Modelling Zero-Inflated Count Data When Exposure Varies: With an Application to Sick Leave
University of Zurich
University of Zurich - Statistics and Empirical Economic Research; Institute for the Study of Labor (IZA); Centre for Economic Policy Research (CEPR)
February 1, 2012
University of Zurich Department of Economics Working Paper No. 61
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.
Number of Pages in PDF File: 16
Keywords: Exposure, Poisson regression, complementary log-log link
JEL Classification: J29, C25working papers series
Date posted: February 17, 2012 ; Last revised: February 24, 2012
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