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Sorry to say, your suspicion was well founded as -ivprobit- is not designed
for binary endogenous variables, as I just learned from the manual. You may
want to look at -ssc d cmp- which allows you to emulate the results of
-biprobit-, but possibly with more flexibility...
HTH
Martin
-----Original Message-----
From: [email protected]
[mailto:[email protected]] On Behalf Of Sun, Yan (IFPRI)
Sent: Montag, 3. August 2009 19:54
To: [email protected]
Subject: st: Explanation of endogenous binary IV using "biprobit"
Thank you, Martin, for your reply. Could you be more specific about what you
mean "This sounds more like a problem for -ivprobit"? I think "ivprobit" is
for binary dependent variable and continuous endogenous variable and
"biprobit" is for binary dependent variable and binary endogenous variable.
Am I using the correct command? Thanks. Yan
*********************************************
This sounds more like a problem for -ivprobit-, though. Be sure to check it
out before you carry on with -biprobit-...
HTH
Martin
-----Ursprüngliche Nachricht-----
Von: [email protected]
[mailto:[email protected]] Im Auftrag von Sun, Yan
(IFPRI)
Gesendet: Montag, 3. August 2009 17:45
An: [email protected]
Betreff: st: Explanation of endogenous binary IV using "biprobit"
Hi,
I have the following equations
Y1=Y2 X1 X2 X3 (1)
Y2=X1 X4 X5 (2)
Where Y1 is binary dependent variable and Y2 is binary endogenous
variable, Xs are exogenous variables.
When I run Probit model of equation (1), Y2 is positive significant; but
when I run equations (1) and (2) together using biprobit, Y2 is not
significant at all (in the 2nd stage), under the wald test of rho: chi2
is very small (with prob very big), which implying rho is not
significant and equation (1) and equation (2) is not correlated,
although X4 and X5 are significant. What does it mean? Does it mean that
Y2 is not endogenous variable and I could use probit model for equation
(1)? Does it also mean that Y2 has a significant impact for Y1?
Thank you very much.
Yan
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