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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Description

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.

Langue

English

Date

1996

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