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Incomplete punishment networks in public goods games: experimental evidence

Author

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  • Andreas Leibbrandt
  • Abhijit Ramalingam
  • Lauri Sääksvuori
  • James Walker

Abstract

Abundant evidence suggests that high levels of contributions to public goods can be sustained through self-governed monitoring and sanctioning. This experimental study investigates the effectiveness of decentralized sanctioning institutions in alternative punishment networks. Our results show that the structure of punishment network significantly affects allocations to the public good. In addition, we observe that network configurations are more important than punishment capacities for the levels of public good provision, imposed sanctions and economic efficiency. Lastly, we show that targeted revenge is a major driver of anti-social punishment. Copyright The Author(s) 2015

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  • Andreas Leibbrandt & Abhijit Ramalingam & Lauri Sääksvuori & James Walker, 2015. "Incomplete punishment networks in public goods games: experimental evidence," Experimental Economics, Springer;Economic Science Association, vol. 18(1), pages 15-37, March.
    • Handle: RePEc:kap:expeco:v:18:y:2015:i:1:p:15-37
    DOI: 10.1007/s10683-014-9402-3
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    3. Boris Leeuwen & Abhijit Ramalingam & David Rojo Arjona & Arthur Schram, 2019. "Centrality and cooperation in networks," Experimental Economics, Springer;Economic Science Association, vol. 22(1), pages 178-196, March.
    4. Liu, Penghui & Liu, Jing, 2017. "Contribution diversity and incremental learning promote cooperation in public goods games," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 486(C), pages 827-838.
    5. Peng, Hui-Chun & Fan, Yi-Hsuan, 2023. "Incomplete punishment networks, heterogeneity, and cooperation in public good experiments," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 107(C).
    6. Ramalingam, Abhijit & Rojo Arjona, David & Schram, Arthur & Van Leeuwen, Boris, 2015. "Authority and Centrality: Power and Cooperation in Social Dilemma Networks," IAST Working Papers 15-23, Institute for Advanced Study in Toulouse (IAST).
    7. DeAngelo, Gregory & Gee, Laura Katherine, 2018. "Peers or Police? Detection and Sanctions in the Provision of Public Goods," IZA Discussion Papers 11540, Institute of Labor Economics (IZA).
    8. Brown, Christopher L., 2024. "Team production in endogenous networks," Journal of Economic Behavior & Organization, Elsevier, vol. 217(C), pages 560-580.
    9. Serdarevic, Nina & Strømland, Eirik & Tjøtta, Sigve, 2021. "It pays to be nice: The benefits of cooperating in markets," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 90(C).
    10. Ganga Shreedhar, Alessandro Tavoni, Carmen Marchiori, 2018. "Monitoring and punishment networks in a common-pool resource dilemma: experimental evidence," GRI Working Papers 292, Grantham Research Institute on Climate Change and the Environment.
    11. Ramalingam, Abhijit & Godoy, Sara & Morales, Antonio J. & Walker, James M., 2016. "An individualistic approach to institution formation in public good games," Journal of Economic Behavior & Organization, Elsevier, vol. 129(C), pages 18-36.
    12. He, Simin & Zou, Xinlu, 2024. "Public goods provision in a network formation game," Journal of Economic Behavior & Organization, Elsevier, vol. 218(C), pages 104-131.
    13. Boosey, Luke A., 2017. "Conditional cooperation in network public goods experiments," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 69(C), pages 108-116.
    14. Mantilla, César, 2015. "Communication networks in common-pool resource games: Field experimental evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 118(C), pages 215-226.
    15. Enrique Fatas & Miguel Meléndez-Jiménez & Antonio Morales & Hector Solaz, 2015. "Public goods and decay in networks," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 6(1), pages 73-90, March.
    16. Boosey, Luke & Mark Isaac, R., 2016. "Asymmetric network monitoring and punishment in public goods experiments," Journal of Economic Behavior & Organization, Elsevier, vol. 132(PA), pages 26-41.
    17. Luke Boosey & R. Mark Isaac, 2014. "Network Monitoring and Punishment in Public Goods Experiments," Working Papers wp2014_12_01, Department of Economics, Florida State University.
    18. Ananish Chaudhuri, 2018. "Belief Heterogeneity and the Restart Effect in a Public Goods Game," Games, MDPI, vol. 9(4), pages 1-20, November.
    19. Georg Kanitsar, 2021. "Self-Governance in Generalized Exchange. A Laboratory Experiment on the Structural Embeddedness of Peer Punishment," Games, MDPI, vol. 12(2), pages 1-16, June.

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    More about this item

    Keywords

    Public goods experiment; Punishment; Cooperation; Networks; C72; C91; C92; D72; D74;
    All these keywords.

    JEL classification:

    • C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games
    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • C92 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Group Behavior
    • D72 - Microeconomics - - Analysis of Collective Decision-Making - - - Political Processes: Rent-seeking, Lobbying, Elections, Legislatures, and Voting Behavior
    • D74 - Microeconomics - - Analysis of Collective Decision-Making - - - Conflict; Conflict Resolution; Alliances; Revolutions

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