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 and various stochastic orders.
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.
Search and Information Frictions on Global E-Commerce Platforms: Evidence from AliExpress, with Jie Bai, Maggie Chen, Jin Liu and Daniel Yi Xu (September 2021)
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
Sequential Choice with Incomplete Preferences (July 2021) R&R at Social Choice and Welfare
Keeping Your Story Straight: Truthtelling and Liespotting, with Johannes Hörner and Nicolas Vieille (April 2017)
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.
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.