A simple bivariate count data regression model
This paper develops a simple bivariate count data regression model in which dependence between count variables is introduced by means of stochastically related unobserved heterogeneity components. Unlike existing commonly used bivariate models, we obtain a computationally simple closed form of the model with an unrestricted correlation pattern.
Year of publication: |
2007-04-01
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Authors: | Gurmu, Shiferaw ; Elder, John |
Published in: |
Economics Bulletin. - AccessEcon, ISSN 1545-2921. - Vol. 3.2007, 11, p. 1-10
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Publisher: |
AccessEcon |
Saved in:
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