Advanced Econometrics

This course will introduce you to several methods used to analyze data over time and with multiple levels. We will primarily focus on how these methods can be used to identifying causal effects of interventions and how they help control for unobservable confounding factors.

The first part of the course will cover panel data methods including fixed-effects, random-effects, difference-in-differences, event study, synthetic control, and interrupted time-series. We will spend a lot of time on recent advancements in two-way fixed effects and difference-in-difference methods.

Next, we will discuss how to analyze data that has multiple levels, which is common in policy analysis (policies are usually not implemented for the individual but for the state, school, employer, etc.).

In the last section of the course, we will cover instrumental variables, matching methods, and regression discontinuity designs.