IDEAS home Printed from https://ideas.repec.org/a/ags/joaaec/348934.html
   My bibliography  Save this article

Comparing Carcass End-point and Profit Maximization Decision Rules Using Dynamic Nonlinear Growth Functions

Author

Listed:
  • Maples, Joshua G.
  • Coatley, Kalyn T.
  • Riley, John M.
  • Karisch, Brandi B.
  • Parish, Jane A.
  • Vann, Rhonda C.

Abstract

This article develops a market timing decision rule for cattle feeders based on profit maximization. We then compare it with the “status quo” strategy of feeding cattle to a targeted carcass end point. We estimate individual nonlinear dynamic growth functions to derive each animal's value of the marginal product in relation to days on feed. Given individual marginal factor costs, our results indicate that the use of a profit maximization rule could have increased average profits by $16.56 to $21.09 per head for the cattle of known age, and $7.67 to $11.32 per head if age was unknown.

Suggested Citation

  • Maples, Joshua G. & Coatley, Kalyn T. & Riley, John M. & Karisch, Brandi B. & Parish, Jane A. & Vann, Rhonda C., 2015. "Comparing Carcass End-point and Profit Maximization Decision Rules Using Dynamic Nonlinear Growth Functions," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 47(1), January.
    • Handle: RePEc:ags:joaaec:348934
    DOI: 10.22004/ag.econ.348934
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/348934/files/47_1_pgs1-25.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.348934?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
    ---><---

    More about this item

    Keywords

    Livestock Production/Industries;

    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:ags:joaaec:348934. 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/saeaaea.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.