What Works? A Meta Analysis of Recent Active Labor Market Program Evaluations

David Card, Jochen Kluve () and Andrea Weber
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Jochen Kluve: KfW Development Bank

No 9236, IZA Discussion Papers from Institute of Labor Economics (IZA)

Abstract: We present a meta-analysis of impact estimates from over 200 recent econometric evaluations of active labor market programs from around the world. We classify estimates by program type and participant group, and distinguish between three different post-program time horizons. Using meta-analytic models for the effect size of a given estimate (for studies that model the probability of employment) and for the sign and significance of the estimate (for all the studies in our sample) we conclude that: (1) average impacts are close to zero in the short run, but become more positive 2-3 years after completion of the program; (2) the time profile of impacts varies by type of program, with larger gains for programs that emphasize human capital accumulation; (3) there is systematic heterogeneity across participant groups, with larger impacts for females and participants who enter from long term unemployment; (4) active labor market programs are more likely to show positive impacts in a recession.

Keywords: program evaluation; active labor market policy; meta-analysis (search for similar items in EconPapers)
JEL-codes: J00 J68 (search for similar items in EconPapers)
Pages: 54 pages
Date: 2015-07
New Economics Papers: this item is included in nep-lab
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Citations: View citations in EconPapers (146)

Published - revised version published in: Journal of the European Economic Association, 2018, 16 (3), 894 - 931

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Related works:
Journal Article: What Works? A Meta Analysis of Recent Active Labor Market Program Evaluations (2018)
Working Paper: What Works? A Meta Analysis of Recent Active Labor Market Program Evaluations (2015)
Working Paper: What works? A meta analysis of recent active labor market program evaluations (2015)
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