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Contribution Details
| Type | Journal Article |
| Scope | Discipline-based scholarship |
| Title | Consistent estimation of zero-inflated count models |
| Organization Unit | |
| Authors |
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| Item Subtype | Original Work |
| Refereed | Yes |
| Status | Published in final form |
| Language |
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| Journal Title | Health Economics |
| Publisher | Wiley-Blackwell |
| Geographical Reach | international |
| ISSN | 1057-9230 |
| Volume | 22 |
| Number | 6 |
| Page Range | 673 - 686 |
| Date | 2013 |
| Abstract Text | 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. |
| Free access at | Related URL |
| Digital Object Identifier | 10.1002/hec.2844 |
| Other Identification Number | merlin-id:7053 |
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