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Contribution Details

Type Working Paper
Scope Discipline-based scholarship
Title Consistent estimation of zero-inflated count models
Organization Unit
Authors
  • Kevin E Staub
  • Rainer Winkelmann
Language
  • English
Institution University of Zurich
Series Name Working paper series / Socioeconomic Institute
Number No. 0908
Date 2011
Abstract Text Applications of zero-inflated count data models have proliferated in health economics. However, zero-inflated Poisson or zero-inflated negative binomial maximum likelihood estimators are not robust to misspeci*fication. This paper proposes Poisson quasi-likelihood estimators as an alternative. These estimators are consistent in the presence of excess zeros without having to specify the full distribution. The advantages of the Poisson quasi-likelihood approach are illustrated in a series of Monte Carlo simulations and in an application to the demand for health services.
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