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RE: st: Using Bayesian Information Criterion (BIC)


From   Maarten buis <maartenbuis@yahoo.co.uk>
To   statalist@hsphsun2.harvard.edu
Subject   RE: st: Using Bayesian Information Criterion (BIC)
Date   Tue, 22 Apr 2008 18:12:13 +0100 (BST)

--- Lorena Barberia <barberia@fas.harvard.edu> wrote:
> I would like to use the BIC to compare different estimations.
> Specifically, I am trying to estimate models with panel corrected
> standard errors (XTPCSE) and GMM First Difference and System
> estimators. After both commands, I tried to issue the command estat
> ic. I receive the following error message "likelihood information not
> found in last estimation results." 

The BIC is a function of the log likelihood and the number of
observations, so in order to compute the BIC you need the
log-likelihood and the number of observations. The log likelihood is
naturally available when you estimate a model with maximum likelihood,
and sometimes you can derive the log-likelihood when another estimation
method has been used, for instance -regress- uses Ordinary Least
Squares but you can still derive the log-likelihood. However, this is
not true for all other methods, and apperently you ran into such a
case, or maybe it is possible but it has simply not been implemented.

Hope this helps,
Maarten


-----------------------------------------
Maarten L. Buis
Department of Social Research Methodology
Vrije Universiteit Amsterdam
Boelelaan 1081
1081 HV Amsterdam
The Netherlands

visiting address:
Buitenveldertselaan 3 (Metropolitan), room Z434

+31 20 5986715

http://home.fsw.vu.nl/m.buis/
-----------------------------------------


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