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Re: st: compare different GLS models
From
Estrella Gomez <[email protected]>
To
[email protected]
Subject
Re: st: compare different GLS models
Date
Mon, 12 Jul 2010 12:19:17 +0200
Dear Mareike
You can check a simple loss error function for each specification (the
lowest the number, the better). See an example:
reg lxi lGDP_i lGDP_j contig comla smctry ldist i.ichlnum i.jchlnum i.t, robust
predict plxi
* Bias:
gen losspfiw = plxipfiw - lxi
* Absolute error loss:
gen abslosspfiw = abs(losspfiw)
You can also check the mean square error and the bias (again, the
lowest the better):
* Mean Square Error (MSE)
gen losspfiw2 = losspfiw^2
I hope this helps
Regards
Estrella
2010/6/12 Mareike <[email protected]>:
> Dear Statalist,
>
> I'm running a generalized least squares model on panel data. I was wondering
> how I compare the goodness of fit of different specifications of such GLS
> models?
> This might be a very basic question, but I would really appreciate if
> anybody could provide me with an answer.
>
> Thanks in advance
>
> Mareike Hahr
>
> University of Freiburg
>
> *
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> * http://www.stata.com/support/statalist/faq
> * http://www.ats.ucla.edu/stat/stata/
>
*
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