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. DOI https://doi.org/10.1177/1536867x1601600114
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. DOI https://doi.org/10.1177/1536867x1601600114
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. DOI https://doi.org/10.1177/1536867x1601600114
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: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 27 May 2016 13:39 |
Last Modified: | 16 May 2024 18:34 |
URI: | http://repository.essex.ac.uk/id/eprint/16805 |
Available files
Filename: sjart_st0429.pdf