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The matching method for treatment evaluation with selective participation and ineligibles

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  • Monica Costa Dias

    (Institute for Fiscal Studies and Institute for Fiscal Studies)

  • Hidehiko Ichimura

    () (Institute for Fiscal Studies and University of Tokyo)

  • Gerard van den Berg

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. Within the same framework we also suggest a new test of the conditional independence assumption justifying matching. 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 of subsidized work detrimental in moving individuals into employment.

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Bibliographic Info

Paper provided by Centre for Microdata Methods and Practice, Institute for Fiscal Studies in its series CeMMAP working papers with number CWP35/10.

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Date of creation: Nov 2010
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Handle: RePEc:ifs:cemmap:35/10

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Cited by:
  1. 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.

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