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Matching methods for treatment evaluation based on a conditional independence assumption do not balance selective unobserved differences between treated and non-treated. We derive a simple correction term if there is an instrument that shifts the treatment probability to zero in special cases. Policies with eligibility restrictions, where treatment is impossible if some variable exceeds a certain value, provide a natural application. In an empirical analysis, we exploit the age eligibility restriction in the Swedish Youth Practice subsidized work program for young unemployed, where compliance is imperfect among the young. Adjusting the matching estimator for selectivity changes the results towards making subsidized work detrimental in moving individuals into employment.
Figure: Hazard rates into YP by duration of enemployment spell and age at registration with employment office
Authors
Research Associate University of Arizona, University of Tokyo
Hidehiko is a Professor of Economics at the Eller College of Management, University of Arizona and a Research Associate at the IFS.
Deputy Research Director
Monica is a Deputy Research Director and Professor of Economics at the University of Bristol, with an interest in Labour, Family and Public Economics.
Gerard Van Den Berg
Journal article details
- DOI
- 10.1080/01621459.2013.795447
- Publisher
- Taylor & Francis
- Issue
- January 2013
Suggested citation
M, Costa Dias and H, Ichimura and G, Van Den Berg. (2013). 'Treatment Evaluation with Selective Participation and Ineligibles' (2013)
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