Log: F:\Roger-Australia\Robustness-1\Algeria-Barbados Exports log



tải về 1.13 Mb.
trang1/14
Chuyển đổi dữ liệu29.04.2018
Kích1.13 Mb.
  1   2   3   4   5   6   7   8   9   ...   14
-------------------------------------------------------------------------------

log: F:\Roger-Australia\Robustness-1\Algeria-Barbados_Exports.log

log type: text

opened on: 18 Aug 2006, 15:25:57

. clear
. *Estimating the Australian Immigration Trade relationship;

. insheet using f:\book2.txt

(54 vars, 11640 obs)
. drop if ccode ==.

(10630 observations deleted)


.

. **Droping Algeria

. drop if ccode==130120

(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) = 6707.58

Log likelihood = -1011.277 Prob > chi2 = 0.0000
------------------------------------------------------------------------------

lrexp | Coef. Std. Err. z P>|z| [95% Conf. Interval]

-------------+----------------------------------------------------------------

limmig | .5427389 .0383195 14.16 0.000 .4676341 .6178437

lgdp | 1.056335 .0365758 28.88 0.000 .9846473 1.128022

lgdpau | -3.310793 .8747356 -3.78 0.000 -5.025243 -1.596343

lgdpdfrati~w | -1.740907 .3392033 -5.13 0.000 -2.405733 -1.07608

lpopau | 4.659051 3.051366 1.53 0.127 -1.321517 10.63962

lpop | -.004856 .0422476 -0.11 0.908 -.0876598 .0779478

lxrate1 | .0021233 .0149711 0.14 0.887 -.0272196 .0314661

lremote | .1485148 .0930915 1.60 0.111 -.0339411 .3309708

ldist | -1.403822 .1423219 -9.86 0.000 -1.682767 -1.124876

lopen | .8872156 .0812968 10.91 0.000 .7278769 1.046554

english | .207678 .0925918 2.24 0.025 .0262014 .3891547

white | 3.289944 .5744546 5.73 0.000 2.164034 4.415854

lwhitemg | -.3973973 .0514737 -7.72 0.000 -.498284 -.2965107

_cons | 4.091264 28.36066 0.14 0.885 -51.49461 59.67714

------------------------------------------------------------------------------


. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1

-------------+---------------------------------------------------------------

limmig | .001468

lgdp | -.000813 .001338

lgdpau | -.003246 .00256 .765162

lgdpdfrati~w | .000821 -.000958 -.024626 .115059

lpopau | .012426 -.010389 -2.62487 .137341 9.31084

lpop | .000061 -.000713 .000869 -.000271 -.006708 .001785

lxrate1 | 9.4e-06 .000177 -.000086 .000015 .000141 -.000063 .000224

lremote | -.000351 .001163 .004862 -.003326 -.026976 .00005 .000032

ldist | .003532 -.002238 -.005928 .004134 .014446 .00206 .000506

lopen | -.000592 .00035 .011221 -.001657 -.060791 .000891 -.0001

english | -.000791 .001248 -.003361 .001011 .021104 -.000876 .000444

white | .007247 -.001573 -.008488 -.011544 .008906 .009853 .001708

lwhitemg | -.000814 .000202 .000997 .000609 -.001711 -.000884 -.000149

_cons | -.146558 .10243 23.4745 -1.746 -85.481 .05733 -.009415


| lremote ldist lopen english white lwhitemg _cons

-------------+---------------------------------------------------------------

lremote | .008666

ldist | .002309 .020256

lopen | .002631 .000683 .006609

english | .000174 .000319 -.003321 .008573

white | .019126 .032951 -.000696 .00371 .329998

lwhitemg | -.001257 -.003304 .000067 7.2e-06 -.029035 .00265


_cons | .200919 -.310556 .676389 -.285436 -.596966 .061853 804.327

. **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) = 6441.44

Log likelihood = -1430.491 Prob > chi2 = 0.0000
------------------------------------------------------------------------------

lrrefp_cx | Coef. Std. Err. z P>|z| [95% Conf. Interval]

-------------+----------------------------------------------------------------

limmig | .3453877 .0456949 7.56 0.000 .2558273 .4349481

lgdp | 1.085743 .0678268 16.01 0.000 .9528049 1.218681

lgdpau | -.4468194 .4834264 -0.92 0.355 -1.394318 .5006789

lgdpdfrati~w | -.2120679 .2950541 -0.72 0.472 -.7903633 .3662276

lpopau | 3.398039 1.74802 1.94 0.052 -.0280166 6.824095

lpop | .0274062 .0947032 0.29 0.772 -.1582086 .213021

lxrate1 | -.0390452 .0298666 -1.31 0.191 -.0975826 .0194923

lremote | -.1951597 .1637675 -1.19 0.233 -.5161381 .1258188

ldist | -3.168989 .3891985 -8.14 0.000 -3.931804 -2.406174

lopen | -.0812382 .0530832 -1.53 0.126 -.1852793 .0228029

english | .6604998 .1832926 3.60 0.000 .301253 1.019747

white | 7.889466 1.075618 7.33 0.000 5.781294 9.997637

lwhitemg | -.844974 .1141834 -7.40 0.000 -1.068769 -.6211787

_cons | -35.12689 17.71375 -1.98 0.047 -69.8452 -.408588

------------------------------------------------------------------------------


. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1

-------------+---------------------------------------------------------------

limmig | .002088

lgdp | -.001608 .0046

lgdpau | .001149 -.001582 .233701

lgdpdfrati~w | -.001867 .003174 -.023219 .087057

lpopau | -.00485 .004256 -.812663 .103629 3.05557

lpop | -.000088 -.00483 .003749 -.001419 -.019684 .008969

lxrate1 | .000137 .000371 .000564 .00267 -.006075 -.000552 .000892

lremote | .000123 .000282 -.021357 .002545 .090608 -.003483 .000647

ldist | .009003 -.010532 .004223 .002261 -.030348 .005381 .002131

lopen | .000052 -.000294 .002528 .001064 -.011467 .001176 -.000379

english | -.001242 -.001341 .005782 .004296 -.044758 .003135 .001568

white | .010536 -.025725 .022696 -.003719 -.151339 .032492 .001817

lwhitemg | -.001527 .001991 -.004518 .000537 .022369 -.002074 -.000142

_cons | -.008324 .044908 7.49289 -1.29348 -29.7303 .179254 .053586


| lremote ldist lopen english white lwhitemg _cons

-------------+---------------------------------------------------------------

lremote | .02682

ldist | .003362 .151475

lopen | -.002183 .000834 .002818

english | -.004393 .001211 -.000612 .033596

white | -.011347 .056735 .00289 .038043 1.15695

lwhitemg | .004005 -.007107 -.000617 -.001622 -.117528 .013038

_cons | -1.16975 -.98672 .125077 .58253 1.46736 -.224152 313.777

. *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) = 3539.88

Log likelihood = -1538.566 Prob > chi2 = 0.0000
------------------------------------------------------------------------------

lrdiff_cx | Coef. Std. Err. z P>|z| [95% Conf. Interval]

-------------+----------------------------------------------------------------

limmig | .446946 .054695 8.17 0.000 .3397457 .5541463

lgdp | 1.099497 .0621166 17.70 0.000 .9777507 1.221243

lgdpau | 2.258763 2.042073 1.11 0.269 -1.743626 6.261152

lgdpdfrati~w | -2.225335 .8226936 -2.70 0.007 -3.837785 -.6128855

lpopau | -8.29948 7.031225 -1.18 0.238 -22.08043 5.481469

lpop | -.1594355 .0804628 -1.98 0.048 -.3171397 -.0017313

lxrate1 | -.0688632 .0284524 -2.42 0.016 -.1246289 -.0130975

lremote | -.1029245 .2021591 -0.51 0.611 -.4991492 .2933001

ldist | -2.289812 .2383276 -9.61 0.000 -2.756926 -1.822699

lopen | .1095955 .0930255 1.18 0.239 -.0727313 .2919222

english | .6725384 .1782064 3.77 0.000 .3232603 1.021817

white | 1.983355 1.12463 1.76 0.078 -.2208804 4.18759

lwhitemg | -.2055638 .1026895 -2.00 0.045 -.4068316 -.0042959

_cons | 83.44252 64.69657 1.29 0.197 -43.36042 210.2455

------------------------------------------------------------------------------


. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1

-------------+---------------------------------------------------------------

limmig | .002992

lgdp | -.001946 .003858

lgdpau | -.002645 .005334 4.17006

lgdpdfrati~w | -.003486 .001595 -.207485 .676825

lpopau | .008542 -.026286 -14.145 .970295 49.4381

lpop | .000032 -.003294 -.000598 .00139 .004777 .006474

lxrate1 | .000252 .00047 .000896 -.00046 -.00721 -.000839 .00081

lremote | .003903 -.002389 .004139 -.008718 -.034887 -.000452 .000827

ldist | .006745 -.005733 -.005981 .012499 .011671 .002606 .003166

lopen | -.000384 .000783 .015187 .002916 -.079442 .001215 -.000123

english | -.003074 .00216 -.000687 .009787 .013884 -.002863 .00112

white | .019586 -.020076 .03685 -.120451 -.16761 .011854 .002193

lwhitemg | -.001841 .001386 -.002915 .009961 .013166 -.000393 -.000159

_cons | -.143566 .344879 125.406 -11.4485 -449.599 -.110167 .057136


| lremote ldist lopen english white lwhitemg _cons

-------------+---------------------------------------------------------------

lremote | .040868

ldist | .019963 .0568

lopen | .004401 .000706 .008654

english | -.013767 .001474 -.003597 .031758

white | .073987 .036206 -.002277 -.008253 1.26479

lwhitemg | -.003933 -.001582 .000352 .000722 -.111951 .010545

_cons | -.027497 -.72851 .845483 -.117284 1.06209 -.114192 4185.65

. *2.3. Aggregate Homogenous Exports (conservative)

. xtgls lrhomo_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) = 1973.26

Log likelihood = -1607.89 Prob > chi2 = 0.0000


------------------------------------------------------------------------------

lrhomo_cx | Coef. Std. Err. z P>|z| [95% Conf. Interval]

-------------+----------------------------------------------------------------

limmig | .4492709 .0520251 8.64 0.000 .3473037 .5512382

lgdp | .9492391 .0955848 9.93 0.000 .7618965 1.136582

lgdpau | -.0799963 1.065593 -0.08 0.940 -2.16852 2.008527

lgdpdfrati~w | -.2165943 .4539437 -0.48 0.633 -1.106308 .673119

lpopau | -5.669684 3.648291 -1.55 0.120 -12.8202 1.480835

lpop | .1570964 .1070282 1.47 0.142 -.0526749 .3668678

lxrate1 | .0669038 .0367122 1.82 0.068 -.0050508 .1388584

lremote | -1.041658 .2324091 -4.48 0.000 -1.497171 -.5861441

ldist | -1.815945 .4848195 -3.75 0.000 -2.766174 -.865716

lopen | .0370842 .0934834 0.40 0.692 -.1461398 .2203082

english | 1.037171 .2932615 3.54 0.000 .4623889 1.611953

white | 11.79168 2.579259 4.57 0.000 6.73643 16.84694

lwhitemg | -1.371893 .2753897 -4.98 0.000 -1.911647 -.8321391

_cons | 100.9394 34.39745 2.93 0.003 33.52161 168.3571

------------------------------------------------------------------------------


. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1

-------------+---------------------------------------------------------------

limmig | .002707

lgdp | -.002912 .009136

lgdpau | .005764 -.010633 1.13549

lgdpdfrati~w | -.003509 .007413 -.051894 .206065

lpopau | -.022878 .023773 -3.77205 .265955 13.31

lpop | .000331 -.005755 .000322 -.003035 -.000586 .011455

lxrate1 | -.000102 .001157 .002984 .002707 -.018725 -.001428 .001348

lremote | .000342 .00793 -.036429 .011476 .102317 -.006393 .000514

ldist | .013975 -.01018 .022535 -.005063 -.145754 .012929 .002109

lopen | .000031 -.001086 -.019169 .006389 .046765 .002128 -.000282

english | -.002292 .003689 .017567 .004137 -.086994 .004654 .002891

white | .009849 -.023804 .098035 -.015379 -.443596 .033735 .004458

lwhitemg | -.001131 .001476 -.01099 .001717 .049762 -.002762 -.000323

_cons | .141658 -.197447 33.1095 -3.42846 -121.96 -.111808 .197177


| lremote ldist lopen english white lwhitemg _cons

-------------+---------------------------------------------------------------

lremote | .054014

ldist | .023748 .23505

lopen | .00128 -.001212 .008739

english | -.014379 .016904 -.003479 .086002

white | -.00461 .055744 -.00097 .115483 6.65257

lwhitemg | .002574 -.007685 .000413 -.012015 -.70498 .075839

_cons | -1.52261 -.671584 -.279917 .768915 4.21173 -.46783 1183.18

. **III. Liberal Estimates

. *3.1. Aggregate reference priced Exports (liberal)

. xtgls lrrefp_lx 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) = 2094.40

Log likelihood = -1439.204 Prob > chi2 = 0.0000
------------------------------------------------------------------------------
lrrefp_lx | Coef. Std. Err. z P>|z| [95% Conf. Interval]

-------------+----------------------------------------------------------------

limmig | .3468427 .047068 7.37 0.000 .2545911 .4390943

lgdp | .9748029 .0831544 11.72 0.000 .8118233 1.137782

lgdpau | -.1152814 .5200184 -0.22 0.825 -1.134499 .903936

lgdpdfrati~w | .0843353 .2669042 0.32 0.752 -.4387873 .6074578

lpopau | -3.328475 1.836351 -1.81 0.070 -6.927656 .2707056

lpop | .1040616 .1021599 1.02 0.308 -.0961681 .3042914

lxrate1 | .0043401 .0291137 0.15 0.881 -.0527217 .0614019

lremote | -.2213776 .1612333 -1.37 0.170 -.537389 .0946339

ldist | -2.363725 .4689202 -5.04 0.000 -3.282792 -1.444659

lopen | .0174737 .0537926 0.32 0.745 -.0879578 .1229052

english | 1.036731 .2494521 4.16 0.000 .5478139 1.525648

white | 11.00382 2.091551 5.26 0.000 6.904453 15.10318

lwhitemg | -1.101438 .2047232 -5.38 0.000 -1.502688 -.7001882

_cons | 61.07471 18.31034 3.34 0.001 25.18711 96.96231


------------------------------------------------------------------------------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1

-------------+---------------------------------------------------------------

limmig | .002215

lgdp | -.002443 .006915

lgdpau | .001378 -.003328 .270419

lgdpdfrati~w | -.001877 .004246 -.026792 .071238

lpopau | -.007428 .012454 -.928013 .118477 3.37218

lpop | .000803 -.006057 .004422 -.003464 -.023328 .010437

lxrate1 | .000106 .000165 .001583 .001735 -.008102 -.000358 .000848

lremote | .000647 .000534 -.020934 .002927 .078727 -.003334 .000094

ldist | .006843 -.010519 .001898 -.000361 -.024181 .009235 .002516

lopen | -.00002 -.00008 .00194 .001139 -.009262 .00088 -.000206

english | -.002055 .000673 .009101 .004532 -.03028 .000357 .002184

white | .009997 -.028494 .022112 -.00351 -.135736 .03316 .011099

lwhitemg | -.001157 .001861 -.003517 .000353 .018535 -.002064 -.000994

_cons | .048879 -.077397 8.48565 -1.39957 -32.0327 .184972 .06367


| lremote ldist lopen english white lwhitemg _cons

-------------+---------------------------------------------------------------

lremote | .025996

ldist | .009665 .219886

lopen | -.001319 -.000562 .002894

english | -.007271 .027917 -.000669 .062226

white | .034458 -.165059 -.004831 .014513 4.37458

lwhitemg | -.001257 .017679 .000245 .000423 -.42384 .041912

_cons | -1.0431 -1.80015 .109338 .018148 2.96052 -.373112 335.268

. *3.2. Aggregate Differentiated Exports (liberal)

. xtgls lrdiff_lx 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) = 3504.94

Log likelihood = -1556.689 Prob > chi2 = 0.0000
------------------------------------------------------------------------------
lrdiff_lx | Coef. Std. Err. z P>|z| [95% Conf. Interval]

-------------+----------------------------------------------------------------

limmig | .4129909 .058308 7.08 0.000 .2987092 .5272725

lgdp | 1.18802 .0683773 17.37 0.000 1.054003 1.322037

lgdpau | 1.985348 2.120546 0.94 0.349 -2.170846 6.141542

lgdpdfrati~w | -2.424449 .8233532 -2.94 0.003 -4.038191 -.8107061

lpopau | -7.484525 7.297643 -1.03 0.305 -21.78764 6.818591

lpop | -.2677174 .0821374 -3.26 0.001 -.4287038 -.1067311

lxrate1 | -.0336723 .0285488 -1.18 0.238 -.0896269 .0222822

lremote | -.0203972 .1966327 -0.10 0.917 -.4057901 .3649957

ldist | -2.277767 .2366265 -9.63 0.000 -2.741546 -1.813988

lopen | .114467 .0958171 1.19 0.232 -.0733311 .3022652

english | .7798149 .1936707 4.03 0.000 .4002274 1.159402

white | 2.066245 1.142996 1.81 0.071 -.1739857 4.306476

lwhitemg | -.2047959 .1047865 -1.95 0.051 -.4101736 .0005819

_cons | 76.13045 67.10663 1.13 0.257 -55.39612 207.657


------------------------------------------------------------------------------
. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1

-------------+---------------------------------------------------------------

limmig | .0034

lgdp | -.002581 .004675

lgdpau | -.003471 .006242 4.49672

lgdpdfrati~w | -.003823 .002879 -.212084 .67791

lpopau | .012178 -.030504 -15.2483 .974741 53.2556

lpop | .000773 -.00403 -.000945 -.000679 .006693 .006747

lxrate1 | .000071 .000659 .000905 .000364 -.007723 -.000988 .000815

lremote | .003594 -.002647 .00147 -.006415 -.024026 .00083 .000628

ldist | .007193 -.006463 -.008312 .013007 .020206 .003211 .002556

lopen | -.00044 .000747 .015826 .003471 -.083236 .001429 -.000152

english | -.004798 .004303 .0018 .013258 .00105 -.004521 .001516

white | .019076 -.02136 .030715 -.115655 -.134564 .014406 .000336

lwhitemg | -.001845 .001531 -.00249 .009766 .010602 -.000605 .000025

_cons | -.182009 .394612 135.178 -11.4246 -484.132 -.138557 .071212


| lremote ldist lopen english white lwhitemg _cons

-------------+---------------------------------------------------------------

lremote | .038664

ldist | .019671 .055992

lopen | .004348 .000673 .009181

english | -.014922 -.000908 -.00348 .037508

white | .073729 .018343 -.00255 -.017097 1.30644

lwhitemg | -.004075 .000145 .000386 .001702 -.116211 .01098

_cons | -.12984 -.791655 .890259 .044235 .841702 -.098558 4503.3

. *3.3. Aggregate Homogenous Exports (liberal)

. xtgls lrhomo_lx 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) = 3067.16

Log likelihood = -1533.411 Prob > chi2 = 0.0000
------------------------------------------------------------------------------

lrhomo_lx | Coef. Std. Err. z P>|z| [95% Conf. Interval]

-------------+----------------------------------------------------------------

limmig | .5528648 .043841 12.61 0.000 .4669381 .6387915

lgdp | 1.101633 .0687521 16.02 0.000 .9668809 1.236384

lgdpau | -.4838729 .6630144 -0.73 0.466 -1.783357 .8156115

lgdpdfrati~w | -.4373594 .480775 -0.91 0.363 -1.379661 .5049421

lpopau | 2.362216 2.382573 0.99 0.321 -2.30754 7.031973

lpop | -.1618199 .0841848 -1.92 0.055 -.326819 .0031793

lxrate1 | -.030664 .0304105 -1.01 0.313 -.0902675 .0289395

lremote | -.7135814 .1932109 -3.69 0.000 -1.092268 -.3348949

ldist | -2.064792 .3129818 -6.60 0.000 -2.678225 -1.451359

lopen | .0254758 .0716189 0.36 0.722 -.1148947 .1658463

english | .7896873 .2333663 3.38 0.001 .3322978 1.247077

white | 5.71789 2.047879 2.79 0.005 1.704121 9.73166

lwhitemg | -.7730155 .2093308 -3.69 0.000 -1.183296 -.3627347

_cons | -20.78746 23.94068 -0.87 0.385 -67.71033 26.13542

------------------------------------------------------------------------------


. vce
| limmig lgdp lgdpau lgdpdf~w lpopau lpop lxrate1

-------------+---------------------------------------------------------------

limmig | .001922

lgdp | -.001877 .004727

lgdpau | .000257 -.003392 .439588

lgdpdfrati~w | -.003402 .003931 -.056617 .231145

lpopau | -.000695 .00615 -1.52168 .297443 5.67665

lpop | .000079 -.003311 .003851 .000649 -.020407 .007087

lxrate1 | -.000314 .0007 .001389 .002774 -.010271 -.000369 .000925

lremote | .001562 .001495 -.027789 .002385 .118914 -.004344 .000194

ldist | .006507 -.008871 -.002966 .000513 -.009445 .01048 .000775

lopen | .000083 -.00085 -.000272 .005258 -.004208 .001779 -.000332

english | -.001265 .001519 .015302 .007681 -.097441 .003001 .002993

white | .007639 -.011137 .033795 -.008722 -.229626 .017992 .006903

lwhitemg | -.000676 .000678 -.004346 .00132 .026943 -.001467 -.000512

_cons | -.03715 .006971 14.0488 -3.81131 -55.2945 .13995 .109896


| lremote ldist lopen english white lwhitemg _cons

-------------+---------------------------------------------------------------



  1   2   3   4   5   6   7   8   9   ...   14


Cơ sở dữ liệu được bảo vệ bởi bản quyền ©hocday.com 2019
được sử dụng cho việc quản lý

    Quê hương