IDEAS home Printed from https://ideas.repec.org/p/ins/quaeco/qf0106.html

LR cointegration tests when some cointegrating relations are known

Author

Listed:
  • Paruolo Paolo

    (Department of Economics, University of Insubria, Italy)

Abstract

This paper considers the asymptotic analysis of the likelihood ratio (LR), cointegration (CI) rank test in vector autoregressive models (VAR) when some CI vectors are known and fixed. It is shown that the limit law is free of nuisance parameters. In the case of LR tests against the alternative of completely unrestricted CI space, the limit law can be expressed as the convolution of known distributions. This deconvolution is employed to approximate the quantiles of the distribution, without resorting to new simulations.

Suggested Citation

  • Paruolo Paolo, "undated". "LR cointegration tests when some cointegrating relations are known," Economics and Quantitative Methods qf0106, Department of Economics, University of Insubria.
    • Handle: RePEc:ins:quaeco:qf0106
    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. Bernasconi, Michele & Kirchkamp, Oliver & Paruolo, Paolo, 2003. "Expectations and perceived causality in fiscal policy: an experimental analysis using real world data," Sonderforschungsbereich 504 Publications 03-03, Sonderforschungsbereich 504, Universität Mannheim;Sonderforschungsbereich 504, University of Mannheim.
    2. Giuseppe Cavaliere & Luca Fanelli & Paolo Paruolo, 2009. "Tests for cointegration rank and choice of the alternative," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 18(2), pages 169-191, July.
    3. Bertocco Giancarlo & Fanelli Luca & Paruolo Paolo, 2002. "On the determinants of inflation in Italy: evidence of cost-push effects before the European Monetary Union," Economics and Quantitative Methods qf0223, Department of Economics, University of Insubria.
    4. Cavaliere Giuseppe & Fanelli Luca & Paruolo Paolo, 2001. "Determining the number of cointegrating relations under rank constraints," Economics and Quantitative Methods qf0109, Department of Economics, University of Insubria.
    5. Roger Hammersland, 2004. "Large T and small N : A three-step approach to the identification of cointegrating relationships in time series models with a small cross-sectional dimension," Working Paper 2004/15, Norges Bank.
    6. Omtzigt Pieter, 2002. "Automatic identification and restriction of the cointegration space," Economics and Quantitative Methods qf0213, Department of Economics, University of Insubria.
    7. Bernasconi, Michele & Kirchkamp, Oliver & Paruolo, Paolo, 2009. "Do fiscal variables affect fiscal expectations? Experiments with real world and lab data," Journal of Economic Behavior & Organization, Elsevier, vol. 70(1-2), pages 253-265, May.

    More about this item

    Keywords

    ;
    ;
    ;

    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:ins:quaeco:qf0106. 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: Segreteria Dipartimento (email available below). General contact details of provider: https://edirc.repec.org/data/feinsit.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.