Re: st: svy commands & weights with xtmixed

[Steven Samuels <samplerx@earthlink.net>]

On Dec 17, 2006, at 7:26 PM, Sarah Gill wrote:

> I have found that 1) The svy function that I have used for  
> regression analyses in the past with cross-sectional datasets does  
> not appear to support any of the newer xt functions, and 2) xtmixed  
> does not appear to support weights.
Sarah is right and I was wrong in my original response:  xtmixed and  
some other xt commands do NOT support weights. I apologize.

Therefore I've revised my response to her question.


> Has anyone come across a way to successfully analyse stratified  
> data and/or use pweights with xtmixed?

I don't know a way.  However I believe that gllamm could produce  
something like a design-based solution.  It supports pweights and a  
cluster option for a variable that does not appear in the model. You  
can allow strata to have different standard deviations, by specifying  
that variances differ between categories that need not appear as  
fixed effects (Section 1.1.1 of the GLLAMM manual). Whether the  
program will estimate all of the stratum variances is another question.

Steve



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