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Overcoming Free-Riding in Bandit Games

Johannes Hörner, Nicolas Klein and Sven Rady
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Johannes Hörner: Yale University [New Haven], TSE-R - Toulouse School of Economics - UT Capitole - Université Toulouse Capitole - UT - Université de Toulouse - EHESS - École des hautes études en sciences sociales - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement, CNRS - Centre National de la Recherche Scientifique

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Abstract: This paper considers a class of experimentation games with L´evy bandits encompassing those of Bolton and Harris (1999) and Keller, Rady and Cripps (2005). Its main result is that efficient (perfect Bayesian) equilibria exist whenever players' payoffs have a diffusion component. Hence, the trade-offs emphasized in the literature do not rely on the intrinsic nature of bandit models but on the commonly adopted solution concept (MPE). This is not an artifact of continuous time: we prove that such equilibria arise as limits of equilibria in the discretetime game. Furthermore, it suffices to relax the solution concept to strongly symmetric equilibrium.

Keywords: Two-Armed Bandit; Bayesian Learning; Strategic Experimentation; Strongly Symmetric Equilibrium. (search for similar items in EconPapers)
Date: 2021-04-01
New Economics Papers: this item is included in nep-gth and nep-mic
Note: View the original document on HAL open archive server: https://hal.science/hal-03187515v1
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Citations: View citations in EconPapers (1)

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Journal Article: Overcoming Free-Riding in Bandit Games (2022) Downloads
Working Paper: Overcoming Free-Riding in Bandit Games (2022)
Working Paper: Overcoming Free-Riding in Bandit Games (2021) Downloads
Working Paper: Overcoming Free-Riding in Bandit Games (2020) Downloads
Working Paper: Overcoming Free-Riding in Bandit Games (2019) Downloads
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