UZH-Logo

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.

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.

Downloads

976 downloads since deposited on 25 Nov 2011
112 downloads since 12 months
Detailed statistics

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:05 Apr 2016 15:08
Series Name:Working paper series / Socioeconomic Institute
Additional Information:Revised version
Official URL:http://www.econ.uzh.ch/wp.html
Permanent URL: http://doi.org/10.5167/uzh-51508

Download

[img]
Preview
Filetype: PDF
Size: 287kB

TrendTerms

TrendTerms displays relevant terms of the abstract of this publication and related documents on a map. The terms and their relations were extracted from ZORA using word statistics. Their timelines are taken from ZORA as well. The bubble size of a term is proportional to the number of documents where the term occurs. Red, orange, yellow and green colors are used for terms that occur in the current document; red indicates high interlinkedness of a term with other terms, orange, yellow and green decreasing interlinkedness. Blue is used for terms that have a relation with the terms in this document, but occur in other documents.
You can navigate and zoom the map. Mouse-hovering a term displays its timeline, clicking it yields the associated documents.

Author Collaborations