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.

Download [ CV ]

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

[slides] [talk]

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)

[slides] [talk]

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

[slides] [talk]

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

9. Data and Incentives

with Erik Madsen

extended abstract at EC'20

latest draft: August, 2021

[slides] [talk]