lgdpdfrati~w | -.6441425 .3642994 -1.77 0.077 -1.358156 .0698711
lpopau | 6.833634 2.709934 2.52 0.012 1.52226 12.14501
lpop | .2431821 .1282559 1.90 0.058 -.008195 .4945591
lxrate1 | -.1509348 .0342914 -4.40 0.000 -.2181447 -.0837249
lremote | .2009315 .2310173 0.87 0.384 -.2518541 .6537171
ldist | -2.973193 .4687887 -6.34 0.000 -3.892002 -2.054384
lopen | .1130654 .0931619 1.21 0.225 -.0695286 .2956593
english | .646509 .2691401 2.40 0.016 .1190041 1.174014
white | 12.75229 1.948529 6.54 0.000 8.933241 16.57134
lwhitemg | -1.221835 .1846872 -6.62 0.000 -1.583815 -.8598542
_cons | -85.88579 25.83568 -3.32 0.001 -136.5228 -35.24879
------------------------------------------------------------------------------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
-------------+---------------------------------------------------------------
limmig | .005787
lgdp | -.006305 .018773
lgdpau | -.005168 .005479 .644281
lgdpdfrati~w | -.000115 -.001807 .037623 .132714
lpopau | .016331 -.026634 -2.09708 -.054936 7.34374
lpop | .001177 -.011805 -.000241 .002394 .00157 .01645
lxrate1 | .000494 .000944 .000317 .000397 -.002626 -.001277 .001176
lremote | .001147 .006307 -.032882 -.027275 .030103 -.006832 .001735
ldist | .015991 -.009564 -.02717 -.005051 .084873 .001014 .000974
lopen | 9.4e-06 .000099 .00173 .001735 -.028167 .001582 -.00052
english | -.006255 .016466 .001542 -.00367 -.008539 -.009776 -.000421
white | .02877 -.053453 -.055479 -.03394 .095545 .053927 -.002386
lwhitemg | -.002649 .002449 .001955 .000626 -.004163 -.002904 .000116
_cons | -.209935 .126189 18.3053 .079517 -67.3886 .034112 .002516
| lremote ldist lopen english white lwhitemg _cons
-------------+---------------------------------------------------------------
lremote | .053369
ldist | .025149 .219763
lopen | .002592 .000441 .008679
english | .006324 .023274 -.004555 .072436
white | .038801 .096406 -.005656 .04789 3.79677
lwhitemg | -.000269 -.011446 .000397 -.00696 -.348973 .034109
_cons | -.364604 -2.91326 .376088 -.373147 -1.2088 .139697 667.482
. xtgls lrxsitc6 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) = 799.89
Log likelihood = -1128.869 Prob > chi2 = 0.0000
------------------------------------------------------------------------------
lrxsitc6 | Coef. Std. Err. z P>|z| [95% Conf. Interval]
-------------+----------------------------------------------------------------
limmig | .2591756 .0750176 3.45 0.001 .1121438 .4062075
lgdp | .6202399 .1129434 5.49 0.000 .3988748 .8416049
lgdpau | .3646009 1.20602 0.30 0.762 -1.999155 2.728357
lgdpdfrati~w | -1.142476 .5766636 -1.98 0.048 -2.272716 -.0122357
lpopau | 1.662762 4.112134 0.40 0.686 -6.396873 9.722397
lpop | -.0817263 .1212333 -0.67 0.500 -.3193392 .1558866
lxrate1 | -.0330489 .03801 -0.87 0.385 -.107547 .0414493
lremote | .3952962 .2862489 1.38 0.167 -.1657413 .9563337
ldist | -2.602093 .440432 -5.91 0.000 -3.465323 -1.738862
lopen | -.0849379 .0874569 -0.97 0.331 -.2563503 .0864744
english | 1.0919 .2902986 3.76 0.000 .5229254 1.660875
white | 11.35908 1.331041 8.53 0.000 8.750283 13.96787
lwhitemg | -1.121804 .1282524 -8.75 0.000 -1.373174 -.8704342
_cons | -24.68652 38.47115 -0.64 0.521 -100.0886 50.71554
------------------------------------------------------------------------------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
-------------+---------------------------------------------------------------
limmig | .005628
lgdp | -.005564 .012756
lgdpau | -.005398 .008597 1.45449
lgdpdfrati~w | -.003801 .004659 .040064 .332541
lpopau | .01354 -.032518 -4.81526 .053295 16.9096
lpop | .001314 -.009465 -.003944 -.000638 .012684 .014698
lxrate1 | .00058 .000764 .001667 .00039 -.011049 -.001255 .001445
lremote | .004765 -.001859 -.030479 -.047995 -.002009 -.00234 .001893
ldist | .015058 -.00964 -.028396 -.02536 .05476 .003639 .000881
lopen | -.000283 .000857 .00141 .000842 -.025136 .000565 -.000287
english | -.00662 .011198 .005078 .001109 -.006054 -.005952 -.000837
white | .029332 -.054388 -.055901 -.039658 .112549 .058307 -.001789
lwhitemg | -.002452 .003267 .002167 -.000952 -.007599 -.004103 .000201
_cons | -.195241 .307856 42.1101 -1.69926 -154.353 -.141081 .108823
| lremote ldist lopen english white lwhitemg _cons
-------------+---------------------------------------------------------------
lremote | .081938
ldist | .048427 .19398
lopen | .003675 .001098 .007649
english | .001291 .032162 -.003098 .084273
white | .076873 .116201 -.007632 .02516 1.77167
lwhitemg | -.001086 -.011004 .000504 -.003809 -.16309 .016449
_cons | -.250487 -2.34947 .318704 -.486761 -2.03652 .192518 1480.03
. xtgls lrxsitc7 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) = 425.13
Log likelihood = -1195.462 Prob > chi2 = 0.0000
------------------------------------------------------------------------------
lrxsitc7 | Coef. Std. Err. z P>|z| [95% Conf. Interval]
-------------+----------------------------------------------------------------
limmig | .2029744 .052201 3.89 0.000 .1006623 .3052865
lgdp | .326098 .1030909 3.16 0.002 .1240436 .5281525
lgdpau | -2.123164 1.341189 -1.58 0.113 -4.751846 .5055179
lgdpdfrati~w | -2.185171 .6109832 -3.58 0.000 -3.382676 -.9876654
lpopau | 6.399016 4.582474 1.40 0.163 -2.582469 15.3805
lpop | .1226935 .0778904 1.58 0.115 -.0299688 .2753558
lxrate1 | -.1037428 .0384885 -2.70 0.007 -.1791787 -.0283068
lremote | 1.027336 .2650383 3.88 0.000 .5078702 1.546801
ldist | -1.403949 .4234064 -3.32 0.001 -2.23381 -.5740875
lopen | -.0171923 .1200311 -0.14 0.886 -.2524489 .2180642
english | .6793224 .1907642 3.56 0.000 .3054314 1.053213
white | 7.711173 1.35314 5.70 0.000 5.059067 10.36328
lwhitemg | -.6243073 .1311665 -4.76 0.000 -.8813888 -.3672258
_cons | -48.0326 42.56358 -1.13 0.259 -131.4557 35.39048
------------------------------------------------------------------------------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
-------------+---------------------------------------------------------------
limmig | .002725
lgdp | -.002636 .010628
lgdpau | -.003929 .006263 1.79879
lgdpdfrati~w | -.001375 -.000041 .086697 .373301
lpopau | .014555 -.038935 -6.00185 -.150809 20.9991
lpop | .000501 -.005411 -.000504 -.000885 .003821 .006067
lxrate1 | .000214 .001547 .000776 .000626 -.006184 -.001556 .001481
lremote | .000666 .001022 -.029291 -.048009 .048995 .001033 -.000637
ldist | .013227 -.006153 -.028282 -.028087 .049857 .004297 .002069
lopen | -.000072 .000443 .009202 .000124 -.065499 .002906 -.000484
english | -.003285 .005569 .007113 .006824 -.022468 .000969 .000921
white | .013256 -.02951 -.030186 -.056157 .096288 .029671 -.005072
lwhitemg | -.001482 .000892 -.000481 .000793 .002743 -.001748 .000092
_cons | -.234187 .386038 52.7001 .546811 -191.028 -.068188 .050829
| lremote ldist lopen english white lwhitemg _cons
-------------+---------------------------------------------------------------
lremote | .070245
ldist | .044677 .179273
lopen | .005661 .008791 .014407
english | -.008294 -.003358 -.002967 .036391
white | .046394 .108448 .002373 .047013 1.83099
lwhitemg | .001514 -.011144 -.000301 -.005126 -.168027 .017205
_cons | -1.07487 -2.16764 .669524 .141903 -2.08564 .077833 1811.66
. xtgls lrxsitc8 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) = 530.00
Log likelihood = -976.6334 Prob > chi2 = 0.0000
------------------------------------------------------------------------------
lrxsitc8 | Coef. Std. Err. z P>|z| [95% Conf. Interval]
-------------+----------------------------------------------------------------
limmig | .1134131 .050612 2.24 0.025 .0142154 .2126109
lgdp | .4971646 .0987794 5.03 0.000 .3035605 .6907687
lgdpau | -1.432548 1.352495 -1.06 0.290 -4.083389 1.218293
lgdpdfrati~w | -1.143437 .5557201 -2.06 0.040 -2.232628 -.0542453
lpopau | 4.611357 4.648493 0.99 0.321 -4.499521 13.72224
lpop | .1107171 .0952986 1.16 0.245 -.0760647 .2974989
lxrate1 | -.0367467 .0384128 -0.96 0.339 -.1120344 .038541
lremote | -.8867508 .3014944 -2.94 0.003 -1.477669 -.2958327
ldist | -3.260198 .438831 -7.43 0.000 -4.12029 -2.400105
lopen | -.0777681 .1078637 -0.72 0.471 -.289177 .1336409
english | .7571345 .1987919 3.81 0.000 .3675096 1.146759
white | 11.22934 1.711715 6.56 0.000 7.874437 14.58424
lwhitemg | -1.118701 .1520317 -7.36 0.000 -1.416677 -.8207239
_cons | -8.341462 43.61113 -0.19 0.848 -93.8177 77.13478
------------------------------------------------------------------------------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
-------------+---------------------------------------------------------------
limmig | .002562
lgdp | -.002504 .009757
lgdpau | -.00312 .005912 1.82924
lgdpdfrati~w | -.001167 .000352 -.031853 .308825
lpopau | .010861 -.029363 -6.14156 .190871 21.6085
lpop | -.000207 -.005744 -.001406 .0004 .005829 .009082
lxrate1 | -3.1e-06 .001469 .002265 .001693 -.013236 -.001458 .001476
lremote | .003872 -.000194 -.021002 -.035788 .052092 -.001916 -.001472
ldist | .011923 -.008714 -.023217 -.014212 .061114 .001414 -.000916
lopen | -.000147 -.00027 .005733 .005245 -.049678 .002236 -.000096
english | -.002638 .003044 .007455 .006225 -.024306 -.000762 .002187
white | .01205 -.035862 .018164 -.022669 -.008103 .036423 -.005664
lwhitemg | -.000987 .001251 -.003254 -.000484 .007304 -.002226 .000305
_cons | -.199716 .297462 54.2302 -2.2128 -198.159 -.065019 .165175
| lremote ldist lopen english white lwhitemg _cons
-------------+---------------------------------------------------------------
lremote | .090899
ldist | .051198 .192573
lopen | .003837 .00256 .011635
english | -.019185 .0036 -.002944 .039518
white | .033326 .107192 -.001265 .035355 2.92997
lwhitemg | .001699 -.009723 .00027 -.003545 -.251372 .023114
_cons | -1.53742 -2.57025 .592478 .270038 -1.49176 .057203 1901.93
. xtgls lrxsitc9 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) = 804.45
Log likelihood = -1574.808 Prob > chi2 = 0.0000
------------------------------------------------------------------------------
lrxsitc9 | Coef. Std. Err. z P>|z| [95% Conf. Interval]
-------------+----------------------------------------------------------------
limmig | .4338216 .0685145 6.33 0.000 .2995357 .5681075
lgdp | .2201487 .1272093 1.73 0.084 -.0291769 .4694743
lgdpau | -2.488396 1.765669 -1.41 0.159 -5.949043 .9722524
lgdpdfrati~w | -1.157035 .5955205 -1.94 0.052 -2.324234 .0101636
lpopau | 18.9033 6.023686 3.14 0.002 7.097095 30.70951
lpop | .4732955 .1206824 3.92 0.000 .2367624 .7098287
lxrate1 | -.1272759 .0430326 -2.96 0.003 -.2116182 -.0429335
lremote | .3912784 .3127333 1.25 0.211 -.2216675 1.004224
ldist | -1.874136 .4512256 -4.15 0.000 -2.758522 -.9897499
lopen | -.1016611 .1411932 -0.72 0.472 -.3783946 .1750724
english | .2121777 .2787258 0.76 0.447 -.3341148 .7584703
white | 17.07092 2.555423 6.68 0.000 12.06238 22.07946
lwhitemg | -1.63152 .2476757 -6.59 0.000 -2.116955 -1.146084
_cons | -243.6792 55.86321 -4.36 0.000 -353.1691 -134.1893
------------------------------------------------------------------------------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
-------------+---------------------------------------------------------------
limmig | .004694
lgdp | -.005424 .016182
lgdpau | -.006421 .009101 3.11759
lgdpdfrati~w | -.002233 .003174 -.038641 .354645
lpopau | .020358 -.042521 -10.3911 .146173 36.2848
lpop | .001762 -.010796 -.003615 -.001854 .008777 .014564
lxrate1 | -.000095 .001648 -.000928 .003423 -.005528 -.00141 .001852
lremote | .005234 -.002041 -.046862 -.019439 .054944 .001718 .001265
ldist | .016535 -.011628 -.03476 -.002394 .094502 .009386 -.000658
lopen | -.000388 -.000331 .007152 .008876 -.047965 .003753 -.000305
english | -.00484 .011261 .009521 .001295 -.054645 -.005425 .001556
white | .018426 -.048015 -.059965 -.048779 -.064545 .058851 .005216
lwhitemg | -.001391 .001806 .000505 .001556 .013433 -.003116 -.000464
_cons | -.303513 .420547 91.2552 -1.61057 -330.277 -.142685 .085923
| lremote ldist lopen english white lwhitemg _cons
-------------+---------------------------------------------------------------
lremote | .097802
ldist | .048479 .203605
lopen | .00647 .005319 .019936
english | -.01236 .024304 -.005154 .077688
white | .134536 -.013976 -.001395 -.019031 6.53019
lwhitemg | -.004563 .002233 .000325 .001197 -.62158 .061343
_cons | -.986757 -3.0038 .4574 .359794 1.65605 -.199122 3120.7
.
. clear
. *Estimating the Australian Immigration Trade relationship;
. insheet using f:\book2.txt
(54 vars, 11640 obs)
. drop if ccode ==.
(10630 observations deleted)
.
. **Droping Barbados
. drop if ccode== 350520
(10 observations deleted)
.
..
.
. ** Estimation Results
. **Regression of Exports without Distinction between "white" and "non-white Au
> stralia"
. 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 l
> remote ldist lopen english white lwhitemg, igls panels(hetero)corr(psar1)nolo
> g
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) = 6794.57
Log likelihood = -1016.362 Prob > chi2 = 0.0000
------------------------------------------------------------------------------
lrexp | Coef. Std. Err. z P>|z| [95% Conf. Interval]
-------------+----------------------------------------------------------------
limmig | .5266272 .0386094 13.64 0.000 .4509541 .6023003
lgdp | 1.068463 .0361087 29.59 0.000 .9976916 1.139235
lgdpau | -3.264797 .871049 -3.75 0.000 -4.972021 -1.557572
lgdpdfrati~w | -1.800508 .335988 -5.36 0.000 -2.459033 -1.141984
lpopau | 4.245697 3.03602 1.40 0.162 -1.704793 10.19619
lpop | .0080031 .0406399 0.20 0.844 -.0716497 .0876558
lxrate1 | .0084427 .0151224 0.56 0.577 -.0211966 .038082
lremote | .1409687 .081101 1.74 0.082 -.0179863 .2999236
ldist | -1.432658 .1417254 -10.11 0.000 -1.710434 -1.154881
lopen | .9038637 .0784676 11.52 0.000 .7500701 1.057657
english | .1928502 .0857917 2.25 0.025 .0247017 .3609988
white | 3.316727 .5745658 5.77 0.000 2.190598 4.442855
lwhitemg | -.3999859 .0520264 -7.69 0.000 -.5019557 -.298016
_cons | 9.799967 28.18424 0.35 0.728 -45.44012 65.04005
------------------------------------------------------------------------------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
-------------+---------------------------------------------------------------
limmig | .001491
lgdp | -.000849 .001304
lgdpau | -.003207 .002504 .758726
lgdpdfrati~w | .000858 -.001047 -.024786 .112888
lpopau | .012235 -.010086 -2.60193 .133975 9.21742
lpop | .000046 -.000641 .000875 .000057 -.006522 .001652
lxrate1 | -4.5e-06 .000185 -.000023 -.000121 -.000137 -.000077 .000229
lremote | -.000347 .00102 .004377 -.002016 -.023945 .000172 .000041
ldist | .003601 -.00258 -.005945 .00506 .014115 .002184 .000376
lopen | -.000579 .000353 .010429 -.001144 -.056813 .000845 -.000078
english | -.000737 .000967 -.003321 .001093 .020644 -.000566 .000418
white | .007277 -.002005 -.007507 -.00527 .008008 .009876 .001321
lwhitemg | -.000816 .000249 .000899 .000114 -.001504 -.000886 -.000106
_cons | -.144125 .1034 23.2674 -1.70673 -84.5564 .051948 -.004976
| lremote ldist lopen english white lwhitemg _cons
-------------+---------------------------------------------------------------
lremote | .006577
ldist | .002078 .020086
lopen | .002349 .000882 .006157
english | -.000424 -.000232 -.003089 .00736
white | .014861 .033068 -.000501 .002698 .330126
lwhitemg | -.001068 -.003318 .000028 .000057 -.029489 .002707
_cons | .184234 -.295423 .631235 -.266375 -.565652 .058708 794.351
. **II. Conservative Estimates
. *2.1. Aggregate reference priced Exports (conservative)
. xtgls lrrefp_cx limmig lgdp lgdpau lgdpdfrationew lpopau lpop lxrate1
> lremote ldist lopen english white lwhitemg, igls panels(hetero)corr(psar1)nol
> og
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) = 5808.23
Log likelihood = -1448.839 Prob > chi2 = 0.0000
------------------------------------------------------------------------------
lrrefp_cx | Coef. Std. Err. z P>|z| [95% Conf. Interval]
-------------+----------------------------------------------------------------
limmig | .3403187 .0442731 7.69 0.000 .2535451 .4270924
lgdp | 1.074866 .0662708 16.22 0.000 .9449776 1.204754
lgdpau | -.4613042 .4707457 -0.98 0.327 -1.383949 .4613404
lgdpdfrati~w | -.1968254 .2899942 -0.68 0.497 -.7652036 .3715528
lpopau | 3.572396 1.706992 2.09 0.036 .2267534 6.918039
lpop | .0789792 .0888659 0.89 0.374 -.0951948 .2531532
lxrate1 | -.0428252 .0290766 -1.47 0.141 -.0998144 .0141639
lremote | -.2052859 .1607414 -1.28 0.202 -.5203333 .1097614
ldist | -3.105959 .3862908 -8.04 0.000 -3.863075 -2.348843
lopen | -.0730809 .052886 -1.38 0.167 -.1767356 .0305738
english | .5755976 .1831601 3.14 0.002 .2166104 .9345847
white | 7.829489 1.090812 7.18 0.000 5.691536 9.967442
lwhitemg | -.8366914 .116714 -7.17 0.000 -1.065447 -.6079362
_cons | -38.66422 17.36402 -2.23 0.026 -72.69706 -4.63137
------------------------------------------------------------------------------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1
-------------+---------------------------------------------------------------
limmig | .00196
lgdp | -.001492 .004392
lgdpau | .000978 -.001455 .221602
lgdpdfrati~w | -.001906 .003141 -.022235 .084097
lpopau | -.004021 .002467 -.771383 .098493 2.91382
lpop | -.000192 -.004294 .003532 -.001297 -.017701 .007897
lxrate1 | .000078 .000414 .000466 .002599 -.005819 -.000564 .000845
lremote | .000149 .00024 -.020625 .002328 .088366 -.003403 .000635
ldist | .009067 -.010674 .004554 .002394 -.030304 .005499 .002212
lopen | .000082 -.000318 .002563 .001042 -.011314 .001134 -.000376
english | -.000969 -.001614 .005757 .004403 -.045457 .003599 .001654
white | .009526 -.023299 .020937 -.003966 -.140409 .028314 .001368
lwhitemg | -.001389 .001771 -.004195 .000589 .021025 -.001794 -.000078
_cons | -.018737 .068642 7.11627 -1.23118 -28.4304 .155391 .050892
| lremote ldist lopen english white lwhitemg _cons
-------------+---------------------------------------------------------------
lremote | .025838
ldist | .003221 .149221
lopen | -.002239 .00072 .002797
english | -.004002 .004216 -.000646 .033548
white | -.010935 .058475 .002892 .041119 1.18987
lwhitemg | .003825 -.007293 -.000632 -.002024 -.122203 .013622
_cons | -1.14176 -.972395 .124293 .56028 1.32852 -.207115 301.509
. *2.2. Aggregate Differentiated Exports (conservative)
. xtgls lrdiff_cx limmig lgdp lgdpau lgdpdfrationew lpopau lpop lxrate1
> lremote ldist lopen english white lwhitemg, igls panels(hetero)corr(psar1)nol
> og
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) = 3525.32
Log likelihood = -1553.221 Prob > chi2 = 0.0000
------------------------------------------------------------------------------
lrdiff_cx | Coef. Std. Err. z P>|z| [95% Conf. Interval]
-------------+----------------------------------------------------------------
limmig | .4582749 .0539945 8.49 0.000 .3524475 .5641022
lgdp | 1.080044 .0632958 17.06 0.000 .955987 1.204102
lgdpau | 2.193935 2.038049 1.08 0.282 -1.800568 6.188438
lgdpdfrati~w | -2.233427 .8224698 -2.72 0.007 -3.845438 -.6214158
Chia sẻ với bạn bè của bạn: |