An Adaptive Targeted Field Experiment: Job Search Assistance for Refugees in Jordan
A. Stefano Caria
No 2020-20, CSAE Working Paper Series from Centre for the Study of African Economies, University of Oxford
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.
New Economics Papers: this item is included in nep-ara, nep-exp and nep-mig
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed
Downloads: (external link)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:csa:wpaper:2020-20
Access Statistics for this paper
More papers in CSAE Working Paper Series from Centre for the Study of African Economies, University of Oxford Contact information at EDIRC.
Bibliographic data for series maintained by Julia Coffey ().