IDEAS home Printed from https://ideas.repec.org/a/bla/jageco/v54y2003i3p487-497.html
   My bibliography  Save this article

An Old Problem Revisited—and Solved: Upton and Dalton's Linear Production Response: A Note

Author

Listed:
  • Garth Holloway

Abstract

This note presents a robust method for estimating response surfaces that consist of linear response regimes and a linear plateau. The linear response‐and‐plateau model has fascinated production scientists since von Liebig (1855) and, as Upton and Dalton indicated, some years ago in this Journal the response‐and‐plateau model seems to fit the data in many empirical studies. The estimation algorithm evolves from Bayesian implementation of a switching‐regression (finite mixtures) model and demonstrates routine application of Gibbs sampling and data augmentation—techniques that are now in widespread application in other disciplines.

Suggested Citation

  • Garth Holloway, 2003. "An Old Problem Revisited—and Solved: Upton and Dalton's Linear Production Response: A Note," Journal of Agricultural Economics, Wiley Blackwell, vol. 54(3), pages 487-497, November.
  • Handle: RePEc:bla:jageco:v:54:y:2003:i:3:p:487-497
    DOI: 10.1111/j.1477-9552.2003.tb00074.x
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/j.1477-9552.2003.tb00074.x
    Download Restriction: no

    File URL: https://libkey.io/10.1111/j.1477-9552.2003.tb00074.x?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
    ---><---

    Citations

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


    Cited by:

    1. Humblot, Pierre & Jayet, Pierre-Alain & Petsakos, Athanasios, 2017. "Farm-level bio-economic modeling of water and nitrogen use: Calibrating yield response functions with limited data," Agricultural Systems, Elsevier, vol. 151(C), pages 47-60.
    2. Klaus Moeltner & A. Ford Ramsey & Clinton L. Neill, 2021. "Bayesian Kinked Regression with Unobserved Thresholds: An Application to the von Liebig Hypothesis," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(5), pages 1832-1856, October.
    3. Ajay Philip & Rahul R. Marathe, 2022. "A New Green Labeling Scheme for Agri-Food Supply Chains: Equilibrium and Information Sharing under Uncertainties," Sustainability, MDPI, vol. 14(23), pages 1-34, November.
    4. Brorsen, B. Wade, 2013. "Using Bayesian Estimation and Decision Theory to Determine the Optimal Level of Nitrogen in Cotton," 2013 Annual Meeting, February 2-5, 2013, Orlando, Florida 142951, Southern Agricultural 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:jageco:v:54:y:2003:i:3:p:487-497. 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: http://www.blackwellpublishing.com/journal.asp?ref=0021-857X .

    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.