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Contribution Details

Type Working Paper
Scope Discipline-based scholarship
Title Modelling zero-inflated count data when exposure varies: with an application to sick leave
Organization Unit
Authors
  • Gregori Baetschmann
  • Rainer Winkelmann
Language
  • English
Institution University of Zurich
Series Name Working paper series / Department of Economics
Number 61
ISSN 1664-7041 (P) 1664-705X (E)
Number of Pages 14
Date 2012
Abstract Text 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.
Official URL http://www.econ.uzh.ch/static/wp/econwp061.pdf
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Keywords Exposure, Poisson regression, complementary log-log link, Poisson-Prozess, stochastischer Prozess, Statistik