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st: Conditional Probabilities after bivariate probit
From
orc un <[email protected]>
To
[email protected]
Subject
st: Conditional Probabilities after bivariate probit
Date
Fri, 10 Jun 2011 17:48:21 +0100 (BST)
Dear Statalist users,
I have a question regarding the conditional probability computation for Bivariate Probit model. As far as I know it is possible to compute P(Y1=1|Y2=1) for a bivariate Probit model using the standard Stata commands as mfx, predict(pcond1) .However I would like to compute the P(Y1=1|Y2=0). Is it possible to compute this marginal effects by just creating an alternative dependent variable(Y2c) which takes the complement values of Y2 (ie for Y2=1 then Y2c=0 and for Y2=0 then Y2c=1) and compute P(Y1=1|Y2c=1) instead of P(Y1=1|Y2=0). If yes is it possible to use the same approach for recursive bivariate probit model??
Thanks in Advance
Orcun
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