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Winkelmann, Rainer (1996). Markov Chain Monte Carlo analysis of underreported count data with an application to worker absenteeism. Empirical Economics, 21(4):575-587.
A new approach for modeling under-reported Poisson counts is developed. The parameters of the model are estimated by Markov Chain Monte Carlo simulation. An application to workers absenteeism data from the German Socio-Economic Panel illustrates the fruitfulness of the approach. Worker absenteeism and the level of pay are unrelated, but absence rates increase with firm size.
| Item Type: | Journal Article, refereed, original work |
|---|---|
| Communities & Collections: | 03 Faculty of Economics > Department of Economics |
| Dewey Decimal Classification: | 330 Economics |
| Scopus Subject Areas: | Physical Sciences > Statistics and Probability
Physical Sciences > Mathematics (miscellaneous) Social Sciences & Humanities > Social Sciences (miscellaneous) Social Sciences & Humanities > Economics and Econometrics |
| Scope: | Discipline-based scholarship (basic research) |
| Language: | English |
| Date: | 1996 |
| Deposited On: | 11 Feb 2008 12:21 |
| Last Modified: | 01 Apr 2025 03:39 |
| Publisher: | Springer |
| ISSN: | 0377-7332 |
| OA Status: | Closed |
| Publisher DOI: | https://doi.org/10.1007/BF01180702 |
| Related URLs: | http://search.ebscohost.com/login.aspx?direct=true&db=buh&AN=6759568&loginpage=Login.asp&site=ehost-live |
| Other Identification Number: | merlin-id:2065 |
Winkelmann, Rainer