G2TT
来源类型Discussion paper
规范类型论文
来源IDDP15359
DP15359 An Adaptive Targeted Field Experiment: Job Search Assistance for Refugees in Jordan
Simon Quinn; Stefano Caria; Grant Gordon; Maximilian Kasy; Soha Shami; Alexander Teytelboym
发表日期2020-10-12
出版年2020
语种英语
摘要We introduce a novel adaptive targeted treatment assignment methodology for field experiments. Our Tempered Thompson Algorithm balances the goals of maximizing the precision of treatment effect estimates and maximizing the welfare of experimental participants. A hierarchical Bayesian model allows us to adaptively target treatments. We implement our methodology in Jordan, testing policies to help Syrian refugees and local jobseekers to find work. The immediate employment impacts of a small cash grant, information and psychological support are close to zero, but targeting raises employment by 1 percentage-point (20%). After four months, cash has a sizable effect on employment and earnings of Syrians.
主题Development Economics ; Labour Economics
URLhttps://cepr.org/publications/dp15359
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/544341
推荐引用方式
GB/T 7714
Simon Quinn,Stefano Caria,Grant Gordon,et al. DP15359 An Adaptive Targeted Field Experiment: Job Search Assistance for Refugees in Jordan. 2020.
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