Welcome to my website!
My name is Xiaosheng Mu, and I am an assistant 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.
Working Papers
Monotone Additive Statistics, with Luciano Pomatto, Philipp Strack and Omer Tamuz (August 2023) R&R at Econometrica
Algorithmic Design: Fairness and Accruacy, with Annie Liang and Jay Lu (July 2023) R&R at Journal of Political Economy
Privacy Preserving Auctions, with Ran Eilat and Kfir Eliaz (November 2023)
Stand Out from the Millions: Market Congestion and Information Friction on Global E-Commerce Platforms, with Jie Bai, Maggie Chen, Jin Liu and Daniel Yi Xu (April 2022)
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
Background Risk and Small-Stakes Risk Aversion, with Luciano Pomatto, Philipp Strack and Omer Tamuz Forthcoming at AER: Insights
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.
Copyright 2017