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From | John Antonakis <John.Antonakis@unil.ch> |
To | statalist@hsphsun2.harvard.edu |
Subject | Re: st: RE: Hausman Test Problems |
Date | Mon, 02 May 2011 11:11:15 +0200 |
To get a better handle on what types of constraints are made in these types of models see:
Bollen, K. A., & Brand, J. E. (2010). A General Panel Model with Random and Fixed Effects A Structural Equations Approach. Social Forces, 89(1), 1-34.
HTH, John. __________________________________________ Prof. John Antonakis Faculty of Business and Economics Department of Organizational Behavior University of Lausanne Internef #618 CH-1015 Lausanne-Dorigny Switzerland Tel ++41 (0)21 692-3438 Fax ++41 (0)21 692-3305 http://www.hec.unil.ch/people/jantonakis Associate Editor The Leadership Quarterly __________________________________________ On 02.05.2011 10:56, Muhammad Anees wrote:
Thanks Eric! It did worked for me. I actually run the regressions without pretesting it for any overidentification. Can I still follow any procedure selecting one of the FE and RE using over identified panel data regressions. On 2 May 2011 12:44, DE SOUZA Eric<eric.de_souza@coleurope.eu> wrote:The Hausman test for fixed vs random is only valid under a strict set of assumptions. These assumptions are clearly not satisfied in your case . Use -xtoverid-. Download it from ssc: -ssc install xtoverid- and read the help file first. Eric de Souza College of Europe Brugge (Bruges), Belgium http://www.coleurope.eu -----Original Message----- From: owner-statalist@hsphsun2.harvard.edu [mailto:owner-statalist@hsphsun2.harvard.edu] On Behalf Of Muhammad Anees Sent: 02 May 2011 06:12 To: statalist@hsphsun2.harvard.edu Subject: st: Hausman Test Problems Dear All! I have run a panel data regression and selection of the random effects or fixed effects using Hausman test. I do not know what is the actual problem with my results. Please could someone help. Why the result for my hausman command results in warning message? the complete results are below: . xtreg priceclose eps bookvalue, fe Fixed-effects (within) regression Number of obs = 850 Group variable: id Number of groups = 170 R-sq: within = 0.1160 Obs per group: min = 5 between = 0.5266 avg = 5.0 overall = 0.4645 max = 5 F(2,678) = 44.48 corr(u_i, Xb) = 0.4836 Prob> F = 0.0000 priceclose Coef. Std. Err. t P>t [95% Conf. Interval] eps .7770481 .1966364 3.95 0.000 .3909585 1.163138 bookvalue .8653121 .1577343 5.49 0.000 .5556057 1.175018 _cons 1.001173 .1176642 8.51 0.000 .7701434 1.232204 sigma_u 3.5662704 sigma_e 1.5953308 rho .83325562 (fraction of variance due to u_i) F test that all u_i=0: F(169, 678) = 17.34 Prob> F = 0.0000 . . estimates store fe . . xtreg priceclose eps bookvalue, re Random-effects GLS regression Number of obs = 850 Group variable: id Number of groups = 170 R-sq: within = 0.1159 Obs per group: min = 5 between = 0.5186 avg = 5.0 overall = 0.4593 max = 5 Random effects u_i ~ Gaussian Wald chi2(2) = 297.79 corr(u_i, X) = 0 (assumed) Prob> chi2 = 0.0000 priceclose Coef. Std. Err. z P>z [95% Conf. Interval] eps 1.113035 .2084971 5.34 0.000 .7043883 1.521682 bookvalue 1.394302 .1196459 11.65 0.000 1.159801 1.628804 _cons .5629992 .2070207 2.72 0.007 .1572462 .9687522 sigma_u 2.1242726 sigma_e 1.5953308 rho .63938518 (fraction of variance due to u_i) . . estimates store re . . hausman fe re ---- Coefficients ---- (b) (B) (b-B) sqrt(diag(V_b-V_B)) fe re Difference S.E. eps .7770481 1.113035 -.3359869 . bookvalue .8653121 1.394302 -.5289903 .102786 b = consistent under Ho and Ha; obtained from xtreg B = inconsistent under Ha, efficient under Ho; obtained from xtreg Test: Ho: difference in coefficients not systematic chi2(2) = (b-B)'[(V_b-V_B)^(-1)](b-B) = -15.59 chi2<0 ==> model fitted on these data fails to meet the asymptotic assumptions of the Hausman test; see suest for a generalized test -- Muhammad Anees MSc in Economics The University of Sheffield United Kingdom * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/ * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/
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