WHAT WORKS? A META ANALYSIS OF RECENT ACTIVE LABOR MARKET PROGRAM EVALUATIONS

• 成果类型: Article
• 署名作者: Card, David; Kluve, Jochen; Weber, Andrea
• 署名单位: University of California System; University of California Berkeley; Leibniz Association; RWI - Leibniz Institut fur Wirtschaftsforschung; Humboldt University of Berlin; Central European University
• 刊物名称: JOURNAL OF THE EUROPEAN ECONOMIC ASSOCIATION
• ISSN/ISSBN: 1542-4766
• DOI: 10.1093/jeea/jvx028
• 发表日期: 2018
• 页码: 894-931
• 关键词: training-programs; selection bias; unemployment; IMPACT

摘要

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.