Using Matching Estimators to Evaluate Alternative Youth Employment Programs: Evidence from France, 1986-1988

Fougère, Denis, Crépon, Bruno and Thomas Brodaty
Authors registered in the RePEc Author Service: Bruno Crépon and Denis Fougere

No 2604, CEPR Discussion Papers from C.E.P.R. Discussion Papers

Abstract: In this paper we apply the statistical framework recently proposed by Imbens (1999) and Lechner (1999) to identify the causal effects of multiple treatments under the conditional independence assumption. We show that under this assumption, matching with respect to the ratio of the scores allows to estimate nonparametrically the average conditional treatment effect for any pair of treatments. Consequently it is possible to estimate this effect by implementing nonparametric matching estimators, which were recently studied by Heckman, Ichimura, Smith and Todd (1998) and Heckman, Ichimura and Todd (1998). The application concerns the youth employment programs that were set up in France during the eighties to improve the labour market prospects of the most disadvantaged and unskilled young workers. The empirical analysis makes use of nonexperimental longitudinal micro data collected by INSEE (Institut National de la Statistique et des Etudes Economiques, Paris) from 1986 to 1988.

Keywords: Econometric evaluation methods; Matching estimators; Multiple treatments; Competing-risks duration models; Youth employment policies (search for similar items in EconPapers)
JEL-codes: J24 J68 (search for similar items in EconPapers)
Date: 2000-11
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (50)

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Working Paper: Using Matching Estimators to Evaluate Alternative Youth Employment Programs: Evidence from France, 1986-1988 (2000)
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