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.

 

Xiaosheng's CV

Dynamically Aggregating Diverse Information (with Annie Liang and Vasilis Syrgkanis) Forthcoming at Econometrica.

Bayesian Privacy (with Ran Eilat and Kfir Eliaz) Forthcoming 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.

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.