IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-02659609.html
   My bibliography  Save this paper

Capturing structural changes in French meat and fish demand over the period 1991-2002
[Détection des changements structurels dans la demande de viande et de poisson français au cours de la période 1991-2002]

Author

Listed:
  • Olivier Allais

    (CORELA - Laboratoire de Recherche sur la Consommation - INRA - Institut National de la Recherche Agronomique)

  • Véronique Nichèle

    (CORELA - Laboratoire de Recherche sur la Consommation - INRA - Institut National de la Recherche Agronomique)

Abstract

A time-varying coefficient demand system, the Markov switching almost ideal demand model, is proposed to shed new light on change over time in the structure of French meat and fish demand. The main feature of this model is that the switching mechanism from one structure of demand to the other is controlled by an unobserved variable that follows a Markov chain. Our model accurately captures the two Bovine Spongiform Encephalopathy (BSE) crises of recent years. We estimate that the 1996 BSE crisis lasted almost three years, whereas the second BSE crisis for just lasted five 4-week periods.

Suggested Citation

  • Olivier Allais & Véronique Nichèle, 2007. "Capturing structural changes in French meat and fish demand over the period 1991-2002 [Détection des changements structurels dans la demande de viande et de poisson français au cours de la période ," Post-Print hal-02659609, HAL.
  • Handle: RePEc:hal:journl:hal-02659609
    DOI: 10.1093/erae/jbm033
    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.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Irz, Xavier & Mazzocchi, Mario & Réquillart, Vincent & Soler, Louis-Georges, 2015. "Research in Food Economics: past trends and new challenges," Revue d'Etudes en Agriculture et Environnement, Editions NecPlus, vol. 96(01), pages 187-237, March.
    2. Libo Xu & Apostolos Serletis, 2022. "The Demand for Assets: Evidence from the Markov Switching Normalized Quadratic Model," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 54(4), pages 989-1025, June.

    More about this item

    Keywords

    DEMANDE;

    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-02659609. 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.