IDEAS home Printed from https://ideas.repec.org/a/spr/reecde/v16y2012i2p93-118.html
   My bibliography  Save this article

Network architecture, cooperation and punishment in public good experiments

Author

Listed:
  • Jeffrey Carpenter

    ()

  • Shachar Kariv

    ()

  • Andrew Schotter

    ()

Abstract

Following Fehr and Gäechter (Am Econ Rev 90(4):980–994, 2000 ), a large and growing number of experiments show that public goods can be provided at high levels when mutual monitoring and costly punishment are allowed. Nearly all experiments, however, study monitoring and punishment in a complete network where all subjects can monitor and punish each other. The architecture of social networks becomes important when subjects can only monitor and punish the other subjects to whom they are connected by the network. We study several incomplete networks and find that they give rise to their own distinctive patterns of behavior. Nevertheless, a number of simple, yet fundamental, properties in graph theory allow us to interpret the variation in the patterns of behavior that arise in the laboratory and to explain the impact of network architecture on the efficiency and dynamics of the experimental outcomes. Copyright Springer-Verlag 2012

Suggested Citation

  • Jeffrey Carpenter & Shachar Kariv & Andrew Schotter, 2012. "Network architecture, cooperation and punishment in public good experiments," Review of Economic Design, Springer;Society for Economic Design, vol. 16(2), pages 93-118, September.
    • Handle: RePEc:spr:reecde:v:16:y:2012:i:2:p:93-118
    DOI: 10.1007/s10058-012-0120-z
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s10058-012-0120-z
    Download Restriction: Access to full text is restricted to subscribers.

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Carpenter, Jeffrey P., 2007. "Punishing free-riders: How group size affects mutual monitoring and the provision of public goods," Games and Economic Behavior, Elsevier, vol. 60(1), pages 31-51, July.
    2. Cinyabuguma, Matthias & Page, Talbot & Putterman, Louis, 2005. "Cooperation under the threat of expulsion in a public goods experiment," Journal of Public Economics, Elsevier, vol. 89(8), pages 1421-1435, August.
    3. David Masclet & Charles Noussair & Steven Tucker & Marie-Claire Villeval, 2003. "Monetary and Nonmonetary Punishment in the Voluntary Contributions Mechanism," American Economic Review, American Economic Association, vol. 93(1), pages 366-380, March.
    4. Jeffrey Carpenter & Peter Matthews, 2009. "What norms trigger punishment?," Experimental Economics, Springer;Economic Science Association, vol. 12(3), pages 272-288, September.
    5. Simon Gachter & Ernst Fehr, 2000. "Cooperation and Punishment in Public Goods Experiments," American Economic Review, American Economic Association, vol. 90(4), pages 980-994, September.
    6. Kosfeld Michael, 2004. "Economic Networks in the Laboratory: A Survey," Review of Network Economics, De Gruyter, vol. 3(1), pages 1-23, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. repec:eee:soceco:v:69:y:2017:i:c:p:108-116 is not listed on IDEAS
    2. 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.
    3. repec:eee:joepsy:v:61:y:2017:i:c:p:55-73 is not listed on IDEAS
    4. Offerman, Theo & Schram, Arthur & Van Leeuwen, Boris, 2014. "Competition for status creates superstars: An experiment on public good provision and network formation," IAST Working Papers 14-16, Institute for Advanced Study in Toulouse (IAST).
    5. Daniele Nosenzo & Theo Offerman & Martin Sefton & Ailko van der Veen, 2016. "Discretionary Sanctions and Rewards in the Repeated Inspection Game," Management Science, INFORMS, vol. 62(2), pages 502-517, February.
    6. repec:eee:jeborg:v:141:y:2017:i:c:p:254-276 is not listed on IDEAS
    7. 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.
    8. Daniela Grieco & Marco Faillo & Luca Zarri, 2013. "Top Contributors as Punishers," Working Papers 24/2013, University of Verona, Department of Economics.
    9. Gary Charness & Francesco Feri & Miguel A. Meléndez‐Jiménez & Matthias Sutter, 2014. "Experimental Games on Networks: Underpinnings of Behavior and Equilibrium Selection," Econometrica, Econometric Society, vol. 82, pages 1615-1670, September.
    10. Markussen, Thomas & Putterman, Louis & Tyran, Jean-Robert, 2016. "Judicial error and cooperation," European Economic Review, Elsevier, vol. 89(C), pages 372-388.
    11. 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.
    12. 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).
    13. 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.
    14. Thomas Markussen & Louis Putterman & Liangjun Wang, 2017. "Governing Collective Action in the Face of Observational Error," Working Papers 2017-2, Brown University, Department of Economics.
    15. Andrweas Leibbrandt & Abhijit Ramalingam & Lauri Sääksvuori & James M. Walker, 2012. "Broken Punishment Networks in Public Goods Games: Experimental Evidence," Jena Economic Research Papers 2012-004, Friedrich-Schiller-University Jena.
    16. 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.
    17. A Stefano Caria & Marcel Fafchamps, 2014. "Cooperation and Expectations in Networks: Evidence from a Network Public Good Experiment in Rural India," CSAE Working Paper Series 2014-33, Centre for the Study of African Economies, University of Oxford.
    18. Daniele Nosenzo & Martin Sefton, 2012. "Promoting Cooperation: the Distribution of Reward and Punishment Power," Discussion Papers 2012-08, The Centre for Decision Research and Experimental Economics, School of Economics, University of Nottingham.
    19. Stoddard, Brock & Walker, James M. & Williams, Arlington, 2014. "Allocating a voluntarily provided common-property resource: An experimental examination," Journal of Economic Behavior & Organization, Elsevier, vol. 101(C), pages 141-155.
    20. 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.

    More about this item

    Keywords

    Networks; Public goods; Monitoring; Costly punishment; Experiment; C91; C92; D62; D63; H41;

    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • C92 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Group Behavior
    • D62 - Microeconomics - - Welfare Economics - - - Externalities
    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement
    • H41 - Public Economics - - Publicly Provided Goods - - - Public Goods

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:reecde:v:16:y:2012:i:2:p:93-118. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Sonal Shukla) or (Rebekah McClure). General contact details of provider: http://www.springer.com .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.