IDEAS home Printed from https://ideas.repec.org/p/hhs/nhhfms/2024_007.html
   My bibliography  Save this paper

Joint Forecasting of Salmon Lice and Treatment Interventions in Aquaculture Operations

Author

Listed:
  • Narum, Benjamin S.

    (Dept. of Business and Management Science, Norwegian School of Economics)

  • Berentsen, Geir D.

    (Dept. of Business and Management Science, Norwegian School of Economics)

Abstract

The need for joint forecasting of parasitic lice and associated preventative treatments stems from large monetary losses associated with such treatments, and the distribution of potential future treatments can be used in operational planning to hedge their associated risk. We present a spatio-temporal forecasting model that accounts for the joint dynamics between lice and treatments where spatial interaction between sites is derived from hydrodynamic transportation patterns. The model-derived forecasting distributions exhibit large heterogeneity between sites at significant levels of exposure which suggests the forecasting model can provide great value in assisting operational risk management.

Suggested Citation

  • Narum, Benjamin S. & Berentsen, Geir D., 2024. "Joint Forecasting of Salmon Lice and Treatment Interventions in Aquaculture Operations," Discussion Papers 2024/7, Norwegian School of Economics, Department of Business and Management Science.
    • Handle: RePEc:hhs:nhhfms:2024_007
    as

    Download full text from publisher

    File URL: https://hdl.handle.net/11250/3131582
    File Function: Full text
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Long-term forecasting; GARMA models; density forecasts; aquaculture; salmon lice;
    All these keywords.

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • Q22 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Fishery

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:hhs:nhhfms:2024_007. 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: Stein Fossen (email available below). General contact details of provider: https://edirc.repec.org/data/dfnhhno.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.