IDEAS home Printed from https://ideas.repec.org/a/eee/soceco/v44y2013icp91-96.html
   My bibliography  Save this article

Intelligence and bribing behavior in a one-shot game

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1053535713000231
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.socec.2013.02.013?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. Swamy, Anand & Knack, Stephen & Lee, Young & Azfar, Omar, 2001. "Gender and corruption," Journal of Development Economics, Elsevier, vol. 64(1), pages 25-55, February.
    4. Barr, Abigail & Serra, Danila, 2010. "Corruption and culture: An experimental analysis," Journal of Public Economics, Elsevier, vol. 94(11-12), pages 862-869, December.
    5. Potrafke, Niklas, 2012. "Intelligence and corruption," Economics Letters, Elsevier, vol. 114(1), pages 109-112.
    6. 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.
    7. M. Fernanda Rivas, 2013. "An Experiment On Corruption And Gender," Bulletin of Economic Research, Wiley Blackwell, vol. 65(1), pages 10-42, January.
    8. 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.
    9. 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.
    10. Kahana, Nava & Qijun, Liu, 2010. "Endemic corruption," European Journal of Political Economy, Elsevier, vol. 26(1), pages 82-88, March.
    11. 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.
    12. Armantier, Olivier & Boly, Amadou, 2011. "A controlled field experiment on corruption," European Economic Review, Elsevier, vol. 55(8), pages 1072-1082.
    13. 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.
    14. Toke S. Aidt, 2003. "Economic analysis of corruption: a survey," Economic Journal, Royal Economic Society, vol. 113(491), pages 632-652, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    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. Michael Breen & Robert Gillanders & Gemma Mcnulty & Akisato Suzuki, 2017. "Gender and Corruption in Business," Journal of Development Studies, Taylor & Francis Journals, vol. 53(9), pages 1486-1501, September.
    2. Gans-Morse, Jordan & Borges, Mariana & Makarin, Alexey & Mannah-Blankson, Theresa & Nickow, Andre & Zhang, Dong, 2018. "Reducing bureaucratic corruption: Interdisciplinary perspectives on what works," World Development, Elsevier, vol. 105(C), pages 171-188.
    3. 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.
    4. Armantier, Olivier & Boly, Amadou, 2011. "A controlled field experiment on corruption," European Economic Review, Elsevier, vol. 55(8), pages 1072-1082.
    5. Nina Bobkova & Henrik Egbert, 2012. "Corruption Investigated in the Lab: A Survey of the Experimental Literature," International Journal of Finance, Insurance and Risk Management, International Journal of Finance, Insurance and Risk Management, vol. 2(4), pages 337-337.
    6. Raymundo M. Campos-Vazquez & Luis A. Mejia, 2016. "Does corruption affect cooperation? A laboratory experiment," Latin American Economic Review, Springer;Centro de Investigaciòn y Docencia Económica (CIDE), vol. 25(1), pages 1-19, December.
    7. Alice Guerra & Tatyana Zhuravleva, 2022. "Do women always behave as corruption cleaners?," Public Choice, Springer, vol. 191(1), pages 173-192, April.
    8. Banuri, Sheheryar & Eckel, Catherine, 2012. "Experiments in culture and corruption : a review," Policy Research Working Paper Series 6064, The World Bank.
    9. Elena Denisova-Schmidt & Martin Huber & Elvira Leontyeva & Anna Solovyeva, 2021. "Combining experimental evidence with machine learning to assess anti-corruption educational campaigns among Russian university students," Empirical Economics, Springer, vol. 60(4), pages 1661-1684, April.
    10. García-Gallego, Aurora & Georgantzis, Nikos & Jaber-López, Tarek & Michailidou, Georgia, 2020. "Audience effects and other-regarding preferences against corruption: Experimental evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 180(C), pages 159-173.
    11. 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.
    12. Krisztina Kis-Katos & Günther G. Schulze, 2013. "Corruption in Southeast Asia: a survey of recent research," Asian-Pacific Economic Literature, The Crawford School, The Australian National University, vol. 27(1), pages 79-109, May.
    13. Aidt, Toke S. & Hillman, Arye L. & Qijun, LIU, 2020. "Who takes bribes and how much? Evidence from the China Corruption Conviction Databank," World Development, Elsevier, vol. 133(C).
    14. Olivier Armantier & Amadou Boly, 2008. "Can Corruption Be Studied in the Lab? Comparing a Field and a Lab Experiment," CIRANO Working Papers 2008s-26, CIRANO.
    15. Liu Qijun & Peng Yaping, 2015. "Determinants of Willingness to Bribe: Micro Evidence from the Educational Sector in China," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 235(2), pages 168-183, April.
    16. Hunt, Jennifer & Laszlo, Sonia, 2005. "Bribery: Who Pays, Who Refuses, What are the Payoffs?," CEPR Discussion Papers 5251, C.E.P.R. Discussion Papers.
    17. Hunt, Jennifer & Laszlo, Sonia, 2012. "Is Bribery Really Regressive? Bribery’s Costs, Benefits, and Mechanisms," World Development, Elsevier, vol. 40(2), pages 355-372.
    18. Dzhumashev, Ratbek, 2014. "Corruption and growth: The role of governance, public spending, and economic development," Economic Modelling, Elsevier, vol. 37(C), pages 202-215.
    19. Dickinson, David L. & Masclet, David & Villeval, Marie Claire, 2015. "Norm enforcement in social dilemmas: An experiment with police commissioners," Journal of Public Economics, Elsevier, vol. 126(C), pages 74-85.
    20. Olivier Armantier & Amadou Boly, 2013. "Comparing Corruption in the Laboratory and in the Field in Burkina Faso and in Canada," Economic Journal, Royal Economic Society, vol. 123(12), pages 1168-1187, December.

    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

    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:eee:soceco:v:44:y:2013:i:c:p:91-96. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/620175 .

    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.