Dear all,
I want to draw a random subsample from my data, but taking into account my
sample weights.
I thought of inflating my data (with the command "expand") to get rid of the
weights and then draw a random subsample from the expanded data. But I'm not
sure whether this is correct, since then I can have the same observation
multiple times in the random subsample?
The extra difficulty is that I am working with matrix language. The code
where the random subsample is drawn looks something like this:
p0i = p0[sort(unorder(rows(p0))[|1 \ n|],1)]
So I take the first n observations, that are drawn randomly from p0, and
then sort them again.
Thereafter I match this random subsample with another sample (I'm doing a
Fairlie decomposition). So I guess it is necessary to account for the sample
weights when I match the random subsample with another sample?
Could anyone help me with this?
Thanks a lot in advance,
Ellen Van de Poel
___________________________________________
Ellen Van de Poel
Department of Applied Economics
Erasmus School of Economics and Business Economics
Erasmus University Rotterdam
Burg. Oudlaan 50
3000 DR Rotterdam
The Netherlands
Room H13-09
T: +31 (0) 10 408 15 02
F: +31 (0) 10 408 91 41
E : [email protected]
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