It will work in the sense that the log will show results, but why -
poisson-? If your data are not Poisson distributed, some other
procedure for non-negative data may fit better, for example -svy:
nbreg-, or even -svy: reg- on the logarithms. Only you can test these
on your data, so you must make the choice.
-Steve
On Jan 27, 2009, at 11:20 AM, Tomas Lind wrote:
My data is a stratified (on geographical areas) crossectional survey
weighted for design and dropout. Within each strata is a simple
random
sample of a few hundred observations. I need robust standard error
because
data are not truly Poisson (but with robust standard error it works
according to litterature).
I intended to do analysis like this:
svyset [pweight=wgt] , strata(str)
svy: poisson y x1 x2 x3 , irr
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