IDEAS home Printed from https://ideas.repec.org/p/hal/journl/halshs-00270417.html

Long-run Strong-exogeneity

Author

Listed:
  • Christophe Rault

    (LEO - Laboratoire d'économie d'Orleans [2008-2011] - UO - Université d'Orléans - CNRS - Centre National de la Recherche Scientifique)

Abstract

This note supplements the paper by Pradel and Rault (2003) "Exogeneity in VAR-ECM models with purely exogenous long-run paths", Oxford Bulletin of Economics and Statistics. In particuliar, we propose a condition to distinguish between cointegration amongst "endogenous" and "exogenous" variables and also between cointegrating vectors appearing in the equations of the "endogenous" and "exogenous" variables, i.e in the conditional and marginal models. This condition that we call "long-run strong-exogeneity" has a practical appealing aspect since it permits valid long-run forecasts from the conditional model alone.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Christophe Rault, 2008. "Long-run Strong-exogeneity," Post-Print halshs-00270417, HAL.
    • Handle: RePEc:hal:journl:halshs-00270417
    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
    for a similarly titled item that would be available.

    Other versions of this item:

    Citations

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


    Cited by:

    1. Anna Pajor, 2011. "A Bayesian Analysis of Exogeneity in Models with Latent Variables," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 3(2), pages 49-73, June.
    2. Cengiz Arikan & Yeliz Yalcin, 2013. "Determining the Exogeneity of Tax Components with Respect to GDP," International Journal of Academic Research in Accounting, Finance and Management Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Accounting, Finance and Management Sciences, vol. 3(3), pages 242-255, July.

    More about this item

    Keywords

    ;
    ;

    JEL classification:

    • C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables

    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:halshs-00270417. 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.