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

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  • Winkelmann, Rainer

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.

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Bibliographic Info

Article provided by Springer in its journal Empirical Economics.

Volume (Year): 21 (1996)
Issue (Month): 4 ()
Pages: 575-87

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Handle: RePEc:spr:empeco:v:21:y:1996:i:4:p:575-87

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Cited by:
  1. Peter Fader & Bruce Hardie, 2000. "A note on modelling underreported Poisson counts," Journal of Applied Statistics, Taylor & Francis Journals, vol. 27(8), pages 953-964.

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