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Experimental test of the effects of punishment probability and size on the decision to take a bribe

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  • Bahník, Štěpán
  • Vranka, Marek A.

Abstract

Punishment is one of the main methods for preventing corruption. However, studies on the effect of size and probability of punishment on bribe-taking have not yielded conclusive results, possibly because studies often abstract from internal costs of wrongdoing. We introduce a punishment by a fine or termination of the task, both with varying probabilities, in a laboratory task modeling the decision to take a bribe. The punishment decreased the probability of taking higher bribes, even though the probability of taking lower bribes was unaffected. Participants took fewer bribes when the fine was larger and more probable. We did not observe any clear negative effects of small punishment crowding out intrinsic motivation to behave honestly. However, we found that the effects of punishment differ based on emotionality and honesty-humility of participants. The study shows that the prospect of punishment may deter dishonest behavior; however, personality characteristics should be taken into account when devising an effective deterrence policy.

Suggested Citation

  • Bahník, Štěpán & Vranka, Marek A., 2022. "Experimental test of the effects of punishment probability and size on the decision to take a bribe," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 97(C).
    • Handle: RePEc:eee:soceco:v:97:y:2022:i:c:s2214804321001531
    DOI: 10.1016/j.socec.2021.101813
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    References listed on IDEAS

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    1. Gneezy, Uri & Rustichini, Aldo, 2000. "A Fine is a Price," The Journal of Legal Studies, University of Chicago Press, vol. 29(1), pages 1-17, January.
    2. repec:cup:judgdm:v:16:y:2021:i:2:p:238-266 is not listed on IDEAS
    3. Gary S. Becker, 1974. "Crime and Punishment: An Economic Approach," NBER Chapters, in: Essays in the Economics of Crime and Punishment, pages 1-54, National Bureau of Economic Research, Inc.
    4. Boly, Amadou & Gillanders, Robert, 2018. "Anti-corruption policy making, discretionary power and institutional quality: An experimental analysis," Journal of Economic Behavior & Organization, Elsevier, vol. 152(C), pages 314-327.
    5. Klaus Abbink & Bernd Irlenbusch & Elke Renner, 2002. "An Experimental Bribery Game," The Journal of Law, Economics, and Organization, Oxford University Press, vol. 18(2), pages 428-454, October.
    6. Banerjee, Ritwik & Mitra, Arnab, 2018. "On monetary and non-monetary interventions to combat corruption," Journal of Economic Behavior & Organization, Elsevier, vol. 149(C), pages 332-355.
    7. Mikhail Drugov & John Hamman & Danila Serra, 2014. "Intermediaries in corruption: an experiment," Experimental Economics, Springer;Economic Science Association, vol. 17(1), pages 78-99, March.
    8. Robin Cubitt & Chris Starmer & Robert Sugden, 1998. "On the Validity of the Random Lottery Incentive System," Experimental Economics, Springer;Economic Science Association, vol. 1(2), pages 115-131, September.
    9. van Veldhuizen, R., 2013. "The influence of wages on public officials’ corruptibility: A laboratory investigation," Journal of Economic Psychology, Elsevier, vol. 39(C), pages 341-356.
    10. Arvind K. Jain, 2001. "Corruption: A Review," Journal of Economic Surveys, Wiley Blackwell, vol. 15(1), pages 71-121, February.
    11. Tversky, Amos & Kahneman, Daniel, 1992. "Advances in Prospect Theory: Cumulative Representation of Uncertainty," Journal of Risk and Uncertainty, Springer, vol. 5(4), pages 297-323, October.
    12. Qin, Xiangdong & Wang, Siyu, 2013. "Using an exogenous mechanism to examine efficient probabilistic punishment," Journal of Economic Psychology, Elsevier, vol. 39(C), pages 1-10.
    13. Lana Friesen, 2012. "Certainty of Punishment versus Severity of Punishment: An Experimental Investigation," Southern Economic Journal, John Wiley & Sons, vol. 79(2), pages 399-421, October.
    14. Rajeev Goel & Daniel Rich, 1989. "On the economic incentives for taking bribes," Public Choice, Springer, vol. 61(3), pages 269-275, June.
    15. Günther G. Schulze & Björn Frank, 2003. "Deterrence versus intrinsic motivation: Experimental evidence on the determinants of corruptibility," Economics of Governance, Springer, vol. 4(2), pages 143-160, August.
    16. Bruno S. Frey & Reto Jegen, 2001. "Motivation Crowding Theory," Journal of Economic Surveys, Wiley Blackwell, vol. 15(5), pages 589-611, December.
    17. Starmer, Chris & Sugden, Robert, 1991. "Does the Random-Lottery Incentive System Elicit True Preferences? An Experimental Investigation," American Economic Review, American Economic Association, vol. 81(4), pages 971-978, September.
    18. Vivi Alatas & Lisa Cameron & Ananish Chaudhuri & Nisvan Erkal & Lata Gangadharan, 2009. "Subject pool effects in a corruption experiment: A comparison of Indonesian public servants and Indonesian students," Experimental Economics, Springer;Economic Science Association, vol. 12(1), pages 113-132, March.
    19. Dan Ariely & Nina Mazar, 2006. "Dishonesty in everyday life and its policy implications," Working Papers 06-3, Federal Reserve Bank of Boston.
    20. 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.
    21. Ananish Chaudhuri & Tirnud Paichayontvijit & Erwann Sbai, 2016. "The Role of Framing, Inequity and History in a Corruption Game: Some Experimental Evidence," Games, MDPI, vol. 7(2), pages 1-24, June.
    22. Amadou Boly & Robert Gillanders & Topi Miettinen, 2019. "Deterrence, Contagion, and Legitimacy in Anticorruption Policy Making: An Experimental Analysis," The Journal of Legal Studies, University of Chicago Press, vol. 48(2), pages 275-305.
    23. Lana Friesen, 2012. "Certainty of Punishment versus Severity of Punishment: An Experimental Investigation," Southern Economic Journal, John Wiley & Sons, vol. 79(2), pages 399-421, October.
    24. Rajeev Goel & Michael Nelson, 2011. "Measures of corruption and determinants of US corruption," Economics of Governance, Springer, vol. 12(2), pages 155-176, June.
    25. Salmon, Timothy C. & Serra, Danila, 2017. "Corruption, social judgment and culture: An experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 142(C), pages 64-78.
    26. 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.
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    Cited by:

    1. Bahník, Štěpán & Vranka, Marek Albert, 2022. "Reward perception, but not reward inequality is associated with increased bribe-taking in a laboratory task," OSF Preprints n7atx, Center for Open Science.
    2. Bahník, Štěpán & Vranka, Marek, 2023. "How does probabilistic harm affect dishonesty? An experiment," Finance Research Letters, Elsevier, vol. 58(PB).

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    More about this item

    Keywords

    Corruption; Bribe-taking; Punishment; Laboratory experiment; HEXACO;
    All these keywords.

    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • D73 - Microeconomics - - Analysis of Collective Decision-Making - - - Bureaucracy; Administrative Processes in Public Organizations; Corruption
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • K42 - Law and Economics - - Legal Procedure, the Legal System, and Illegal Behavior - - - Illegal Behavior and the Enforcement of Law

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