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st: marginal effect Conditional (recursive) mixed process estimator-marginal effect


From   Cavalli Laura <laura.cavalli@unicatt.it>
To   "statalist@hsphsun2.harvard.edu" <statalist@hsphsun2.harvard.edu>
Subject   st: marginal effect Conditional (recursive) mixed process estimator-marginal effect
Date   Mon, 14 Jun 2010 12:43:05 +0200

Dear all,
I try to better re-state my doubt.
I'm running a cmp model for two equation, the first is an oprobit (the probability of having n children), while the second il a simple probit thaty considers the probability of working or not. I need to find the marginal effects and the std errors because coefficients are not informative. I tried to use the different syntaxes, but I still have problems:

- mfx, predict (pr outcome (#1)) nonlinear, but it does not provide the standard errors
- mfx, predict (pr outcome(#1)) diagnostic (vce), but it said that predict() is unsuitable for s.e. calculation
- mfx, predict (pr outcome (#1)) nonlinear force , but I do not want to force something wrong!

Any suggestions?

Thanks in advance!

Laura

----
Laura Cavalli


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