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The asymptotic variance of the estimated roots in a cointegrated vector autoregressive model

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  • Søren Johansen

Abstract

We show that the asymptotic distribution of the estimated stationary roots in a vector autoregressive model is Gaussian. A simple expression for the asymptotic variance in terms of the roots and the eigenvectors of the companion matrix is derived. The results are extended to the cointegrated vector autoregressive model and we discuss the implementation of the results for complex roots. Copyright 2003 Blackwell Publishing Ltd.

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Bibliographic Info

Article provided by Wiley Blackwell in its journal Journal of Time Series Analysis.

Volume (Year): 24 (2003)
Issue (Month): 6 (November)
Pages: 663-678

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Handle: RePEc:bla:jtsera:v:24:y:2003:i:6:p:663-678

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Cited by:
  1. Bent Nielsen & Heino Bohn Nielsen, 2008. "Properties of Estimated Characteristic Roots," Discussion Papers 08-13, University of Copenhagen. Department of Economics.
  2. Mauricio, Jose Alberto, 2006. "Exact maximum likelihood estimation of partially nonstationary vector ARMA models," Computational Statistics & Data Analysis, Elsevier, vol. 50(12), pages 3644-3662, August.
  3. Harald Uhlig & Alexei Onatski, 2009. "Unit Roots in White Noise," Working Papers 2009-004, Becker Friedman Institute for Research In Economics.
  4. Alain Hecq & Franz Palm & Jean-Pierre Urbain, 2002. "Separation, Weak Exogeneity, And P-T Decomposition In Cointegrated Var Systems With Common Features," Econometric Reviews, Taylor & Francis Journals, vol. 21(3), pages 273-307.

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