heterogeneous treatment effects

Friday, November 9, 2018 - 11:10am - 11:40am
Edward McFowland (University of Minnesota, Twin Cities)
In the recent literature on estimating heterogeneous treatment effects, each proposed method makes its own set of restrictive assumptions about the intervention’s effects and which subpopulations to explicitly estimate. Moreover, the majority of the literature provides no mechanism to identify which subpopulations are the most affected–beyond manual inspection–and provides little guarantee on the correctness of the identified subpopulations.
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