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RE: RE: st: RE: GMM estimation: restricting parameter estimates


From   "Bley N'Dede" <ndedecb@tigermail.auburn.edu>
To   "statalist@hsphsun2.harvard.edu" <statalist@hsphsun2.harvard.edu>
Subject   RE: RE: st: RE: GMM estimation: restricting parameter estimates
Date   Tue, 25 Jun 2013 22:27:17 +0000

Thank you very much

________________________________________
From: owner-statalist@hsphsun2.harvard.edu [owner-statalist@hsphsun2.harvard.edu] on behalf of Nick Cox [njcoxstata@gmail.com]
Sent: Tuesday, June 25, 2013 7:18 PM
To: statalist@hsphsun2.harvard.edu
Subject: Re: RE: st: RE: GMM estimation: restricting parameter estimates

When you ask for SEs and P-value for the _variable_ v I assume you
mean the associated coefficient. You might find that easier with a
reparameterization such as

gmm (y-{b0} - {b1}*a-(1 - {b2} - {b3})*k +{b2}*h + {b3}*v)

Everything else is beyond my experience.

Nick
njcoxstata@gmail.com


On 25 June 2013 20:08, Bley N'Dede <ndedecb@tigermail.auburn.edu> wrote:

> how do I get the standard errors and p-value for the variable v which is my variable of interest?
> Could you please tell me what procedure I can use to run a GMM including FIXED EFFECTS? I am not sure if the xtabond includes already fized effects.

Nick Cox [njcoxstata@gmail.com]

> Kit already told you how to do this.
>
>  gmm (y-{b0} - {b1}*a-{b2}*k-{b3}*h+ (1 - {b2} - {b3})*v)
>
> Nick
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