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Discussion Paper Details

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

Author(s): Stefano Caria, Grant Gordon, Maximilian Kasy, Simon Quinn, Soha Shami and Alex Teytelboym

Publication Date: October 2020

Keyword(s):

Programme Area(s): Development Economics and Labour Economics

Abstract: 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.

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Bibliographic Reference

Caria, S, Gordon, G, Kasy, M, Quinn, S, Shami, S and Teytelboym, A. 2020. 'An Adaptive Targeted Field Experiment: Job Search Assistance for Refugees in Jordan'. London, Centre for Economic Policy Research. https://cepr.org/active/publications/discussion_papers/dp.php?dpno=15359