IDEAS home Printed from https://ideas.repec.org/p/zur/econwp/205.html
   My bibliography  Save this paper

Laboratory measure of cheating predicts school misconduct

Author

Listed:
  • Alain Cohn
  • Michel André Maréchal

Abstract

Laboratory experiments provide insights into the drivers of cheating behaviour, but it is unclear to what extent cheating in the lab generalizes to the field. We conducted an experiment with middle and high school students to test whether a common laboratory measure of cheating predicts three types of school misconduct: (i) disruptiveness in class, (ii) homework non-completion, and (iii) absenteeism. We find that students who cheat in the experimental task are more likely to misbehave at school, suggesting that experimental measures of cheating generalize to rule violating behaviour in naturally occurring environments.

Suggested Citation

  • Alain Cohn & Michel André Maréchal, 2015. "Laboratory measure of cheating predicts school misconduct," ECON - Working Papers 205, Department of Economics - University of Zurich, revised Nov 2017.
    • Handle: RePEc:zur:econwp:205
    as

    Download full text from publisher

    File URL: https://www.zora.uzh.ch/id/eprint/113256/13/econwp205.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Armin Falk & James J. Heckman, 2009. "Lab Experiments are a Major Source of Knowledge in the Social Sciences," Working Papers 200935, Geary Institute, University College Dublin.
    2. Anke Becker & Thomas Deckers & Thomas Dohmen & Armin Falk & Fabian Kosse, 2012. "The Relationship Between Economic Preferences and Psychological Personality Measures," Annual Review of Economics, Annual Reviews, vol. 4(1), pages 453-478, July.
    3. repec:pri:rpdevs:gamespaper.pdf is not listed on IDEAS
    4. Carmit Segal, 2013. "Misbehavior, Education, And Labor Market Outcomes," Journal of the European Economic Association, European Economic Association, vol. 11(4), pages 743-779, August.
    5. A. Colin Cameron & Jonah B. Gelbach & Douglas L. Miller, 2008. "Bootstrap-Based Improvements for Inference with Clustered Errors," The Review of Economics and Statistics, MIT Press, vol. 90(3), pages 414-427, August.
    6. Alain Cohn & Michel André Maréchal & Thomas Noll, 2015. "Bad Boys: How Criminal Identity Salience Affects Rule Violation," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 82(4), pages 1289-1308.
    7. Bucciol, Alessandro & Piovesan, Marco, 2011. "Luck or cheating? A field experiment on honesty with children," Journal of Economic Psychology, Elsevier, vol. 32(1), pages 73-78, February.
    8. Dean S. Karlan, 2005. "Using Experimental Economics to Measure Social Capital and Predict Financial Decisions," American Economic Review, American Economic Association, vol. 95(5), pages 1688-1699, December.
    9. Steven D. Levitt & John A. List, 2007. "What Do Laboratory Experiments Measuring Social Preferences Reveal About the Real World?," Journal of Economic Perspectives, American Economic Association, vol. 21(2), pages 153-174, Spring.
    10. Montizaan, Raymond M. & Vendrik, Maarten C.M., 2014. "Misery Loves Company: Exogenous shocks in retirement expectations and social comparison effects on subjective well-being," Journal of Economic Behavior & Organization, Elsevier, vol. 97(C), pages 1-26.
    11. Fehr, Ernst & Leibbrandt, Andreas, 2011. "A field study on cooperativeness and impatience in the Tragedy of the Commons," Journal of Public Economics, Elsevier, vol. 95(9-10), pages 1144-1155, October.
    12. Uri Gneezy, 2005. "Deception: The Role of Consequences," American Economic Review, American Economic Association, vol. 95(1), pages 384-394, March.
    13. Abeler, Johannes & Becker, Anke & Falk, Armin, 2014. "Representative evidence on lying costs," Journal of Public Economics, Elsevier, vol. 113(C), pages 96-104.
    14. repec:pri:rpdevs:gamespaper is not listed on IDEAS
    Full references (including those not matched with items on IDEAS)

    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. Andrea Albertazzi, 2022. "Individual cheating in the lab: a new measure and external validity," Theory and Decision, Springer, vol. 93(1), pages 37-67, July.
    2. Zhixin Dai & Fabio Galeotti & Marie Claire Villeval, 2018. "Cheating in the Lab Predicts Fraud in the Field: An Experiment in Public Transportation," Management Science, INFORMS, vol. 64(3), pages 1081-1100, March.
    3. Drupp, Moritz A. & Khadjavi, Menusch & Quaas, Martin F., 2019. "Truth-telling and the regulator. Experimental evidence from commercial fishermen," European Economic Review, Elsevier, vol. 120(C).
    4. Drupp, Moritz A. & Khadjavi, Menusch & Quaas, Martin F., 2016. "Truth-telling and the regulator: Evidence from a field experiment with commercial fishermen," Kiel Working Papers 2063, Kiel Institute for the World Economy (IfW Kiel).
    5. Potters, Jan & Stoop, Jan, 2016. "Do cheaters in the lab also cheat in the field?," European Economic Review, Elsevier, vol. 87(C), pages 26-33.
    6. Marie Claire Villeval, 2019. "Comportements (non) éthiques et stratégies morales," Revue économique, Presses de Sciences-Po, vol. 70(6), pages 1021-1046.
    7. Garbarino, Ellen & Slonim, Robert & Villeval, Marie Claire, 2019. "Loss aversion and lying behavior," Journal of Economic Behavior & Organization, Elsevier, vol. 158(C), pages 379-393.
    8. Dugar, Subhasish & Bhattacharya, Haimanti, 2017. "Fishy behavior: A field experiment on (dis)honesty in the marketplace," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 67(C), pages 41-55.
    9. Alain Cohn & Tobias Gesche & Michel André Maréchal, 2022. "Honesty in the Digital Age," Management Science, INFORMS, vol. 68(2), pages 827-845, February.
    10. Matteo M. Galizzi & Daniel Navarro-Martinez, 2019. "On the External Validity of Social Preference Games: A Systematic Lab-Field Study," Management Science, INFORMS, vol. 65(3), pages 976-1002, March.
    11. Houser, Daniel & List, John A. & Piovesan, Marco & Samek, Anya & Winter, Joachim, 2016. "Dishonesty: From parents to children," European Economic Review, Elsevier, vol. 82(C), pages 242-254.
    12. Daniel Houser & John List & Marco Piovesan & Anya Samek & Joachim Winter, 2015. "On the Origins of Dishonesty: from Parents to Children," Artefactual Field Experiments 00449, The Field Experiments Website.
    13. Johannes Abeler & Daniele Nosenzo & Collin Raymond, 2019. "Preferences for Truth‐Telling," Econometrica, Econometric Society, vol. 87(4), pages 1115-1153, July.
    14. Ellen Garbarino & Robert Slonim & Marie Claire Villeval, 2016. "Loss Aversion and lying behavior: Theory, estimation and empirical evidence," Working Papers halshs-01404333, HAL.
    15. Eugen Dimant & Tobias Gesche, 2021. "Nudging Enforcers: How Norm Perceptions and Motives for Lying Shape Sanctions," CESifo Working Paper Series 9385, CESifo.
    16. Dohmen, Thomas, 2014. "Behavioral labor economics: Advances and future directions," Labour Economics, Elsevier, vol. 30(C), pages 71-85.
    17. Samuel Bowles & Sandra Polania-Reyes, 2012. "Economic Incentives and Social Preferences: Substitutes or Complements?," Journal of Economic Literature, American Economic Association, vol. 50(2), pages 368-425, June.
    18. Samuel Bowles & Sandra Polania-Reyes, 2011. "Economic incentives and social preferences: substitutes or complements?," Department of Economics University of Siena 617, Department of Economics, University of Siena.
    19. Djawadi, Behnud Mir & Fahr, René, 2015. "“…and they are really lying”: Clean evidence on the pervasiveness of cheating in professional contexts from a field experiment," Journal of Economic Psychology, Elsevier, vol. 48(C), pages 48-59.
    20. Ellen Garbarino & Robert Slonim & Marie Claire Villeval, 2019. "Loss aversion and lying behavior," Post-Print halshs-01981542, HAL.

    More about this item

    Keywords

    Cheating; honesty; experiment; external validity; misconduct;
    All these keywords.

    JEL classification:

    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
    • K42 - Law and Economics - - Legal Procedure, the Legal System, and Illegal Behavior - - - Illegal Behavior and the Enforcement of Law

    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:zur:econwp:205. 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: Severin Oswald (email available below). General contact details of provider: https://edirc.repec.org/data/seizhch.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.