Quantile regression for duration data: A reappraisal of the Pennsylvania reemployment bonus experiments

Roger W Koenker, Yannis Bilias

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish (US)
Pages (from-to)199-220
Number of pages22
JournalEmpirical Economics
Volume26
Issue number1
DOIs
StatePublished - Mar 2001

Keywords

  • Quantile regression
  • Wage differentials

ASJC Scopus subject areas

  • Statistics and Probability
  • Mathematics (miscellaneous)
  • Social Sciences (miscellaneous)
  • Economics and Econometrics

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