Hi --
I have a dataset in which the observation is a "case". I started with
a complete census of the ~4000 relevant cases; each of them gets a
line in my dataset. I have data filling a few variables about each of
them. (When they were filed, where they were filed, the type of
outcome, etc.)
I randomly sampled them using 3 strata (for one strata, the sampling
probability was 1, for another about .5, and for a third, about .75).
I end up with a sample of about 2000. I know much more about this
sample.
Ok, my question:
1) How do I use the svyset command to describe this dataset? It would
be easy if I just dropped all the non-sampled observations, but I
don't want to do that, because of question 2:
2) How do I compare something about the sample to the entire
population, just to demonstrate that my sample isn't very different
from that entire population on any of the few variables I actually
have comprehensive data about. I could do this simply, if I didn't
have to worry about weighting:
tabulate year sample, chi2
But I need the weights. In addition, I can't simply use weighting
commands, because in the population (when sample == 0), everything
should be weighted the same; the weights apply only to my sample (when
sample == 1). And I can't (so far) use survey commands, because I
don't know the answer to (1), above.
NOTE: Nearly all the variables I care about are categorical: year of
filing, type of case. But it's easy enough to turn them into dummies,
if that's useful.
Thanks for any help with this.
Margo Schlanger
______________________
Professor of Law
University of Michigan Law School
Director, Civil Rights Litigation Clearinghouse
(http://clearinghouse.wustl.edu)
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