st: stcox question

[Robert Davidson <rhd773@gmail.com>]

Hello,

I am estimating several hazard models, using stcox, using the by
command to separate by whether or not the the observations (people)
have criminal records.
I am estimating a standard model: by crime, sort: stcox (varlist) and
clustering the standard errors.
I would like to test whether some of my coefficients/hazard rates (of
variables in varlist) for one type (say those with criminal records)
are significantly larger than for the other type.  Is there a way I
can do this that does not involve running the model on the full sample
and creating an interaction term (criminal record * var x)?  I would
like to avoid all of the issues that arise with interaction
coefficients in binary models as people in my area are quite skeptical
of the interpretation of such interactions.  I know I can estimate a
logit model and use the Norton et al. correction for the interaction,
but I would like to find a more convincing way to test this difference
across models.

Thank you,
Rob
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