Reading:
- Bueno de Mesquita, E. and Fowler, A. (2021) Thinking Clearly with Data: A Guide to Quantitative Reasoning and Analysis, Princeton, NJ: Princeton University Press.
- Read pp. 193—242: (1) Chapter 9: Why Correlation Doesn’t Imply Causation, (2) Chapter 10: Controlling for Confounders, and (3) Chapter 11: Randomized Experiments
- Huntington-Klein, N. (2022) The Effect: An Introduction to Research Design and Causality, New York, NY: Chapman and Hall/CRC Press.
- Read pp. 87—128 & 144—159: (1) Chapter 6: Causal Diagrams, (2) Chapter 7: Drawing Causal Diagrams, (3) Chapter 8: Causal Paths and Closing Back Doors, (4) Chapter 10: Treatment Effects