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Proof beyond a reasonable doubt: Laboratory evidence

Author

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  • Baumann, Florian
  • Friehe, Tim

Abstract

We investigate how third-party punishers and potential violators decide under evidentiary uncertainty in a take game. In line with the legal requirement and in contrast to economic models, neither the sanction nor the harm level affects the punishment probability, but the quality of evidence does have an impact. Potential violators' decisions are strongly influenced by the expected punishment probability but not by the level of the sanction.

Suggested Citation

  • Baumann, Florian & Friehe, Tim, 2015. "Proof beyond a reasonable doubt: Laboratory evidence," DICE Discussion Papers 181, University of Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
  • Handle: RePEc:zbw:dicedp:181
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    File URL: https://www.econstor.eu/bitstream/10419/108512/1/820982865.pdf
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    References listed on IDEAS

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    1. Matteo Rizzolli & Luca Stanca, 2012. "Judicial Errors and Crime Deterrence: Theory and Experimental Evidence," Journal of Law and Economics, University of Chicago Press, vol. 55(2), pages 311-338.
    2. Urs Fischbacher, 2007. "z-Tree: Zurich toolbox for ready-made economic experiments," Experimental Economics, Springer;Economic Science Association, vol. 10(2), pages 171-178, June.
    3. James Andreoni, 1991. "Reasonable Doubt and the Optimal Magnitude of Fines: Should the Penalty Fit the Crime?," RAND Journal of Economics, The RAND Corporation, vol. 22(3), pages 385-395, Autumn.
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    Cited by:

    1. Bonnet, Céline & Schain, Jan Philip, 2017. "An empirical analysis of mergers: Efficiency gains and impact on consumer prices," DICE Discussion Papers 244, University of Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).

    More about this item

    Keywords

    experiment; standard of proof; third-party punishment;

    JEL classification:

    • K42 - Law and Economics - - Legal Procedure, the Legal System, and Illegal Behavior - - - Illegal Behavior and the Enforcement of Law
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior

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