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Type | Working Paper |
Scope | Discipline-based scholarship |
Title | Modelling zero-inflated count data when exposure varies: with an application to sick leave |
Organization Unit | |
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Language |
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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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PDF File | Download from ZORA |
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Keywords | Exposure, Poisson regression, complementary log-log link, Poisson-Prozess, stochastischer Prozess, Statistik |