IDEAS home Printed from https://ideas.repec.org/p/zbw/dicedp/181.html
   My bibliography  Save this paper

Proof beyond a reasonable doubt: Laboratory evidence

Author

Listed:
  • 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, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
    • Handle: RePEc:zbw:dicedp:181
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/108512/1/820982865.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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. Charles A. Holt & Susan K. Laury, 2002. "Risk Aversion and Incentive Effects," American Economic Review, American Economic Association, vol. 92(5), pages 1644-1655, December.
    3. 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.
    4. Nuno Garoupa (ed.), 2009. "Criminal Law and Economics," Books, Edward Elgar Publishing, number 12729, December.
    5. 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.
    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. Montag, Josef & Tremewan, James, 2020. "Let the punishment fit the criminal: An experimental study," Journal of Economic Behavior & Organization, Elsevier, vol. 175(C), pages 423-438.
    2. Céline Bonnet & Jan Philip Schain, 2020. "An Empirical Analysis Of Mergers: Efficiency Gains And Impact On Consumer Prices," Journal of Competition Law and Economics, Oxford University Press, vol. 16(1), pages 1-35.
    3. Feess, Eberhard & Schildberg-Hörisch, Hannah & Schramm, Markus & Wohlschlegel, Ansgar, 2018. "The impact of fine size and uncertainty on punishment and deterrence: Theory and evidence from the laboratory," Journal of Economic Behavior & Organization, Elsevier, vol. 149(C), pages 58-73.
    4. Lando, Henrik & Mungan, Murat C., 2018. "The effect of type-1 error on deterrence," International Review of Law and Economics, Elsevier, vol. 53(C), pages 1-8.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Feess, Eberhard & Schildberg-Hörisch, Hannah & Schramm, Markus & Wohlschlegel, Ansgar, 2018. "The impact of fine size and uncertainty on punishment and deterrence: Theory and evidence from the laboratory," Journal of Economic Behavior & Organization, Elsevier, vol. 149(C), pages 58-73.
    2. Sven Hoeppner & Laura Lyhs, 2016. "Behavior Under Vague Standards: Evidence from the Laboratory," Jena Economics Research Papers 2016-010, Friedrich-Schiller-University Jena.
    3. Astrid Gamba & Luca Stanca, 2023. "Mis-judging merit: the effects of adjudication errors in contests," Experimental Economics, Springer;Economic Science Association, vol. 26(3), pages 550-587, July.
    4. 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.
    5. 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.
    6. Friehe, Tim & Schildberg-Hörisch, Hannah, 2017. "Self-control and crime revisited: Disentangling the effect of self-control on risk taking and antisocial behavior," International Review of Law and Economics, Elsevier, vol. 49(C), pages 23-32.
    7. Markussen, Thomas & Putterman, Louis & Tyran, Jean-Robert, 2016. "Judicial error and cooperation," European Economic Review, Elsevier, vol. 89(C), pages 372-388.
    8. Subhasish M. Chowdhury & Frederick Wandschneider, 2013. "Anti-trust and the ‘Beckerian Proposition’: the Effects of Investigation and Fines on Cartels," Working Paper series, University of East Anglia, Centre for Competition Policy (CCP) 2013-09, Centre for Competition Policy, University of East Anglia, Norwich, UK..
    9. Feess, Eberhard & Schramm, Markus & Wohlschlegel, Ansgar, 2014. "The Impact of Fine Size and Uncertainty on Punishment and Deterrence: Evidence from the Laboratory," MPRA Paper 59463, University Library of Munich, Germany.
    10. Robert Gazzale & Julian Jamison & Alexander Karlan & Dean Karlan, 2013. "Ambiguous Solicitation: Ambiguous Prescription," Economic Inquiry, Western Economic Association International, vol. 51(1), pages 1002-1011, January.
    11. Wojciech Hardy & Michal Krawczyk & Joanna Tyrowicz, 2015. ""Thou shalt not leech" Are digital pirates conditional cooperators?," Working Papers 2015-26, Faculty of Economic Sciences, University of Warsaw.
    12. Galliera, Arianna, 2018. "Self-selecting random or cumulative pay? A bargaining experiment," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 72(C), pages 106-120.
    13. Kirchler, Michael & Lindner, Florian & Weitzel, Utz, 2020. "Delegated investment decisions and rankings," Journal of Banking & Finance, Elsevier, vol. 120(C).
    14. Sandra Ludwig & Julia Nafziger, 2011. "Beliefs about overconfidence," Theory and Decision, Springer, vol. 70(4), pages 475-500, April.
    15. Jason Aimone & Sheryl Ball & Brooks King-Casas, 2015. "The Betrayal Aversion Elicitation Task: An Individual Level Betrayal Aversion Measure," PLOS ONE, Public Library of Science, vol. 10(9), pages 1-12, September.
    16. Gabriele Camera & Cary Deck & David Porter, 2020. "Do economic inequalities affect long-run cooperation and prosperity?," Experimental Economics, Springer;Economic Science Association, vol. 23(1), pages 53-83, March.
    17. Prokudina, Elena & Renneboog, Luc & Tobler, Philippe, 2015. "Does Confidence Predict Out-of-Domain Effort?," Discussion Paper 2015-055, Tilburg University, Center for Economic Research.
    18. Dickinson, David L. & Masclet, David, 2019. "Using ethical dilemmas to predict antisocial choices with real payoff consequences: An experimental study," Journal of Economic Behavior & Organization, Elsevier, vol. 166(C), pages 195-215.
    19. Friedrich Heinemann & Martin Kocher, 2013. "Tax compliance under tax regime changes," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 20(2), pages 225-246, April.
    20. Amrei Lahno & Marta Serra-Garcia, 2015. "Peer effects in risk taking: Envy or conformity?," Journal of Risk and Uncertainty, Springer, vol. 50(1), pages 73-95, February.

    More about this item

    Keywords

    experiment; standard of proof; third-party punishment;
    All these keywords.

    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

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:zbw:dicedp:181. See general information about how to correct material in RePEc.

    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 bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/diduede.html .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.