IDEAS home Printed from https://ideas.repec.org/a/bla/jrinsu/v82y2015i4p865-889.html
   My bibliography  Save this article

Do the Better Insured Cause More Damage? Testing for Asymmetric Information in Car Insurance

Author

Listed:
  • Tibor Zavadil

Abstract

type="main" xml:lang="en"> This article tests for the presence of asymmetric information in Dutch car insurance among senior drivers using several nonparametric tests based on conditional-correlation approach. Since asymmetric information implies that more comprehensive coverage is associated with higher risk, we examine whether the better insured have a higher frequency of claims or cause more severe accidents. Using data on claim occurrences, incurred losses and written premiums, and controlling for the insureds’ experience rating, we do not find any evidence of asymmetric information in this market.

Suggested Citation

  • Tibor Zavadil, 2015. "Do the Better Insured Cause More Damage? Testing for Asymmetric Information in Car Insurance," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 82(4), pages 865-889, December.
    • Handle: RePEc:bla:jrinsu:v:82:y:2015:i:4:p:865-889
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

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

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    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. Georges Dionne & Ying Liu, 2021. "Effects of Insurance Incentives on Road Safety: Evidence from a Natural Experiment in China," Scandinavian Journal of Economics, Wiley Blackwell, vol. 123(2), pages 453-477, April.
    3. 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.
    4. Renate Lange & Jörg Schiller & Petra Steinorth, 2015. "Demand and Selection Effects in Supplemental Health Insurance in Germany," SOEPpapers on Multidisciplinary Panel Data Research 757, DIW Berlin, The German Socio-Economic Panel (SOEP).
    5. 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.
    6. David Rowell & Son Nghiem & Luke B Connelly, 2017. "Two Tests for Ex Ante Moral Hazard in a Market for Automobile Insurance," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 84(4), pages 1103-1126, December.
    7. 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.

    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:jrinsu:v:82:y:2015:i:4:p:865-889. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: https://edirc.repec.org/data/ariaaea.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.