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RE: st: comparing coefficients across models
From
"Swanquist, Quinn Thomas" <[email protected]>
To
"[email protected]" <[email protected]>
Subject
RE: st: comparing coefficients across models
Date
Fri, 3 Aug 2012 14:03:53 +0000
I agree with David and others. You should be cautious if your results are sensitive when 'correcting' for the collinearity 'problem'. Collinearity does not cause inconsistent estimators. Wooldridge compares the multicollinearity issue with that of small sample sizes, that is it arises from lack of power. If you have a large n it is likely not a problem. What are the vifs on your original model?
Quinn Swanquist
[email protected]
-----Original Message-----
From: [email protected] [mailto:[email protected]] On Behalf Of David Hoaglin
Sent: Thursday, August 02, 2012 9:33 PM
To: [email protected]
Subject: Re: st: comparing coefficients across models
Hello, Dalhia.
Others have already given a useful suggestion for comparing the two coefficients.
You should investigate the reason(s) for the collinearity problem that you are reporting. If x1 and x2 are continuous variables, it may be helpful to center them (at their mean or at some other convenient value).
What was the actual model that produced the collinearity problem?
David Hoaglin
On Thu, Aug 2, 2012 at 4:41 PM, Dalhia <[email protected]> wrote:
>
> Hello,
> I have two groups and need to run the same regression model on both
> groups (number of observations differ but variables are all the same).
> I am interested in the difference in the coefficients for one
> particular variable.
>
> here are the two models I am running:
>
> xtreg y x1 x2, fe robust if group==1
> xtreg y x1 x2, fe robust if group==2
>
> I cannot put the two groups together, and run the model with an
> interaction with dummy variable for group, because then the model
> becomes highly multicollinear, and the coefficients are not stable.
>
> Is there a test that can help me check if the coefficient on x2 differs significantly across the two groups?
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