log: K:\Roger-Australia\Robustness-1\Malaysia-Mexico.log
opened on: 18 Aug 2006, 18:28:46
. clear
. *Estimating the Australian Immigration Trade relationship;
. insheet using k:\book2.txt
(54 vars, 11640 obs)
. drop if ccode ==.
(10630 observations deleted)
.
. **Dropping Malaysia
. drop if ccode==454580
(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) = 6826.57
Log likelihood = -1027.953 Prob > chi2 = 0.0000
------
lrexp | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .5380819 .0389584 13.81 0.000 .4617248 .6144391
lgdp | 1.056743 .0389633 27.12 0.000 .9803769 1.13311
lgdpau | -3.465472 .883595 -3.92 0.000 -5.197287 -1.733658
lgdpdfrati~w | -1.687093 .3414137 -4.94 0.000 -2.356251 -1.017934
lpopau | 5.177608 3.093828 1.67 0.094 -.8861835 11.2414
lpop | -.0060315 .0430601 -0.14 0.889 -.0904277 .0783647
lxrate1 | .0009573 .0158299 0.06 0.952 -.0300688 .0319834
lremote | .1343703 .0830662 1.62 0.106 -.0284364 .2971771
ldist | -1.402532 .1537297 -9.12 0.000 -1.703836 -1.101227
lopen | .9004551 .0918161 9.81 0.000 .7204988 1.080411
english | .1880141 .0969334 1.94 0.052 -.0019718 .378
white | 3.128208 .5851449 5.35 0.000 1.981345 4.275071
lwhitemg | -.3856198 .0528108 -7.30 0.000 -.4891272 -.2821124
_cons | -.3093263 28.90388 -0.01 0.991 -56.9599 56.34125
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .001518
lgdp | -.000903 .001518
lgdpau | -.003705 .003285 .78074
lgdpdfrati~w | .00093 -.001301 -.020242 .116563
lpopau | .014783 -.014133 -2.68768 .123826 9.57177
lpop | .000139 -.000836 .000072 -.000019 -.002629 .001854
lxrate1 | .000032 .000144 -.000422 -.000047 .001879 -.000012 .000251
lremote | -.000457 .001336 .005399 -.002557 -.029405 -.000071 -7.7e-06
ldist | .003913 -.002525 -.008798 .004334 .029306 .002473 .00073
lopen | -.000881 .000761 .014425 -.001765 -.077151 .000449 -.000304
english | -.000632 .001347 -.004159 .000754 .025209 -.000804 .000583
white | .008184 -.002845 -.019297 -.008168 .064629 .011211 .002379
lwhitemg | -.000892 .000304 .001858 .000428 -.006125 -.000996 -.0002
_cons | -.176321 .145968 24.1301 -1.64399 -88.2883 .007963 -.031694
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .0069
ldist | .001662 .023633
lopen | .002917 -.001303 .00843
english | -.000162 .002266 -.00391 .009396
white | .013142 .040814 -.006946 .005818 .342395
lwhitemg | -.000947 -.004045 .000578 -.000279 -.030503 .002789
_cons | .247705 -.514717 .882668 -.353792 -1.27069 .117756 835.435
. **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) = 6810.73
Log likelihood = -1461.555 Prob > chi2 = 0.0000
------
lrrefp_cx | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .3346694 .045457 7.36 0.000 .2455752 .4237636
lgdp | 1.074612 .0675377 15.91 0.000 .9422403 1.206983
lgdpau | -.3507923 .5092238 -0.69 0.491 -1.348853 .6472681
lgdpdfrati~w | -.1479922 .2994442 -0.49 0.621 -.7348921 .4389077
lpopau | 3.517279 1.837158 1.91 0.056 -.0834844 7.118042
lpop | .0594998 .0949977 0.63 0.531 -.1266923 .2456919
lxrate1 | -.0280994 .0301024 -0.93 0.351 -.087099 .0309003
lremote | -.2158343 .166384 -1.30 0.195 -.5419408 .1102723
ldist | -2.853438 .4270352 -6.68 0.000 -3.690411 -2.016464
lopen | -.091449 .0550683 -1.66 0.097 -.1993809 .0164828
english | .6154285 .180901 3.40 0.001 .2608691 .9699878
white | 7.786853 1.090515 7.14 0.000 5.649483 9.924224
lwhitemg | -.8341217 .1158348 -7.20 0.000 -1.061154 -.6070896
_cons | -42.7639 18.61478 -2.30 0.022 -79.24821 -6.2796
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .002066
lgdp | -.001543 .004561
lgdpau | .001159 -.001413 .259309
lgdpdfrati~w | -.001839 .003017 -.024467 .089667
lpopau | -.005304 .004077 -.899601 .108309 3.37515
lpop | -.000159 -.004858 .00359 -.00125 -.019539 .009025
lxrate1 | .000138 .000365 .000582 .002661 -.006508 -.000543 .000906
lremote | .000113 .00026 -.021954 .002968 .092891 -.003512 .000667
ldist | .009064 -.011193 .002354 .003772 -.03025 .005974 .002739
lopen | .000045 -.000224 .002584 .001052 -.011796 .001123 -.000388
english | -.001123 -.001547 .006048 .004291 -.04645 .003419 .001587
white | .010184 -.025538 .02234 -.003181 -.156248 .032474 .001794
lwhitemg | -.00149 .001955 -.004583 .000571 .023167 -.00205 -.000134
_cons | -.001897 .051137 8.28634 -1.35867 -32.773 .175608 .054275
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .027684
ldist | .006207 .182359
lopen | -.002105 -.000309 .003033
english | -.004768 -.001017 -.00061 .032725
white | -.011597 .05447 .002693 .040108 1.18922
lwhitemg | .004112 -.006472 -.000608 -.001891 -.120967 .013418
_cons | -1.22629 -1.25843 .138781 .628332 1.57955 -.242459 346.51
. *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) = 3483.76
Log likelihood = -1566.753 Prob > chi2 = 0.0000
------
lrdiff_cx | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .4515474 .0552879 8.17 0.000 .3431851 .5599098
lgdp | 1.091058 .0636909 17.13 0.000 .9662261 1.21589
lgdpau | 2.506192 2.06038 1.22 0.224 -1.532079 6.544462
lgdpdfrati~w | -1.837241 .8355986 -2.20 0.028 -3.474985 -.1994981
lpopau | -8.773734 7.087826 -1.24 0.216 -22.66562 5.11815
lpop | -.1599626 .0808271 -1.98 0.048 -.3183809 -.0015444
lxrate1 | -.0612927 .0288217 -2.13 0.033 -.1177823 -.0048031
lremote | .0223296 .2026808 0.11 0.912 -.3749174 .4195766
ldist | -2.209353 .2434304 -9.08 0.000 -2.686468 -1.732238
lopen | .0702261 .0896375 0.78 0.433 -.1054601 .2459124
english | .6857767 .1822993 3.76 0.000 .3284766 1.043077
white | 2.475008 1.157943 2.14 0.033 .2054804 4.744535
lwhitemg | -.2373217 .1056729 -2.25 0.025 -.4444367 -.0302066
_cons | 82.58728 65.1976 1.27 0.205 -45.19766 210.3722
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .003057
lgdp | -.002107 .004057
lgdpau | -.00295 .00564 4.24517
lgdpdfrati~w | -.003571 .001423 -.178359 .698225
lpopau | .009546 -.027184 -14.3838 .884443 50.2373
lpop | .000158 -.003417 -.00062 .001554 .005391 .006533
lxrate1 | .000208 .000471 .000873 -.000556 -.007114 -.000815 .000831
lremote | .004267 -.002705 .002085 -.008413 -.027289 -.000363 .000979
ldist | .006715 -.006083 -.006202 .011694 .014266 .002849 .003173
lopen | -.000351 .000727 .015449 .003047 -.077689 .001072 -.000201
english | -.00317 .002553 .000845 .01072 .007004 -.003264 .001241
white | .021071 -.020574 .033446 -.125544 -.16486 .010696 .002692
lwhitemg | -.001933 .001397 -.002816 .010571 .013648 -.000258 -.000161
_cons | -.153556 .356272 127.38 -10.8047 -456.592 -.121998 .054477
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .041079
ldist | .021923 .059258
lopen | .003615 -.000206 .008035
english | -.014562 .001779 -.003159 .033233
white | .080158 .031769 -.002278 -.013735 1.34083
lwhitemg | -.004577 -.00068 .000267 .001162 -.118822 .011167
_cons | -.117716 -.802473 .827964 -.042595 1.12119 -.130508 4250.73
. *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) = 1981.36
Log likelihood = -1626.002 Prob > chi2 = 0.0000
------
lrhomo_cx | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .4605187 .0527645 8.73 0.000 .3571022 .5639352
lgdp | .9142841 .096725 9.45 0.000 .7247066 1.103862
lgdpau | -.0810916 1.067769 -0.08 0.939 -2.17388 2.011697
lgdpdfrati~w | -.2687704 .4602578 -0.58 0.559 -1.170859 .6333183
lpopau | -5.520167 3.653709 -1.51 0.131 -12.68131 1.640971
lpop | .179387 .1069203 1.68 0.093 -.030173 .388947
lxrate1 | .0637344 .0369867 1.72 0.085 -.0087582 .1362269
lremote | -1.044272 .234342 -4.46 0.000 -1.503574 -.5849706
ldist | -1.546368 .5094567 -3.04 0.002 -2.544884 -.5478509
lopen | .000473 .0908306 0.01 0.996 -.1775517 .1784976
english | .8821475 .2990343 2.95 0.003 .2960509 1.468244
white | 13.34231 2.608172 5.12 0.000 8.230386 18.45423
lwhitemg | -1.543872 .2786291 -5.54 0.000 -2.089975 -.997769
_cons | 96.4046 34.43112 2.80 0.005 28.92085 163.8883
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .002784
lgdp | -.003063 .009356
lgdpau | .006531 -.01196 1.14013
lgdpdfrati~w | -.003537 .007466 -.043425 .211837
lpopau | -.025721 .028614 -3.78485 .245012 13.3496
lpop | .000392 -.005752 .000569 -.002842 -.001589 .011432
lxrate1 | -.000066 .001145 .003402 .002694 -.020643 -.001421 .001368
lremote | .000452 .007935 -.037727 .0119 .106429 -.006349 .000563
ldist | .015146 -.010948 .027603 -.005188 -.169783 .013059 .002478
lopen | -8.6e-06 -.001049 -.019604 .006496 .049974 .002054 -.000292
english | -.00261 .004252 .016902 .004992 -.086122 .005172 .002903
white | .010522 -.02607 .100733 -.012629 -.438024 .034787 .003744
lwhitemg | -.00118 .001685 -.01106 .001445 .048385 -.002862 -.000249
_cons | .158623 -.239768 33.1736 -3.31668 -122.133 -.103828 .21399
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .054916
ldist | .027019 .259546
lopen | .001062 -.001687 .00825
english | -.013787 .015593 -.003311 .089422
white | -.007947 .052149 -.001046 .124619 6.80256
lwhitemg | .002936 -.00719 .000393 -.013048 -.721345 .077634
_cons | -1.59815 -.661381 -.315202 .759594 4.14106 -.453731 1185.5
. **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) = 2033.25
Log likelihood = -1464.865 Prob > chi2 = 0.0000
------
lrrefp_lx | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .3741943 .0476936 7.85 0.000 .2807165 .4676721
lgdp | .8710552 .0814049 10.70 0.000 .7115046 1.030606
lgdpau | -.3223648 .4515432 -0.71 0.475 -1.207373 .5626436
lgdpdfrati~w | .1850165 .2414505 0.77 0.444 -.2882178 .6582508
lpopau | -1.825523 1.610675 -1.13 0.257 -4.982388 1.331342
lpop | .2068031 .0997222 2.07 0.038 .0113513 .402255
lxrate1 | -.0143445 .0272735 -0.53 0.599 -.0677997 .0391106
lremote | -.1979573 .1534626 -1.29 0.197 -.4987385 .102824
ldist | -1.941155 .5097301 -3.81 0.000 -2.940208 -.9421026
lopen | .018509 .0475494 0.39 0.697 -.074686 .1117041
english | .95609 .2434449 3.93 0.000 .4789467 1.433233
white | 10.74439 2.035683 5.28 0.000 6.754521 14.73425
lwhitemg | -1.063862 .1991456 -5.34 0.000 -1.45418 -.6735435
_cons | 37.84622 16.46403 2.30 0.022 5.577314 70.11512
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .002275
lgdp | -.002355 .006627
lgdpau | .001384 -.003955 .203891
lgdpdfrati~w | -.00182 .004386 -.022184 .058298
lpopau | -.006435 .013882 -.705554 .095179 2.59427
lpop | .00061 -.005759 .005125 -.003446 -.02576 .009945
lxrate1 | .000126 .000054 .001461 .001539 -.008042 -.00019 .000744
lremote | .000745 .000112 -.019437 .001942 .075127 -.002886 .000144
ldist | .007352 -.011714 .00123 -.002119 -.023029 .009155 .00253
lopen | -.000022 -.000058 .001976 .000893 -.008725 .000726 -.000172
english | -.001801 -.000423 .00899 .003449 -.035904 .002235 .001818
white | .009106 -.02784 .024306 -.003899 -.141469 .034549 .010153
lwhitemg | -.001096 .001765 -.003424 .000225 .017708 -.002114 -.000894
_cons | .026867 -.067514 6.53337 -1.09759 -24.9144 .204847 .065857
| lremote ldist lopen english white lwhitemg _cons
------+------
lremote | .023551
ldist | .012343 .259825
lopen | -.00169 -.001368 .002261
english | -.006357 .025644 -.000262 .059265
white | .029669 -.223591 -.003822 .021925 4.144
lwhitemg | -.000916 .023878 .000133 -.000061 -.400936 .039659
_cons | -1.02473 -2.18117 .112063 .125754 3.57415 -.421952 271.064
. *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) = 3155.01
Log likelihood = -1583.919 Prob > chi2 = 0.0000
------
lrdiff_lx | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------+------
limmig | .4111446 .0582557 7.06 0.000 .2969656 .5253236
lgdp | 1.190639 .0700852 16.99 0.000 1.053274 1.328003
lgdpau | 2.256448 2.146343 1.05 0.293 -1.950307 6.463204
lgdpdfrati~w | -1.944025 .8411353 -2.31 0.021 -3.59262 -.2954299
lpopau | -8.107295 7.381536 -1.10 0.272 -22.57484 6.36025
lpop | -.2706467 .0826541 -3.27 0.001 -.4326458 -.1086476
lxrate1 | -.0218555 .0289826 -0.75 0.451 -.0786604 .0349494
lremote | .152038 .1984954 0.77 0.444 -.2370059 .5410818
ldist | -2.154055 .2446207 -8.81 0.000 -2.633503 -1.674607
lopen | .0795658 .0979725 0.81 0.417 -.1124568 .2715884
english | .8288626 .1986066 4.17 0.000 .4396009 1.218124
white | 2.651152 1.174332 2.26 0.024 .3495038 4.952799
lwhitemg | -.2401559 .1077341 -2.23 0.026 -.4513109 -.029001
_cons | 75.9919 67.90687 1.12 0.263 -57.10313 209.0869
------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
------+------
limmig | .003394
lgdp | -.002678 .004912
lgdpau | -.003734 .006587 4.60679
lgdpdfrati~w | -.003818 .002461 -.182438 .707509
lpopau | .013135 -.03217 -15.6009 .883694 54.4871
lpop | .000826 -.004114 -.00094 -.000459 .006988 .006832