Markov Chain Monte Carlo analysis of underreported count data with an application to worker absenteeism
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Auteur(s)
Winkelmann, Rainer
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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.
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Langue
English
Data
1996
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