CONSISTENT ESTIMATION OF ZERO‐INFLATED COUNT MODELS
Copyright policy )CONSISTENT ESTIMATION OF ZERO‐INFLATED COUNT MODELS
ABSTRACTApplications 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. Copyright © 2012 John Wiley & Sons, Ltd.
- EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH Switzerland
- Institute for the Study of Labor Germany
- University of Zurich Switzerland
Health Services Needs and Demand, Likelihood Functions, Models, Statistical, Excess zeros, Poisson, logit, unobserved heterogeneity, misspecification, I12, 2719 Health Policy, 330 Economics, Models, Economic, 10007 Department of Economics, Humans, C25, SOI Socioeconomic Institute (former), Poisson Distribution, Monte Carlo Method, C12, jel: jel:C12, jel: jel:C25, jel: jel:I12
Health Services Needs and Demand, Likelihood Functions, Models, Statistical, Excess zeros, Poisson, logit, unobserved heterogeneity, misspecification, I12, 2719 Health Policy, 330 Economics, Models, Economic, 10007 Department of Economics, Humans, C25, SOI Socioeconomic Institute (former), Poisson Distribution, Monte Carlo Method, C12, jel: jel:C12, jel: jel:C25, jel: jel:I12
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