Principles of Causal Inference

Date: 

Wednesday, April 15, 2020, 12:00pm to 1:30pm

Location: 

Online via Zoom - meeting info to follow

REGISTER HERE

The seminar introduces principles of causal inference for randomized experiments and observational studies. We discuss the potential outcomes framework and, through its lens, give an overview of modern quasi-experimental methods, including regression and matching. We end with a brief literature review.
 
Audience: Harvard Faculty, Students, and Staff are all welcome. (Priority is given to HBS faculty, doctoral students, and RAs).
Prerequisites: Familiarity with fundamental statistical concepts, including probability, distribution, and linear regression is recommended. 
Software requirements: None

Link to slides (HBS affiliates): Principles of Causal Inference (04-15-2020)

Link to slides (Harvard affiliates): Principles of Causal Inference (04-15-2020)