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Modelling Zero-Inflated Count Data When Exposure Varies: With an Application to Sick Leave


Gregori Baetschmann


University of Zurich

Rainer Winkelmann


University of Zurich - Statistics and Empirical Economic Research; Institute for the Study of Labor (IZA); Centre for Economic Policy Research (CEPR)

February 1, 2012

University of Zurich Department of Economics Working Paper No. 61

Abstract:     
This 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 e ffect of insurance generosity on the number of absent days.

Number of Pages in PDF File: 16

Keywords: Exposure, Poisson regression, complementary log-log link

JEL Classification: J29, C25

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Date posted: February 17, 2012 ; Last revised: February 24, 2012

Suggested Citation

Baetschmann, Gregori and Winkelmann, Rainer, Modelling Zero-Inflated Count Data When Exposure Varies: With an Application to Sick Leave (February 1, 2012). University of Zurich Department of Economics Working Paper No. 61. Available at SSRN: http://ssrn.com/abstract=2005793 or http://dx.doi.org/10.2139/ssrn.2005793

Contact Information

Gregori Baetschmann (Contact Author)
University of Zurich ( email )
Rämistrasse 71
Zürich, CH-8006
Switzerland
Rainer Winkelmann
University of Zurich - Statistics and Empirical Economic Research ( email )
Raemistrasse 62
CH-8001 Zurich
Switzerland
++41 1 634 2292 (Phone)
++41 1 634 4996 (Fax)
HOME PAGE: http://www.unizh.ch/sts/
Institute for the Study of Labor (IZA) ( email )
P.O. Box 7240
Bonn, D-53072
Germany
+49 228 3894 503 (Phone)
+49 228 3894 510 (Fax)
Centre for Economic Policy Research (CEPR)
77 Bastwick Street
London, EC1V 3PZ
United Kingdom
Feedback to SSRN (Beta)


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