Sequential Allpay Auctions with Noisy Outputs

Working Paper: CEPR ID: DP8509

Authors: Ella Segev; Aner Sela

Abstract: We study a sequential all-pay auction with two contestants who are privately informed about a parameter (ability) that affects their cost of effort. In the model, contestant 1 (the first mover) exerts an effort in the first period which translates into an observable output but with some noise, and contestant 2 (the second mover) observes this noisy output. Then, contestant 2 exerts an effort in the second period, and wins the contest if her output is larger than or equal to the observed noisy output of contestant 1; otherwise, contestant 1 wins. We study two variations of this model where contestant 1 either knows or does not know the realization of the noise before she chooses her effort. Contestant 2 does not know the realization of the noise in both variations. For both variations, we characterize the subgame perfect equilibrium and investigate the effect of a random noise on the expected highest effort in this contest.

Keywords: noisy outputs; sequential contests

JEL Codes: 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
Magnitude of random noise (C58)Contestant 1's effort (Y60)
Positive realization of noise (C58)Contestant 1's equilibrium effort (C72)
Negative realization of noise (D89)Contestant 1's equilibrium effort (C72)
Magnitude of random noise (C58)Contestant 1's decision-making process (D79)
Noise approaching zero (C58)Marginal effect on effort strategies (D29)

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