Matching Methods for Causal Inference and 21 Other Topics

Presentation Date: 

Tuesday, June 20, 2017


Summer Institute in Computational Social Science, Princeton University

Presentation Slides: 

This presentation discusses methods of matching for causal inference that are simpler, more powerful, and easier to understand. It shows that the most commonly used existing method, propensity score matching, should almost never be used. Easy-to-use software is available to implement all methods discussed. The presentation is followed by a class discussion about several of 21 possible research subjects. For more information, see