We introduce a novel methodology for adaptive targeted 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...

We introduce a novel methodology for adaptive targeted 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...

Do matching frictions affect youth employment in developing countries? This paper studies a randomized controlled trial of job fairs in Addis Ababa, Ethiopia. The job fairs match firms with a representative sample of young, educated job-seekers. The meetings at the fairs create very few jobs:...

We conduct a randomized evaluation of two job-search support programs for urban youth in Ethiopia. One group of treated respondents receives a subsidy to cover the transport costs of job search. Another group participates in a job application workshop where their skills are certified and they...