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Title:A bivariate ordered probit estimator with mixed effects PDF Logo
Authors:Buscha, Franz
Conte, Anna
Issue Date:2010
Series/Report no.:Jena economic research papers 2009,103
Abstract:In this paper, we discuss the derivation and application of a bivariate ordered probit model with mixed effects. Our approach allows one to estimate the distribution of the effect (gamma) of an endogenous ordered variable on an ordered explanatory variable. By allowing gamma to vary over the population, our estimator offers a more flexible parametric setting to recover the causal effect of an endogenous variable in an ordered choice setting. We use Monte Carlo simulations to examine the performance of the maximum likelihood estimator of our system and apply this to a relevant example from the UK education literature.
Subjects:bivariate ordered probit
maximum likelihood
mixed effects
Document Type:Working Paper
Appears in Collections:Jena Economic Research Papers (2007-2014), Max-Planck-Institut für Ökonomik und Universität Jena

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