- 14.382 | Spring 2017 | Econometrics, Victor Chernozhukov and Ivan Fernandez-Val
- 14.387 | Fall 2014 | Applied Econometrics: Mostly Harmless Big Data, Victor Chernozhukov and Joshua Angrist
- 2024: Applied Causal Inference Powered by ML and AI Labs, Chernozhukov, Hansen, Kallus, Spindler, Syrgkanis
- 2023: Machine Learning & Causal Inference Tutorial, Susan Athey, Jann Spiess, and Stefan Wager
The Gary Chamberlain Online Seminar in Econometrics
AEA Continuing Education Webcasts
- 2020: Mastering Mostly Harmless Econometrics, Alberto Abadie, Joshua Angrist, and Christopher Walters
- 2021: Applied Econometrics, Patrick Kline and Christopher Walters
- 2018: Machine Learning and Econometrics, Susan Athey and Guido Imbens
NBER Methods Lectures
- 2024: Multi-Armed Bandit Experiments. Interference and Spillovers, Susan Athey and Guido Imbens
- 2023: Linear Panel Event Studies, Jesse Shapiro and Liyang Sun
- 2022: Empirical Bayes, Jiaying Gu and Christopher Walters
- 2021: Synthetic Controls & Regression Discontinuity Designs, Alberto Abadie, Matias Cattaneo, Rocio Titiunik
- 2015: Machine Learning for Economists, Susan Athey and Guido Imbens
- 2013: Econometric Methods for High-Dimensional Data, Chernozhukov, Gentzkow, Hansen, Shapiro, Taddy
- 2007: What’s New in Econometrics, Jeffrey Wooldridge and Guido Imbens