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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Volume (Year): 21 (1996)
Issue (Month): 4 ()
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