IDEAS home Printed from https://ideas.repec.org/a/bla/rmgtin/v23y2020i4p331-377.html
   My bibliography  Save this article

The relationships between vehicle characteristics and automobile accidents

Author

Listed:
  • Wei‐Jin Wu
  • Chu‐Shiu Li
  • Sheng‐Chang Peng

Abstract

In this study, the relationships between vehicle characteristics and automobile accidents are examined based on physical damage insurance claims data from a major property insurance company in Taiwan. For the whole sample, we find that the car characteristics index (an estimate for the replacement cost associated with claims) is negatively correlated with the claim probability and positively correlated with claim severity. New cars and sport utility vehicles (SUVs) (compared with Sedans) are associated with higher claim probability. However, SUVs (compared with Sedans) are associated with lower claim severity. Small (compared with large) vehicles are associated with lower claim probability and lower claim severity. Compared with the imported cars from Germany, policyholders with the imported cars from Japan or the US are more likely to file a claim but to have lower claim severity. On subgroup analyses, the relationship between car characteristics index and claim probability is positive for domestic cars and negative for imported cars, implying that imported car policies subsidize domestic car policies. We also find the impacts of vehicle characteristics on claim probability and claim severity differ for domestic cars and imported cars in subsamples. Our empirical evidence provides important implications for premium pricing in the automobile physical damage insurance industry.

Suggested Citation

  • Wei‐Jin Wu & Chu‐Shiu Li & Sheng‐Chang Peng, 2020. "The relationships between vehicle characteristics and automobile accidents," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 23(4), pages 331-377, December.
  • Handle: RePEc:bla:rmgtin:v:23:y:2020:i:4:p:331-377
    DOI: 10.1111/rmir.12163
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/rmir.12163
    Download Restriction: no

    File URL: https://libkey.io/10.1111/rmir.12163?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Chu-Shiu Li & Chih Hao Lin & Chwen-Chi Liu & Emilio Venezian, 2010. "Pricing Effectiveness and Regulation: An Examination of Premium Rating in Taiwan Automobile Insurance," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 35(S1), pages 68-81, December.
    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. Puelz, Robert & Snow, Arthur, 1994. "Evidence on Adverse Selection: Equilibrium Signaling and Cross-Subsidization in the Insurance Market," Journal of Political Economy, University of Chicago Press, vol. 102(2), pages 236-257, April.
    4. Alma Cohen & Peter Siegelman, 2010. "Testing for Adverse Selection in Insurance Markets," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 77(1), pages 39-84, March.
    5. Edmond L. Toy & James K. Hammitt, 2003. "Safety Impacts of SUVs, Vans, and Pickup Trucks in Two‐Vehicle Crashes," Risk Analysis, John Wiley & Sons, vol. 23(4), pages 641-650, August.
    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. de Meza, David & Webb, David C, 2001. "Advantageous Selection in Insurance Markets," RAND Journal of Economics, The RAND Corporation, vol. 32(2), pages 249-262, Summer.
    8. Rachel J. Huang & Larry Y. Tzeng & Kili C. Wang, 2014. "Heterogeneity of the Accident Externality from Driving," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 81(4), pages 735-756, December.
    9. Dionne, Georges & Gagne, Robert, 2002. "Replacement Cost Endorsement and Opportunistic Fraud in Automobile Insurance," Journal of Risk and Uncertainty, Springer, vol. 24(3), pages 213-230, May.
    10. Didier Richaudeau, 1999. "Automobile Insurance Contracts and Risk of Accident: An Empirical Test Using French Individual Data," The Geneva Risk and Insurance Review, Palgrave Macmillan;International Association for the Study of Insurance Economics (The Geneva Association), vol. 24(1), pages 97-114, June.
    11. Patrick L. Brockett & Linda L. Golden, 2007. "Biological and Psychobehavioral Correlates of Credit Scores and Automobile Insurance Losses: Toward an Explication of Why Credit Scoring Works," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 74(1), pages 23-63, March.
    12. Pierre-Andre Chiappori & Bernard Salanie, 2000. "Testing for Asymmetric Information in Insurance Markets," Journal of Political Economy, University of Chicago Press, vol. 108(1), pages 56-78, February.
    13. Alma Cohen, 2005. "Asymmetric Information and Learning: Evidence from the Automobile Insurance Market," The Review of Economics and Statistics, MIT Press, vol. 87(2), pages 197-207, May.
    14. Tsung-I Pao & Larry Y. Tzeng & Kili C. Wang, 2014. "Typhoons and Opportunistic Fraud: Claim Patterns of Automobile Theft Insurance in Taiwan," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 81(1), pages 91-112, March.
    15. Choo, Sangho & Mokhtarian, Patricia L., 2004. "What type of vehicle do people drive? The role of attitude and lifestyle in influencing vehicle type choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 38(3), pages 201-222, March.
    16. Henrik Andersson, 2005. "The Value of Safety as Revealed in the Swedish Car Market: An Application of the Hedonic Pricing Approach," Journal of Risk and Uncertainty, Springer, vol. 30(3), pages 211-239, May.
    17. Richard A. Derrig & Sharon Tennyson, 2011. "The Impact of Rate Regulation on Claims: Evidence From Massachusetts Automobile Insurance," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 14(2), pages 173-199, September.
    18. Shyi-Tarn Bair & Rachel J. Huang & Kili C. Wang, 2012. "Can Vehicle Maintenance Records Predict Automobile Accidents?," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 79(2), pages 567-584, June.
    19. Erdem, Cumhur & Sentürk, Ismail & Simsek, Türker, 2010. "Identifying the factors affecting the willingness to pay for fuel-efficient vehicles in Turkey: A case of hybrids," Energy Policy, Elsevier, vol. 38(6), pages 3038-3043, June.
    20. Jennifer L. Wang, 2004. "Asymmetric Information Problems in Taiwan's Automobile Insurance Market: The Effect of Policy Design on Loss Characteristics," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 7(1), pages 53-71, March.
    21. 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.
    22. Georges Dionne & Christian Gourieroux & Charles Vanasse, 2001. "Testing for Evidence of Adverse Selection in the Automobile Insurance Market: A Comment," Journal of Political Economy, University of Chicago Press, vol. 109(2), pages 444-473, April.
    23. Kuniyoshi Saito, 2006. "Testing for Asymmetric Information in the Automobile Insurance Market Under Rate Regulation," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 73(2), pages 335-356, June.
    24. Jennifer L. Wang & Ching‐Fan Chung & Larry Y. Tzeng, 2008. "An Empirical Analysis of the Effects of Increasing Deductibles on Moral Hazard," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 75(3), pages 551-566, September.
    25. Chu-Shiu Li & Chwen-Chi Liu & Sheng-Chang Peng, 2013. "Expiration Dates in Automobile Insurance Contracts: The Curious Case of Last Policy Month Claims in Taiwan," The Geneva Risk and Insurance Review, Palgrave Macmillan;International Association for the Study of Insurance Economics (The Geneva Association), vol. 38(1), pages 23-47, March.
    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. Alfredo J. Ramírez-Díaz & Francisco J. Ramos-Real & María Gracia Rodríguez-Brito & María Carolina Rodríguez-Donate & Andrés Lorente de las Casas, 2022. "Determining Factors of Consumers’ Choice of Sport Utility Vehicles in an Isolated Energy System: How Can We Contribute to the Decarbonization of the Economy?," Energies, MDPI, vol. 15(17), pages 1-21, September.

    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. Hyojoung Kim & Doyoung Kim & Subin Im & James W. Hardin, 2009. "Evidence of Asymmetric Information in the Automobile Insurance Market: Dichotomous Versus Multinomial Measurement of Insurance Coverage," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 76(2), pages 343-366, June.
    2. 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.
    3. Dionne, Georges & Michaud, Pierre-Carl & Pinquet, Jean, 2013. "A review of recent theoretical and empirical analyses of asymmetric information in road safety and automobile insurance," Research in Transportation Economics, Elsevier, vol. 43(1), pages 85-97.
    4. Alma Cohen & Peter Siegelman, 2010. "Testing for Adverse Selection in Insurance Markets," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 77(1), pages 39-84, March.
    5. Shi, Peng & Valdez, Emiliano A., 2011. "A copula approach to test asymmetric information with applications to predictive modeling," Insurance: Mathematics and Economics, Elsevier, vol. 49(2), pages 226-239, September.
    6. Ciprian MatiÅŸ & Eugenia MatiÅŸ, 2013. "Asymmetric Information In Insurance Field: Some General Considerations," Annales Universitatis Apulensis Series Oeconomica, Faculty of Sciences, "1 Decembrie 1918" University, Alba Iulia, vol. 1(15), pages 1-17.
    7. Bo Qu & Li Wei & Ping Wei, 2018. "An Empirical Investigation of Asymmetric Information in China’s Automobile Insurance Market," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 43(3), pages 520-538, July.
    8. Alois Geyer & Daniela Kremslehner & Alexander Muermann, 2020. "Asymmetric Information in Automobile Insurance: Evidence From Driving Behavior," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 87(4), pages 969-995, December.
    9. Karl Ove Aarbu, 2017. "Asymmetric Information in the Home Insurance Market," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 84(1), pages 35-72, March.
    10. Hao Zheng & Yi Yao & Yinglu Deng & Feng Gao, 2022. "Information asymmetry, ex ante moral hazard, and uninsurable risk in liability coverage: Evidence from China's automobile insurance market," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 89(1), pages 131-160, March.
    11. Imen Karaa, 2018. "Moral Hazard and Learning in the Tunisian Automobile Insurance Market: New Evidence from Dynamic Data," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 43(3), pages 560-589, July.
    12. Kremslehner, Daniela & Muermann, Alexander, 2016. "Asymmetric information in automobile insurance: Evidence from driving behavior," CFS Working Paper Series 543, Center for Financial Studies (CFS).
    13. Feng Gao & Michael R. Powers & Jun Wang, 2017. "Decomposing Asymmetric Information in China's Automobile Insurance Market," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 84(4), pages 1269-1293, December.
    14. repec:mea:meawpa:12259 is not listed on IDEAS
    15. Hanming Fang & Michael P. Keane & Dan Silverman, 2008. "Sources of Advantageous Selection: Evidence from the Medigap Insurance Market," Journal of Political Economy, University of Chicago Press, vol. 116(2), pages 303-350, April.
    16. 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.
    17. Martin Spindler & Joachim Winter & Steffen Hagmayer, 2014. "Asymmetric Information in the Market for Automobile Insurance: Evidence From Germany," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 81(4), pages 781-801, December.
    18. Chun-Ting Liu & Jui-Yun Wu & Chi-Hung Chang, 2020. "Switching motivation and moral hazard: evidence from automobile physical damage insurance in Taiwan," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 45(2), pages 361-391, April.
    19. Georges Dionne & Pierre-Carl Michaud & Maki Dahchour, 2004. "Separating Moral Hazard from Adverse Selection in Automobile Insurance: Longitudinal Evidence from France," Cahiers de recherche 0420, CIRPEE.
    20. Georges Dionne & Casey G. Rothschild, 2011. "Risk Classification in Insurance Contracting," Cahiers de recherche 1137, CIRPEE.
    21. Dardanoni, Valentino & Li Donni, Paolo, 2012. "Incentive and selection effects of Medigap insurance on inpatient care," Journal of Health Economics, Elsevier, vol. 31(3), pages 457-470.

    More about this item

    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:bla:rmgtin:v:23:y:2020:i:4:p:331-377. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=1098-1616 .

    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.