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date: 19 February 2020

Abstract and Keywords

This chapter surveys panel data methods for a count dependent variable that takes nonnegative integer values, such as number of doctor visits. The focus is on short panels, as the literature has concentrated on this case. The survey covers both static and dynamic models with random and fixed effects. The chapter surveys quasi---ML\ methods based on the Poisson, as well as richer more parametric models - negative binomial models, finite mixture models, hurdle models, and with-zeros models.

Keywords: count, Poisson, negative binomial, panel, fixed effects, random effects, finite mixtures, latent class, hurdle, with-zeros, dynamic models, GMM

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