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st: helo with recursive biprobit with partial observability


From   健 张 <victerzj2@yahoo.com.cn>
To   "statalist@hsphsun2.harvard.edu" <statalist@hsphsun2.harvard.edu>
Subject   st: helo with recursive biprobit with partial observability
Date   Sat, 13 Aug 2011 09:11:31 +0800 (CST)

Hi, all:
I am trying to estimate a recursive biprobit model with partial observability. It is similar to Feinstein (1990)'s DCE model.
Y1i=X1*b+ui
Y2i=X2*c+F(X1*b)*d+vi 
 
So basically I need to estimate the equation of Y1i and Y2i by using biprobit with partial observability since I only have the data for all my Xs and Z=Y1i*Y2i. I know
that if I dont have the F(.) term in the Y2i equation, I can simply use biprobit (Y1 X1....) (Y2 X2.....), partial. And if it is only a simply recursive biprobit model, I also can use biprobit (Y1 X1) (Y2 Y1 X2). However, it is a recursive biprobit model with partial observability. I dont really have the data for Y1, so I can not code it like a simply recursive biprobit model. Anyone knows how to write a code in stata to estimate such model.
Thanks in advance!

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