Policy discontinuity and duration outcomes
Article dans une revue: 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.
Auteur(s)
Gerard Berg, Antoine Bozio, Mónica Costa Dias
Revue
- Quantitative Economics
Date de publication
- 2020
Mots-clés JEL
Mots-clés
- Causality
- Regression discontinuity
- Selectivity
- Kernel hazard estimation
- Local linear regression
- Average treatment effect
- Job search assistance
- Youth unemployment
- Policy evaluation
- Hazard rate
- Identification
Pages
- 871-916
URL de la notice HAL
Version
- 1
Volume
- 11