Modelling Zero-Inflated Count Data When Exposure Varies: With an Application to Sick Leave
University of Zurich Department of Economics Working Paper No. 61
16 Pages Posted: 17 Feb 2012 Last revised: 24 Feb 2012
Date Written: February 1, 2012
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
JEL Classification: J29, C25
Suggested Citation: Suggested Citation