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Journal article

Consistent estimation of zero-inflated count models.

  • 2012-05-25
Published in:
  • Health economics. - 2013
Health Services Needs and Demand
Humans
Likelihood Functions
Models, Economic
Models, Statistical
Monte Carlo Method
Poisson Distribution
English 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 misspecification. This article 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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  • English
Open access status
green
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Persistent URL
https://sonar.ch/global/documents/291504
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