Markov Chain Monte Carlo Analysis of Underreported Count Data With an Application to Worker Absenteeism
نویسنده
چکیده
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 rm size I had helpful discussions with John Landon Lane and Siddharta Chib Valuable comments by two anonymous referees are gratefully acknowledged
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