IDEAS home Printed from https://ideas.repec.org/p/tiu/tiutis/8c1bd6ff-853f-4872-8e27-ba56447c480a.html
   My bibliography  Save this paper

Do cheaters in the lab also cheat in the field?

Author

Listed:
  • Potters, Jan

    (Tilburg University, School of Economics and Management)

  • Stoop, J.T.R.

    (Tilburg University, School of Economics and Management)

Abstract

In this paper, we study the correlation between cheating in the lab and cheating in the field. We conduct a laboratory experiment using a variant of the Mind game (Jiang, 2013). Payoffs above a certain threshold are indicative of cheating behavior. Subjects are paid their earnings by bank transfer. A fraction of the subjects is deliberately paid more than their earnings. We send subjects a reminder e-mail stating their earnings and asking them if they have received their payment. We find a significant correlation of 0.31 between cheating in the lab and in the field. Subjects with higher payoffs in the Mind game are also less likely to report the overpayment. Our results speak to the lab-field generalizability of cheating behavior.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Potters, Jan & Stoop, J.T.R., 2016. "Do cheaters in the lab also cheat in the field?," Other publications TiSEM 8c1bd6ff-853f-4872-8e27-b, Tilburg University, School of Economics and Management.
  • Handle: RePEc:tiu:tiutis:8c1bd6ff-853f-4872-8e27-ba56447c480a
    as

    Download full text from publisher

    File URL: https://pure.uvt.nl/ws/portalfiles/portal/76859916/1-s2.0-S0014292116300563-main.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. Lewis, Alan & Bardis, Alexander & Flint, Chloe & Mason, Claire & Smith, Natalya & Tickle, Charlotte & Zinser, Jennifer, 2012. "Drawing the line somewhere: An experimental study of moral compromise," Journal of Economic Psychology, Elsevier, vol. 33(4), pages 718-725.
    4. Matthias Benz & Stephan Meier, 2008. "Do people behave in experiments as in the field?—evidence from donations," Experimental Economics, Springer;Economic Science Association, vol. 11(3), pages 268-281, September.
    5. Omar Al-Ubaydli & John A. List, 2013. "On the Generalizability of Experimental Results in Economics: With A Response To Camerer," NBER Working Papers 19666, National Bureau of Economic Research, Inc.
    6. Houser, Daniel & Vetter, Stefan & Winter, Joachim, 2012. "Fairness and cheating," European Economic Review, Elsevier, vol. 56(8), pages 1645-1655.
    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. Jeffrey Carpenter & Erika Seki, 2011. "Do Social Preferences Increase Productivity? Field Experimental Evidence From Fishermen In Toyama Bay," Economic Inquiry, Western Economic Association International, vol. 49(2), pages 612-630, April.
    9. Jiang, Ting, 2013. "Cheating in mind games: The subtlety of rules matters," Journal of Economic Behavior & Organization, Elsevier, vol. 93(C), pages 328-336.
    10. Urs Fischbacher & Franziska Föllmi-Heusi, 2013. "Lies In Disguise—An Experimental Study On Cheating," Journal of the European Economic Association, European Economic Association, vol. 11(3), pages 525-547, June.
    11. Rosenbaum, Stephen Mark & Billinger, Stephan & Stieglitz, Nils, 2014. "Let’s be honest: A review of experimental evidence of honesty and truth-telling," Journal of Economic Psychology, Elsevier, vol. 45(C), pages 181-196.
    12. 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.
    13. 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.
    14. 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.
    15. repec:feb:framed:0089 is not listed on IDEAS
    16. Zingales, Luigi & Sapienza, Paola & Baran, Nicole M., 2010. "Can we infer social preferences from the lab? Evidence from the trust game," CEPR Discussion Papers 7634, C.E.P.R. Discussion Papers.
    17. Axel Franzen & Sonja Pointner, 2013. "The external validity of giving in the dictator game," Experimental Economics, Springer;Economic Science Association, vol. 16(2), pages 155-169, June.
    18. Christopher Chabris & David Laibson & Carrie Morris & Jonathon Schuldt & Dmitry Taubinsky, 2008. "Individual laboratory-measured discount rates predict field behavior," Journal of Risk and Uncertainty, Springer, vol. 37(2), pages 237-269, December.
    19. Conrads, Julian & Irlenbusch, Bernd & Rilke, Rainer Michael & Walkowitz, Gari, 2013. "Lying and team incentives," Journal of Economic Psychology, Elsevier, vol. 34(C), pages 1-7.
    20. Abeler, Johannes & Becker, Anke & Falk, Armin, 2014. "Representative evidence on lying costs," Journal of Public Economics, Elsevier, vol. 113(C), pages 96-104.
    21. Omar Al-Ubaydli & John A. List, 2013. "On the Generalizability of Experimental Results in Economics: With a Response to Commentors," CESifo Working Paper Series 4543, CESifo.
    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. 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.
    2. 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.
    3. 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.
    4. Ellen Garbarino & Robert Slonim & Marie Claire Villeval, 2016. "Loss Aversion and lying behavior: Theory, estimation and empirical evidence," Working Papers halshs-01404333, HAL.
    5. Marie Claire Villeval, 2019. "Comportements (non) éthiques et stratégies morales," Revue économique, Presses de Sciences-Po, vol. 70(6), pages 1021-1046.
    6. Alem, Yonas & Eggert, Håkan & Kocher, Martin G. & Ruhinduka, Remidius D., 2018. "Why (field) experiments on unethical behavior are important: Comparing stated and revealed behavior," Journal of Economic Behavior & Organization, Elsevier, vol. 156(C), pages 71-85.
    7. Christoph Engel, 2016. "Experimental Criminal Law. A Survey of Contributions from Law, Economics and Criminology," Discussion Paper Series of the Max Planck Institute for Research on Collective Goods 2016_07, Max Planck Institute for Research on Collective Goods.
    8. Rosenbaum, Stephen Mark & Billinger, Stephan & Stieglitz, Nils, 2014. "Let’s be honest: A review of experimental evidence of honesty and truth-telling," Journal of Economic Psychology, Elsevier, vol. 45(C), pages 181-196.
    9. 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.
    10. 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).
    11. Bernd Irlenbusch & Marie Claire Villeval, 2015. "Behavioral ethics: how psychology influenced economics and how economics might inform psychology?," Post-Print halshs-01159696, HAL.
    12. Ellen Garbarino & Robert Slonim & Marie Claire Villeval, 2019. "Loss aversion and lying behavior," Post-Print halshs-01981542, HAL.
    13. 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).
    14. Aksoy, Billur & Palma, Marco A., 2019. "The effects of scarcity on cheating and in-group favoritism," Journal of Economic Behavior & Organization, Elsevier, vol. 165(C), pages 100-117.
    15. Stephen V. Burks & Daniele Nosenzo & Jon Anderson & Matthew Bombyk & Derek Ganzhorn & Lorenz Goette & Aldo Rustichini, 2015. "Lab Measures of Other-Regarding Preferences Can Predict Some Related on-the-Job Behavior: Evidence from a Large Scale Field Experiment," Discussion Papers 2015-21, The Centre for Decision Research and Experimental Economics, School of Economics, University of Nottingham.
    16. Michailidou, Georgia & Rotondi, Valentina, 2019. "I'd lie for you," European Economic Review, Elsevier, vol. 118(C), pages 181-192.
    17. Galeotti, Fabio & Zizzo, Daniel John, 2018. "Identifying voter preferences: The trade-off between honesty and competence," European Economic Review, Elsevier, vol. 105(C), pages 27-50.
    18. 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.
    19. 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.
    20. Geraldes, Diogo & Heinicke, Franziska & Kim, Duk Gyoo, 2021. "Big and small lies," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 91(C).

    More about this item

    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement

    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:tiu:tiutis:8c1bd6ff-853f-4872-8e27-ba56447c480a. 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: Richard Broekman (email available below). General contact details of provider: https://www.tilburguniversity.edu/about/schools/economics-and-management/ .

    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.