IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-03339092.html
   My bibliography  Save this paper

Variable Input Allocation Among Crops: A Random Parameter Approach With Stochastic Constraints Using SAEM Algorithm

Author

Listed:
  • Obafemi Philippe Koutchade

    (SMART-LERECO - Structures et Marché Agricoles, Ressources et Territoires - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement - INSTITUT AGRO Agrocampus Ouest - Institut Agro - Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement)

  • A. Carpentier

    (SMART-LERECO - Structures et Marché Agricoles, Ressources et Territoires - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement - INSTITUT AGRO Agrocampus Ouest - Institut Agro - Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement)

  • Fabienne Femenia

    (SMART-LERECO - Structures et Marché Agricoles, Ressources et Territoires - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement - INSTITUT AGRO Agrocampus Ouest - Institut Agro - Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement)

Abstract

We propose a new approach to estimate variable input uses allocation per crop based on aggregate input use at the farm level. Using a Random Parameter (RP) approach, we propose a model that accounts for the unobserved heterogeneity between farm. Our approach also allows accounting for the potential dependency between variable input use and acreage choice decisions. Finally, in order to guarantee that our input costs estimates lie in reasonable ranges, we introduce additional information in the estimation procedure by using stochastic constraints. This model is estimated, using an SAEM algorithm, on a French panel data sample. By comparing our estimation results to actually observed input uses per crop, we show that our model and estimation approach perform better than commonly used approach in predicting input uses allocation among crops and that introducing non-negativity constraints and additional information in the estimation procedure allows improving the predictive power of the model.

Suggested Citation

  • Obafemi Philippe Koutchade & A. Carpentier & Fabienne Femenia, 2021. "Variable Input Allocation Among Crops: A Random Parameter Approach With Stochastic Constraints Using SAEM Algorithm," Post-Print hal-03339092, HAL.
    • Handle: RePEc:hal:journl:hal-03339092
    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.

    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-03339092. 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.