An Adaptive Targeted Field Experiment: Job Search Assistance for Refugees in Jordan

An Adaptive Targeted Field Experiment: Job Search Assistance for Refugees in Jordan
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适应性有针对性的实地实验:为约旦难民提供求职援助

DOI:
10.1093/jeea/jvad067
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发表时间:
2023
影响因子:
3.6
通讯作者:
Caria A
Caria A
中科院分区:
经济学1区
文献类型:
--
作者:
Caria A

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我们介绍了一种自适应靶向治疗分配方法的现场实验。我们的Tempered Thompson算法平衡了最大化治疗效果估计精度和最大化实验参与者福利的目标。分层贝叶斯模型允许我们自适应地靶向治疗。我们在约旦实施我们的方法,测试帮助叙利亚难民和当地求职者找到工作的政策。小额现金补助、信息和心理支持对就业的直接影响很小,但有针对性地提高就业率1个百分点(20%)。4个月后,现金对叙利亚人的就业和收入产生了相当大的影响。
We introduce an 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 small, but targeting raises employment by 1 percentage-point (20%). After 4 months, cash has a sizable effect on employment and earnings of Syrians.
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