bicop: A command for fitting bivariate ordinal regressions with residual dependence characterized by a copula function and normal mixture marginals
Mónica Hernández-Alava
School of Health and Related Research (ScHARR)
Health Economics and Decision Science
University of Sheffield
Sheffield, UK
[email protected]
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Stephen Pudney
Institute for Social and Economic Research (ISER)
University of Essex
Colchester, UK
[email protected]
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Abstract. In this article, we describe a new Stata command, bicop, for fitting a
model consisting of a pair of ordinal regressions with a flexible residual
distribution, with each marginal distribution specified as a two-part normal
mixture, and stochastic dependence governed by a choice of copula functions.
The bicop command generalizes the existing biprobit and
bioprobit commands, which assume a bivariate normal residual
distribution. We present and explain the bicop estimation command and
the available postestimation commands using data on financial well-being from
the UK Understanding Society Panel Survey.
View all articles by these authors:
Mónica Hernández-Alava, Stephen Pudney
View all articles with these keywords:
bicop, bivariate ordinal regression, copula, mixture model
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