Advanced Econometrics

Description

In econometrics, one often gives a causal interpretation to estimated coefficients. Unfortunately, in most cases such causal interpretation is not warranted. In this course, we will focus on the difference between causality and correlation and study analytical approaches that aim for causal estimates. Techniques covered include randomized controlled trials / experiments, matching estimators, regression discontinuity design, difference-in-difference estimators, instrumental variable estimators, event studies, and synthetic control estimators. The course will cover both theory and applications using R.