Join us for the first meeting of the R Users Group, presented by Sanjog Misra, Charles H. Kellstadt Professor and Neubauer Family Fellow at the Booth School of Business.

Abstract: The notion of using heterogeneous treatment effects for policy design is of interest to various disciplines within the social sciences, including Business, Economics, Political Science and Public Policy. In this session I will use R to consider ML/DL approaches to computing heterogeneous treatment effects and evaluating policy counterfactuals. In particular, I will demonstrate the use of causal deepnets to estimate conditional average treatment effects, construct doubly robust versions of derived quantities of policy interest and provide an inference strategy for these. The paper that outlines the theory used for these is located here ( This talk will be on practical aspects of using R for these types of problems and will deliberately avoid the theoretical details contained in the paper.

Tuesday, April 9, 2019
2:00 – 3:00 pm

Social Sciences Research Center
McGiffert House Seminar Room 240
5751 South Woodlawn Avenue
Chicago, IL 60637