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Consistent estimation of zero-inflated count models


Staub, Kevin E; Winkelmann, Rainer (2011). Consistent estimation of zero-inflated count models. Working paper series / Socioeconomic Institute No. 0908, University of Zurich.

Abstract

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.

Abstract

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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Additional indexing

Item Type:Working Paper
Communities & Collections:03 Faculty of Economics > Department of Economics
Working Paper Series > Socioeconomic Institute (former)
Dewey Decimal Classification:330 Economics
JEL Classification:I12, C12, C25
Language:English
Date:August 2011
Deposited On:25 Nov 2011 10:13
Last Modified:12 Aug 2017 12:31
Series Name:Working paper series / Socioeconomic Institute
Additional Information:Revised version
Official URL:http://www.econ.uzh.ch/wp.html

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