Modelling zero-inflated count data when exposure varies: with an application to sick leave

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.

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Year of publication:	2012-02
Authors:	Baetschmann, Gregori ; Winkelmann, Rainer
Institutions:	Institut für Volkswirtschaftslehre, Wirtschaftswissenschaftliche Fakutät
Subject:	Exposure \| Poisson regression \| complementary log-log link

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Extent:	application/pdf
Series:	ECON - Working Papers. - ISSN 1664-7041.
Type of publication:	Book / Working Paper
Language:	English
Notes:	The text is part of a series Econ working papers Number 061
Classification:	J29 - Time Allocation; Work Behavior; Employment Determination and Creation. Other ; C25 - Discrete Regression and Qualitative Choice Models
Source:	RePEc - Research Papers in Economics

Persistent link: https://ebvufind01.dmz1.zbw.eu/10009645598