Ashwin Kambhampati
(ush-win come-bum-paw-tea)Ashwin Kambhampati
PhD, University of Pennsylvania, 2021
Assistant Professor of Economics, United States Naval Academy
Assistant Professor of Economics, United States Naval Academy
My research is in the area of microeconomic theory; I am particularly interested in applications of contract theory and matching theory to problems concerning the internal organization of firms. I am teaching Game Theory (SE450) and a Capstone Research Seminar (SE475) this Spring.
CV , Research Statement , Teaching Statement
Email: kambhamp [at] usna.edu
Working Papers
Working Papers
Abstract published in EC '21: Proceedings of the 22nd ACM Conference on Economics and Computation
Video from Not the 2021 Theory Job Market (NT2021TM).
Randomization is Optimal in the Robust Principal-Agent Problem (latest update: March 2022)
Randomization is Optimal in the Robust Principal-Agent Problem (latest update: March 2022)
Matching to Produce Information: A Model of Self-Organized Research Teams (latest update: August 2021), with Carlos Segura-Rodriguez and Peng Shao
Matching to Produce Information: A Model of Self-Organized Research Teams (latest update: August 2021), with Carlos Segura-Rodriguez and Peng Shao
Online Appendix. Slides from the 2018 Stony Brook International Conference on Game Theory.
A Theory of Firm Boundaries with Long-Run Incentives and At-Will Employment (latest update: January 2022), with Gorkem Bostanci
A Theory of Firm Boundaries with Long-Run Incentives and At-Will Employment (latest update: January 2022), with Gorkem Bostanci
Payoff Continuity in Games of Incomplete Information Across Models of Knowledge (latest update: March 2022)
Payoff Continuity in Games of Incomplete Information Across Models of Knowledge (latest update: March 2022)
Poster from the 2018 Pennsylvania Economic Theory Conference.
In Progress
In Progress
Coalitional Subgame Perfect Equilibrium, with Carlos Segura-Rodriguez and Naomi Utgoff
Search Committees with Disparate Costs, with Nageeb Ali and Aislinn Bohren