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Quantile regression for duration data: A reappraisal of the Pennsylvania Reemployment Bonus Experiments

Author

Listed:
  • Yannis Bilias

    (University of Cyprus, e-mail: bilias@ucy.ac.cy)

  • Roger Koenker

    (University of Illinois at Urbana-Champaign Champaign, IL 61820, USA)

Abstract

We argue that quantile regression methods can play a constructive role in the analysis of duration (survival) data offering a more flexible, more complete analysis than is typically available with more conventional methods. We illustrate the approach with a reanalysis of the data from the Pennsylvania Reemployment Bonus Experiments. These experiments, conducted in 1988-89, were designed to test the efficacy of cash bonuses paid for early reemployment in shortening the length of insured unemployment spells

Suggested Citation

  • Yannis Bilias & Roger Koenker, 2001. "Quantile regression for duration data: A reappraisal of the Pennsylvania Reemployment Bonus Experiments," Empirical Economics, Springer, vol. 26(1), pages 199-220.
    • Handle: RePEc:spr:empeco:v:26:y:2001:i:1:p:199-220
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    Keywords

    wage differentials · quantile regression.;

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C41 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Duration Analysis; Optimal Timing Strategies
    • J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search

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