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Re: st: How to use weights in a random effect model


From   Steven Samuels <sjsamuels@gmail.com>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: How to use weights in a random effect model
Date   Tue, 1 Feb 2011 10:30:44 -0500


-gllamm- ("findit") does random effects models and takes: 1) probability weights and 2) sampling clusters (i.e. primary sampling units or PSUs) that are not part of the model. A Google search for "gllamm pweight"and "multilevel sampling weights" will turn up related posts. You will find advice to rescale the probability weights if you are interested in estimating the variance components. HLM, if you have access to it, would be a good alternative to GLLAMM.

See:
http://www.cpc.unc.edu/research/tools/data_analysis/ml_sampling_weights
and
http://www.cpc.unc.edu/projects/addhealth/news/Investigation%20of%20Ways%20for%20Handling%20Sampling%20Weights%20for.pdf

Steve
sjsamuels@gmail.com

On Feb 1, 2011, at 7:02 AM, cohaag@staff.mail.uni-mannheim.de wrote:

Hello,

I would like to run a random-effect model in Stata. In addition, I would like to use weights in the model. I Know that I can use iweights with xtreg, mle. But then I can get the message "iweights must be constant within model". Is there any way I can use aweights oder pweights in my random effect model?

Thanks a lot.
Cornelia Haag

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