Optimal Contest Design: A General Approach
Joint with Shuo Liu (Guanghua School of Management, Peking University ) and Nick Netzer (University of Zurich).
Abstract: We consider the design of contests for n agents when the principal can choose both the prize profile and the contest success function. Our framework includes Tullock contests, Lazear-Rosen tournaments and all-pay contests as special cases, among others. We show that the optimal contest has an intermediate degree of competitiveness in the contest success function, and a minimally competitive prize profile with n−1 identical prizes. The optimum can be achieved with a nested Tullock contest. We extend the model to allow for imperfect performance measurement and for heterogeneous agents. We relate our results to a recent literature which has asked similar questions but has typically focused on the design of either the prize profile or the contest success function.
Schedule (Israel time):
11:30 - 11:45 - Gathering and free talk
11:45-12:45 - research presentation
תאריך עדכון אחרון : 03/02/2021