st: clustered data and two weights

[Katarina Boye <katarina.boye@sofi.su.se>]

Hi,
I am using data from several European countries (ESS2) and want to use 
robust standard errors AND the two weights that comes with the dataset. 
One weight takes account of differences in sample design between 
countries (individuals or households for example) and the other takes 
account of the fact that differences in sample sizes do not correspond 
to differences in population sizes between countries (sorry if I'm not 
using the right technical language here...). To use both weighs, I have 
multiplied them to get one "combined" weight, as you can only use one 
weigh at a time.

If I had only had the design weight, my guess would be that I should use 
this weight as a pweight (that is, a probability weight) in combination 
with cluster(country). But as my combined weight is not a "clean" 
probability weight, can I do this? Or is there a better way to use 
several weights and get robust standard errors for clustered data?

/Katarina

________________________________________________________________

Katarina Boye
Ph.D. Candidate
Swedish Institute for Social Research (SOFI)
Stockholm University
SE-106 91 Stockholm
Sweden
Phone: +46 8 674 79 97
www.sofi.su.se
________________________________________________________________


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