IDEAS home Printed from https://ideas.repec.org/p/ags/eaae11/114712.html
   My bibliography  Save this paper

Influence of aggregation level on yield risk measures

Author

Listed:
  • Kobus, Pawel

Abstract

The paper is dedicated to the relationship of data aggregation level and yield variability. For that purpose yields of the major crop plants in Poland are analysed i.e.: winter wheat, triticale, rye, barley, oat, mixed cereals, rape and sugar beet. The research are based on data from Polish FADN from years 2004 – 2009. The samples’ size ranged from 531 to 2893, depending on the plant crop. In the paper six levels of data aggregation are examined, that is: farm, district, powiat1, voivodship, region and country. It was found out that the degree of yield variability reduction (observed with data aggregation) is crop specific. Nevertheless, the relationship between aggregation level and yield variability can be approximated by the same formula for all of the investigated crop plants: ... , where MUA is the average production area in the administrative unite.

Suggested Citation

  • Kobus, Pawel, 2011. "Influence of aggregation level on yield risk measures," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114712, European Association of Agricultural Economists.
  • Handle: RePEc:ags:eaae11:114712
    as

    Download full text from publisher

    File URL: http://purl.umn.edu/114712
    Download Restriction: no

    More about this item

    Keywords

    yield risk; aggregation level; Risk and Uncertainty;

    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:ags:eaae11:114712. 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: http://edirc.repec.org/data/eaaeeea.html .

    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 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.

    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.