Bayesian Impact Evaluation with Informative Priors: An Application to a Colombian Management and Export Improvement Program Leonardo Iacovone, David McKenzie and Rachael Meager Abstract 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. We evaluate a […]