Markov Chain Monte Carlo Analysis of Underreported Count Data with an Application to Worker Absenteeism.

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 the firm size.

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Year of publication:	1996
Authors:	Winkelmann, Rainer
Published in:	Empirical Economics. - Department of Economics and Finance Research and Teaching. - Vol. 21.1996, 4, p. 575-87
Publisher:	Department of Economics and Finance Research and Teaching

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Type of publication:	Article
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10005166612