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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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    1. Henrik Andersson & Petter Lundborg, 2007. "Perception of own death risk," Journal of Risk and Uncertainty, Springer, vol. 34(1), pages 67-84, February.
    2. Bourgeon, Jean-Marc & Picard, Pierre, 2007. "Point-record driving licence and road safety: An economic approach," Journal of Public Economics, Elsevier, vol. 91(1-2), pages 235-258, February.
    3. Liu, Jin-Tan & Hsieh, Chee-Ruey, 1995. "Risk Perception and Smoking Behavior: Empirical Evidence from Taiwan," Journal of Risk and Uncertainty, Springer, vol. 11(2), pages 139-157, September.
    4. Viscusi, W Kip & O'Connor, Charles J, 1984. "Adaptive Responses to Chemical Labeling: Are Workers Bayesian Decision Makers?," American Economic Review, American Economic Association, vol. 74(5), pages 942-956, December.
    5. Arrow, Kenneth J, 1982. "Risk Perception in Psychology and Economics," Economic Inquiry, Western Economic Association International, vol. 20(1), pages 1-9, January.
    6. V. Kerry Smith & William H. Desvousges & F. Reed Johnson & Ann Fisher, 1990. "Can public information programs affect risk perceptions?," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 9(1), pages 41-59.
    7. Steven Shavell & A. Mitchell Polinsky, 2000. "The Economic Theory of Public Enforcement of Law," Journal of Economic Literature, American Economic Association, vol. 38(1), pages 45-76, March.
    8. Young, Douglas J. & Likens, Thomas W., 2000. "Alcohol Regulation and Auto Fatalities," International Review of Law and Economics, Elsevier, vol. 20(1), pages 107-126, March.
    9. Jean Pinquet & Georges Dionne & Charles Vanasse & Mathieu Maurice, 2007. "Point-record incentives, asymmetric information and dynamic data," Working Papers hal-00243056, HAL.
    10. Benson, Bruce L. & Rasmussen, David W. & Mast, Brent D., 1999. "Deterring drunk driving fatalities: an economics of crime perspective1," International Review of Law and Economics, Elsevier, vol. 19(2), pages 205-225, June.
    11. Antoñanzas, Fernando & Viscusi, W. Kip & Rovira, Joan & Braña, Francisco J. & Portillo, Fabiola & Carvalho, Iirineu, 2000. "Smoking Risks in Spain: Part I--Perception of Risks to the Smoker," Journal of Risk and Uncertainty, Springer, vol. 21(2-3), pages 161-186, November.
    12. Boyer, Marcel & Dionne, Georges, 1987. "The economics of road safety," Transportation Research Part B: Methodological, Elsevier, vol. 21(5), pages 413-431, October.
    13. Viscusi, W Kip, 1990. "Do Smokers Underestimate Risks?," Journal of Political Economy, University of Chicago Press, vol. 98(6), pages 1253-1269, December.
    14. Hakes, Jahn K & Viscusi, W Kip, 1997. "Mortality Risk Perceptions: A Bayesian Reassessment," Journal of Risk and Uncertainty, Springer, vol. 15(2), pages 135-150, November.
    15. Smith, V Kerry & Johnson, F Reed, 1988. "How Do Risk Perceptions Respond to Information? The Case of Radon," The Review of Economics and Statistics, MIT Press, vol. 70(1), pages 1-8, February.
    16. Viscusi, W. Kip, 1985. "A Bayesian perspective on biases in risk perception," Economics Letters, Elsevier, vol. 17(1-2), pages 59-62.
    17. Kenkel, Donald S., 1993. "Do drunk drivers pay their way? a note on optimal penalties for drunk driving," Journal of Health Economics, Elsevier, vol. 12(2), pages 137-149, July.
    18. Daniel Eisenberg, 2003. "Evaluating the effectiveness of policies related to drunk driving," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 22(2), pages 249-274.
    19. Viscusi, W Kip & Carvalho, Irineu & Antoñanzas, Fernando & Rovira, Joan & Braña, Francisco J. & Portillo, Fabiola, 2000. "Smoking Risks in Spain: Part III--Determinants of Smoking Behavior," Journal of Risk and Uncertainty, Springer, vol. 21(2-3), pages 213-234, November.
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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. 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.
    3. 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.
    4. 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.
    5. Frank A. Sloan, 2020. "Drinking and Driving," NBER Working Papers 26779, National Bureau of Economic Research, Inc.
    6. 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.
    7. Dionne, Georges & Desjardins, Denise & Lebeau, Martin & Messier, Stéphane & Dascal, André, 2014. "Health care workers’ risk perceptions of personal and work activities and willingness to report for work during an influenza pandemic," Working Papers 14-2, HEC Montreal, Canada Research Chair in Risk Management.
    8. Frank A. Sloan, 2024. "Subjective beliefs, health, and health behaviors," Journal of Risk and Uncertainty, Springer, vol. 69(2), pages 105-144, October.
    9. 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.
    10. repec:dau:papers:123456789/3482 is not listed on IDEAS
    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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