Permanent URL to this publication: http://dx.doi.org/10.5167/uzh-51508
Staub, Kevin E; Winkelmann, Rainer (2011). Consistent estimation of zero-inflated count models. Working paper series / Socioeconomic Institute No. 0908, University of Zurich.
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.
783 downloads since deposited on 25 Nov 2011
188 downloads since 12 months
|Item Type:||Working Paper|
|Communities & Collections:||03 Faculty of Economics > Department of Economics
Working Paper Series > Socioeconomic Institute (former)
|JEL Classification:||I12, C12, C25|
|Deposited On:||25 Nov 2011 10:13|
|Last Modified:||09 Jul 2012 04:59|
|Series Name:||Working paper series / Socioeconomic Institute|
|Additional Information:||Revised version|
Users (please log in): suggest update or correction for this item
Repository Staff Only: item control page