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Fixed effects maximum likelihood estimation of a flexibly parametric proportional hazard model with an application to job exits

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  • Light, Audrey
  • Omori, Yoshiaki

Abstract

We extend the fixed effects maximum likelihood estimator to a proportional hazard model with a flexibly parametric baseline hazard. We use the method to estimate a job duration model for young men, and show that failure to account for unobserved fixed effects causes negative schooling and union effects to be downward biased.

Suggested Citation

  • Light, Audrey & Omori, Yoshiaki, 2012. "Fixed effects maximum likelihood estimation of a flexibly parametric proportional hazard model with an application to job exits," Economics Letters, Elsevier, vol. 116(2), pages 236-239.
    • Handle: RePEc:eee:ecolet:v:116:y:2012:i:2:p:236-239
    DOI: 10.1016/j.econlet.2012.02.030
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    References listed on IDEAS

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    1. Meyer, Bruce D, 1990. "Unemployment Insurance and Unemployment Spells," Econometrica, Econometric Society, vol. 58(4), pages 757-782, July.
    2. Horowitz, Joel L. & Lee, Sokbae, 2004. "Semiparametric estimation of a panel data proportional hazards model with fixed effects," Journal of Econometrics, Elsevier, vol. 119(1), pages 155-198, March.
    3. Van den Berg, Gerard J., 2001. "Duration models: specification, identification and multiple durations," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 5, chapter 55, pages 3381-3460, Elsevier.
    4. Ridder, Geert & Tunali, Insan, 1999. "Stratified partial likelihood estimation," Journal of Econometrics, Elsevier, vol. 92(2), pages 193-232, October.
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    Cited by:

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    More about this item

    Keywords

    Proportional hazard model; Fixed effects; Job mobility; Causal schooling effects;
    All these keywords.

    JEL classification:

    • C41 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Duration Analysis; Optimal Timing Strategies

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