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From | Michael Alexander <Michael.Alexander@aifs.gov.au> |
To | statalist@hsphsun2.harvard.edu |
Subject | st: Re: probit and ordered probit eqns in a simultaneous system |
Date | Tue, 11 Jul 2006 11:37:52 +1000 |
Hi listreaders--
I have a particular econometric problem that I am trying to analyse in Stata. I am trying to model employment of mothers (binary dependent variable) with the inclusion of self-reported health as an explanatory variable. I am postulating that self-reported health (a five-level categorical variable) is endogeous to employment. Following Cai and Kalb (2006) I am also postulating that labour force status is also a determinant of self-reported health (although this is of secondary importance to me).
Consequently, my modelling approach was to do a system of two equations (one for LFS and one for self-reported health) and estimate them simultaneously. Unfortunately, I have only found the -mvprobit- command which will sort of allow me to model this, but only if I convert my self-reported health variable to a binary variable. What I ideally need is a command that will allow me to simultaneously model a binary dependent variable (employment) and an ordinal categorical dependent variable (self-reported health, which has five-levels). Does such a command exist? Or am I able to build my own estimator ? (Not something I am keen on as I haven't done a lot of programming but am willing to give it a go if this is the only approach).
An alternative approach would be to not worry about the impact of LFS on self-reported health and only focus on the endogenous nature of self-reported health on employment. That way I could use an instrumental variable approach to dealing with the endogeniety of self-reported health in an employment equation. But as far as I can make out, this still requires me to model self-reported health as a binary variable (using -ivprobit-). Can I use an instrumental variable approach even when my endogeous variable is (ordinal) categorical.
Thanks in anticipation
Michael
Cai, L. and Kalb, K. (2006), 'Health Status and Labour Force Participation: Evidence from the HILDA Data', Health Economics, vol. 15, March, pp. 241-261.
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