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


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.

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.

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
Dewey Decimal Classification: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:05 Apr 2016 15:37
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
Permanent URL: https://doi.org/10.5167/uzh-59265

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