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A Bayesian and Classical Econometric Evaluation of the Effect of Cell Phones on Motor Vehicle Fatality Rates

Author

Listed:
  • Richard Fowles

    ()

  • Peter Loeb

    ()

  • William A. Clarke

    ()

Abstract

This paper examines the potential effect of cell phones on motor vehicle fatality rates normalized for other driving related and socioeconomic factors. The model used is nonlinear so as to address both life-taking and life-saving attributes of cell phones. The models are evaluated using classical methods along with Bayesian Extreme Bounds Analysis (EBA). The use of both classical and Bayesian methods diminishes the model and parameter uncertainties which afflict more conventional modeling methods which rely on only one of the two methods. The results indicate the presence of both life-taking and life-saving attributes of cell phones on motor vehicle fatality rates depending on the volume of cell phone subscribers in existence.

Suggested Citation

  • Richard Fowles & Peter Loeb & William A. Clarke, 2009. "A Bayesian and Classical Econometric Evaluation of the Effect of Cell Phones on Motor Vehicle Fatality Rates," Working Papers Rutgers University, Newark 2009-001, Department of Economics, Rutgers University, Newark.
  • Handle: RePEc:run:wpaper:2009-001
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    File URL: http://www.ncas.rutgers.edu/workingpaper20091
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    References listed on IDEAS

    as
    1. Loeb, Peter D., 2001. "The effectiveness of seat belt legislation in reducing driver-involved injury rates in Maryland," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 37(4), pages 297-310, August.
    2. Keeler, Theodore E, 1994. "Highway Safety, Economic Behavior, and Driving Environment," American Economic Review, American Economic Association, vol. 84(3), pages 684-693, June.
    3. Leamer, Edward E, 1983. "Let's Take the Con Out of Econometrics," American Economic Review, American Economic Association, vol. 73(1), pages 31-43, March.
    4. Levy, David T & Asch, Peter, 1989. "Speeding, Coordination, and the 55-MPH Limit: Comment," American Economic Review, American Economic Association, vol. 79(4), pages 913-915, September.
    5. Granger, Clive W. J. & Uhlig, Harald F., 1990. "Reasonable extreme-bounds analysis," Journal of Econometrics, Elsevier, vol. 44(1-2), pages 159-170.
    6. Loeb, Peter D, 1995. "The Effectiveness of Seat-Belt Legislation in Reducing Injury Rates in Texas," American Economic Review, American Economic Association, vol. 85(2), pages 81-84, May.
    7. Chaloupka, Frank J & Saffer, Henry & Grossman, Michael, 1993. "Alcohol-Control Policies and Motor-Vehicle Fatalities," The Journal of Legal Studies, University of Chicago Press, vol. 22(1), pages 161-186, January.
    8. Snyder, Donald, 1989. "Speeding, Coordination, and the 55-MPH Limit: Comment," American Economic Review, American Economic Association, vol. 79(4), pages 922-925, September.
    9. Leamer, Edward E, 1982. "Sets of Posterior Means with Bounded Variance Priors," Econometrica, Econometric Society, vol. 50(3), pages 725-736, May.
    10. Fowles, Richard & Loeb, Peter D, 1989. "Speeding, Coordination, and the 55-MPH Limit: Comment," American Economic Review, American Economic Association, vol. 79(4), pages 916-921, September.
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    More about this item

    Keywords

    Motor Vehicle Fatality Rates; Cell Phones; Bayesian Econometric Methods; Extreme Bounds Analysis; Classical Econometric Methods;

    JEL classification:

    • L92 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Railroads and Other Surface Transportation

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