2022/04/29 by Edith Elkind, Elkind, Edith, Abheek Ghosh +3
Decision Sciences · Social Sciences · #Auction Theory and Applications #Computer Science and Game Theory (cs.GT) #Decision-Making and Behavioral Economics #Experimental Behavioral Economics Studies #FOS: Computer and information sciences #FOS: Economics and business #Theoretical Economics (econ.TH)
paper · pdf · doi:10.48550/arxiv.2204.14051
openalex publication_date 2022/04/29 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
We study how to incentivize agents in a target group to produce a higher output in the context of incomplete information, by means of rank-order allocation contests. We describe a symmetric Bayes--Nash equilibrium for contests that have two types of rank-based prizes: prizes that are accessible only to the agents in the target group; prizes that are accessible to everyone. We also specialize this equilibrium characterization to two important sub-cases: (i) contests that do not discriminate while awarding the prizes, i.e., only have prizes that are accessible to everyone; (ii) contests that have prize quotas for the groups, and each group can compete only for prizes in their share. For these models, we also study the properties of the contest that maximizes the expected total output by the agents in the target group.