Copula-based bivariate binary response models
Rainer Winkelmann
No 913, SOI - Working Papers from Socioeconomic Institute - University of Zurich
Abstract:
The bivariate probit model is frequently used for estimating the effect of an endogenous binary regressor on a binary outcome variable. This paper discusses simple modifications that maintain the probit assumption for the marginal distributions while introducing non-normal dependence among the two variables using copulas. Simulation results and evidence from two applications, one on the effect of insurance status on ambulatory expenditure and one on the effect of completing high school on subsequent unemployment, show that these modified bivariate probit models work well in practice, and that they provide a viable and simple alternative to the standard bivariate probit approach.
Keywords: Bivariate probit; binary endogenous regressor; Frank copula; Clayton copula (search for similar items in EconPapers)
JEL-codes: C23 (search for similar items in EconPapers)
Pages: 26 pages
Date: 2009-08
New Economics Papers: this item is included in nep-dcm and nep-ecm
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Citations: View citations in EconPapers (2)
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https://www.zora.uzh.ch/id/eprint/51923/1/wp0913.pdf first version, 2009 (application/pdf)
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Persistent link: https://EconPapers.repec.org/RePEc:soz:wpaper:0913
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