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The Matching Method for Treatment Evaluation with Selective Participation and Ineligibles

Author

Listed:
  • Costa Dias, Monica

    (Institute for Fiscal Studies, London)

  • Ichimura, Hidehiko

    (University of Tokyo)

  • van den Berg, Gerard J.

    (University of Groningen)

Abstract

The 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.

Suggested Citation

  • Costa Dias, Monica & Ichimura, Hidehiko & van den Berg, Gerard J., 2008. "The Matching Method for Treatment Evaluation with Selective Participation and Ineligibles," IZA Discussion Papers 3280, Institute of Labor Economics (IZA).
  • Handle: RePEc:iza:izadps:dp3280
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    Cited by:

    1. de Luna Xavier & Johansson Per, 2014. "Testing for the Unconfoundedness Assumption Using an Instrumental Assumption," Journal of Causal Inference, De Gruyter, vol. 2(2), pages 1-13, September.
    2. Gerard J. van den Berg & Antoine Bozio & Mónica Costa Dias, 2020. "Policy discontinuity and duration outcomes," Quantitative Economics, Econometric Society, vol. 11(3), pages 871-916, July.
    3. 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.
    4. Bruno Arpino & Arnstein Aassve, 2013. "Estimating the causal effect of fertility on economic wellbeing: data requirements, identifying assumptions and estimation methods," Empirical Economics, Springer, vol. 44(1), pages 355-385, February.
    5. Joseph, Olivier & Pailhé, Ariane & Recotillet, Isabelle & Solaz, Anne, 2013. "The economic impact of taking short parental leave: Evaluation of a French reform," Labour Economics, Elsevier, vol. 25(C), pages 63-75.

    More about this item

    Keywords

    policy evaluation; treatment effect; regression discontinuity; selection; job search assistance; propensity score; subsidized work; youth unemployment;
    All these keywords.

    JEL classification:

    • 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

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