Annie Liang
Click here to download my research statement.
Refereed Articles
Data and Incentives, forthcoming at Theoretical Economics (with Erik Madsen), extended abstract at EC'20
Measuring the Completeness of Economic Models, Journal of Political Economy, Vol. 130 (4), Pages 956-990, April 2022 (with Drew Fudenberg, Jon Kleinberg and Sendhil Mullainathan), extended abstract at EC'17
Dynamically Aggregating Diverse Information, Econometrica, Vol. 90 (1), Pages 47-80, January 2022 (with Xiaosheng Mu and Vasilis Syrgkanis), extended abstract at EC'21
[+pdf] [+online appendix] [+slides] [+talk]
Complementary Information and Learning Traps, Quarterly Journal of Economics, Vol. 135 (1), Pages 389-448, February 2020 (with Xiaosheng Mu), extended abstract at EC'18
[+pdf] [+online appendix] [+slides] [+talk]
Predicting and Understanding Initial Play, American Economic Review, Vol. 109 (12), Pages 4112-4141, December 2019 (with Drew Fudenberg), plenary talk at EC'19 ("Highlights Beyond EC")
Inference of Preference Heterogeneity from Choice Data, Journal of Economic Theory, Vol. 179, Pages 275-311, January 2019
Optimal and Myopic Information Acquisition, Proceedings of the 2018 ACM Conference on Economics and Computation, 2018 (with Xiaosheng Mu and Vasilis Syrgkanis)
Invited Surveys
Machine Learning for Evaluating and Improving Theories, SIGEcom Exchanges, Vol. 18 (1), Pages 4-11, 2020 (with Drew Fudenberg)
Working Papers
The Transfer Performance of Economic Models (with Isaiah Andrews, Drew Fudenberg, and Chaofeng Wu), latest draft: July, 2022
Algorithm Design: A Fairness-Accuracy Frontier (with Jay Lu and Xiaosheng Mu), extended abstract at EC'22, latest draft: March, 2023
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
Games of Incomplete Information Played by Statisticians, latest draft: June, 2021