IDEAS home Printed from https://ideas.repec.org/p/ris/crcrmw/1998_006.html
   My bibliography  Save this paper

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
    as

    Download full text from publisher

    File URL: https://www.risksresearch.com/_files/ugd/a6eed3_d0d1b3cefd4443999f716ee820e0fa85.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    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.
    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. 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.
    2. 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.

    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. Dionne, Georges & Gagne, Robert & Gagnon, Francois & Vanasse, Charles, 1997. "Debt, moral hazard and airline safety An empirical evidence," Journal of Econometrics, Elsevier, vol. 79(2), pages 379-402, August.
    2. Dionne, Georges & Artis, Manuel & Guillen, Montserrat, 1996. "Count data models for a credit scoring system," Journal of Empirical Finance, Elsevier, vol. 3(3), pages 303-325, September.
    3. 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.
    4. David Mihaela & Jemna Dănuţ-Vasile, 2015. "Modeling the Frequency of Auto Insurance Claims by Means of Poisson and Negative Binomial Models," Scientific Annals of Economics and Business, Sciendo, vol. 62(2), pages 151-168, July.
    5. Dionne, Georges, 1998. "La mesure empirique des problèmes d’information," L'Actualité Economique, Société Canadienne de Science Economique, vol. 74(4), pages 585-606, décembre.
    6. Gouriéroux, Christian & Monfort, Alain, 1997. "Modèles de comptage semi-paramétriques," L'Actualité Economique, Société Canadienne de Science Economique, vol. 73(1), pages 525-550, mars-juin.
    7. Dionne, Georges & Vanasse, Charles, 1997. "Une évaluation empirique de la nouvelle tarification de l’assurance automobile (1992) au Québec," L'Actualité Economique, Société Canadienne de Science Economique, vol. 73(1), pages 47-80, mars-juin.
    8. Cuicui Lu & Weining Wang & Jeffrey M. Wooldridge, 2018. "Using generalized estimating equations to estimate nonlinear models with spatial data," Papers 1810.05855, arXiv.org.
    9. Georges Dionne & Olfa Ghali, 2005. "The (1992) Bonus‐Malus System in Tunisia: An Empirical Evaluation," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 72(4), pages 609-633, December.
    10. Michael R. Baye & J. Rupert J. Gatti & Paul Kattuman & John Morgan, 2009. "Clicks, Discontinuities, and Firm Demand Online," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 18(4), pages 935-975, December.
    11. Clément Bosquet & Hervé Boulhol, 2014. "Applying the GLM Variance Assumption to Overcome the Scale-Dependence of the Negative Binomial QGPML Estimator," Econometric Reviews, Taylor & Francis Journals, vol. 33(7), pages 772-784, October.
    12. Mello, Marco & Moscelli, Giuseppe, 2022. "Voting, contagion and the trade-off between public health and political rights: Quasi-experimental evidence from the Italian 2020 polls," Journal of Economic Behavior & Organization, Elsevier, vol. 200(C), pages 1025-1052.
    13. Dionne, Georges, 2012. "The empirical measure of information problems with emphasis on insurance fraud and dynamic data," Working Papers 12-10, HEC Montreal, Canada Research Chair in Risk Management.
    14. Karine Moschetti & Véra Zabrodina & Pierre Stadelmann & Tenzin Wangmo & Alberto Holly & Jean-Blaise Wasserfallen & Bernice S Elger & Bruno Gravier, 2017. "Exploring differences in healthcare utilization of prisoners in the Canton of Vaud, Switzerland," PLOS ONE, Public Library of Science, vol. 12(10), pages 1-15, October.
    15. Dionne, G., 2000. "The Empirical Measure of Information Problems with Emphasis on Insurance Fraud," Ecole des Hautes Etudes Commerciales de Montreal- 00-04, Ecole des Hautes Etudes Commerciales de Montreal-Chaire de gestion des risques..
    16. Baye, Michael & GATTI, RUPERT J & Kattuman, Paul & Morgan, John, 2004. "Estimating Firm-Level Demand at a Price Comparison Site: Accounting for Shoppers and the Number of Competitors," Competition Policy Center, Working Paper Series qt923692d1, Competition Policy Center, Institute for Business and Economic Research, UC Berkeley.
    17. Dohse, Dirk & Schertler, Andrea, 2003. "Explaining the regional distribution of new economy firms: a count data analysis," Kiel Working Papers 1193, Kiel Institute for the World Economy (IfW Kiel).
    18. Miguel A. Delgado & Thomas J. Kniesner, 1997. "Count Data Models With Variance Of Unknown Form: An Application To A Hedonic Model Of Worker Absenteeism," The Review of Economics and Statistics, MIT Press, vol. 79(1), pages 41-49, February.
    19. Babcock, Michael W. & Gayle, Philip G., 2009. "State Variation in the Determinants of Motor Vehicle Fatalities," Journal of the Transportation Research Forum, Transportation Research Forum, vol. 48(3).
    20. Dionne, G. & Maurice, M. & Pinquet, J. & Vanasse, C., 2001. "The Role of Memory in Long-Term Contracting with Moral Hazard: Empirical Evidence in Automobile Insurance," Ecole des Hautes Etudes Commerciales de Montreal- 01-05, Ecole des Hautes Etudes Commerciales de Montreal-Chaire de gestion des risques..

    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

    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:ris:crcrmw:1998_006. 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: Claire Boisvert (email available below). General contact details of provider: https://edirc.repec.org/data/hecmtca.html .

    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.