Random Effects Models for Panel Count Data

Rainer Winkelmann

No 263790, Department of Economics Discussion Papers from University of Canterbury - New Zealand

Abstract: This paper discusses the specification and extimation of random effects count data models. A new multivariate count data model with negative binomial marginals is derived. In contrast to the existing multivariate Poisson model, this model allows for over-dispersion, a phenomenon that is frequently encountered in real data applications. In addition, a multi-factor Poisson model with general individual specific covariance structure is formulated, and an algorithm for estimating the parameters of the model by Simulated Maximum Likelihood is presented.

Keywords: Research; Methods/Statistical; Methods (search for similar items in EconPapers)
Pages: 23
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Persistent link: https://EconPapers.repec.org/RePEc:ags:canzdp:263790

DOI: 10.22004/ag.econ.263790

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