Policy Discontinuity and Duration Outcomes

Gerard J. van den Berg, Antoine Bozio, Mónica Costa Dias

Research output: Contribution to journalArticle (Academic Journal)peer-review

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Abstract

Causal effects of a policy change on hazard rates of a duration outcome variable are not identified from a comparison of spells before and after the policy change, if there is unobserved heterogeneity in the effects and no model structure is imposed. We develop a discontinuity approach that overcomes this by considering spells that include the moment of the policy change and by exploiting variation in the moment at which different cohorts are exposed to the policy change. We prove identification of average treatment effects on hazard rates without model structure. We estimate these effects by kernel hazard regression. We use the introduction of the NDYP program for young unemployed individuals in the UK to estimate average program participation effects on the exit rate to work as well as anticipation effects
Original languageEnglish
Pages (from-to)871-916
Number of pages46
JournalQuantitative Economics
Volume11
Issue number3
Early online date6 Feb 2020
DOIs
Publication statusPublished - 17 Jul 2020

Keywords

  • policy evaluation
  • hazard rate
  • identification
  • causality
  • regression discontinuity
  • selectivity
  • kernel hazard estimation
  • local linear regression
  • average treatment effect
  • job search assistance
  • youth unemployment

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