I have a 3 period model which estimates the effect of
maternal behaviors (smoking and breastfeeding) on
child health (asthma). Childhood asthma at age three
is a function of smoking at (up to) age 3 and
breastfeeding up to age 1. Low birthweight is also
treated as endogenous. So, I have three endogenous
(and dichotomous) RHS variables:
asthma at age 3=f(smoking at (up to) age 3,
breastfeeding at age 1, low birth weight, various
socioeconomic characteristics).
I was advised to use IV probit, but from what I
understand, because all of endogenous regressors are
binary and not continuous, this would not be
appropriate to use in this case. I also gather that
mvprobit would apply more to SURE types of models.
The other issue is that I am unclear how to account
for the fact that my endogenous variables appear in
different time periods, and so using a simple ivreg
type of command would not seem to be appropriate. For
example, breastfeeding at year 1 would be a function
of say, income at year 1, while smoking at year 3
would obviously be a function of say, income in year
3.
I would appreciate any advice on what estimation
method or methods would be more appropriate in this
case.
If the facts don't fit the theory, change the facts.
-Albert Einstein
____________________________________________________________________________________
Fussy? Opinionated? Impossible to please? Perfect. Join Yahoo!'s user panel and lay it on us. http://surveylink.yahoo.com/gmrs/yahoo_panel_invite.asp?a=7
*
* For searches and help try:
* http://www.stata.com/support/faqs/res/findit.html
* http://www.stata.com/support/statalist/faq
* http://www.ats.ucla.edu/stat/stata/
