Econometrics in the Era of Machine Learning

Convened on March 3, 2023
New developments in machine learning, computer science, and high-dimensional methods are having an impact on econometrics. This one-day workshop will gather young econometricians whose work has been influenced by these developments. The workshop will additionally feature constructive discussions of the work by other researchers to facilitate interactions.
Location
David Rubenstein Forum at the University of Chicago
1201 E 60th St, Chicago, IL 60637
Registration
Registration is now closed.
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Conference Schedule
Time | Description | Presenter | Title |
8:00 – 8:30 a.m. | Breakfast | ||
8:30 – 9:15 a.m. | Session 1 | Andrei Zeleneev | Robust Estimation and Inference in Panels with Interactive Fixed Effects |
9:15 – 9:30 a.m. | Discussant | Eric Auerbach | |
9:30 – 9:50 a.m. | Break | ||
9:50 – 10:35 a.m. | Session 2 | Karun Adusimili | Risk and optimal policies in bandit experiments |
10:35 – 10:50 a.m. | Discussant | Toru Kitagawa | |
10:50 – 11:35 a.m. | Session 3 | Florian Gunsillius | Projections in positively curved spaces with applications to causal inference and economics |
11:35 – 11:50 a.m. | Discussant | Yuichi Kitamura | |
11:50 a.m. – 1:00 p.m. | Break/Lunch | ||
1:00 – 1:45 p.m. | Session 4 | Ashesh Rambachan | Counterfactual Risk Assessments under Unmeasured Confounding |
1:45 – 2:00 p.m. | Discussant | Matt Masten | |
2:00 – 2:45 p.m. | Session 5 | Lihua Lei | Distribution-Free Assessment of Population Overlap in Observational Studies |
2:45 – 3:00 p.m. | Discussant | Tim Armstrong | |
3:00 – 3:20 p.m. | Break | ||
3:20 – 4:05 p.m. | Session 6 | Yinchu Zhu | Semi-discrete optimal transportation with unknown costs |
4:05 – 4:20 p.m. | Discussant | Alfred Galichon | |
4:20 – 5:05 p.m. | Session 7 | Jann Spiess | Double Descent in Econometric Prediction and Imputation |
5:05 – 5:20 p.m. | Discussant | Tengyuan Liang |