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Re: st: gllamm with complex surveys


From   MAY BAYDOUN <mbaydoun2002@yahoo.com>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: gllamm with complex surveys
Date   Sun, 22 Mar 2009 09:04:02 -0700 (PDT)

Dear Stas,

Thank you so much! Yes, that was what I thought, regarding having only measured variables. I will try reg3 and see what happens. Thanks again!

May


May Baydoun, PhD in Epidemiology (UNC-Chapel Hill)  Staff Scientist,  National Institute on Aging, NIH/IRP,  Biomedical Research Center,  Baltimore, MD


--- On Sun, 3/22/09, Stas Kolenikov <skolenik@gmail.com> wrote:

> From: Stas Kolenikov <skolenik@gmail.com>
> Subject: Re: st: gllamm with complex surveys
> To: statalist@hsphsun2.harvard.edu
> Date: Sunday, March 22, 2009, 9:58 AM
> The central idea of -gllamm- is to
> integrate out the random effects.
> If you don't have latent variables in your model, and all
> variables
> are observed, -gllamm- is not so useful -- in fact it has
> difficulties
> when you try to restrict variances to be zero. With this
> setting, you
> are in the realm of econometric simultaneous equation
> models estimable
> with say -reg3-. However the latter does not support -svy-
> features
> (and in fact -_robust- estimation, which is the principal
> mechanics
> behind -svy-). I think the question of robust standard
> errors in
> -reg3- came up a month or so on statalist though. You may
> have hope
> with a combination of -reg3-, -bs4rw- (by Jeff Pitblado)
> and
> -bsweights- (me) for bootstrap standard errors.
> 
> On 3/21/09, MAY BAYDOUN <mbaydoun2002@yahoo.com>
> wrote:
> > Dear Statalisters,
> >
> >  I was wondering if one can use gllamm to carry
> out structural equations modeling (without latent variables,
> just measured ones) and accounting for sample weights and
> design complexity (PSU, stratum etc.). If only weights can
> be accounted for that can be sufficient, but if all can be
> accounted for that would be better. Is there a way to
> combine svy: with gllamm? Thanks for your help on this,
> >
> >  Sincerely yours,
> >
> >  May
> >
> >
> >  May Baydoun, PhD in Epidemiology (UNC-Chapel
> Hill)  Staff Scientist,  National Institute on
> Aging, NIH/IRP,  Biomedical Research Center, 
> Baltimore, MD
> >
> >
> >
> >  *
> >  *   For searches and help try:
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> >  *   http://www.ats.ucla.edu/stat/stata/
> >
> 
> 
> -- 
> Stas Kolenikov, also found at http://stas.kolenikov.name
> Small print: I use this email account for mailing lists
> only.
> 
> *
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> *   http://www.stata.com/support/statalist/faq
> *   http://www.ats.ucla.edu/stat/stata/
> 


      

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