IDEAS home Printed from https://ideas.repec.org/p/qed/wpaper/1237.html
   My bibliography  Save this paper

Likelihood Inference For A Fractionally Cointegrated Vector Autoregressive Model

Author

Listed:
  • Morten Ø. Nielsen

    (Queen's University and CREATES)

  • S Johansen

    (University of Copenhagen and CREATES)

Abstract

We consider model based inference in a fractionally cointegrated (or cofractional) vector autoregressive model, based on the Gaussian likelihood conditional on initial values. We give conditions on the parameters such that the process X_{t} is fractional of order d and cofractional of order d-b; that is, there exist vectors ? for which ??X_{t} is fractional of order d-b, and no other fractionality order is possible. For b=1, the model nests the I(d-1) VAR model. We define the statistical model by 0

Suggested Citation

  • Morten Ø. Nielsen & S Johansen, 2010. "Likelihood Inference For A Fractionally Cointegrated Vector Autoregressive Model," Working Paper 1237, Economics Department, Queen's University.
    • Handle: RePEc:qed:wpaper:1237
    as

    Download full text from publisher

    File URL: https://www.econ.queensu.ca/sites/econ.queensu.ca/files/wpaper/qed_wp_1237.pdf
    File Function: First version 2010
    Download Restriction: no
    ---><---

    Other versions of this item:

    More about this item

    Keywords

    Cofractional processes; cointegration rank; fractional cointegration; likelihood inferencw; vector autoregressive model;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models

    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:qed:wpaper:1237. 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: Mark Babcock (email available below). General contact details of provider: https://edirc.repec.org/data/qedquca.html .

    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.