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Analysis of the economic impact of medical and optometric driving standards on costs incurred by trucking firms and on the social costs of traffic accidents

Author

Listed:
  • Dionne, Georges

    (HEC Montreal, Canada Research Chair in Risk Management)

  • Laberge-Nadeau, Claire

    (Université de Montréal)

  • Desjardins, Denise

    (Université de Montréal)

  • Messier, Stéphane

    (Université de Montréal)

  • Maag, Urs

    (Université de Montréal)

Abstract

Recent studies do not agree on the possible relationships between medical conditions and traffic safety; most of them do not control for exposure factors. In this study, we estimate the effect of different medical conditions (namely diabetes, high blood pressure, coronary disease, and visual impairment) on the distribution of accidents of truck drivers. Our data and our model permit the simultaneous control for age, medical conditions and other characteristics of the truck drivers; exposure factors measured by hours, kilometers, and qualitative factors; and of the circumstances surrounding accidents described in police reports. The results show that truck drivers not in class 1 (79% are class 3) with diabetes have more accidents than the drivers in good health. No other medical condition studied has a significant effect on individual accident rates. Many risk exposure variables are significant. We have also estimated the parameters of the severity distribution. Our data limited the regression analysis of the severity in terms of the number of victims injured or killed. The results indicate that drivers with a visual impairment (binocular vision impairment) have more serious accidents than those in good health. Our cost estimations show that the expected average cost of drivers with diabetes is twice as high as the expected average cost of drivers in good health. The cost differences are less significant for the drivers with a visual impairment. The conclusion summarizes the main results.

Suggested Citation

  • Dionne, Georges & Laberge-Nadeau, Claire & Desjardins, Denise & Messier, Stéphane & Maag, Urs, 1998. "Analysis of the economic impact of medical and optometric driving standards on costs incurred by trucking firms and on the social costs of traffic accidents," Working Papers 98-6, HEC Montreal, Canada Research Chair in Risk Management.
    • Handle: RePEc:ris:crcrmw:1998_006
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    References listed on IDEAS

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    1. Viscusi, W Kip & Moore, Michael J, 1987. "Workers' Compensation: Wage Effects, Benefit Inadequacies, and the Value of Health Losses," The Review of Economics and Statistics, MIT Press, vol. 69(2), pages 249-261, May.
    2. Cameron, A Colin & Trivedi, Pravin K, 1986. "Econometric Models Based on Count Data: Comparisons and Applications of Some Estimators and Tests," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 1(1), pages 29-53, January.
    3. Dionne, G & Vanasse, C, 1992. "Automobile Insurance Ratemaking in the Presence of Asymmetrical Information," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 7(2), pages 149-165, April-Jun.
    4. Gourieroux, Christian & Monfort, Alain & Trognon, Alain, 1984. "Pseudo Maximum Likelihood Methods: Theory," Econometrica, Econometric Society, vol. 52(3), pages 681-700, May.
    5. Gourieroux, Christian & Monfort, Alain & Trognon, Alain, 1984. "Pseudo Maximum Likelihood Methods: Applications to Poisson Models," Econometrica, Econometric Society, vol. 52(3), pages 701-720, May.
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    Cited by:

    1. Denise Desjardins & Georges Dionne & Yang Lu, 2023. "Hierarchical random‐effects model for the insurance pricing of vehicles belonging to a fleet," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(2), pages 242-259, March.
    2. Angers, Jean-François & Desjardins, Denise & Dionne, Georges & Guertin, François, 2006. "Vehicle and Fleet Random Effects in a Model of Insurance Rating for Fleets of Vehicles," ASTIN Bulletin, Cambridge University Press, vol. 36(1), pages 25-77, May.

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    More about this item

    Keywords

    Medical condition; traffic safety; truck drivers; accidents; exposure factors; age; private accident costs; human capital costs; willingness to pay;
    All these keywords.

    JEL classification:

    • D80 - Microeconomics - - Information, Knowledge, and Uncertainty - - - General
    • G22 - Financial Economics - - Financial Institutions and Services - - - Insurance; Insurance Companies; Actuarial Studies
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • I13 - Health, Education, and Welfare - - Health - - - Health Insurance, Public and Private

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