Friend-Based Ranking

Francis Bloch () and Matthew Olckers
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Francis Bloch: PSE - Paris School of Economics - UP1 - Université Paris 1 Panthéon-Sorbonne - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - EHESS - École des hautes études en sciences sociales - ENPC - École nationale des ponts et chaussées - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement, PJSE - Paris Jourdan Sciences Economiques - UP1 - Université Paris 1 Panthéon-Sorbonne - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - EHESS - École des hautes études en sciences sociales - ENPC - École nationale des ponts et chaussées - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement

PSE-Ecole d'économie de Paris (Postprint) from HAL

Abstract: We analyze the design of a mechanism to extract a ranking of individuals according to a unidimensional characteristic, such as ability or need. Individuals, connected on a social network, only have local information about the ranking. We show that a planner can construct an ex post incentive compatible and efficient mechanism if and only if every pair of friends has a friend in common. We characterize the windmill network as the sparsest social network for which the planner can always construct a complete ranking.

Date: 2022-05
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Citations: View citations in EconPapers (2)

Published in American Economic Journal: Microeconomics, 2022, 14 (2), pp.176-214. ⟨10.1257/mic.20190333⟩

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Journal Article: Friend-Based Ranking (2022)
Working Paper: Friend-Based Ranking (2022)
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Persistent link: https://EconPapers.repec.org/RePEc:hal:pseptp:halshs-03936275

DOI: 10.1257/mic.20190333

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