IDEAS home Printed from https://ideas.repec.org/a/bla/jrinsu/v79y2012i4p1077-1114.html
   My bibliography  Save this article

Testing Adverse Selection With Two-Dimensional Information: Evidence From the Singapore Auto Insurance Market

Author

Listed:
  • Peng Shi
  • Wei Zhang
  • Emiliano A. Valdez

Abstract

No abstract is available for this item.

Suggested Citation

  • 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.
  • Handle: RePEc:bla:jrinsu:v:79:y:2012:i:4:p:1077-1114
    DOI: j.1539-6975.2012.01472.x
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1111/j.1539-6975.2012.01472.x
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/j.1539-6975.2012.01472.x?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.

    Citations

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


    Cited by:

    1. Shi, Peng & Valdez, Emiliano A., 2014. "Multivariate negative binomial models for insurance claim counts," Insurance: Mathematics and Economics, Elsevier, vol. 55(C), pages 18-29.
    2. Olena SOKOLOVSKA, 2017. "Trade Credit Insurance: Theoretical Background And International Practices," Scientific Annals of Economics and Business (continues Analele Stiintifice), Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, vol. 64(1), pages 123-137, March.
    3. Hsu, Yung-Ching & Shiu, Yung-Ming & Chou, Pai-Lung & Chen, Yen-Ming J., 2015. "Vehicle insurance and the risk of road traffic accidents," Transportation Research Part A: Policy and Practice, Elsevier, vol. 74(C), pages 201-209.
    4. Peng Shi & Wei Zhang, 2016. "A Test of Asymmetric Learning in Competitive Insurance With Partial Information Sharing," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 83(3), pages 557-578, September.
    5. 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.
    6. Sokolovska Olena, 2017. "Trade Credit Insurance and Asymmetric Information Problem," Scientific Annals of Economics and Business, Sciendo, vol. 64(1), pages 123-137, March.
    7. Shi-jie Jiang & Feiyun Xiang & Iris Yang, 2023. "Effect of Prevention Focus on the Relationships Among Driving Accident History, Risk Perception, and Consumers’ Automobile Insurance Coverage Decisions," SAGE Open, , vol. 13(3), pages 21582440231, July.
    8. Shi, Peng & Feng, Xiaoping & Ivantsova, Anastasia, 2015. "Dependent frequency–severity modeling of insurance claims," Insurance: Mathematics and Economics, Elsevier, vol. 64(C), pages 417-428.
    9. Sokolovska, Olena, 2016. "Trade credit insurance: theoretical background and some international practices," MPRA Paper 74303, University Library of Munich, Germany, revised Aug 2016.
    10. 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.
    11. Cheung, Ka Chun & Phillip Yam, Sheung Chi & Yuen, Fei Lung & Zhang, Yiying, 2020. "Concave distortion risk minimizing reinsurance design under adverse selection," Insurance: Mathematics and Economics, Elsevier, vol. 91(C), pages 155-165.

    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:79:y:2012:i:4:p:1077-1114. 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.