IDEAS home Printed from
   My bibliography  Save this paper

Estimating input allocation for farm supply models


  • Gocht, Alexander


When building an economic model for supply analysis the aim is to model a decision making process of one or more agents which fits the observed practice as good as possible. Hereby the modeller is often confronted with incomplete information about the production process; particular crop specific input data are rarely available. The problem of defining activity related technology inputs coefficients is not new. A good deal of literature comes from the mathematical programming perspective, where input coefficients were estimated using a standard linear regression function to fully represent the mathematical program. However this approach is a pure technical device and may result in an inconsistent model. The author of the paper wants to investigate whether it is possible, employing proper estimation techniques, to simultaneously estimate all unknown coefficients of a mathematical farm supply model. This includes the estimation of parameters of the non linear cost function, used to calibrate and catch the simulation behaviour and the crop specific input coefficients. It is shown that a simultaneous estimation of all parameters improves the goodness of fit of the estimated parameters and that such an approach is technically feasible.

Suggested Citation

  • Gocht, Alexander, 2008. "Estimating input allocation for farm supply models," 107th Seminar, January 30-February 1, 2008, Sevilla, Spain 6469, European Association of Agricultural Economists.
  • Handle: RePEc:ags:eaa107:6469

    Download full text from publisher

    File URL:
    Download Restriction: no

    References listed on IDEAS

    1. Jeroen Buysse & Bruno Fernagut & Olivier Harmignie & Bruno Henry de Frahan & Ludwig Lauwers & Philippe Polomé & Guido Van Huylenbroeck & Jef Van Meensel, 2007. "Farm-based modelling of the EU sugar reform: impact on Belgian sugar beet suppliers," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 34(1), pages 21-52, March.
    2. Shumway, C. Richard, 1995. "Recent Duality Contributions In Production Economics," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 20(01), July.
    3. Lence, Sergio H & Miller, Douglas J, 1998. "Estimation of Multi-output Production Functions with Incomplete Data: A Generalised Maximum Entropy Approach," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 25(2), pages 188-209.
    4. C. Richard Shumway & Rulon D. Pope & Elizabeth K. Nash, 1984. "Allocatable Fixed Inputs and Jointness in Agricultural Production: Implications for Economic Modeling," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 66(1), pages 72-78.
    5. Asunka, Samuel & Shumway, C. Richard, 1996. "Allocatable Fixed Inputs And Jointness In Agricultural Production: More Implications," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 25(2), October.
    6. Ron C. Mittelhammer & Scott C. Matulich & D. Bushaw, 1981. "On Implicit Forms of Multiproduct-Multifactor Production Functions," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 63(1), pages 164-168.
    7. Guyomard, Herve & Baudry, Marc & Carpentier, Alain, 1996. "Estimating Crop Supply Response in the Presence of Farm Programmes: Application to the CAP," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 23(4), pages 401-420.
    8. P. Midmore, 1990. "Estimating Input-Output Coefficients From Regional Farm Data-A Comment," Journal of Agricultural Economics, Wiley Blackwell, vol. 41(1), pages 108-111.
    9. Hasenkamp, Georg, 1976. "A study of multiple-output production functions : Klein's railroad study revisited," Journal of Econometrics, Elsevier, vol. 4(3), pages 253-262, August.
    10. Yves Léony & Ludo Peeters & Maurice Quinqu & Yves Surry, 1999. "The Use of Maximum Entropy to Estimate Input-Output Coefficients From Regional Farm Accounting Data," Journal of Agricultural Economics, Wiley Blackwell, vol. 50(3), pages 425-439.
    11. A. Moxey & R. Tiffin, 1994. "Estimating Linear Production Coefficients From Farm Business Survey Data: A Note," Journal of Agricultural Economics, Wiley Blackwell, vol. 45(3), pages 381-385.
    Full references (including those not matched with items on IDEAS)

    More about this item


    farm supply model; input allocation; entropy; HDP; Research Methods/ Statistical Methods;

    NEP fields

    This paper has been announced in the following NEP Reports:


    Access and download statistics


    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:eaa107:6469. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (AgEcon Search). General contact details of provider: .

    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.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.