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The efficiency of crackdowns: A lab-in-the-field experiment in public transportations

Author

Listed:
  • Zhixin Dai

    (GATE Lyon Saint-Étienne - Groupe d'Analyse et de Théorie Economique Lyon - Saint-Etienne - ENS de Lyon - École normale supérieure de Lyon - UL2 - Université Lumière - Lyon 2 - UCBL - Université Claude Bernard Lyon 1 - Université de Lyon - UJM - Université Jean Monnet - Saint-Étienne - CNRS - Centre National de la Recherche Scientifique)

  • Fabio Galeotti

    (GATE Lyon Saint-Étienne - Groupe d'Analyse et de Théorie Economique Lyon - Saint-Etienne - ENS de Lyon - École normale supérieure de Lyon - UL2 - Université Lumière - Lyon 2 - UCBL - Université Claude Bernard Lyon 1 - Université de Lyon - UJM - Université Jean Monnet - Saint-Étienne - CNRS - Centre National de la Recherche Scientifique)

  • Marie Claire Villeval

    (GATE Lyon Saint-Étienne - Groupe d'Analyse et de Théorie Economique Lyon - Saint-Etienne - ENS de Lyon - École normale supérieure de Lyon - UL2 - Université Lumière - Lyon 2 - UCBL - Université Claude Bernard Lyon 1 - Université de Lyon - UJM - Université Jean Monnet - Saint-Étienne - CNRS - Centre National de la Recherche Scientifique)

Abstract

The concentration of high-frequency controls in a limited period of time (“crackdowns”) constitutes an important feature of many law-enforcement policies around the world. In this paper, we offer a comprehensive investigation on the relative efficiency and effectiveness of various crackdown policies using a lab-in-the-field experiment with real passengers of a public transport service. We introduce a novel game, the daily public transportation game, where subjects have to decide, over many periods, whether to buy or not a ticket knowing that there might be a control. Our results show that (a) concentrated crackdowns are less effective and efficient than random controls; (b) prolonged crackdowns reduce fare-dodging during the period of intense monitoring but induce a burst of fraud as soon as they are withdrawn; (c) pre-announced controls induce more fraud in the periods without control. Overall, we also observe that real fare-dodgers fraud more in the experiment than non-fare-dodgers.
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Suggested Citation

  • Zhixin Dai & Fabio Galeotti & Marie Claire Villeval, 2015. "The efficiency of crackdowns: A lab-in-the-field experiment in public transportations," Post-Print halshs-01183369, HAL.
  • Handle: RePEc:hal:journl:halshs-01183369
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    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. Cardenas, Juan Camilo & Carpenter, Jeffrey, 2013. "Risk attitudes and economic well-being in Latin America," Journal of Development Economics, Elsevier, vol. 103(C), pages 52-61.
    3. Glenn W. Harrison & Morten I. Lau & E. Elisabet Rutström, 2007. "Estimating Risk Attitudes in Denmark: A Field Experiment," Scandinavian Journal of Economics, Wiley Blackwell, vol. 109(2), pages 341-368, June.
    4. Dai, Zhixin & Hogarth, Robin M. & Villeval, Marie Claire, 2015. "Ambiguity on audits and cooperation in a public goods game," European Economic Review, Elsevier, vol. 74(C), pages 146-162.
    5. Glenn W. Harrison & John A. List, 2004. "Field Experiments," Journal of Economic Literature, American Economic Association, vol. 42(4), pages 1009-1055, December.
    6. Slemrod, Joel & Blumenthal, Marsha & Christian, Charles, 2001. "Taxpayer response to an increased probability of audit: evidence from a controlled experiment in Minnesota," Journal of Public Economics, Elsevier, vol. 79(3), pages 455-483, March.
    7. Alm, James & McKee, Michael, 2006. "Audit Certainty, Audit Productivity, and Taxpayer Compliance," National Tax Journal, National Tax Association;National Tax Journal, vol. 59(4), pages 801-816, December.
    8. Sheheryar Banuri & Catherine Eckel, 2015. "Cracking down on bribery," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 45(3), pages 579-600, October.
    9. 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.
    10. Kastlunger, Barbara & Kirchler, Erich & Mittone, Luigi & Pitters, Julia, 2009. "Sequences of audits, tax compliance, and taxpaying strategies," Journal of Economic Psychology, Elsevier, vol. 30(3), pages 405-418, June.
    11. Bucciol, Alessandro & Landini, Fabio & Piovesan, Marco, 2013. "Unethical behavior in the field: Demographic characteristics and beliefs of the cheater," Journal of Economic Behavior & Organization, Elsevier, vol. 93(C), pages 248-257.
    12. Alm, James & Jackson, Betty R. & McKee, Michael, 2009. "Getting the word out: Enforcement information dissemination and compliance behavior," Journal of Public Economics, Elsevier, vol. 93(3-4), pages 392-402, April.
    13. Carlo Fiorio & Stefano Iacus & Alessandro Santoro, 2013. "Taxpaying response of small firms to an increased probability of audit: some evidence from Italy," Working Papers 251, University of Milano-Bicocca, Department of Economics, revised Jul 2013.
    14. Di Tella, Rafael & Schargrodsky, Ernesto, 2003. "The Role of Wages and Auditing during a Crackdown on Corruption in the City of Buenos Aires," Journal of Law and Economics, University of Chicago Press, vol. 46(1), pages 269-292, April.
    15. Dan Ariely & Nina Mazar, 2006. "Dishonesty in everyday life and its policy implications," Working Papers 06-3, Federal Reserve Bank of Boston.
    16. Eckel, Catherine C. & Grossman, Philip J., 2008. "Men, Women and Risk Aversion: Experimental Evidence," Handbook of Experimental Economics Results, in: Charles R. Plott & Vernon L. Smith (ed.), Handbook of Experimental Economics Results, edition 1, volume 1, chapter 113, pages 1061-1073, Elsevier.
    17. Rafael Di Tella & Ernesto Schargrodsky, 2004. "Do Police Reduce Crime? Estimates Using the Allocation of Police Forces After a Terrorist Attack," American Economic Review, American Economic Association, vol. 94(1), pages 115-133, March.
    18. Jan Eeckhout & Nicola Persico & Petra E. Todd, 2010. "A Theory of Optimal Random Crackdowns," American Economic Review, American Economic Association, vol. 100(3), pages 1104-1135, June.
    19. Frechette, Guillaume R. & Schotter, Andrew (ed.), 2015. "Handbook of Experimental Economic Methodology," OUP Catalogue, Oxford University Press, number 9780195328325.
    20. Henrik Jacobsen Kleven & Martin B. Knudsen & Claus Thustrup Kreiner & Søren Pedersen & Emmanuel Saez, 2011. "Unwilling or Unable to Cheat? Evidence From a Tax Audit Experiment in Denmark," Econometrica, Econometric Society, vol. 79(3), pages 651-692, May.
    21. Lando, Henrik & Shavell, Steven, 2004. "The advantage of focusing law enforcement effort," International Review of Law and Economics, Elsevier, vol. 24(2), pages 209-218, June.
    22. Catherine Eckel & Philip Grossman & Cathleen Johnson & Angela Oliveira & Christian Rojas & Rick Wilson, 2012. "School environment and risk preferences: Experimental evidence," Journal of Risk and Uncertainty, Springer, vol. 45(3), pages 265-292, December.
    23. Edward P. Lazear, 2006. "Speeding, Terrorism, and Teaching to the Test," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 121(3), pages 1029-1061.
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    Cited by:

    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. Luigi Mittone & Matteo Ploner & Eugenio Verrina, 2021. "When the state does not play dice: aggressive audit strategies foster tax compliance," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 57(3), pages 591-615, October.
    3. Fabio Galeotti & Valeria Maggian & Marie Claire Villeval, 2021. "Fraud Deterrence Institutions Reduce Intrinsic Honesty," The Economic Journal, Royal Economic Society, vol. 131(638), pages 2508-2528.
    4. Benedetto Barabino & Cristian Lai & Alessandro Olivo, 2020. "Fare evasion in public transport systems: a review of the literature," Public Transport, Springer, vol. 12(1), pages 27-88, March.

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    More about this item

    Keywords

    Crackdowns; fraud; monitoring; transportation; experiment;
    All these keywords.

    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • K42 - Law and Economics - - Legal Procedure, the Legal System, and Illegal Behavior - - - Illegal Behavior and the Enforcement of Law

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