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Predicted risk perception and risk-taking behavior: The case of impaired driving

Author

Listed:
  • Dionne, Georges

    (HEC Montreal, Canada Research Chair in Risk Management)

  • Fluet, Claude

    (Université Laval)

  • Desjardins, Denise

    (HEC Montreal, Canada Research Chair in Risk Management)

Abstract

Research suggests an association between risk perception and risk-taking behavior in a variety of contexts. There is empirical evidence that perceived risk is generally biased and that perception of risk influences behavior. Perception of risk can be endogenous. It is therefore more appropriate to instrument risk perception. This article studies the perception of the risks associated with impaired driving and the relation between predicted risk perception and driving behavior. We survey a sample of license-holders, half of whom are drivers with a past conviction for impaired driving, the other half or control group without such conviction. Predicted perceptual biases are shown to influence actual driving behavior.

Suggested Citation

  • Dionne, Georges & Fluet, Claude & Desjardins, Denise, 2007. "Predicted risk perception and risk-taking behavior: The case of impaired driving," Working Papers 06-4, HEC Montreal, Canada Research Chair in Risk Management.
    • Handle: RePEc:ris:crcrmw:2006_004
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    References listed on IDEAS

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    Cited by:

    1. Thomas Leoni, 2010. "What drives the perception of health and safety risks in the workplace? Evidence from European labour markets," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 37(2), pages 165-195, May.
    2. Yiqun Chen & Frank Sloan, 2014. "Subjective Beliefs, Deterrence, and the Propensity to Drive While Intoxicated," NBER Working Papers 20680, National Bureau of Economic Research, Inc.
    3. Grimm, Michael & Treibich, Carole, 2016. "Why do some motorbike riders wear a helmet and others don’t? Evidence from Delhi, India," Transportation Research Part A: Policy and Practice, Elsevier, vol. 88(C), pages 318-336.
    4. Frank Sloan & Lindsey Eldred & Tong Guo & Yanzhi Xu, 2013. "Are people overoptimistic about the effects of heavy drinking?," Journal of Risk and Uncertainty, Springer, vol. 47(1), pages 93-127, August.
    5. Georges Dionne & Denise Desjardins & Martin Lebeau & Stéphane Messier & André Dascal, 2014. "Health Care Workers' Risk Perceptions of Personal and Work Activities and Willingness to Report for Work During an Influenza Pandemic," Cahiers de recherche 1416, CIRPEE.
    6. Frank A. Sloan, 2020. "Drinking and Driving," NBER Working Papers 26779, National Bureau of Economic Research, Inc.
    7. Frank A. Sloan, 2024. "Subjective beliefs, health, and health behaviors," Journal of Risk and Uncertainty, Springer, vol. 69(2), pages 105-144, October.
    8. repec:dau:papers:123456789/3482 is not listed on IDEAS
    9. Ziebarth Nicolas R., 2018. "Biased Lung Cancer Risk Perceptions: Smokers are Misinformed," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 238(5), pages 395-421, September.
    10. Georges Dionne & Denise Desjardins & Martin Lebeau & Stéphane Messier & André Dascal, 2018. "Health Care Workers’ Risk Perceptions and Willingness to Report for Work during an Influenza Pandemic," Risks, MDPI, vol. 6(1), pages 1-18, February.
    11. Grant, Darren, 2016. "A structural analysis of U.S. drunk driving policy," International Review of Law and Economics, Elsevier, vol. 45(C), pages 14-22.

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    More about this item

    Keywords

    Risk perception; predicted risk perception; risk-taking behavior; impaired driving; traffic violation; road accident;
    All these keywords.

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • K42 - Law and Economics - - Legal Procedure, the Legal System, and Illegal Behavior - - - Illegal Behavior and the Enforcement of Law

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