G2TT
来源类型Discussion paper
规范类型论文
来源IDDP14284
DP14284 Learning Management Through Matching: A Field Experiment Using Mechanism Design
Marcel Fafchamps; Girum Abebe; Michael Koelle; Simon Quinn
发表日期2020-01-06
出版年2020
语种英语
摘要We place young professionals into established firms to shadow middle managers. Using random assignment into program participation, we find positive average effects on wage employment, but no average effect on the likelihood of self-employment. We match individuals to firms using a deferred-acceptance algorithm, and show how this allows us to identify heterogeneous treatment effects by firm and intern characteristics. We find striking heterogeneity in self-employment effects, and show that some assignment mechanisms can substantially outperform random matching in generating employment and income effects. These results demonstrate the potential for matching algorithms to improve the design of field experiments.
主题Development Economics
关键词Field experiments Management practices Self-employment Causal inference Propensity score
URLhttps://cepr.org/publications/dp14284
来源智库Centre for Economic Policy Research (United Kingdom)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/543176
推荐引用方式
GB/T 7714
Marcel Fafchamps,Girum Abebe,Michael Koelle,et al. DP14284 Learning Management Through Matching: A Field Experiment Using Mechanism Design. 2020.
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