Matching Methods for Causal Inference and 21 Other Topics
Gary King. 2017.
"Matching Methods for Causal Inference and 21 Other Topics."
Abstract
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 GaryKing.org
See Also
- [Presentation] Matching Methods for Observational and Experimental Causal Inference (Facultad Latinoamericana de Ciencias Sociales) (2023)
- [Presentation] Simplifying Matching Methods for Causal Inference (University of Wisconsin at Madison) (2022)
- [Presentation] Simplifying Matching Methods for Causal Inference (Hebrew University of Jerusalem) (2020)
- [Paper] A Theory of Statistical Inference for Matching Methods in Causal Research (2019)
- [Presentation] Simplifying Matching Methods for Causal Inference (2019)
- [Presentation] Simplifying Matching Methods for Causal Inference (University of Minho) (2019)
- [Presentation] Matching Methods for Causal Inference (2018)
- [Paper] The Balance-Sample Size Frontier in Matching Methods for Causal Inference (2017)