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.
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- Kevin E. Staub & Rainer Winkelmann, 2009.
"Consistent estimation of zero-inflated count models,"
SOI - Working Papers
0908, Socioeconomic Institute - University of Zurich, revised Aug 2011.
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