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A Network Approach to Public Goods

Bibliographic Data

ID10172012
AuthorsMatthew Elliott (0000-0002-7092-2161, University of Cambridge), Benjamin Golub (0009-0002-6743-8018, Harvard University Press)
Year2018
Volume127
Issue2
Pages730-776
Publication date2018-10-03
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueJournal of Political Economy (JOURNAL)
Journal identifiersISSN: 0022-3808 • E-ISSN: 1537-534X
PublisherUniversity of Chicago Press (PUBLISHER • US)
DOI10.1086/701032
OpenAlexW2895221252
LanguageEN
Citations received5
References cited35

Suppose that agents can exert costly effort that creates nonrival, heterogeneous benefits for each other. At each possible outcome, a weighted, directed network describing marginal externalities is defined. We show that Pareto efficient outcomes are those at which the largest eigenvalue of the network is 1. An important set of efficient solutions—Lindahl outcomes—are characterized by contributions being proportional to agents' eigenvector centralities in the network. The outcomes we focus on are motivated by negotiations. We apply the results to identify who is essential for Pareto improvements, how to efficiently subdivide negotiations, and whom to optimally add to a team

Economics · Eigenvalues and eigenvectors · Externality · Focus (optics · Mathematical economics · Mathematical optimization · Microeconomics · Negotiation · Outcome (game theory · Pareto optimal · Pareto principle · Public good · Set (abstract data type · Computer Science · Economic theories and models · Game Theory and Applications · Game Theory and Voting Systems · Mathematics

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Unique citing works5
Citations per year1,25
Citation span2022 - 2026 (5)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 5

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