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Re: FW: st: Variance decomposition


From   "Susan Olivia" <olivia@primal.ucdavis.edu>
To   statalist@hsphsun2.harvard.edu
Subject   Re: FW: st: Variance decomposition
Date   Wed, 01 Apr 2009 21:56:42 -0700

Thanks Carlos and Joseph for pointing out the references.

Susan

----- Original Message Follows -----
From: "Susan Olivia" <susan.olivia@gmail.com>
To: <olivia@primal.ucdavis.edu>
Subject: FW: st: Variance decomposition
Date: Wed, 1 Apr 2009 21:13:22 -0700

>  
> 
> -----Original Message-----
> From: owner-statalist@hsphsun2.harvard.edu
> [mailto:owner-statalist@hsphsun2.harvard.edu] On Behalf Of
> Joseph McDonnell Sent: Tuesday, March 31, 2009 7:33 PM
> To: statalist@hsphsun2.harvard.edu
> Subject: Re: st: Variance decomposition
> 
> Susan
> 
> many multilevel models are based on "location" e.g.
> schools within region, students within schools,
> measurements within students. There are a number of books
> on multilevel/random-effect models. Rabe-Hesketh and
> Skrondal's Multilevel and Longitudinal Modeling Using
> Stata is one that addresses such models from a Stata
> user's point of view and I can personally recommend it.
> It's available at the StataCorp website.
> 
> Cheers
> 
> Joseph
> 
> On Wed, Apr 1, 2009 at 9:45 AM, Susan Olivia
> <olivia@primal.ucdavis.edu> wrote:
> > Dear Stata list,
> >
> > I have the following model y[ch] = x?[ch]beta +
u[ch]
> > and u[ch] =  eta[c] + e[ch],
> >
> > where c corresponds to location ?c? and h
corresponds to
> > household  ?h?. In other words, the error term can
be
> > thought of the error due to  the location component and
> the household component. >
> >
> > I would like to decompose the total variance due to
> > these two effects.  Can I get any advice how to tackle
> this issue? >
> > At first sight, I thought this model is similar to that
> > of random  effects, but we?re dealing in space rather
> than time dimension. >
> >
> > Any insights on this are much appreciated. As I still
> > have a lot to  learn on Stata.
> >
> >
> >
> > Thanks,
> >
> >
> >
> > Susan
> >
> >
> >
> > *
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> >
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