IDEAS home Printed from https://ideas.repec.org/a/oup/erevae/v33y2006i4p485-510.html
   My bibliography  Save this article

Comparing risk attitudes of organic and non-organic farmers with a Bayesian random coefficient model

Author

Listed:
  • Cornelis Gardebroek

Abstract

Organic farming is usually considered to be more risky than conventional farming, but the risk aversion of organic farmers compared with that of conventional farmers has not been studied. Using a non-structural approach to risk estimation, a Bayesian random coefficient model is used to obtain individual Arrow--Pratt coefficients of absolute risk aversion for a sample of Dutch organic and non-organic arable farmers. The model is estimated using Gibbs sampling. The results indicate that organic farmers are significantly less risk averse than their non-organic colleagues. Copyright 2006, Oxford University Press.

Suggested Citation

  • Cornelis Gardebroek, 2006. "Comparing risk attitudes of organic and non-organic farmers with a Bayesian random coefficient model," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 33(4), pages 485-510, December.
    • Handle: RePEc:oup:erevae:v:33:y:2006:i:4:p:485-510
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    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:oup:erevae:v:33:y:2006:i:4:p:485-510. 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: Oxford University Press (email available below). General contact details of provider: https://edirc.repec.org/data/eaaeeea.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.