The Matching Method for Treatment Evaluation with Selective Participation and Ineligibles
AbstractThe matching method for treatment evaluation does 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 specific 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 first examine the performance of matching versus regression-discontinuity estimation in the sharp age-discontinuity design of the NDYP job search assistance program for young unemployed in the UK. Next, 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 ineffectiveness of subsidized work in moving individuals into employment.
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Bibliographic InfoPaper provided by Institute for the Study of Labor (IZA) in its series IZA Discussion Papers with number 3280.
Length: 36 pages
Date of creation: Jan 2008
Date of revision:
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Other versions of this item:
- Monica Costa Dias & Hidehiko Ichimura & Gerard van den Berg, 2010. "The matching method for treatment evaluation with selective participation and ineligibles," CeMMAP working papers CWP35/10, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Monica Costa Dias & Hidehiko Ichimura & Gerard J.van den Berg, 2007. "The matching method for treatment evaluation with selective participation and ineligibles," CeMMAP working papers CWP33/07, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Costa Dias, Monica & Ichimura, Hidehiko & van den Berg, Gerard J., 2008. "The matching method for treatment evaluation with selective participation and ineligibles," Working Paper Series 2008:6, IFAU - Institute for Evaluation of Labour Market and Education Policy.
- C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
- C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
- C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
- J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search
This paper has been announced in the following NEP Reports:
- NEP-ALL-2008-02-02 (All new papers)
- NEP-ECM-2008-02-02 (Econometrics)
- NEP-LAB-2008-02-02 (Labour Economics)
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- de Luna, Xavier & Johansson, Per, 2012.
"Testing for nonparametric identification of causal effects in the presence of a quasi-instrument,"
Working Paper Series
2012:14, IFAU - Institute for Evaluation of Labour Market and Education Policy.
- de Luna, Xavier & Johansson, Per, 2012. "Testing for Nonparametric Identification of Causal Effects in the Presence of a Quasi-Instrument," IZA Discussion Papers 6692, Institute for the Study of Labor (IZA).
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