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Bayesian Impact Evaluation with Informative Priors : An Application to a Colombian Management and Export Improvement Program (Английский)

Policymakers often test expensive new programs on relatively small samples. Formally incorporating informative Bayesian priors into impact evaluation offers the promise to learn more from these experiments. A Colombian government program which aimed to increase exporting was trialed experimentally on 200 firms with this goal in mind. Priors were elicited from academics, policymakers, and firms. Contrary to these priors, frequentist estimation can...
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