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The Relationship between Even History and Discrete Time Duration Models: An Application to the Analysis of Personnel Absenteeism

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  • Barmby, Tim

Abstract

This note discusses the parameterization of a conventional event history model that allows the researcher to directly recover the parameters that would be obtained from a direct estimation of the discrete duration model. This method is essentially that described in Yamaguchi (1991) but deserves to be more widely known. Copyright 1998 by Blackwell Publishing Ltd

Suggested Citation

  • Barmby, Tim, 1998. "The Relationship between Even History and Discrete Time Duration Models: An Application to the Analysis of Personnel Absenteeism," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 60(2), pages 261-265, May.
  • Handle: RePEc:bla:obuest:v:60:y:1998:i:2:p:261-65
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    Cited by:

    1. Barmby, Tim & Larguem, Makram, 2009. "Coughs and sneezes spread diseases: An empirical study of absenteeism and infectious illness," Journal of Health Economics, Elsevier, vol. 28(5), pages 1012-1017, September.
    2. Tue Gørgens & Dean Robert Hyslop, 2018. "The Specification of Dynamic Discrete-Time Two-State Panel Data Models," Econometrics, MDPI, Open Access Journal, vol. 7(1), pages 1-16, December.

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