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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.

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Abstract

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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Additional indexing

Item Type:Working Paper
Communities & Collections:03 Faculty of Economics > Department of Economics
Working Paper Series > Department of Economics
DDC:330 Economics
JEL Classification:J29, C25
Uncontrolled Keywords:Exposure, Poisson regression, complementary log-log link
Language:English
Date:February 2012
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)
Official URL:http://www.econ.uzh.ch/static/wp/econwp061.pdf
Related URLs:http://www.econ.uzh.ch/static/workingpapers.php

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