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st: RE: chow test


From   "Nick Cox" <n.j.cox@durham.ac.uk>
To   <statalist@hsphsun2.harvard.edu>
Subject   st: RE: chow test
Date   Tue, 8 Nov 2005 21:51:34 -0000

I'd like to be wrong, but this kind of very open 
question is most unlikely to get a helpful 
response. You asked another very open question 
yesterday, which has had no response to date, which 
seemed inevitable to me at the time. 

The difficulty is on two levels. 

First, even people who have knowledge here would find 
it difficult to know precisely what you want. Presumably
not answers "Yes" or "No". 

Second, people don't react well if it seems that someone
is treating the list as a kind of search engine in 
which they specify key words and somehow expect to 
generate a set of responses. 

The kind of question that gets a response here is 
when you have a specific difficulty which you 
make clear through a concrete example. 

Nick 
n.j.cox@durham.ac.uk 

> -----Original Message-----
> From: owner-statalist@hsphsun2.harvard.edu
> [mailto:owner-statalist@hsphsun2.harvard.edu]On Behalf Of Chen, Naijun
> Sent: 08 November 2005 21:36
> To: statalist@hsphsun2.harvard.edu
> Subject: st: chow test
> 
> 
> I am doing sample selection model analysis. In stata help, it 
> says a chow
> test can be used to test if the betas differs across by treatment(the
> selection variable) and then decide which model(Endogeniety model or
> sample selection model) is more efficient.
> 
> Is there anyone having experience about the chow test here?
> 
> Thanks a lot.
> 
> Naijun Chen
> 
> 
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