We consider a graphical approach to comparing multiple treatments that allows users to easily infer differences between any treatment effect and zero, and between any pair of treatment effects. This approach makes use of a flexible, resampling-based procedure that asymptotically controls the familywise error rate (the probability of making one or more spurious inferences). We demonstrate the usefulness of this approach with three empirical examples.

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Econometrics Journal
Department of Economics

Thompson, B.S. (Brennan S), & Webb, M. (2019). A simple, graphical approach to comparing multiple treatments. Econometrics Journal, 22(2), 188–205. doi:10.1093/ectj/utz006