A dynamic hurdle model for zero-inflated count data
Author:
Affiliation:
1. Department of Sociology, University of Berne, Berne, Switzerland
2. Department of Economics, University of Zurich, Zurich, Switzerland
Publisher
Informa UK Limited
Subject
Statistics and Probability
Link
https://www.tandfonline.com/doi/pdf/10.1080/03610926.2016.1146766
Reference19 articles.
1. Modeling zero-inflated count data when exposure varies: With an application to tumor counts
2. Econometric models based on count data. Comparisons and applications of some estimators and tests
3. Regression Analysis of Count Data
4. The recurrence of occupational injuries: estimates from a zero inflated count model
5. On the Distribution of the Likelihood Ratio
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