IDEAS home Printed from https://ideas.repec.org/p/ags/nddsps/23662.html
   My bibliography  Save this paper

Efficient Quantitative Risk Assessment Of Jump Processes: Implications For Food Safety

Author

Listed:
  • Nganje, William E.

Abstract

This paper develops a dynamic framework for efficient quantitative risk assessment from the simplest general risk, combining three parameters (contamination, exposure, and dose response) in a Kataoka safety-first model and a Poisson probability representing the uncertainty effect or jump processes associated with food safety. Analysis indicates that incorporating jump processes in food safety risk assessment provides more efficient cost/risk tradeoffs. Nevertheless, increased margin of safety may lead to reduction in food safety expenses on areas that have relative advantage in reducing mean risk. The paper also develops an alternative measure for the value of risk reduction associated with uncertainty of jump processes and the cost of food safety.

Suggested Citation

  • Nganje, William E., 1999. "Efficient Quantitative Risk Assessment Of Jump Processes: Implications For Food Safety," Staff Papers 23662, North Dakota State University, Department of Agribusiness and Applied Economics.
    • Handle: RePEc:ags:nddsps:23662
    DOI: 10.22004/ag.econ.23662
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/23662/files/ae99006.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.23662?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
    ---><---

    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:ags:nddsps:23662. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/dandsus.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.