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.
| PDF 115Kb |
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.
| 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 14:53 |
| Last Modified: | 19 Mar 2013 14:16 |
| 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 |
Users (please log in): suggest update or correction for this item
Repository Staff Only: item control page