Annie Liang
Assistant Professor, Northwestern University
Department of Economics (primary) and Department of Computer Science
My research is in economic theory (in particular, learning and information), and the application of machine learning methods for model building and evaluation. Prior to joining Northwestern, I was an Assistant Professor of Economics at the University of Pennsylvania.
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Kellogg Global Hub, Office 3361
2211 Campus Drive
Evanston, Illinois 60208
Email: annie.liang at northwestern.edu
Publications
Refereed Articles
1. Measuring the Completeness of Economic Models
with Drew Fudenberg, Jon Kleinberg and Sendhil Mullainathan
forthcoming at Journal of Political Economy
extended abstract at EC'17
2. Dynamically Aggregating Diverse Information
with Xiaosheng Mu and Vasilis Syrgkanis
forthcoming at Econometrica
extended abstract at EC'21
3. Complementary Information and Learning Traps
with Xiaosheng Mu
Quarterly Journal of Economics, Vol. 135 (1), Pages 389-448, February 2020
extended abstract at EC'18
[slides] [talk] [online appendix]
4. Predicting and Understanding Initial Play
with Drew Fudenberg
American Economic Review, Vol. 109 (12), Pages 4112-4141, December 2019
plenary talk at EC'19 ("Highlights Beyond EC" session)
5. Inference of Preference Heterogeneity from Choice Data
Journal of Economic Theory, Vol. 179, Pages 275-311, January 2019
6. Optimal and Myopic Information Acquisition
with Xiaosheng Mu and Vasilis Syrgkanis
Proceedings of the 2018 ACM Conference on Economics and Computation, 2018
Invited Surveys
7. Machine Learning for Evaluating and Improving Theories
with Drew Fudenberg
SIGEcom Exchanges, Vol. 18 (1), Pages 4-11, 2020
Working Papers
8. How Flexible is that Functional Form? Quantifying the Restrictiveness of Theories
with Drew Fudenberg and Wayne Gao
extended abstract at EC'21, selected as the "Exemplary AI and Computation Track Paper"
latest draft: August, 2021
10. Games of Incomplete Information Played by Statisticians
latest draft: June, 2021