Causal Inference

This course teaches the canonical research designs in causal inference:

1. Introduction to Causal Inference based on DAGs
2. Instrumental Variables
3. Marginal Treatment Effects
4. Regression Discontinuity
5. Differences-in-Differences
6. Synthetic Controls

The course is mainly based on Causal Inference: The Mixtape by Scott Cunningham and Mostly Harmless Econometrics by Josh Angrist and Steve Pischke. It also teaches some advanced material like regression kink designs or difference-in-differences with staggered adoption.

You can see an example for a video here: