Navigation auf zora.uzh.ch

Search ZORA

ZORA (Zurich Open Repository and Archive)

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.

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, Poisson-Prozess, stochastischer Prozess, Statistik
Scope:Discipline-based scholarship (basic research)
Language:English
Date:February 2012
Deposited On:15 Feb 2012 13:53
Last Modified:15 Mar 2024 11:45
Series Name:Working paper series / Department of Economics
Number of Pages:14
ISSN:1664-7041 (P) 1664-705X (E)
OA Status:Green
Related URLs:https://www.econ.uzh.ch/en/research/workingpapers.html
Other Identification Number:merlin-id:6779

Metadata Export

Statistics

Downloads

630 downloads since deposited on 15 Feb 2012
17 downloads since 12 months
Detailed statistics

Authors, Affiliations, Collaborations

Similar Publications