Home  >>  Archives  >>  Volume 16 Number 1  >>  st0429

The Stata Journal
Volume 16 Number 1: pp. 159-184



Subscribe to the Stata Journal
cover

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
monica.hernandez@sheffield.ac.uk
Stephen Pudney
Institute for Social and Economic Research (ISER)
University of Essex
Colchester, UK
spudney@essex.ac.uk
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.
Terms of use     View this article (PDF)

View all articles by these authors: Mónica Hernández-Alava, Stephen Pudney

View all articles with these keywords: bicop, bivariate ordinal regression, copula, mixture model

Download citation: BibTeX  RIS

Download citation and abstract: BibTeX  RIS