IDEAS home Printed from https://ideas.repec.org/a/bla/jrinsu/v82y2015i2p341-357.html
   My bibliography  Save this article

Insurance Premium Calculation Using Credibility Analysis: An Example From Livestock Mortality Insurance

Author

Listed:
  • Jeffrey Pai
  • Milton Boyd
  • Lysa Porth

Abstract

type="main" xml:lang="en"> A major problem facing livestock producers is animal mortality risk. Livestock mortality insurance is still at the initial stages, and premium computation approaches are still relatively new and will require more research. This study seeks to provide a first step for developing a better understanding of livestock insurance as a solution to mortality risk, as it explores improved methods for livestock mortality insurance modeling procedures, and premium computation, using credibility analysis. The purpose of this study is to develop improved estimates for livestock mortality insurance premiums for Canada under a credibility framework. We illustrate our approach through one example using livestock data from 1999 to 2007.

Suggested Citation

  • Jeffrey Pai & Milton Boyd & Lysa Porth, 2015. "Insurance Premium Calculation Using Credibility Analysis: An Example From Livestock Mortality Insurance," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 82(2), pages 341-357, June.
  • Handle: RePEc:bla:jrinsu:v:82:y:2015:i:2:p:341-357
    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. Pai, Jeffrey & Ravishanker, Nalini, 2020. "Livestock mortality catastrophe insurance using fatal shock process," Insurance: Mathematics and Economics, Elsevier, vol. 90(C), pages 58-65.
    2. Rao, Xudong & Cai, Qingyin & Zhang, Yuehua, 2021. "Moral Hazard in Compulsory Insurance – Evidence from a Quasi-Experiment on Hog Insurance in China," 2021 Conference, August 17-31, 2021, Virtual 315356, International Association of Agricultural Economists.
    3. Xudong Rao & Yuehua Zhang, 2020. "Livestock insurance, moral hazard, and farmers’ decisions: a field experiment among hog farms in China," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 45(1), pages 134-156, January.
    4. Rao, Xudong & Cai, Qingyin & Zhang, Yuehua, 2023. "Moral Hazard in Agricultural Insurance – Evidence from A Non-Voluntary Sow Insurance Program in China," 2023 Annual Meeting, July 23-25, Washington D.C. 335431, Agricultural and Applied Economics Association.

    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:2:p:341-357. 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.