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dc.contributor.authorManea, Mihai
dc.date.accessioned2012-09-17T19:14:52Z
dc.date.available2012-09-17T19:14:52Z
dc.date.issued2011-08
dc.identifier.issn0002-8282
dc.identifier.issn1944-7981
dc.identifier.urihttp://hdl.handle.net/1721.1/73022
dc.description.abstractWe study an infinite horizon game in which pairs of players connected in a network are randomly matched to bargain. Players who reach agreement are replaced by new players at the same positions in the network. We show that all equilibria are payoff equivalent. The payoffs and the set of agreement links converge as players become patient. Several new concepts—mutually estranged sets, partners, and shortage ratios—provide insights into the relative strengths of the positions in the network. We develop a procedure to determine the limit equilibrium payoffs for all players. Characterizations of equitable and nondiscriminatory networks are also obtained.en_US
dc.language.isoen_US
dc.publisherAmerican Economic Associationen_US
dc.relation.isversionofhttp://dx.doi.org/10.1257/aer.101.5.2042en_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourceAmerican Economic Associationen_US
dc.titleBargaining in Stationary Networksen_US
dc.typeArticleen_US
dc.identifier.citationManea, Mihai. “Bargaining in Stationary Networks.” American Economic Review 101.5 (2011): 2042–2080. Web. © 2011 American Economic Association.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Economicsen_US
dc.contributor.approverManea, Mihai
dc.contributor.mitauthorManea, Mihai
dc.relation.journalAmerican Economic Reviewen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsManea, Mihaien
dc.identifier.orcidhttps://orcid.org/0000-0002-7436-2800
mit.licensePUBLISHER_POLICYen_US
mit.metadata.statusComplete


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