[go: up one dir, main page]
More Web Proxy on the site http://driver.im/
IDEAS home Printed from https://ideas.repec.org/a/eee/pacfin/v84y2024ics0927538x24000301.html
   My bibliography  Save this article

Bundled insurance coverage and asymmetric information: Claim patterns of automobile theft insurance in Taiwan

Author

Listed:
  • Peng, Sheng-Chang
  • Li, Chu-Shiu
Abstract
In the presence of moral hazard, automobile theft insurance claims may be fabricated to compensate for losses incurred during traffic accidents. Using a unique national dataset, we compare the claim probabilities for automobile theft insurance among policyholders with bundled automobile insurance coverage (both automobile theft insurance and automobile physical damage insurance) and policyholders with only automobile theft coverage. We find that policyholders with only automobile theft coverage have a significantly higher claim probability than those with bundled coverage. In addition, we find that automobile theft insurance with (without) stolen parts endorsement is associated with higher claim probabilities for total and partial losses (only total losses). We further investigate the effects of car brands and show that Mazda, BMW, and Toyota are associated with significantly higher claim probabilities for both total and partial losses among policyholders with only automobile theft insurance. The results of this study point to a crucial policy implication for insurers. When determining the rating structure of discrimination premium setting, they should consider whether policyholders have bundled insurance policies or not, in addition to car brands.

Suggested Citation

  • Peng, Sheng-Chang & Li, Chu-Shiu, 2024. "Bundled insurance coverage and asymmetric information: Claim patterns of automobile theft insurance in Taiwan," Pacific-Basin Finance Journal, Elsevier, vol. 84(C).
    • Handle: RePEc:eee:pacfin:v:84:y:2024:i:c:s0927538x24000301
    DOI: 10.1016/j.pacfin.2024.102279
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0927538X24000301
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.pacfin.2024.102279?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. Rejesus, Roderick M. & Little, Bertis B. & Lovell, Ashley C. & Cross, Mike H. & Shucking, Michael, 2004. "Patterns of Collusion in the U.S. Crop Insurance Program: An Empirical Analysis," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 36(2), pages 1-17, August.
    5. Georges Dionne & Kili Wang, 2013. "Does insurance fraud in automobile theft insurance fluctuate with the business cycle?," Journal of Risk and Uncertainty, Springer, vol. 47(1), pages 67-92, August.
    6. 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.
    7. David C. Webb, 2009. "Asymmetric Information, Long‐Term Care Insurance, and Annuities: The Case for Bundled Contracts," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 76(1), pages 53-85, March.
    8. 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.
    9. 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.
    10. Maarten C. W. Janssen & Vladimir A. Karamychev, 2008. "On Bundling in Insurance Markets," Vienna Economics Papers 0809, University of Vienna, Department of Economics.
    11. Peng Shi & Wei Zhang & Emiliano A. Valdez, 2012. "Testing Adverse Selection With Two-Dimensional Information: Evidence From the Singapore Auto Insurance Market," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 79(4), pages 1077-1114, December.
    12. 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.
    13. repec:hal:journl:hal-00366079 is not listed on IDEAS
    14. 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.
    15. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    16. Bourgeon, Jean-Marc & Picard, Pierre & Pouyet, Jerome, 2008. "Providers' affiliation, insurance and collusion," Journal of Banking & Finance, Elsevier, vol. 32(1), pages 170-186, January.
    17. Keith J. Crocker & Arthur Snow, 2011. "Multidimensional Screening in Insurance Markets with Adverse Selection," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 78(2), pages 287-307, June.
    18. Amy Finkelstein & James Poterba, 2004. "Adverse Selection in Insurance Markets: Policyholder Evidence from the U.K. Annuity Market," Journal of Political Economy, University of Chicago Press, vol. 112(1), pages 183-208, February.
    19. 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.
    20. Maarten C. W. Janssen & Vladimir A. Karamychev, 2008. "On Bundling in Insurance Markets," Vienna Economics Papers vie0809, University of Vienna, Department of Economics.
    21. 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.
    22. Michael Rothschild & Joseph Stiglitz, 1976. "Equilibrium in Competitive Insurance Markets: An Essay on the Economics of Imperfect Information," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 90(4), pages 629-649.
    23. 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.
    24. 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.
    Full references (including those not matched with items on IDEAS)

    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. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. Sebastian Soika, 2018. "Moral Hazard and Advantageous Selection in Private Disability Insurance," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 43(1), pages 97-125, January.
    7. 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.
    8. 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.
    9. Georges Dionne & Nathalie Fombaron & Neil Doherty, 2012. "Adverse Selection in Insurance Contracting," Cahiers de recherche 1231, CIRPEE.
    10. Kremslehner, Daniela & Muermann, Alexander, 2016. "Asymmetric information in automobile insurance: Evidence from driving behavior," CFS Working Paper Series 543, Center for Financial Studies (CFS).
    11. Casper H. de Jong, 2021. "Risk classification and the balance of information in insurance; an alternative interpretation of the evidence," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 24(4), pages 445-461, December.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. Dionne, Georges & Harrington, Scott, 2017. "Insurance and Insurance Markets," Working Papers 17-2, HEC Montreal, Canada Research Chair in Risk Management.
    17. Renate Lange & Jörg Schiller & Petra Steinorth, 2017. "Demand and Selection Effects in Supplemental Health Insurance in Germany," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 42(1), pages 5-30, January.
    18. Dionne, Georges & Fombaron, Nathalie & Mimra, Wanda, 2023. "Adverse selection in insurance," Working Papers 23-5, HEC Montreal, Canada Research Chair in Risk Management.
    19. Daniel Bauer & Jochen Russ & Nan Zhu, 2020. "Asymmetric information in secondary insurance markets: Evidence from the life settlements market," Quantitative Economics, Econometric Society, vol. 11(3), pages 1143-1175, July.
    20. Alma Cohen & Liran Einav, 2007. "Estimating Risk Preferences from Deductible Choice," American Economic Review, American Economic Association, vol. 97(3), pages 745-788, June.

    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:eee:pacfin:v:84:y:2024:i:c:s0927538x24000301. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/pacfin .

    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.