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

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  • Tim Barmby

Abstract

This note discussed the parameterisation of a conventional event history model which allows the researcher to directly recover the parameters that would be obtained from a direct estimation of the discrete duration model. This method is esentially that described in Yamaguchi (1991), but deserves to be more widely known.

Suggested Citation

  • Tim Barmby, 1998. "The Relationship between Event 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:261-265
    DOI: 10.1111/1468-0084.00099
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    Cited by:

    1. Andrew Henley, 2004. "Self-Employment Status: The Role of State Dependence and Initial Circumstances," Small Business Economics, Springer, vol. 22(1), pages 67-82, February.
    2. 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.
    3. Tue Gørgens & Dean Robert Hyslop, 2018. "The Specification of Dynamic Discrete-Time Two-State Panel Data Models," Econometrics, MDPI, vol. 7(1), pages 1-16, December.
    4. Gørgens, Tue & Hyslop, Dean, 2018. "Equivalent representations of discrete-time two-state panel data models," Economics Letters, Elsevier, vol. 163(C), pages 65-67.
    5. Barmby, Tim, 2002. "Worker absenteeism: a discrete hazard model with bivariate heterogeneity," Labour Economics, Elsevier, vol. 9(4), pages 469-476, September.

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