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Intelligence and bribing behavior in a one-shot game

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  • Shaw, Philip
  • Vásquez, William F.
  • LeClair, Mark

Abstract

We investigate the relationship between intelligence and bribing behavior in a simple one-shot game of corruption. We find a robust relationship between intelligence and the probability of bribing in which a higher intelligence quotient (IQ) leads to a lower probability of bribing in the game. This result holds after controlling for other determinants such as gender, attitude toward corruption, and perceptions of corruption. By revealing the gender of the matched player, we also show that gender perceptions of corruption are strong determinants of bribery.

Suggested Citation

  • Shaw, Philip & Vásquez, William F. & LeClair, Mark, 2013. "Intelligence and bribing behavior in a one-shot game," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 44(C), pages 91-96.
    • Handle: RePEc:eee:soceco:v:44:y:2013:i:c:p:91-96
    DOI: 10.1016/j.socec.2013.02.013
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    References listed on IDEAS

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    1. Jakob Svensson, 2003. "Who Must Pay Bribes and How Much? Evidence from a Cross Section of Firms," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(1), pages 207-230.
    2. Gachter, Simon & Herrmann, Benedikt & Thoni, Christian, 2004. "Trust, voluntary cooperation, and socio-economic background: survey and experimental evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 55(4), pages 505-531, December.
    3. Kahana, Nava & Qijun, Liu, 2010. "Endemic corruption," European Journal of Political Economy, Elsevier, vol. 26(1), pages 82-88, March.
    4. Dyer, Douglas & Kagel, John H & Levin, Dan, 1989. "A Comparison of Naive and Experienced Bidders in Common Value Offer Auctions: A Laboratory Analysis," Economic Journal, Royal Economic Society, vol. 99(394), pages 108-115, March.
    5. Swamy, Anand & Knack, Stephen & Lee, Young & Azfar, Omar, 2001. "Gender and corruption," Journal of Development Economics, Elsevier, vol. 64(1), pages 25-55, February.
    6. Abigail Barr & Danila Serra, 2009. "The effects of externalities and framing on bribery in a petty corruption experiment," Experimental Economics, Springer;Economic Science Association, vol. 12(4), pages 488-503, December.
    7. Toke S. Aidt, 2003. "Economic analysis of corruption: a survey," Economic Journal, Royal Economic Society, vol. 113(491), pages 632-652, November.
    8. M. Fernanda Rivas, 2013. "An Experiment On Corruption And Gender," Bulletin of Economic Research, Wiley Blackwell, vol. 65(1), pages 10-42, January.
    9. Potrafke, Niklas, 2012. "Intelligence and corruption," Economics Letters, Elsevier, vol. 114(1), pages 109-112.
    10. Kamei, Kenju, 2012. "From locality to continent: A comment on the generalization of an experimental study," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 41(2), pages 207-210.
    11. Barr, Abigail & Serra, Danila, 2010. "Corruption and culture: An experimental analysis," Journal of Public Economics, Elsevier, vol. 94(11-12), pages 862-869, December.
    12. 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.
    13. Armantier, Olivier & Boly, Amadou, 2011. "A controlled field experiment on corruption," European Economic Review, Elsevier, vol. 55(8), pages 1072-1082.
    14. Dimitrova-Grajzl, Valentina & Grajzl, Peter & Guse, A. Joseph, 2012. "Trust, perceptions of corruption, and demand for regulation: Evidence from post-socialist countries," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 41(3), pages 292-303.
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    Cited by:

    1. Vranka, Marek Albert & Bahník, Štěpán, 2017. "Predictors of Bribe-Taking: The Role of Bribe Size and Personality," OSF Preprints mzhkq, Center for Open Science.
    2. Garett Jones & Niklas Potrafke, 2014. "Human Capital and National Institutional Quality: Are TIMSS, PISA, and National Average IQ Robust Predictors?," CESifo Working Paper Series 4790, CESifo.

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    More about this item

    Keywords

    Corruption; Bribery; Intelligence;
    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
    • K42 - Law and Economics - - Legal Procedure, the Legal System, and Illegal Behavior - - - Illegal Behavior and the Enforcement of Law

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