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Re: st: obtaining R squared after xtabond
From
Nick Cox <[email protected]>
To
[email protected]
Subject
Re: st: obtaining R squared after xtabond
Date
Wed, 2 Feb 2011 09:27:32 +0000
It's best not to try assessing significance from R-squared. You should
try to test the extra variables for significance directly. -test- I
imagine to be the way to do it.
Otherwise, the difference in R-squared is just that. Calculate both
and subtract. I don't see what your difficulty is there. The recipe
is not
correlate and square predicted and actual dependent variable
but
correlate predicted and actual dependent variable, and square
Nick
On Wed, Feb 2, 2011 at 2:05 AM, Anastasiya Zavyalova
<[email protected]> wrote:
> Hey all,
>
> How can I obtain an R-squared statistic after I run xtabond? I did the old
> school: correlated and squared predicted and actual dependent variable. The
> only problem is that I have two models, where Model 2 contains all the
> variables form Model 1 plus a couple more. Reviewers need to know how much
> more variance Model 2 explains over Model 1. So: 1) how can I find out how
> much variance each model explains and 2) whether Model 2 explains
> significantly more variance than Model 1?
>
> Thank you.
>
> Annie
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