Permanent URL to this publication: http://dx.doi.org/10.5167/uzh-59265
Baetschmann, Gregori; Winkelmann, Rainer (2012). Modelling zero-inflated count data when exposure varies: with an application to sick leave. Working paper series / Department of Economics 61, University of Zurich.
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.
|Item Type:||Working Paper|
|Communities & Collections:||03 Faculty of Economics > Department of Economics|
Working Paper Series > Department of Economics
|JEL Classification:||J29, C25|
|Uncontrolled Keywords:||Exposure, Poisson regression, complementary log-log link|
|Deposited On:||15 Feb 2012 13:53|
|Last Modified:||19 Mar 2013 13:16|
|Series Name:||Working paper series / Department of Economics|
|Number of Pages:||14|
|ISSN:||1664-7041 (P) 1664-705X (E)|
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