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Sustaining Cooperation in Trust Games

Bibliographic Data

ID9709039
AuthorsMary L Rigdon (0000-0002-4516-9999, University of Michigan), Kevin A McCabe (George Mason University), Kevin McCabe (0000-0003-0544-157X, George Mason University), Vernon L Smith (0000-0001-7917-1870, George Mason University)
Year2007
Volume117
Issue522
Pages991-1007
Publication date2007-07-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueThe Economic Journal (JOURNAL)
Journal identifiersISSN: 0013-0133 • E-ISSN: 1468-0297
PublisherOxford University Press (OUP) (PUBLISHER)
DOI10.1111/j.1468-0297.2007.02075.x
OpenAlexW1531915106
LanguageEN
Citations received3
References cited11

It is well known in evolutionary game theory that population clustering in Prisoner's Dilemma games allows some cooperative strategies to invade populations of stable defecting strategies. We adapt this idea of population clustering to a two-person trust game. Without knowing it, players are typed based on their recent track record as to whether or not they are trusting (Players 1) and whether or not they are trustworthy (Players 2). They are then paired according to those types: trustors with trustworthy types, and similarly non-trustors with untrustworthy types. In the control comparisons, Players 1 are randomly repaired with Players 2 without regard to type. We ask: are there natural tendencies for people to cooperate more frequently in environments in which they experience more cooperation in comparison with controls? Copyright 2007 The Author(s). Journal compilation Royal Economic Society 2007

Cluster analysis · Control (management · Dilemma · Population · Sociology · Trustworthiness · Artificial Intelligence · Computer Science · Demography · Evolutionary Game Theory and Cooperation · Experimental Behavioral Economics Studies · Game Theory and Applications · Mathematics · Psychology · Social Psychology

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Unique citing works3
Citations per year0,17
Citation span2008 - 2019 (12)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 3

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