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 are in information acquisition and mechanism design.
Working Papers
Background Risk and Small-Stakes Risk Aversion, with Luciano Pomatto, Philipp Strack and Omer Tamuz (March 2021)
Dynamically Aggregating Diverse Information, with Annie Liang and Vasilis Syrgkanis (February 2021) R&R at Econometrica
Monotone Additive Statistics, with Luciano Pomatto, Philipp Strack and Omer Tamuz (February 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
Amendment Voting with Incomplete Preferences (January 2019)
Optimal and Myopic Information Acquisition, with Annie Liang and Vasilis Syrgkanis (March 2019)
Keeping Your Story Straight: Truthtelling and Liespotting, with Johannes Hörner and Nicolas Vieille (April 2017)
Publications
Bayesian Privacy, with Ran Eilat and Kfir Eliaz Accepted at Theoretical Economics.
Informational Robustness in Intertemporal Pricing, with Jonathan Libgober Forthcoming at Review of Economic Studies.
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