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st: Average Marginal Effects on Recursive Bivariate Probit

From   "Damien Jourdain AIT" <>
To   <>
Subject   st: Average Marginal Effects on Recursive Bivariate Probit
Date   Thu, 10 Oct 2013 12:16:39 +0700

Dear all, 

I am new to stata, and I am trying to run a recursive bivariate probit as

biprobit (qgregistration = labha perceptionimpact education exp1 exp2
govplus knowgap1 gapchannel ///
	own1 own2 afilliations expcostreduction offfarm ricetraining ) ///
	 (ricetraining = labha perceptionimpact exp2 afilliations,
noconstant), vce(robust)

It runs ok, and I am rejecting the H0: rho=0;

I am now  interested in calculating the marginal effects... and run into a

When I run the command (I actually want to have the average marginal effect
of labha on prob(qregistration=1):
margins, predict(pmarg1) dydx(labha own1 own2)

I have the following error message:
prediction is a function of possibly stochastic quantities other than e(b)

After reading the docs, I found that it apparently cannot calculate the
standard errors with the data available in e(b)
So when I run the command 
margins, predict(pmarg1) dydx(labha own1 own2) nose

it actually works, but obviously I do not have the se (usually required!)

So I have two questions:
1. Am I really doing things properly to calculate the average marginal
effect of labha on prob(qregistration=1), knowing there is a direct effect
on the first equation and an indirect effect via the second equation... (I
guess the question is whether margins takes care behind the scene of this
2. If I do properly thing, then how can I calculate se by another mean?

Apologies if this questions appears obvious to long time practitionners, but
I am stuck after quite some effort to find equivalent problems on this list.

Thank you for any help.


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