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MGTECON 634 at Stanford (R scripts)
Machine Learning-Based Causal Inference
Topics
1. Introduction
2. Introduction to Machine Learning
3. ATE I: Binary treatment
4. HTE I: Binary treatment
5. Policy Evaluation I - Binary Treatment
6. Policy Learning I - Binary Treatment
7. LM Forest RDD
8. Matrix completion Methods for Causal Panel Data Models
9. Athey, S., Chetty, R., Imbens, G. W., & Kang, H. (2019). The surrogate index: Combining short-term proxies to estimate long-term treatment effects more rapidly and precisely (No. w26463). National Bureau of Economic Research.
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Index
