IDEAS home Printed from https://ideas.repec.org/p/ecl/wisagr/545.html
   My bibliography  Save this paper

A Semi-parametric Analysis of Technology, with an Application to U.S. Dairy Farms

Author

Listed:
  • de los Campos, Gustavos

    (University of Alabama, Birmingham)

  • Foltz, Jeremy

    (University of Wisconsin)

  • Chavas, Jean-Paul

    (University of Wisconsin)

  • Gianola, Daniel

    (University of Wisconsin)

Abstract

This article proposes a semi-parametric stochastic frontier model (SPSF) in which components of the technology and of technical efficiency are represented using semi-parametric methods and estimated in a Bayesian framework. The approach is illustrated in an application to US farm data. The analysis shows important scale economies for small and medium herds and constant return to scale for larger herds. With the exception of labor, estimates of marginal products were close to the value expected under profit maximization. Finally, the results suggest important opportunities to increase productivity through reductions in technical inefficiencies.

Suggested Citation

  • de los Campos, Gustavos & Foltz, Jeremy & Chavas, Jean-Paul & Gianola, Daniel, 2010. "A Semi-parametric Analysis of Technology, with an Application to U.S. Dairy Farms," Staff Paper Series 545, University of Wisconsin, Agricultural and Applied Economics.
  • Handle: RePEc:ecl:wisagr:545
    as

    Download full text from publisher

    File URL: http://www.aae.wisc.edu/pubs/sps/pdf/stpap545.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    More about this item

    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:ecl:wisagr:545. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/dauwius.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.