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

2023 Conference Photos

Econometrics in the Era of Machine Learning

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