Modelling zero-inflated count data when exposure varies: with an application to sick leave

Gregori Baetschmann and Rainer Winkelmann

No 61, ECON - Working Papers from Department of Economics - University of Zurich

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.

Keywords: Exposure; Poisson regression; complementary log-log link (search for similar items in EconPapers)
JEL-codes: C25 J29 (search for similar items in EconPapers)
Date: 2012-02
New Economics Papers: this item is included in nep-ecm and nep-hea
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:zur:econwp:061

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