Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/49685 
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dc.contributor.authorBayer, Ralph-C.en
dc.contributor.authorRenner, Elkeen
dc.contributor.authorSausgruber, Ruperten
dc.date.accessioned2011-09-26T13:24:18Z-
dc.date.available2011-09-26T13:24:18Z-
dc.date.issued2009-
dc.identifier.urihttp://hdl.handle.net/10419/49685-
dc.description.abstractWe use a limited information environment to mimic the state of confusion in an experimental, repeated public goods game. The results show that reinforcement learning leads to dynamics similar to those observed in standard public goods games. However, closer inspection shows that individual decay of contributions in standard public goods games cannot be fully explained by reinforcement learning. According to our estimates, learning only accounts for 41 percent of the decay in contributions in standard public goods games. The contribution dynamics of subjects, who are identified as conditional cooperators, differ strongly from the learning dynamics, while a learning model estimated from the limited information treatment tracks behavior for subjects, who cannot be classified as conditional cooperators, reasonably well.en
dc.language.isoengen
dc.publisher|aThe University of Nottingham, Centre for Decision Research and Experimental Economics (CeDEx) |cNottinghamen
dc.relation.ispartofseries|aCeDEx Discussion Paper Series |x2009-18en
dc.subject.jelC90en
dc.subject.jelD83en
dc.subject.jelH41en
dc.subject.ddc330en
dc.subject.keywordpublic goods experimentsen
dc.subject.keywordlearningen
dc.subject.keywordlimited informationen
dc.subject.keywordconfusionen
dc.subject.keywordconditional cooperationen
dc.subject.stwÖffentliches Guten
dc.subject.stwInformationsverhaltenen
dc.subject.stwLernenen
dc.subject.stwSpieltheorieen
dc.titleConfusion and reinforcement learning in experimental public goods games-
dc.typeWorking Paperen
dc.identifier.ppn613131320en
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungenen

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