On Mon, 31 Mar 2003 13:16:46 -0500 Robert Bozick <[email protected]>
wrote:
... snip ...
> I do have exact dates of degree completion (month/year). I had wanted
to use hazard models because of the right censoring issue in the data:
a large proportion of the sample had not completed a degree before the
time of the interview. I guess that leaves me in a bind: If I use the
logit model, I can obtain the 'proper' standard errors, but not correct
for the censoring. If I use the hazard model, I can correct for the
right censoring problem, but not have the proper standard errors. >
> Am I looking at this correctly? Any other thoughts? >
1. You can handle the right-censoring correctly in discrete-time
models, as long as you have reorganised your data in a specific way
beforehand and created a "new" censoring variable. It's very easy to
do.
See the -discrete- Manual entry that I cited yesterday, the Allison
book cited in an earlier message, or indeed lecture notes and materials
at http://www.iser.essex.ac.uk/teaching/stephenj/ec968/index.php
They explain how to set things up, and explain why they produce the
correct likelihood.
2. My comment yesterday was therefore more about exploiting the "svy"
aspect of -svylogit- (rather than the standard -logit-)
Stephen
----------------------
Professor Stephen P. Jenkins <[email protected]>
Institute for Social and Economic Research (ISER)
University of Essex, Colchester, CO4 3SQ, UK
Tel: +44 (0)1206 873374. Fax: +44 (0)1206 873151.
http://www.iser.essex.ac.uk
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