Welcome to my website!
My name is Xiaosheng Mu, and I am an assistant professor in the Economics Department 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.
Working Papers
Monotone Additive Statistics, with Luciano Pomatto, Philipp Strack and Omer Tamuz (May 2021)
Background Risk and Small-Stakes Risk Aversion, with Luciano Pomatto, Philipp Strack and Omer Tamuz (March 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
Optimal and Myopic Information Acquisition, with Annie Liang and Vasilis Syrgkanis (March 2019)
Amendment Voting with Incomplete Preferences (January 2019)
Keeping Your Story Straight: Truthtelling and Liespotting, with Johannes Hörner and Nicolas Vieille (April 2017)
Publications
Dynamically Aggregating Diverse Information (with Annie Liang and Vasilis Syrgkanis) Accepted at Econometrica.
Bayesian Privacy (with Ran Eilat and Kfir Eliaz) Accepted at Theoretical Economics.
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.
Differentially Private and Incentive Compatible Recommendation System for the Adoption of Network Goods (with Kevin He) EC ’14, Proceedings of the 15th ACM Conference on Economics and Computation, 2014.
Log-concavity of a Mixture of Beta Distributions. Statistics and Probability Letters, 99: 125-130, 2015.
Copyright 2017
