Learning, Signaling, and Social Preferences in Public-Good Games
This study compares the empirical performance of a variety of learning models and theories of social preferences in the context of experimental games involving the provision of public goods. Parameters are estimated via maximum likelihood estimation. We also performed estimations to identify differe...
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Resilience Alliance
2006-12-01
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Online Access: | http://www.ecologyandsociety.org/vol11/iss2/art21/ |
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doaj-cf4ad307ff7345fd91ae9bfd9e0b1c542020-11-24T21:02:24ZengResilience AllianceEcology and Society1708-30872006-12-011122110.5751/ES-01752-1102211752Learning, Signaling, and Social Preferences in Public-Good GamesMarco A. Janssen0T. K. Ahn1Arizona State UniversityFlorida State University and Korea UniversityThis study compares the empirical performance of a variety of learning models and theories of social preferences in the context of experimental games involving the provision of public goods. Parameters are estimated via maximum likelihood estimation. We also performed estimations to identify different types of agents and distributions of parameters. The estimated models suggest that the players of such games take into account the learning of others and are belief learners. Despite these interesting findings, we conclude that a powerful method of model selection of agent-based models on dynamic social dilemma experiments is still lacking.http://www.ecologyandsociety.org/vol11/iss2/art21/laboratory experimentspublic goodsagent-based modellearningsocial preferences |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Marco A. Janssen T. K. Ahn |
spellingShingle |
Marco A. Janssen T. K. Ahn Learning, Signaling, and Social Preferences in Public-Good Games Ecology and Society laboratory experiments public goods agent-based model learning social preferences |
author_facet |
Marco A. Janssen T. K. Ahn |
author_sort |
Marco A. Janssen |
title |
Learning, Signaling, and Social Preferences in Public-Good Games |
title_short |
Learning, Signaling, and Social Preferences in Public-Good Games |
title_full |
Learning, Signaling, and Social Preferences in Public-Good Games |
title_fullStr |
Learning, Signaling, and Social Preferences in Public-Good Games |
title_full_unstemmed |
Learning, Signaling, and Social Preferences in Public-Good Games |
title_sort |
learning, signaling, and social preferences in public-good games |
publisher |
Resilience Alliance |
series |
Ecology and Society |
issn |
1708-3087 |
publishDate |
2006-12-01 |
description |
This study compares the empirical performance of a variety of learning models and theories of social preferences in the context of experimental games involving the provision of public goods. Parameters are estimated via maximum likelihood estimation. We also performed estimations to identify different types of agents and distributions of parameters. The estimated models suggest that the players of such games take into account the learning of others and are belief learners. Despite these interesting findings, we conclude that a powerful method of model selection of agent-based models on dynamic social dilemma experiments is still lacking. |
topic |
laboratory experiments public goods agent-based model learning social preferences |
url |
http://www.ecologyandsociety.org/vol11/iss2/art21/ |
work_keys_str_mv |
AT marcoajanssen learningsignalingandsocialpreferencesinpublicgoodgames AT tkahn learningsignalingandsocialpreferencesinpublicgoodgames |
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1716775537184079872 |