Notice: On April 23, 2014, Statalist moved from an email list to a forum, based at statalist.org.
[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]
Re: st: RE: Hausman Test Problems
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
You don't need to be overidentified to use xtoverid. The command in
fact tests a constraint that is made, which nests the random and
fixed-effects models (i.e., the constraint that is made to the random
effects model is that level 2 regressors do not correate with uj).
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/
*
* 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/