Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/77528
Authors: 
Baetschmann, Gregori
Winkelmann, Rainer
Year of Publication: 
2012
Series/Report no.: 
Working Paper Series, Department of Economics, University of Zurich 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 effect of insurance generosity on the number of absent days.
Subjects: 
exposure
Poisson regression
complementary log-log link
JEL: 
J29
C25
Persistent Identifier of the first edition: 
Document Type: 
Working Paper

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