Resource Allocations in Multistage Contests

Working Paper: CEPR ID: DP16505

Authors: Aner Sela

Abstract: We study best-of-k contests (k=2,3) between two players. The players have heterogeneous resource budgets that decrease within the stages proportionally to the resource allocated in the previous stages such that for each resource unit that a player allocates, he loses α (the fatigue parameter) units of resources from his budget. We show that in both contest forms, independent of the values of the fatigue parameters, each player allocates his smallest resource in the last stage. In the best-of three contest where there are different fatigue parameters for each of the two first stages, a sufficient condition that the resource allocation in the first stage is larger than in the second one is that the value of the fatigue parameter of the first stage is smaller than or equal to the value of the fatigue parameter of the second stage. We also show that in the best-of-three contest, if the fatigue parameters are sufficiently large (approaches one), both players allocate almost all their resource budgets in the first two stages such that they have no resources left for the last stage in which the winner might be decided.

Keywords: best-of-three contests; best-of-two contests; resource budget

JEL Codes: D72; D82; D44


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
fatigue parameter of the first stage (L91)players allocate more resources in the first stage (D29)
fatigue parameter of the first stage (L91)players allocate more resources in the second stage (D29)
fatigue parameters approach one (C29)players allocate almost all resources in the first two stages (D29)
stage of the contest (D44)players allocate their smallest resources (D14)

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