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

Rainer Winkelmann

Empirical Economics, 1996, vol. 21, issue 4, 575-87

Abstract: 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.

Date: 1996
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