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Re: st: How to use weights in a random effect model
From
Steven Samuels <[email protected]>
To
[email protected]
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
[email protected]
On Feb 1, 2011, at 7:02 AM, [email protected] 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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