Leveraging Observational Outcomes To Improve the Generalization of Experimental Results

• In Event: Machine Learning Methods for Causal Inference

Brief Overview

This paper proposes a method of post-residualized weighting for generalizing experimental results to a target population

Authors

• Melody Huang, University of California-Berkeley

• Naoki Egami, Columbia University

• Erin Hartman, University of California-Berkeley

• Luke Miratrix, Harvard University