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bicop: A command for fitting bivariate ordinal regressions with residual dependence characterized by a copula function and normal mixture marginals

Hernandez-Alava, M and Pudney, S (2016) 'bicop: A command for fitting bivariate ordinal regressions with residual dependence characterized by a copula function and normal mixture marginals.' The Stata Journal, 16 (1). pp. 159-184. ISSN 1536-867X

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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.

Item Type: Article
Uncontrolled Keywords: st0429; bicop; bivariate ordinal regression; copula; mixture model
Subjects: H Social Sciences > H Social Sciences (General)
H Social Sciences > HA Statistics
Divisions: Faculty of Social Sciences
Faculty of Social Sciences > Institute for Social and Economic Research
SWORD Depositor: Elements
Depositing User: Elements
Date Deposited: 27 May 2016 13:39
Last Modified: 06 Jan 2022 13:29
URI: http://repository.essex.ac.uk/id/eprint/16805

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