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 e ffect of insurance generosity on the number of absent days

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Year of publication:	2012
Authors:	Baetschmann, Gregori ; Winkelmann, Rainer
Publisher:	[S.l.] : SSRN
Subject:	Theorie \| Theory \| Generalisiertes lineares Modell \| Generalized linear model \| Regressionsanalyse \| Regression analysis \| Stochastischer Prozess \| Stochastic process

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Extent:	1 Online-Ressource (16 p)
Series:	University of Zurich Department of Economics Working Paper ; No. 61
Type of publication:	Book / Working Paper
Language:	English
Notes:	Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments February 1, 2012 erstellt
Other identifiers:	10.2139/ssrn.2005793 [DOI]
Classification:	J29 - Time Allocation; Work Behavior; Employment Determination and Creation. Other ; C25 - Discrete Regression and Qualitative Choice Models
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10014172875