A bivariate Poisson count data model using conditional probabilities
نویسنده
چکیده
The applied econometrics of bivariate count data predominantly focus on a bivariate Poisson density described by Johnson and Kotz. The main limitation is that this bivariate distribution excludes zero and negative correlation. This paper introduces a new model which allows for a more exible correlation structure. To this end the joint density is decomposed by means of the multiplication rule in marginal and conditional densities. Simulation experiments and an application of the model to recreational data are presented.
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تاریخ انتشار 2004