Dirk,
thank you very much, that helps a lot!
When I use this comand to calculate the Pseudo R2 for the -logit- and the
-xtlogit, re-, they differ a lot (e.g. 0.09 vs. 0.19). Is it normal that the
r2 differs so much between two models using the same independent variables
or can your command only be used for -xtlogit- and the -logit- is not
correct?
Cheers,
Andreas
* You can calculate McKelvey & Zavoina's R² using -r2_mz- from SSC, see
-findit r2_mz-.
*
* Dirk
*
* Wed, 24 Apr 2013 09:49:31 +0200, Andreas
Schiffelholz<Andreas.Schiffelholz@gmx.de> wrote:
Hello everybody,
I have a very basic question. I'm currently working on a logistic panel
regression with random effects -xtlogit, re-. While I'm able to
calculate pseudo R² for my pooled models with cluster-robust standard
errors -logit, cluster (...)-, I'm not able to calculate these for the
- -xtlogit, re- model.
Is there a way to calculate these pseudo R²? If not, what other
comparable criteria would you use instead?
Thanks a lot in advance!
Andreas Schiffelholz
========================================
Dr. Dirk Enzmann
Institute of Criminal Sciences
Dept. of Criminology
Rothenbaumchaussee 33
D-20148 Hamburg
Germany
phone: +49-(0)40-42838.7498 (office)
+49-(0)40-42838.4591 (Mrs Billon)
fax: +49-(0)40-42838.2344
email: dirk.enzmann@uni-hamburg.de
http://www2.jura.uni-hamburg.de/instkrim/kriminologie/Mitarbeiter/Enzmann/Enzmann.html
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