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
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Find related papers by JEL classification: C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Semiparametric and Nonparametric Methods C41 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Duration Analysis J64 - Labor and Demographic Economics - - Mobility, Unemployment, and Vacancies - - - Unemployment: Models, Duration, Incidence, and Job Search
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