Annie Liang

I am an Assistant Professor of Economics at the University of Pennsylvania. (I am on leave at Harvard for Fall, 2020.)

My research is in economic theory (in particular, learning and information), and the application of machine learning methods for model building and evaluation.

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The Ronald O. Perelman Center (Office 501)

133 South 36th Street
Philadelphia, PA 19104

Publications

1. Complementary Information and Learning Traps, Quarterly Journal of Economics, Vol. 135 (1), Pages 389-448, February 2020 (with Xiaosheng Mu), presented at EC'18

[slides for a 1 hr talk, 04/2020]

2. Predicting and Understanding Initial Play, American Economic Review, Vol. 109 (12), Pages 4112-4141, December 2019 (with Drew Fudenberg), presented at EC'19 (invited plenary session)

[slides for a 30 min talk, 01/2020]

3. Inference of Preference Heterogeneity from Choice Data, Journal of Economic Theory, Vol. 179, Pages 275-311, January 2019 [code for paper]

Invited Surveys

4. Machine Learning for Evaluating and Improving Theories, SIGEcom Exchanges, Vol. 18 (1), Pages 4-11, 2020 (joint with Drew Fudenberg)

Working Papers

5. Dynamically Aggregating Diverse Information, with Xiaosheng Mu and Vasilis Syrgkanis (latest draft: April, 2020), Revise & Resubmit at Econometrica

[slides for a 45min talk, 08/2020]

6. How Flexible is that Functional Form? Quantifying the Restrictiveness of Theories, with Drew Fudenberg and Wayne Gao (latest draft: July, 2020)

[slides for a 45 min talk, 06/2020]

7. Data and Incentives, joint with Erik Madsen (latest draft: April, 2020), presented at EC'20

8. Measuring the Completeness of Theories, joint with Drew Fudenberg, Jon Kleinberg and Sendhil Mullainathan (latest draft: June, 2020), presented at EC'17

9. Games of Incomplete Information Played by Statisticians (latest draft: July, 2020)

10. Optimal and Myopic Information Acquisition, joint with Xiaosheng Mu and Vasilis Syrgkanis (latest draft: April, 2019), presented at EC'18