Modelling zero-inflated count data when exposure varies: with an application to sick leave
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.
|Date of creation:||Feb 2012|
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SOI - Working Papers
0908, Socioeconomic Institute - University of Zurich, revised Aug 2011.
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- 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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