Modelling zero-inflated count data when exposure varies: with an application to sick leave
AbstractThis paper is concerned with the analysis of zero-inflated count data when time of exposure varies. It proposes a new zero-inflated count data model that is based on two homogeneous Poisson processes and accounts for exposure time in a theory consistent way. The new model is used in an application to the effect of insurance generosity on the number of absent days.
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Bibliographic InfoPaper provided by Department of Economics - University of Zurich in its series ECON - Working Papers with number 061.
Date of creation: Feb 2012
Date of revision:
Exposure; Poisson regression; complementary log-log link;
Find related papers by JEL classification:
- J29 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Other
- C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
This paper has been announced in the following NEP Reports:
- NEP-ALL-2012-02-20 (All new papers)
- NEP-ECM-2012-02-20 (Econometrics)
- NEP-HEA-2012-02-20 (Health Economics)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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- Kevin E. Staub & Rainer Winkelmann, 2009. "Consistent estimation of zero-inflated count models," Working Papers 0908, University of Zurich, Socioeconomic Institute, revised Aug 2011.
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- Pizer, Steven D. & Prentice, Julia C., 2011. "Time is money: Outpatient waiting times and health insurance choices of elderly veterans in the United States," Journal of Health Economics, Elsevier, vol. 30(4), pages 626-636, July.
- Barmby, Tim & Nolan, Michael & Winkelmann, Rainer, 2001. "Contracted Workdays and Absence," Manchester School, University of Manchester, vol. 69(3), pages 269-75, June.
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