IDEAS home Printed from
   My bibliography  Save this paper

Analyzing the Determinants of Technical Efficiency Among Traditional Dairy Farms in Wisconsin: A Quantile Regression Approach


  • Chidmi, Benaissa
  • Solis, Daniel
  • Funtanilla, Margil
  • Cabrera, Victor E.


This study analyzes the determinants of TE among traditional dairy farms in the State of Wisconsin taking into account dairy farms’ heterogeneity. To do so, we first estimate a production frontier and the level of TE using the SPF framework. Then we analyze the determinants of TI using a quantile regression analysis. The results indicate that the determinants of TE affect in very specific ways farmers with different levels of TE. This result confirms our hypothesis on the importance of controlling for farm heterogeneity when analyzing the determinants of TE. This issue is also important from an empirical point of view. Policy makers could improve the effectiveness of their work by targeting specific agricultural services and aid designed for farmers with different level of TE.

Suggested Citation

  • Chidmi, Benaissa & Solis, Daniel & Funtanilla, Margil & Cabrera, Victor E., 2010. "Analyzing the Determinants of Technical Efficiency Among Traditional Dairy Farms in Wisconsin: A Quantile Regression Approach," 2010 Annual Meeting, July 25-27, 2010, Denver, Colorado 61320, Agricultural and Applied Economics Association.
  • Handle: RePEc:ags:aaea10:61320

    Download full text from publisher

    File URL:
    Download Restriction: no

    References listed on IDEAS

    1. Boris E. Bravo-Ureta & Daniel Solís & Horacio Cocchi & Ricardo E. Quiroga, 2006. "The impact of soil conservation and output diversification on farm income in Central American hillside farming," Agricultural Economics, International Association of Agricultural Economists, vol. 35(3), pages 267-276, November.
    Full references (including those not matched with items on IDEAS)


    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:aaea10:61320. 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.