Kenju Kamei
Teams Do Inflict Costly Third-Party Punishment as Individuals Do: Experimental Evidence
Kamei, Kenju
Authors
Abstract
Initiated by the seminal work of Fehr and Fischbacher (Evolution and Human Behavior (2004)), a large body of research has shown that people often take punitive actions towards norm violators even when they are not directly involved in transactions. This paper shows in an experimental setting that this behavioral finding extends to a situation where a pair of individuals jointly decides how strong a third-party punishment to impose. It also shows that this punishment behavior is robust to the size of social distance within pairs. These results lend useful insight since decisions in our everyday lives and also in courts are often made by teams.
Citation
Kamei, K. (2021). Teams Do Inflict Costly Third-Party Punishment as Individuals Do: Experimental Evidence. Games, 12(1), Article 22. https://doi.org/10.3390/g12010022
Journal Article Type | Article |
---|---|
Acceptance Date | Feb 26, 2021 |
Online Publication Date | Mar 3, 2021 |
Publication Date | 2021 |
Deposit Date | Nov 10, 2021 |
Publicly Available Date | Nov 10, 2021 |
Journal | Games |
Publisher | MDPI |
Peer Reviewed | Peer Reviewed |
Volume | 12 |
Issue | 1 |
Article Number | 22 |
DOI | https://doi.org/10.3390/g12010022 |
Public URL | https://durham-repository.worktribe.com/output/1222396 |
Files
Published Journal Article
(1.1 Mb)
PDF
Publisher Licence URL
http://creativecommons.org/licenses/by/4.0/
Copyright Statement
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
You might also like
The Role of Visibility on Third Party Punishment Actions for the Enforcement of Social Norms
(2018)
Journal Article
Power of Joint Decision-Making in a Finitely-Repeated Dilemma
(2018)
Journal Article
Downloadable Citations
About Durham Research Online (DRO)
Administrator e-mail: dro.admin@durham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search