IDEAS home Printed from https://ideas.repec.org/a/ucp/mresec/doi10.1086-707063.html
   My bibliography  Save this article

A Short-Run ARDL-Bounds Model for Forecasting and Simulating the Price of Lobster

Author

Listed:
  • Daniel V. Gordon

Abstract

Since the early 1990s collapse of the groundfish fishery in Canada, crustaceans (particularly lobster) have developed into important fisheries. Prices play an important role in setting income and welfare levels of fishermen, creating policy interest in good forecasts of the ex-vessel price of lobster. In this article, Pesaran’s autoregressive distributed lag/error-correction Bounds model estimates a short-run inverse demand curve for Canadian lobster. The advantage of the Pesaran model is that it is valid regardless of the stationary/probability properties of the variables in question (i.e., ~I(1), ~I(0), or fractionally integrated) and allows the short-run model to encompass long-run equilibrium constraints. The data represents monthly observations for the period 1990(1)–2016(12). The estimated model is tested and validated, and dynamic forecasts capture well turning points in the data. Monthly price forecasts for the period 2017–18 are generated under a number of alternative price policy scenarios.

Suggested Citation

  • Daniel V. Gordon, 2020. "A Short-Run ARDL-Bounds Model for Forecasting and Simulating the Price of Lobster," Marine Resource Economics, University of Chicago Press, vol. 35(1), pages 43-63.
  • Handle: RePEc:ucp:mresec:doi:10.1086/707063
    DOI: 10.1086/707063
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1086/707063
    Download Restriction: Access to the online full text or PDF requires a subscription.

    File URL: http://dx.doi.org/10.1086/707063
    Download Restriction: Access to the online full text or PDF requires a subscription.

    File URL: https://libkey.io/10.1086/707063?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

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


    Cited by:

    1. Guillotreau Patrice & Frédéric Lantz & Lesya Nadzon & Jonathan Rault & Olivier Maury, 2023. "Price Transmission between Energy and Fish Markets: Are Oil Rates Good Predictors of Tuna Prices? [Transmission des prix entre les marchés de l'énergie et du poisson : est-ce que les cours du pétro," Post-Print hal-03948692, HAL.
    2. Junhao Wu & Yuan Hu & Daqing Wu & Zhengyong Yang, 2022. "An Aquatic Product Price Forecast Model Using VMD-IBES-LSTM Hybrid Approach," Agriculture, MDPI, vol. 12(8), pages 1-26, August.
    3. Patrice Guillotreau & Frédéric Lantz & Lesya Nadzon & Jonathan Rault & Olivier Maury, 2023. "Price Transmission between Energy and Fish Markets: Are Oil Rates Good Predictors of Tuna Prices?," Marine Resource Economics, University of Chicago Press, vol. 38(1), pages 29-46.

    More about this item

    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:ucp:mresec:doi:10.1086/707063. 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: Journals Division (email available below). General contact details of provider: https://www.journals.uchicago.edu/MRE .

    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.