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Large Group Bargaining in a Characteristic Function Game

Bibliographic Data

ID6284279
AuthorsJ Keith Murnighan (University of Illinois Urbana-Champaign), Alvin E Roth (0000-0002-8834-6481, University of Illinois Urbana-Champaign)
Year1978
Volume22
Issue2
Pages299-317
Publication date1978-06-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueJournal of Conflict Resolution (JOURNAL)
Journal identifiersISSN: 0022-0027 • E-ISSN: 1552-8766
PublisherSAGE Publications Inc (PUBLISHER)
DOI10.1177/002200277802200206
OpenAlexW2155318308
LanguageEN
Citations received7
References cited15

This paper presents the results of an n-person characteristic function game played by between seven and and twelve players, one of whom was a monopolist. A factorial design allowed for analysis of the effects of group size, the availability of information, and communication opportunities for a series of seven trials. The data were compared to the game theoretic concepts of the core and Shapley value, (Shapley, 1953, Roth, 1977a), and to the predictions of the Weighted Probability model (Komorita, 1974). The findings indicated that the monopolist held a great deal of power, especially when communication among the players was not allowed. His payoffs increased over trials and approached the core in all of the conditions except when communicaion was available in seven and eight-person groups. The overall results were very close to the Shapley value and the predictions of the Weighted Probability model. The results were compared to an earlier study on a similar three-person game; increasing the group size seemed to be the primary case of the increase in the monopolist's payoffs

Bargaining power · Core (optical fiber · Econometrics · Economics · Function (biology · Game theory · Group (periodic table · Mathematical economics · Microeconomics · Shapley Value · Statistics · Telecommunications · Value (mathematics · Computer Science · Decision-Making and Behavioral Economics · Experimental Behavioral Economics Studies · Game Theory and Voting Systems · Mathematics

  • Models of coalition behavior

    J Keith Murnighan•Psychological Bulletin•1978

  • Wielding power in multiparty negotiations

    Open Access•Jonathan I Lee, Daisung Jang et al.•International Journal of Conflict…•2022

  • Effects of group size and communication availability on coalition bargaining in a veto game

    J Keith Murnighan, Alvin E Roth•Journal of Personality and Social…•1980

  • Coalition bargaining in four games that include a veto player

    J Keith Murnighan, Eugene Szwajkowski•Journal of Personality and Social…•1979

  • Toward Appropriate Peace Research

    Open Access•Juargen Dedrlng•Peace & Change•1981

  • A probabilistic theory of coalition formation in n ‐person sidepayment games

    H Andrew Michener, Wing Tung Au•Journal of Mathematical Sociology•1994

  • Mollifier Representation in Non-Constant-Sum Games

    Open Access•H Andrew Michener, Greg B Macheel et al.•Journal of Conflict Resolution•1986

  • The study of coalition behavior

    Sven Groennings•The study of coalition behavior•1970

  • A bargaining theory of coalition formation.

    S S Komorita, Jerome M Chertkoff•Psychological Review•1973

  • The Nucleolus of a Characteristic Function Game

    David Schmeidler•SIAM Journal on Applied Mathematics•1969

  • When three is not always two against one

    Open Access•Amnon Rapoport, James P Kahan•Journal of Experimental Social…•1976

  • A Research Note on the Predictive Adequacy of the Kernel

    Open Access•H Andrew Michener, Melvin M Sakurai•Journal of Conflict Resolution•1976

  • Bargaining Set Theory and Majority Rule

    Open Access•James J Buckley, T Edward Westen•Journal of Conflict Resolution•1976

Unique citing works7
Citations per year0,15
Citation span1978 - 2022 (45)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 6
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