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Re: st: obtaining R squared after xtabond
From
Anastasiya Zavyalova <[email protected]>
To
[email protected]
Subject
Re: st: obtaining R squared after xtabond
Date
Wed, 2 Feb 2011 11:46:25 -0500
Hey Nick,
Thank you for the quick response.
I have calculated R sq for both of my models after the xtabond
estimation. They are both 0.99, but Model 2 has five more variables
than Model 1.
For Model 1: Wald chi2(21) = 3664.36 Prob > chi2
= 0.0000
For Model 2: Wald chi2(26) = 3867.88 Prob > chi2
= 0.0000
How can I find out from this information how much more variance is
explained by Model 2 than Model 1 and which model has the best fit? Is
there a way to compare whether the two Chi sqrd statistics are
significantly different?
Thanks again.
Annie
On Feb 2, 2011, at 4:27 AM, Nick Cox wrote:
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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