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Gamma Duration Models with Heterogeneity

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  • Butler, Richard J
  • Worrall, John D

Abstract

In the authors' analysis of nonwork spells for Workers Compensation Insurance, they use the family of generalized gamma distributions for the structural model of failure time and both nonparametric and parametric controls for heterogeneity. These specifications allow for nested likelihood tests of not only the correct form for parametric heterogeneity, but for the structural distributions as well. The authors find in their data that while heterogeneity is important, both parametric and nonparametric types of control do about equally well. The "best" (in terms of statistical fit) structural distribution is the generalized gamma function; the exponential distribution fits especially poorly. Copyright 1991 by MIT Press.

Suggested Citation

  • Butler, Richard J & Worrall, John D, 1991. "Gamma Duration Models with Heterogeneity," The Review of Economics and Statistics, MIT Press, vol. 73(1), pages 161-166, February.
  • Handle: RePEc:tpr:restat:v:73:y:1991:i:1:p:161-66
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    Cited by:

    1. Lane, Julia & Parkin, Michael, 1998. "Turnover in an Accounting Firm," Journal of Labor Economics, University of Chicago Press, vol. 16(4), pages 702-717, October.
    2. Brian W. Gould, 1996. "Consumer Promotion and Purchase Timing: The Case of Cheese," Wisconsin-Madison Agricultural and Applied Economics Staff Papers 396, Wisconsin-Madison Agricultural and Applied Economics Department.
    3. Gould, Brian W., 1996. "Consumer Promotion And Purchase Timing: The Case Of Cheese," Staff Papers 12664, University of Wisconsin-Madison, Department of Agricultural and Applied Economics.
    4. Fortin, Bernard & Lanoie, Paul, 1998. "Effects of Workers' Compensation: A Survey," Cahiers de recherche 9816, Université Laval - Département d'économique.
    5. Brian GOULD, 1996. "Consumer Promotion And Purchase Timing: The Case Of Cheese," Staff Papers 396, University of Wisconsin Madison, AAE.
    6. Geetha M. Waehrer & Ted R. Miller, 2003. "Restricted Work, Workers’ Compensation, and Days Away from Work," Journal of Human Resources, University of Wisconsin Press, vol. 38(4).

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