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st: robust Hausman test, xtpcse
Hello!
I am rather new to stata and so experiencing some problems when analyzing my data. i want to do a hausman test but it has to be robust and correct for autocorrelation. I found on the list to use -xtoverid, which works with -xtreg, robust and rejected RE. But does it also control for autocorrelation? I read that to use -xtpcse is appropriate for AR1 and heteroscedasticity. Or is there a better option? Unfortunatly, xtpcse does not work with option -,fe. What is better to use then?
Thank you!
Caroline
Here some results:
quietly xtreg avcons over65perc averagesize backlogper li mp formalpercent totalincome avp, re robust
. xtoverid
Test of overidentifying restrictions: fixed vs random effects
Cross-section time-series model: xtreg re robust
Sargan-Hansen statistic 42.990 Chi-sq(5) P-value = 0.0000
. xtpcse avcons over65perc averagesize backlogper li mp formalpercent totalincomeavp, corr(ar1)
(note: estimates of rho outside [-1,1] bounded to be in the range [-1,1])
Prais-Winsten regression, correlated panels corrected standard errors (PCSEs)
Group variable: id Number of obs = 164
Time variable: expenditure Number of groups = 41
Panels: correlated (balanced) Obs per group: min = 4
Autocorrelation: common AR(1) avg = 4
max = 4
Estimated covariances = 861 R-squared = 0.5733
Estimated autocorrelations = 1 Wald chi2(8) = 40946.47
Estimated coefficients = 9 Prob > chi2 = 0.0000
------------------------------------------------------------------------------
| Panel-corrected
avconsserv~u | Coef. Std. Err. z P>|z| [95% Conf. Interval]
-------------+----------------------------------------------------------------
over65perc~t | -24.60873 15.55986 -1.58 0.114 -55.10549 5.888026
averagesize | 22.83173 17.0991 1.34 0.182 -10.68188 56.34535
backlogperc | -4.946898 1.223853 -4.04 0.000 -7.345606 -2.54819
li | 38.33405 37.61671 1.02 0.308 -35.39334 112.0614
mp | -43.72647 24.84609 -1.76 0.078 -92.42392 4.970983
formalperc~t | 620.8446 284.6725 2.18 0.029 62.89676 1178.792
totalincome | .000799 .0000994 8.04 0.000 .0006042 .0009939
avp | -2.652616 .5862434 -4.52 0.000 -3.801632 -1.5036
_cons | 54.06299 103.0665 0.52 0.600 -147.9436 256.0696
-------------+----------------------------------------------------------------
rho | .6798519
------------------------------------------------------------------------------
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