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

A Stefano Caria, Grant Gordon, Maximilian Kasy, Simon Quinn, Soha Osman Shami and Alexander Teytelboym

Journal of the European Economic Association, 2024, vol. 22, issue 2, 781-836

Abstract: 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.

Date: 2024
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Citations: View citations in EconPapers (4)

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Related works:
Working Paper: An Adaptive Targeted Field Experiment: Job Search Assistance for Refugees in Jordan (2021)
Working Paper: An Adaptive Targeted Field Experiment: Job Search Assistance for Refugees in Jordan (2020)
Working Paper: An Adaptive Targeted Field Experiment: Job Search Assistance for Refugees in Jordan (2020)
Working Paper: An Adaptive Targeted Field Experiment: Job Search Assistance for Refugees in Jordan (2020)
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Persistent link: https://EconPapers.repec.org/RePEc:oup:jeurec:v:22:y:2024:i:2:p:781-836.

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