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st: Marginal effects in (bi)probit models


From   Martin Watts <Martin.Watts@newcastle.edu.au>
To   statalist@hsphsun2.harvard.edu
Subject   st: Marginal effects in (bi)probit models
Date   Fri, 14 Mar 2008 09:43:32 +1100

I am aware of the Stata code inteff3 which enables the computation of MEs when there is a triple dummy variable interaction term ie
b1x1 + b2x2 + b3x3 + b12x1x2+b13x1x3 + b23x2x3 +b123x1x2x3

but I am unaware of code which computes MEs when there is a gender slope dummy attached to a number of independent variables say for a labor force participation equation. Clearly both age and the presence of children are likely to differ in their impact on lfp of women and men.

So MEs would be required say both for the impact of the presence of a young child on female and male lfp, noting that the change in the dummy variable is impacting on the other variables uin the probit eqn too.

Can anyone cast any light on this problem.

Many thanls.



Martin J. Watts 
Associate Professor of Economics 
School of Economics, Politics and Tourism
Faculty of Business and Law 
Research Associate
Centre of Full Employment and Equity (CofFEE) 
The University of Newcastle 
NSW 2308 
Australia 
Martin.Watts@newcastle.edu.au 
http://e1.newcastle.edu.au/coffee/ 
Phone (61)2 4921-5069 (Work) 
Fax (61)2 4921-6919 (Work) 
Mobile: 0 414 966 751


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