In this session, we will fully dive into Causal Inference: Potential outcomes framework, the fundamental problem of causal inference, causal estimands, and study design.
Angrist & Pischke. (2015). “Mastering Metrics”. Chapter 1: Randomized Trials. Pg. 1-11.
Marginal Revolution University. (2019). “Ceteris Paribus: Public vs. Private University”. Video materials from Mastering Metrics.
Complete before Sunday Sep 12th (11:59 pm) (if your section is on Tue) or Tuesday Sep 14th (11:59 pm) (if your section is on Thu). You can find the assignment here.
Here is the R code we will review in class, with some additional data and questions Download