竞赛
功能(生物学)
校长(计算机安全)
计算机科学
优化设计
数理经济学
经济
计算机安全
政治学
机器学习
法学
进化生物学
生物
作者
Igor Letina,Shuo Liu,Nick Netzer
标识
DOI:10.1016/j.jet.2023.105616
摘要
We consider the design of contests when the principal can choose both the prize profile and how the prizes are allocated as a function of a possibly noisy signal about the agents' efforts. We provide sufficient conditions that guarantee optimality of a contest. Optimal contests have a minimally competitive prize profile and an intermediate degree of competitiveness in the contest success function. Whenever observation is not too noisy, the optimum can be achieved by an all-pay contest with a cap. When observation is perfect, the optimum can also be achieved by a nested Tullock contest. 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.
科研通智能强力驱动
Strongly Powered by AbleSci AI