IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-02735928.html
   My bibliography  Save this paper

Application of symbolic clustering to the estimation of agricultural production costs
[Application de la classification symbolique à l’estimation des coûts de production agricoles]

Author

Listed:
  • Dominique Desbois

    (ECO-PUB - Economie Publique - INRA - Institut National de la Recherche Agronomique - AgroParisTech)

Abstract

This communication analyses the similarities between distributions of conditional quantile estimates, applying it to the problem of cost allocation in agriculture. The first part presents the empirical model, the quantile regression approach and the interval data clustering technique used. The second part presents the comparative analysis of the clustering results between twelve European Member States.

Suggested Citation

  • Dominique Desbois, 2019. "Application of symbolic clustering to the estimation of agricultural production costs [Application de la classification symbolique à l’estimation des coûts de production agricoles]," Post-Print hal-02735928, HAL.
    • Handle: RePEc:hal:journl:hal-02735928
    Note: View the original document on HAL open archive server: https://hal.inrae.fr/hal-02735928
    as

    Download full text from publisher

    File URL: https://hal.inrae.fr/hal-02735928/document
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    estimation par intervalle; coût de production; classification symbolique; porc; Europe; quantile conditionnel;
    All these keywords.

    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:hal:journl:hal-02735928. 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: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    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.