Nonparametric Instrumental Variable Methods for Dynamic Treatment Evaluation

Gerard van den Berg, Petyo Bonev and Enno Mammen (mammen@math.uni-heidelberg.de)
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Enno Mammen: Heidelberg University

No 9782, IZA Discussion Papers from Institute of Labor Economics (IZA)

Abstract: We develop a nonparametric instrumental variable approach for the estimation of average treatment effects on hazard rates and conditional survival probabilities, without model structure. We derive constructive identification proofs for average treatment effects under noncompliance and dynamic selection, exploiting instrumental variation taking place during ongoing spells. We derive asymptotic distributions of the corresponding estimators. This includes a detailed examination of noncompliance in a dynamic context. In an empirical application, we evaluate the French labor market policy reform PARE which abolished the dependence of unemployment insurance benefits on the elapsed unemployment duration and simultaneously introduced additional active labor market policy measures. The estimated effect of the reform on the survival function of the duration of unemployment duration is positive and significant. Neglecting selectivity leads to an underestimation of the effects in absolute terms.

Keywords: labor market policy reform; unemployment; regression discontinuity design; noncompliance; survival function; treatment effects; duration variable; hazard rate; active labor market policy; unemployment benefits (search for similar items in EconPapers)
JEL-codes: C14 C41 J64 J65 (search for similar items in EconPapers)
Pages: 49 pages
Date: 2016-02
New Economics Papers: this item is included in nep-ecm
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Citations: View citations in EconPapers (4)

Published - published in: Review of Economics and Statistics, 2020, 102 (2), 355–367.

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Working Paper: Nonparametric instrumental variable methods for dynamic treatment evaluation (2016)
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