What Works? A Meta Analysis of Recent Active Labor Market Program Evaluations
What Works? A Meta Analysis of Recent Active Labor Market Program Evaluations
复制标题
什么有效？
DOI：
10.2139/ssrn.2706536
复制
发表时间：
2015
期刊：
影响因子：
--
通讯作者：
A. Weber
中科院分区：
文献类型：
--
作者：
David Card;Jochen Kluve;A. Weber
我们对来自世界各地的200多个最近对活跃的劳动力市场计划进行的计量经济学评估的影响估计进行了荟萃分析。我们按项目类型和参与者群体对估计进行分类，并区分三种不同的项目后时间范围。对给定估计的效应量使用荟萃分析模型（用于模拟就业概率的研究）以及估计值的符号和意义（对于我们样本中的所有研究）我们得出以下结论：（1）短期内平均影响接近于零，但在项目完成后2-3年变得更加积极;（2）影响的时间分布因项目类型而异，强调人力资本积累的项目收益更大;（3）参与者群体之间存在系统异质性，女性和长期失业的参与者受到的影响更大;（4）积极的劳动力市场计划更有可能在经济衰退中产生积极影响。
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.