Lecture 1: Causality and the Potential Outcomes Model
Lecture 2: Instrumental Variables and Regression Discontinuity
Lecture 3: Extremum Estimators
Lecture 4: Bayesian Inference
Lecture 5: Statistical Decision Theory
Lecture 6: Bayesian v Frequentist
Lecture 7: The Bootstrap
Lecture 8: Nonparametric Estimation