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Judicial error and cooperation

Author

Listed:
  • Markussen, Thomas
  • Putterman, Louis
  • Tyran, Jean-Robert
Abstract
Cooperation can be induced by an authority with the power to mete out sanctions for free riders, but law enforcement is prone to error. This paper experimentally analyzes preferences for and consequences of errors in formal sanctions against free riders in a public goods game. With type I errors, even full contributors to the public good may be punished. With type II errors, free riders may go unpunished. We find that judicial error undermines cooperation and that the effects of type I and II errors are symmetric. To investigate their relative (dis-)like for error, we let subjects choose what type of error to prevent. We find that subjects prefer type II over type I errors. However, the strength of preferences for preventing type I errors is fully in line with a motive to maximize income and does not indicate any additional psychological or fairness bias against type I errors.

Suggested Citation

  • Markussen, Thomas & Putterman, Louis & Tyran, Jean-Robert, 2016. "Judicial error and cooperation," European Economic Review, Elsevier, vol. 89(C), pages 372-388.
    • Handle: RePEc:eee:eecrev:v:89:y:2016:i:c:p:372-388
    DOI: 10.1016/j.euroecorev.2016.08.004
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    2. Chowdhury Mohammad Sakib Anwar & Alexander Matros & Sonali SenGupta, 2022. "Public Good Provision with a Distributor," Papers 2210.10642, arXiv.org.
    3. Matteo Rizzolli & James Tremewan, 2016. "Hard Labour in the lab: Are monetary and non-monetary sanctions really substitutable?," Vienna Economics Papers vie1606, University of Vienna, Department of Economics.
    4. Kusterer, David & Sliwka, Dirk, 2022. "Social Preferences and Rating Biases in Subjective Performance Evaluations," IZA Discussion Papers 15496, Institute of Labor Economics (IZA).
    5. 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.
    6. Abbink, Klaus & Ryvkin, Dmitry & Serra, Danila, 2020. "Corrupt police," Games and Economic Behavior, Elsevier, vol. 123(C), pages 101-119.
      • Klaus Abbink & Dmitry Ryvkin & Danila Serra, 2018. "Corrupt police," Working Papers wp2018_09_01, Department of Economics, Florida State University, revised Sep 2018.
    7. Matteo Rizzolli & James Tremewan, 2016. "Hard Labour in the lab: Are monetary and non-monetary sanctions really substitutable?," Vienna Economics Papers 1606, University of Vienna, Department of Economics.
    8. Gary E. Bolton & David J. Kusterer & Johannes Mans, 2019. "Inflated Reputations: Uncertainty, Leniency, and Moral Wiggle Room in Trader Feedback Systems," Management Science, INFORMS, vol. 65(11), pages 5371-5391, November.
    9. Thomas Markussen & Louis Putterman & Liangjun Wang, 2023. "Algorithmic Leviathan or Individual Choice: Choosing Sanctioning Regimes in the Face of Observational Error," Economica, London School of Economics and Political Science, vol. 90(357), pages 315-338, January.
    10. Gago, Andrés, 2021. "Reciprocity and uncertainty: When do people forgive?," Journal of Economic Psychology, Elsevier, vol. 84(C).
    11. Jensen, Thomas & Markussen, Thomas, 2021. "Group size, signaling and the effect of democracy," Journal of Economic Behavior & Organization, Elsevier, vol. 187(C), pages 258-273.
    12. Matteo Rizzolli, 2016. "Adjudication: Type-I and Type-II Errors," CERBE Working Papers wpC15, CERBE Center for Relationship Banking and Economics.

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    More about this item

    Keywords

    Public goods; Sanctions; Type I errors; Type II errors; Willingness to pay;
    All these keywords.

    JEL classification:

    • H41 - Public Economics - - Publicly Provided Goods - - - Public Goods
    • K4 - Law and Economics - - Legal Procedure, the Legal System, and Illegal Behavior
    • C92 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Group Behavior

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