README.md

CausalitySlides

Slides for the Seattle University Causal Inference Class

This class follows my textbook The Effect: An Introduction to Research Design and Causality, for which the first half is currently available online, although additional chapters will be available soon.

It also makes use of my series of Videos on Causality, with the note that these videos cover causal concepts but not estimation - they don't even use regression. The class does use regression.

Lecture 1: Describing Data

Lecture 2: Describing Relationships

Lecture 3: Causality

Lecture 4: Identification (Agan and Starr paper)

Lecture 5: Causal Diagrams

Lecture 6: Back Doors

Lecture 7: Front Doors

Lecture 7b: Causal Concepts Review (Brief)

Lecture 8: Fixed Effects

Lecture 9: Difference-in-Differences

Lecture 10: Difference-in-Differences Estimation

Lecture 11: Kessler and Roth Paper Discussion (Kessler and Roth Paper)

Lecture 12: Regression Discontinuity

Lecture 13: Estimating Regression Discontinuity

Lecture 14: Zimmerman Paper Discussion (Zimmerman Paper)

Lecture 15: Instrumental Variables

Lecture 16: Instrumental Variables in Action

Lecture 17: Case Methods (event studies and synthetic control)

Lecture 18: Treatment Effects

Lecture 19: Methods for Heterogeneous Treatment Effects, and Midterm Review