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Do people drive safer when accidents are more expensive: Testing for moral hazard in experience rating schemes

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  • Vukina, Tomislav
  • Nestić, Danijel

Abstract

Using individual policies and claims data from the Croatian mandatory motor insurance we test the theoretical proposition that under moral hazard, experience rated pricing scheme should generate the negative state dependence in claims, i.e. that drivers should drive more safely after they had an accident. The empirical challenge in these tests is to disentangle the state dependence from unobserved heterogeneity. We propose a simple approach based on the explicit reliance on the cost of future accidents function which is used to filter out the pure incentives effect, whereas the bonus-malus scale is used to control for pure heterogeneity. Our results confirm the existence of negative dependence in claims indicating the presence of significant moral hazard effect. Increasing a 3-year cost of having an accident by approximately US$20 decreases the probability of having an accident by 6.5%.

Suggested Citation

  • Vukina, Tomislav & Nestić, Danijel, 2015. "Do people drive safer when accidents are more expensive: Testing for moral hazard in experience rating schemes," Transportation Research Part A: Policy and Practice, Elsevier, vol. 71(C), pages 46-58.
  • Handle: RePEc:eee:transa:v:71:y:2015:i:c:p:46-58
    DOI: 10.1016/j.tra.2014.10.024
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    References listed on IDEAS

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    1. Georges Dionne & Pierre-Carl Michaud & Maki Dahchour, 2013. "Separating Moral Hazard From Adverse Selection And Learning In Automobile Insurance: Longitudinal Evidence From France," Journal of the European Economic Association, European Economic Association, vol. 11(4), pages 897-917, August.
    2. Pierre‐André Chiappori & Bruno Jullien & Bernard Salanié & François Salanié, 2006. "Asymmetric information in insurance: general testable implications," RAND Journal of Economics, RAND Corporation, vol. 37(4), pages 783-798, December.
    3. Christopher F Baum, 2006. "An Introduction to Modern Econometrics using Stata," Stata Press books, StataCorp LP, number imeus, March.
    4. Sloan, Frank A & Reilly, Bridget A & Schenzler, Christoph, 1995. "Effects of Tort Liability and Insurance on Heavy Drinking and Drinking and Driving," Journal of Law and Economics, University of Chicago Press, vol. 38(1), pages 49-77, April.
    5. Carpenter, Christopher S. & Stehr, Mark, 2008. "The effects of mandatory seatbelt laws on seatbelt use, motor vehicle fatalities, and crash-related injuries among youths," Journal of Health Economics, Elsevier, vol. 27(3), pages 642-662, May.
    6. Jaap H. Abbring & Pierre-André Chiappori & Jean Pinquet, 2003. "Moral Hazard and Dynamic Insurance Data," Journal of the European Economic Association, MIT Press, vol. 1(4), pages 767-820, June.
    7. Gunnar Lindberg, 2001. "Traffic Insurance and Accident Externality Charges," Journal of Transport Economics and Policy, University of Bath, vol. 35(3), pages 399-416, September.
    8. Paefgen, Johannes & Staake, Thorsten & Fleisch, Elgar, 2014. "Multivariate exposure modeling of accident risk: Insights from Pay-as-you-drive insurance data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 61(C), pages 27-40.
    9. Savage, Ian, 2013. "Comparing the fatality risks in United States transportation across modes and over time," Research in Transportation Economics, Elsevier, vol. 43(1), pages 9-22.
    10. Alma Cohen & Liran Einav, 2003. "The Effects of Mandatory Seat Belt Laws on Driving Behavior and Traffic Fatalities," The Review of Economics and Statistics, MIT Press, vol. 85(4), pages 828-843, November.
    11. Pierre‐André Chiappori & Bruno Jullien & Bernard Salanié & François Salanié, 2006. "Asymmetric information in insurance: general testable implications," RAND Journal of Economics, The RAND Corporation, vol. 37(4), pages 783-798, December.
    12. Richard Tay, 2005. "General and Specific Deterrent Effects of Traffic Enforcement: Do we have to Catch Offenders to Reduce Crashes?," Journal of Transport Economics and Policy, University of Bath, vol. 39(2), pages 209-224, May.
    13. repec:bla:econom:v:47:y:1980:i:187:p:247-83 is not listed on IDEAS
    14. Boyer, Marcel & Dionne, Georges, 1989. "An Empirical Analysis of Moral Hazard and Experience Rating," The Review of Economics and Statistics, MIT Press, vol. 71(1), pages 128-134, February.
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    Cited by:

    1. Bergland, Harald & Pedersen, Pål Andreas, 2019. "Efficiency and traffic safety with pay for performance in road transportation," Transportation Research Part B: Methodological, Elsevier, vol. 130(C), pages 21-35.
    2. Bian, Yiyang & Yang, Chen & Zhao, J. Leon & Liang, Liang, 2018. "Good drivers pay less: A study of usage-based vehicle insurance models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 107(C), pages 20-34.

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