .00889 -.024913 -14.208 .979426 49.6774
lpop | .000069 -.003154 .000019 .000717 .000882 .006158
lxrate1 | .000187 .000536 .001016 -.000201 -.007826 -.000889 .000764
lremote | .003322 -.001923 .004858 -.008984 -.041902 .000294 .000591
ldist | .006163 -.005139 -.00629 .012197 .012099 .002104 .00225
lopen | -.000591 .000901 .014514 .001849 -.085617 .001782 .000014
english | -.003264 .002208 -.000704 .011341 .014742 -.002713 .001323
white | .015205 -.015306 .052714 -.126199 -.220328 .008789 .001392
lwhitemg | -.001438 .000953 -.004136 .010672 .016654 -.000042 -.000099
_cons | -.146626 .329993 125.98 -11.504 -451.842 -.060479 .074625
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .039461
ldist | .02036 .049853
lopen | .006018 .002164 .010812
english | -.013486 .000776 -.004168 .032389
white | .076372 .012232 -.003061 -.008391 1.33789
lwhitemg | -.004507 .000812 .000636 .00099 -.117395 .010881
_cons | .062146 -.662017 .929788 -.132815 1.70252 -.156681 4206.01
. *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) = 2102.54
Log likelihood = -1585.553 Prob > chi2 = 0.0000
------
lrhomo_cx | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .438004 .05123 8.55 0.000 .337595 .5384129
lgdp | 1.088869 .092096 11.82 0.000 .9083639 1.269373
lgdpau | .1906484 .9699178 0.20 0.844 -1.710356 2.091652
lgdpdfrati~w | -.1582626 .4295937 -0.37 0.713 -1.000251 .6837255
lpopau | -5.383475 3.326411 -1.62 0.106 -11.90312 1.136172
lpop | .1037696 .1061572 0.98 0.328 -.1042947 .3118339
lxrate1 | .0764157 .0364127 2.10 0.036 .0050481 .1477833
lremote | -.9431888 .2085865 -4.52 0.000 -1.352011 -.5343668
ldist | -1.703206 .4476957 -3.80 0.000 -2.580673 -.8257385
lopen | .0753793 .0952706 0.79 0.429 -.1113476 .2621063
english | 1.313156 .280332 4.68 0.000 .7637152 1.862596
white | 8.847604 2.521005 3.51 0.000 3.906525 13.78868
lwhitemg | -1.093099 .2691693 -4.06 0.000 -1.620661 -.565537
_cons | 84.679 31.4987 2.69 0.007 22.9427 146.4153
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .002625
lgdp | -.002724 .008482
lgdpau | .002809 -.007179 .940741
lgdpdfrati~w | -.00258 .004358 -.027174 .184551
lpopau | -.010252 .013332 -3.12566 .172756 11.065
lpop | .000337 -.00586 .002437 -.0015 -.008921 .011269
lxrate1 | -.000264 .001229 .001761 .002631 -.013159 -.001373 .001326
lremote | .000169 .00813 -.028934 .002946 .073381 -.007056 .000694
ldist | .013221 -.012087 .009825 -.0031 -.075538 .013328 .001449
lopen | .000217 -.001448 -.010072 .002307 .010639 .00235 -.000304
english | -.001776 .002167 .018403 .007735 -.080884 .003637 .003216
white | .010689 -.020514 .220978 -.001245 -1.0155 .030397 .006276
lwhitemg | -.001303 .001441 -.02407 .000398 .108939 -.002457 -.000437
_cons | .013578 -.080535 27.4419 -2.417 -101.731 -.023086 .139922
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .043508
ldist | .017471 .200431
lopen | .001495 .000095 .009076
english | -.014495 .01521 -.003855 .078586
white | -.009023 .078485 -.000181 .097252 6.35547
lwhitemg | .001985 -.00943 .000421 -.00943 -.674421 .072452
_cons | -1.0716 -1.07919 .075034 .704296 10.2673 -1.08758 992.168
. **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) = 2226.79
Log likelihood = -1449.421 Prob > chi2 = 0.0000
------
lrrefp_lx | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .1628129 .0402733 4.04 0.000 .0838787 .2417472
lgdp | 1.389904 .087924 15.81 0.000 1.217576 1.562232
lgdpau | 1.680313 .7713904 2.18 0.029 .1684157 3.192211
lgdpdfrati~w | -.0509476 .2347562 -0.22 0.828 -.5110613 .4091661
lpopau | -9.769406 2.688034 -3.63 0.000 -15.03786 -4.500957
lpop | -.0900103 .1030929 -0.87 0.383 -.2920688 .1120481
lxrate1 | .027752 .0278212 1.00 0.319 -.0267765 .0822805
lremote | -.1323621 .179349 -0.74 0.461 -.4838797 .2191555
ldist | -2.480899 .4490231 -5.53 0.000 -3.360968 -1.60083
lopen | .0607295 .0689941 0.88 0.379 -.0744965 .1959554
english | 1.552062 .2621239 5.92 0.000 1.038309 2.065815
white | 9.967693 2.111206 4.72 0.000 5.829805 14.10558
lwhitemg | -1.025252 .2061517 -4.97 0.000 -1.429302 -.6212016
_cons | 115.739 25.68832 4.51 0.000 65.39076 166.0871
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .001622
lgdp | -.002029 .007731
lgdpau | .002384 .000018 .595043
lgdpdfrati~w | -.000888 .002385 -.020297 .05511
lpopau | -.016536 .000795 -2.00936 .077768 7.22553
lpop | .000756 -.006334 -.000677 -.001893 -.007852 .010628
lxrate1 | .000114 .000136 .000735 .001322 -.005307 -.000421 .000774
lremote | -.000083 .002782 -.018085 .007127 .053831 -.00402 .000073
ldist | .004145 -.002918 -.000626 .004473 -.059294 .007985 .002254
lopen | -.000046 .00043 .002166 .003633 -.011703 .000352 -.000154
english | -.0021 .003646 .001479 .001529 -.008683 -.000179 .001777
white | .008415 -.032918 .001267 .004494 -.087886 .03365 .009421
lwhitemg | -.000937 .002068 -.003027 -.000042 .019417 -.00201 -.000851
_cons | .200034 -.078956 17.9033 -.943163 -66.9539 .08156 .044779
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .032166
ldist | .011531 .201622
lopen | .002264 .000133 .00476
english | -.006092 .042466 -.002407 .068709
white | .033466 -.154051 -.00271 -.010707 4.45719
lwhitemg | -.000948 .015746 .000193 .001998 -.430715 .042499
_cons | -.814587 -1.13333 .101442 -.345358 2.72429 -.3922 659.89
. *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) = 3607.51
Log likelihood = -1553.897 Prob > chi2 = 0.0000
------
lrdiff_lx | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .4499551 .0542872 8.29 0.000 .3435541 .5563561
lgdp | 1.197469 .0662914 18.06 0.000 1.06754 1.327398
lgdpau | 2.29037 2.127072 1.08 0.282 -1.878614 6.459354
lgdpdfrati~w | -2.392264 .8202476 -2.92 0.004 -3.99992 -.7846083
lpopau | -9.140568 7.321585 -1.25 0.212 -23.49061 5.209475
lpop | -.3033459 .0775843 -3.91 0.000 -.4554083 -.1512836
lxrate1 | -.0362787 .0273435 -1.33 0.185 -.089871 .0173137
lremote | .0757543 .1927157 0.39 0.694 -.3019615 .4534702
ldist | -2.276796 .2184333 -10.42 0.000 -2.704917 -1.848675
lopen | .2151254 .105044 2.05 0.041 .0092429 .4210079
english | .7573596 .1935841 3.91 0.000 .3779418 1.136777
white | 2.613305 1.157273 2.26 0.024 .3450916 4.881519
lwhitemg | -.272828 .1040809 -2.62 0.009 -.4768228 -.0688331
_cons | 94.96786 67.27921 1.41 0.158 -36.89698 226.8327
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .002947
lgdp | -.002278 .004395
lgdpau | -.003172 .00553 4.52443
lgdpdfrati~w | -.003555 .002764 -.214693 .672806
lpopau | .012203 -.029166 -15.3491 .971117 53.6056