IDEAS home Printed from https://ideas.repec.org/a/cup/astinb/v46y2016i02p265-291_00.html
   My bibliography  Save this article

Insurance Loss Coverage Under Restricted Risk Classification: The Case Of Iso-Elastic Demand

Author

Listed:
  • Hao, MingJie
  • Macdonald, Angus S.
  • Tapadar, Pradip
  • Thomas, R. Guy

Abstract

This paper investigates equilibrium in an insurance market where risk classification is restricted. Insurance demand is characterised by an iso-elastic function with a single elasticity parameter. We characterise the equilibrium by three quantities: equilibrium premium; level of adverse selection (in the economist's sense); and “loss coverage”, defined as the expected population losses compensated by insurance. We consider both equal elasticities for high and low risk-groups, and then different elasticities. In the equal elasticities case, adverse selection is always higher under pooling than under risk-differentiated premiums, while loss coverage first increases and then decreases with demand elasticity. We argue that loss coverage represents the efficacy of insurance for the whole population; and therefore that if demand elasticity is sufficiently low, adverse selection is not always a bad thing.

Suggested Citation

  • Hao, MingJie & Macdonald, Angus S. & Tapadar, Pradip & Thomas, R. Guy, 2016. "Insurance Loss Coverage Under Restricted Risk Classification: The Case Of Iso-Elastic Demand," ASTIN Bulletin, Cambridge University Press, vol. 46(2), pages 265-291, May.
  • Handle: RePEc:cup:astinb:v:46:y:2016:i:02:p:265-291_00
    as

    Download full text from publisher

    File URL: https://www.cambridge.org/core/product/identifier/S0515036116000064/type/journal_article
    File Function: link to article abstract page
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Chatterjee, Indradeb & Hao, MingJie & Tapadar, Pradip & Thomas, R. Guy, 2024. "Can price collars increase insurance loss coverage?," Insurance: Mathematics and Economics, Elsevier, vol. 116(C), pages 74-94.
    2. Zhang, Bangbang & Li, Jiaxiang & Tian, Wenmiao & Chen, Haibin & Kong, Xiangbin & Chen, Wei & Zhao, Minjuan & Xia, Xianli, 2020. "Spatio-temporal variances and risk evaluation of land finance in China at the provincial level from 1998 to 2017," Land Use Policy, Elsevier, vol. 99(C).
    3. Hao, MingJie & Macdonald, Angus S. & Tapadar, Pradip & Thomas, R. Guy, 2018. "Insurance loss coverage and demand elasticities," Insurance: Mathematics and Economics, Elsevier, vol. 79(C), pages 15-25.

    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:cup:astinb:v:46:y:2016:i:02:p:265-291_00. 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: Kirk Stebbing (email available below). General contact details of provider: https://www.cambridge.org/asb .

    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.