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Re: st: Test for deciding which model fits my data the best


From   Muhammad Anees <anees@aneconomist.com>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: Test for deciding which model fits my data the best
Date   Tue, 27 Sep 2011 11:17:54 +0500

Model selection is based on Information Criteria by Akaike, Scwartz
and Hannan and Quinn etc. Comparing R-squared and adjusted R-squared
is also one tool but commonly used are the above.

Read www.stata.com/meeting/5nasug/Millar_BostonBIC.ppt

On Tue, Sep 27, 2011 at 10:38 AM, Haillie Lee <nal@princeton.edu> wrote:
> Dear List,
>
> How do I know which model of these three ( pooled OLS corrected for
> heteroskedascity only VS pooled OLS with full panel corrected SE VS
> fixed effect with full panel corrected SE ) best fit my model? How do
> I know the fit? Do I just look at the R square term? I know that
> making a judgement by just looking at the magnitude of SE is dangerous
> since there is a possibility that it might have been underestimated.
> Is there any test I can run to see which model fits the best? Is F
> test the only test I can run to decide between these models?
>
> Thank you very much in advance for all your help. I appreciate any leads.
>
> Sincerely with Many Thanks,
> Haillie Lee
> *
> *   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/
>



-- 


Regards

Anees

*
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