IDEAS home Printed from https://ideas.repec.org/p/eui/euiwps/eco2004-12.html
   My bibliography  Save this paper

Recent Advances in Cointegration Analysis

Author

Listed:
  • Helmut LÜTKEPOHL

Abstract

A small system of German economic variables consisting of the money stock M3, Gross National Product (GNP) and a bond rate is used to illustrate the power of cointegration analysis and the usefulness of some recently developed tools for this kind of analysis. Testing for the cointegrating rank and specifying a VECM, estimating the cointegrating relations and other parameters as well as model checking are discussed. The estimated model is analyzed with an impulse response analysis and a forecast error variance decomposition is performed. A quite reasonable long-run money demand relation is found.

Suggested Citation

  • Helmut LÜTKEPOHL, 2004. "Recent Advances in Cointegration Analysis," Economics Working Papers ECO2004/12, European University Institute.
    • Handle: RePEc:eui:euiwps:eco2004/12
    as

    Download full text from publisher

    File URL: http://www.iue.it/PUB/ECO2004-12.pdf
    File Function: main text
    Download Restriction: no
    ---><---

    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. Leitao, Joao & Armada, Manuel Rocha & Ferreira, Joaaquim, 2012. "Corruption and Co-Movements in European Listed Sport Companies: Did Calciocaos really matter?," MPRA Paper 42474, University Library of Munich, Germany.
    2. Cain, P.M., 2022. "Modelling short-and long-term marketing effects in the consumer purchase journey," International Journal of Research in Marketing, Elsevier, vol. 39(1), pages 96-116.
    3. Floriana Florestano, 2013. "Hydrocarbon exploitation and macroeconomic performance: a structural var approach for Basilicata1," ECONOMICS AND POLICY OF ENERGY AND THE ENVIRONMENT, FrancoAngeli Editore, vol. 2013(1), pages 147-174.

    More about this item

    Keywords

    cointegration; German monetary system; vector error correction 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:eui:euiwps:eco2004/12. 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: Cécile Brière (email available below). General contact details of provider: https://edirc.repec.org/data/deiueit.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.