scholarly journals Comparing Covariate Prioritization via Matching to Machine Learning Methods for Causal Inference using Five Empirical Applications*

2020 ◽  
pp. 1-25
Author(s):  
Luke Keele ◽  
Dylan S. Small
Keyword(s):  
Machine Learning ◽  
Causal Inference ◽  
Learning Methods ◽  
Machine Learning Methods

scholarly journals Causal inference in economics and marketing

2016 ◽  
Vol 113 (27) ◽  
pp. 7310-7315 ◽  
Author(s):  
Hal R. Varian
Keyword(s):  
Machine Learning ◽  
Causal Inference ◽  
Causal Analysis ◽  
Learning Methods ◽  
Critical Step ◽  
Machine Learning Methods

This is an elementary introduction to causal inference in economics written for readers familiar with machine learning methods. The critical step in any causal analysis is estimating the counterfactual—a prediction of what would have happened in the absence of the treatment. The powerful techniques used in machine learning may be useful for developing better estimates of the counterfactual, potentially improving causal inference.

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