Off the top of my head, I would say that you need to a)stratify by both
gender and agency type and b) calculate weights specific to each stratum.
This is the way such things are typically done, however there are other
approaches, depending upon how the sample was designed and drawn, plus
non-response. I suggest you consult with a sampling statistician.
Bryan Sayer
Statistician, SSS, Inc.
-----Original Message-----
From: Julia Koschinsky
To: '[email protected]'
Sent: 6/16/03 3:04 PM
Subject: st: Using more than one weights variable in svylogit?
Dear Stata List,
We are trying to correct for the overrepresentation of women in our
sample.
We also have an overpresentation of redistributive and distributive
agencies
(as opposed to regulatory agencies) in the sample. We created two
inverse
weights variables, one for gender and one for agency type, that we would
like to use in a logit model.
We have run the svyset pweights and svylogit commands with the gender
weights variable and are wondering:
1.Is it possible to run both the gender and agency weights variable in
the
svylogit command?
2. Or would it make sense to create a combined gender-agency weights
variable (if so, should we sum or multiply the weights)?
3. Or is it sufficient to only include the gender weights variable since
many of the female respondents also work in redistributive agencies?
Many thanks,
Julia Koschinsky
University at Albany
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