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Re: Fw: st: regress nonlinear panel data model with AR(1)error term


From   BIN SUN <[email protected]>
To   [email protected]
Subject   Re: Fw: st: regress nonlinear panel data model with AR(1)error term
Date   Tue, 14 Dec 2004 14:18:21 -0500

Thank you for your idea.
However, I noticed that xtgee only gives out Population Averaged estimator 
instead of fixed effect or random effect.
I am not sure if Population averaged estimator is appropriate.

In addition, do you have any idea on comparision between these two models?
Can I do any test to make a choice between these two after the regression?

thank you very much
You really give me a lot of help.

Best,
Bin Sun

----- Original Message -----
From: Alexander Cavallo <[email protected]>
Date: Tuesday, December 14, 2004 2:00 pm
Subject: Fw:  st: regress nonlinear panel data model with AR(1) error term

> Not sure why this has not shown up.
> 
> --Alex Cavallo
> 
> Managing Consultant
> Navigant Consulting, Inc.
> 
> ----- Forwarded by Alexander Cavallo/NCI on 12/14/2004 12:56 PM ---
> --
> 
> Alexander Cavallo/NCI wrote on 12/14/2004 10:13:16 AM:
> 
> > Bin,
> > 
> > Blundell, Griffith and Windmeijer (2000) show that with panel 
> data, 
> > the possion fixed effect estimator is consistent.  In a private 
> > email, Windmeijer suggested the use of Stata's xtpois with the 
> fe 
> option.
> > 
> > I think you could use xtgee for the models you propse.
> > 
> > Model 1:     xtgee y x1 x2, family(poisson) link(log) corr(ar1)
> > 
> > Create dummies for your id variable
> > tab(id), gen(dum)
> > 
> > Model 2:     xtgee y x1 x2 dum*, family(poisson) link(log) corr(ar1)
> > 
> > Here's a reference on the consistency of poisson fixed effects
> >  Blundell, Griffith, Windmeijer "Individual effects and dynamics 
> in 
> > count data models" (Institute for Fiscal Studies Working Paper 
> W99/3).
> > 
> > --Alex Cavallo
> > 
> > Managing Consultant
> > Navigant Consulting, Inc.
> 
> > 
> > Subject: st: regress nonlinear panel data model with AR(1) error 
> term 
> > 
> > Hi,
> > I have some questions on regression of two models. I have PANEL 
> COUNT 
> data.
> > I want two models by two different error term specification.
> > 1. the error term is AR(1) and no individual effect.
> > 2. the error term is AR(1) plus the individual effect.
> > 
> > Does anyone know how I can regress these two models
> > 
> > Best,
> > Bin Sun
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