Advanced Search
MyIDEAS: Login to save this paper or follow this series

A model for prediction of spatial farm structure


Author Info

  • Hoveid, Oyvind
  • Stokstad, Grete
Registered author(s):


    Spatial micro structure and its change over time is recorded for Norwegian farm firms. Relative strong correlations between geographically close neighbors are expected, either because growing farms swallow the smaller ones, or because they are affected by some spatially related unobserved factors. Strong correlations over time are also expected because of prevalent family farming. The paper proposes a state-of-the-art Markov chain model in order to predict the spatial and temporal micro structure taking account of both non-stationarity and spatio/temporal correlations by means of techniques from non-linear state space modeling and Gaussian Markov random fields. The model and the complete data set is then a device with which one can investigate the consequences of ignoring spatial and/or temporal correlations, both with complete data and with more sparsely sampled data, like FADN panels or USDA's repeated cross-sections (ARMS).

    Download Info

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
    File URL:
    Download Restriction: no

    Bibliographic Info

    Paper provided by European Association of Agricultural Economists in its series 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland with number 114529.

    as in new window
    Date of creation: 17 Feb 2011
    Date of revision:
    Handle: RePEc:ags:eaae11:114529

    Contact details of provider:
    Web page:
    More information through EDIRC

    Related research

    Keywords: Farm Management;

    This paper has been announced in the following NEP Reports:


    No references listed on IDEAS
    You can help add them by filling out this form.



    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.


    Access and download statistics


    When requesting a correction, please mention this item's handle: RePEc:ags:eaae11:114529. 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).

    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 references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link 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 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.