Xiaosheng's Site

Welcome to my website!

My name is Xiaosheng Mu, and I am an associate professor in the Department of Economics at Princeton University. My research interests include information acquisition, mechanism design, stochastic orders and their applications to decision making.

Prior to joining Princeton, I was an assistant professor of economics at Columbia University and a post-doctoral researcher at the Cowles Foundation at Yale University. I obtained my Ph.D. in economics from Harvard University, where I was advised by Drew Fudenberg, Eric Maskin and Tomasz Strzalecki.

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CV
Xiaosheng's CV
Working Papers

Sequentially Optimal Pricing under Informational Robustness, with Zihao Li and Jonathan Libgober (June 2024)

Privacy Preserving Auctions, with Ran Eilat and Kfir Eliaz (February 2024)

Stand Out from the Millions: Information Friction and Market Congestionon Global E-Commerce Platforms, with Jie Bai, Maggie Chen, Jin Liu and Daniel Yi Xu (February 2024) R&R at Review of Economics and Statistics

Sequential Choice with Incomplete Preferences (July 2021) R&R at Social Choice and Welfare

Paying (for) Attention: The Impact of Information Processing Costs on Bayesian Inference, with Scott D. Kominers and Alex Peysakhovich (January 2019) R&R at Games and Economic Behavior

Keeping Your Story Straight: Truthtelling and Liespotting, with Johannes Hörner and Nicolas Vieille (April 2017)
Publications
Algorithmic Design: A Fairness-Accuracy Frontier, with Annie Liang, Jay Lu and Kyohei Okumura Accepted at Journal of Political Economy.

Monotone Additive Statistics, with Luciano Pomatto, Philipp Strack and Omer Tamuz Econometrica, 92 (4): 995-1031, 2024.

Background Risk and Small-Stakes Risk Aversion, with Luciano Pomatto, Philipp Strack and Omer Tamuz AER: Insights, 6 (2): 262-276, 2024.

Dynamically Aggregating Diverse Information (with Annie Liang and Vasilis Syrgkanis) Econometrica, 90 (1): 47-90, 2022.

Bayesian Privacy (with Ran Eilat and Kfir Eliaz) Theoretical Economics, 16 (4): 1557-1603, 2021.

Informational Robustness in Intertemporal Pricing (with Jonathan Libgober) Review of Economic Studies, 88 (3): 1224-1252, 2021.

From Blackwell Dominance in Large Samples to Rényi Divergences and Back Again (with Luciano Pomatto, Philipp Strack and Omer Tamuz) Econometrica, 89 (1): 475-506, 2021.

Complementary Information and Learning Traps (with Annie Liang) Quarterly Journal of Economics, 135 (1): 389-448, 2020.

Optimal and Myopic Information Acquisition (with Annie Liang and Vasilis Syrgkanis) EC ’18, Proceedings of the 2018 ACM Conference on Economics and Computation, 2018.

Log-concavity of a Mixture of Beta Distributions. Statistics and Probability Letters, 99: 125-130, 2015.

Differentially Private and Incentive Compatible Recommendation System for the Adoption of Network Goods (with Kevin He) EC ’14, Proceedings of the 2014 ACM Conference on Economics and Computation, 2014.