Optimal Feedback in Contests

Working Paper: CEPR ID: DP16308

Authors: Jeffrey Ely; George Georgiadis; Sina Khorasani; Luis Rayo

Abstract: We derive an optimal dynamic contest for environments where the principal monitors effort through a coarse, binary performance measure and chooses prize-allocation and termination rules together with a real-time feedback policy. The optimal contest takes a stark cyclical form: contestants are kept fully apprised of their own successes, and at the end of each fixed-length cycle, if at least one agent has succeeded, the contest ends and the prize is shared equally among all successful agents regardless of when they succeeded; otherwise, the designer informs all contestants that nobody has yet succeeded and the contest resets.

Keywords: No keywords provided

JEL Codes: No JEL codes provided


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
cyclicalegalitarian contest structure (D72)maximizes the probability of awarding the prize (D44)
cyclicalegalitarian contest structure (D72)ensures zero rents for agents (L85)
cyclicalegalitarian contest structure (D72)transforms 100% of the prize into effort (D44)
cyclicalegalitarian contest structure (D72)maximizes total effort (L21)
cyclicalegalitarian contest structure (D72)expected number of successes (C29)
cyclicalegalitarian contest structure (D72)outperforms winner-takes-all contests (C72)

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