Journal article
An adaptive targeted field experiment: job search assistance for refugees in Jordan
- 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.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Files:
-
-
(Preview, Accepted manuscript, pdf, 1.4MB, Terms of use)
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- Publisher copy:
- 10.1093/jeea/jvad067
Authors
- Publisher:
- Oxford University Press
- Journal:
- Journal of the European Economic Association More from this journal
- Volume:
- 22
- Issue:
- 2
- Pages:
- 781–836
- Publication date:
- 2023-11-16
- Acceptance date:
- 2023-11-15
- DOI:
- EISSN:
-
1542-4774
- ISSN:
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1542-4766
- Language:
-
English
- Keywords:
- Pubs id:
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1339890
- Local pid:
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pubs:1339890
- Deposit date:
-
2023-05-05
- ARK identifier:
Terms of use
- Copyright holder:
- Caria et al
- Copyright date:
- 2023
- Rights statement:
- © The Author(s) 2023. Published by Oxford University Press on behalf of European Economic Association.
- Notes:
- This is the accepted manuscript version of the article. The final version is available online from Oxford University Press at https://dx.doi.org/10.1093/jeea/jvad067
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