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.

Additional Metadata
Keywords bootstrap, Multiple hypothesis testing, treatment effects
Persistent URL dx.doi.org/10.1093/ectj/utz006
Journal Econometrics Journal
Citation
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