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.
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.
| 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 |
| Language: | English |
| Date: | February 2012 |
| Deposited On: | 15 Feb 2012 13:53 |
| Last Modified: | 15 Sep 2022 05:41 |
| Series Name: | Working paper series / Department of Economics |
| Number of Pages: | 14 |
| ISSN: | 1664-7041 (P) 1664-705X (E) |
| OA Status: | Green |
| Official URL: | http://www.econ.uzh.ch/static/wp/econwp061.pdf |
| Related URLs: | http://www.econ.uzh.ch/static/workingpapers.php |
Baetschmann, Gregori