Free Courses in Economics
In this page, I collect lectures and materials for graduate courses in Economics and Social Sciences.
I will only link to lectures and materials that are freely available. I will not link to courses hosted on MOOC websites or that require university credentials to access.
A special mention goes to the following:
- The NBER that during each Summer Institute has a lecture series
- The Chamberlain Seminar that since 2021 started hosting and recording tutorial sessions
Video Lectures
| Course Title | Author | University | Year | Material |
|---|---|---|---|---|
| Machine Learning and Causal Inference | Susan Athey et al. | Stanford | 2022 | Yes |
| Causal Inference with Panel Data | Yiqing Xu | Washington U | 2021 | No |
| Industrial Organization | Chris Conlon | NYU | 2021 | Yes |
| Panel Data Econometrics | Chris Conlon | NYU | 2021 | Yes |
| Machine Learning with Graphs | Yure Leskovec | Stanford | 2021 | Yes |
| Applied Methods | Paul Goldsmith-Pinkham | Yale | 2021 | Yes |
| DiD Reading Group | misc | misc | 2021 | Yes |
| Computational Economics | Kenneth Judd | Stanford | 2020 | Yes |
| Reinforcement Learning | Emma Brunskill | Stanford | 2020 | Yes |
| Causal Inference | Brady Neal | Quebec AI Institute | 2020 | Yes |
| Natural Language Understanding | Christopher Potts | Stanford | 2019 | No |
Material
| Course Title | Author | University | Year |
|---|---|---|---|
| Computational Economics | Florial Oswald | Bocconi | 2021 |
| Data Science for Economists | Grant McDermott | Oregon | 2020 |
| Industrial Organization | John Asker | UCLA | 2020 |
| Topics in Empirical Industrial Organization | Kohei Kawaguchi | Hong Kong | 2020 |
| Industrial Organization | Victor Aguirregabiria | Toronto | 2019 |
| Econometrics | Tyler Ransom | Oklahoma | 2020 |
| Machine Learning in Econometrics | Martin Spindler | Munich | 2020 |
| Structural Econometrics | Robert Miller | Carnegie Mellon | 2019 |
I hold a PhD in economics from the University of Zurich. Now I work at the intersection of economics, data science and statistics. I regularly write about causal inference on Medium.