 Winner-leave versus loser-leave in multi-stage nested Tullock contestsJingfeng Lu, Yuanzhu Lu (), Zhewei Wang and Lixue Zhou Games and Economic Behavior, 2022, vol. 132, issue C, 337-352 Abstract: This paper compares two procedures for allocating a sequence of fixed prizes in multi-stage nested Tullock contests. In a winner-leave (loser-leave) procedure, in each stage, the prizes of the stage are allocated to winners (losers) according to their ranks, and prizes in early stages are higher (lower) than those in later stages. Players who obtain prizes leave the contest and the others proceed to the next stage of competition. For both procedures, it is effort-maximizing to allocate one prize in each stage. Provided that the positive prizes in the sequence are homogeneous, the optimally designed loser-leave procedure generates higher total effort if and only if the number of positive prizes is lower than a threshold. If the positive prizes in the sequence are heterogeneous, then the loser-leave procedure may generate higher total effort, even if the number of positive prizes in the sequence is in the high range. Keywords: Effort maximization; Loser-leave; Winner-leave; Multi-stage; Tullock contests (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:gamebe:v:132:y:2022:i:c:p:337-352 DOI: 10.1016/j.geb.2022.01.004 Access Statistics for this article Games and Economic Behavior is currently edited by E. Kalai More articles in Games and Economic Behavior from Elsevier |
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