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

David Card, Jochen Kluve () and Andrea Weber

No 21431, NBER Working Papers from National Bureau of Economic Research, Inc

Abstract: We summarize the estimates from over 200 recent studies of active labor market programs. We classify the estimates by type of program and participant group, and distinguish between three different post-program time horizons. Using regression models for the estimated program effect (for studies that model the probability of employment) and for the sign and significance of the estimated effect (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 average 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.

JEL-codes: J08 J24 (search for similar items in EconPapers)
Date: 2015-07
New Economics Papers: this item is included in nep-lma
Note: LS
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Citations: View citations in EconPapers (152)

Published as David Card & Jochen Kluve & Andrea Weber, 2018. "What Works? A Meta Analysis of Recent Active Labor Market Program Evaluations," Journal of the European Economic Association, vol 16(3), pages 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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