I am working with survey data and have discovered a problem with which
someone out there may be able to help:
I have been estimating models of changes in adolescents' test scores using
the Heckman procedure because I am not convinced that those missing test
scores are missing at random. There appears to be a strong selection
process going on such that some respondents to the survey are less likely to
have taken the test.
It has been called to my attention that I need to adjust for design effects
with my survey data. The svy commands are quite handy for this when it
comes to estimating means and frequencies. Unfortunately, I do not see a
way to incorporate the two step Heckman approach AND adjust for design
effects. Can anyone offer a solution?
Thank-you.
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