Gensbittel, Fabien, Pizarro, Dana and Renault, Jerôme (2023) Competition and Recall in Selection Problems. Dynamic Games and Applications, vol.14 (n°4). 806 - 845.

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Identification Number : 10.1007/s13235-023-00539-2

Abstract

We extend the prophet inequality problem to a competitive setting. At every period, a new realization of a random variable with a known distribution arrives, which is publicly observed. Then two players simultaneously decide whether to pick an available value or to pass and wait until the next period (ties are broken uniformly at random). As soon as a player gets a value, he leaves the market and his payoff is the value of this realization. In the first variant, namely the “no recall” case, the agents can only bid at each period for the current value. In a second variant, the “full recall” case, the agents can also bid for any of the previous realizations which has not been already selected. For each variant, we study the subgame-perfect Nash equilibrium payoffs of the corresponding game. More specifically, we give a full characterization in the full recall case and show in particular that the expected payoffs of the players at any equilibrium are always equal, whereas in the no recall case the set of equilibrium payoffs typically has full dimension. Regarding the welfare at equilibrium, surprisingly the best equilibrium payoff a player can have may be strictly higher in the no recall case. However, the sum of equilibrium payoffs is weakly larger when the players have full recall. Finally, we show that in the case of 2 arrivals and arbitrary distributions, the prices of Anarchy and Stability in the no recall case are at most 4/3, and this bound is tight.

Item Type: Article
Language: English
Date: 2 November 2023
Refereed: Yes
Place of Publication: New York
Uncontrolled Keywords: Optimal stopping, Competing agents, Recall, Prophe, inequalities, Subgame-perfect equilibria, Game theory, Job search problem, House selling problem
Subjects: B- ECONOMIE ET FINANCE
Divisions: TSE-R (Toulouse)
Site: UT1
Date Deposited: 06 Sep 2024 07:41
Last Modified: 06 Sep 2024 07:51
OAI Identifier: oai:tse-fr.eu:129685
URI: https://publications.ut-capitole.fr/id/eprint/49661
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