thumbnail image
      • ABOUT
      • CV
      • Working Papers
      • Publications
          • ABOUT
          • CV
          • Working Papers
          • Publications
          • ABOUT
          • CV
          • Working Papers
          • Publications
          • Powered By
            Strikingly
            • 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.

               

              Contact Me
            • CV

              Xiaosheng's CV

            • Working Papers

              Monotone Additive Statistics, with Luciano Pomatto, Philipp Strack and Omer Tamuz (July 2021) R&R at Econometrica

               

              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)

               

              Background Risk and Small-Stakes Risk Aversion, with Luciano Pomatto, Philipp Strack and Omer Tamuz (January 2022)

               

              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) 

            • Publications

              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

            Create a site with
            This website is built with Strikingly.
            Create yours today!

            This website is built with Strikingly.

            Create your FREE website today!

            Create a site with
            This website is built with Strikingly.
            Create yours today!

            This website is built with Strikingly.

            Create your FREE website today!

              Cookie Use
              We use cookies to ensure a smooth browsing experience. By continuing we assume you accept the use of cookies.
              Learn More