This is a second (and applied) part of a series of workshops on principles of causal inference (attendance of the first part is not required). During this workshop we will go into details of the matching method, one of the most popular quasi-experimental methods in causal inference. We will then practice implementing it in R.
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. Basic knowledge of R is required.
Software requirements: Please have R and RStudio installed and bring a laptop if you would like to follow the hands-on part.
Link to slides: Matching Methods for Causal Inference
Link to R workshop: Causal Inference via Matching in R