Document Type
Discussion Paper
Publication Date
11-1-2013
CFDP Number
1927R2
CFDP Revision Date
2015-04-01
CFDP Pages
45
Abstract
We consider inference on optimal treatment assignments. Our methods allow for inference on the treatment assignment rule that would be optimal given knowledge of the population treatment effect in a general setting. The procedure uses multiple hypothesis testing methods to determine a subset of the population for which assignment to treatment can be determined to be optimal after conditioning on all available information, with a prespecified level of confidence. A Monte Carlo study confirms that the inference procedure has good small sample behavior. We apply the method to study Project STAR and the optimal assignment of small class based on school and teacher characteristics.
Recommended Citation
Armstrong, Timothy B. and Shen, Shu, "Inference on Optimal Treatment Assignments" (2013). Cowles Foundation Discussion Papers. 2322.
https://elischolar.library.yale.edu/cowles-discussion-paper-series/2322