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Contribution Details
| Type | Journal Article |
| Scope | Discipline-based scholarship |
| Title | Markov Chain Monte Carlo analysis of underreported count data with an application to worker absenteeism |
| Organization Unit | |
| Authors |
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| Item Subtype | Original Work |
| Refereed | Yes |
| Status | Published in final form |
| Language |
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| Journal Title | Empirical Economics |
| Publisher | Springer |
| Geographical Reach | international |
| ISSN | 0377-7332 |
| Volume | 21 |
| Number | 4 |
| Page Range | 575 - 587 |
| Date | 1996 |
| Abstract Text | 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. |
| Related URLs | |
| Digital Object Identifier | 10.1007/BF01180702 |
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