Tests for Long-Run Granger Non-Causality in Cointegrated Systems
In this article, we propose a new approach to test the hypothesis of long-run Granger non-causality in cointegrated systems. We circumvent the problem of singularity of the covariance matrix associated with the usual Wald-type test by proposing a generalized inverse procedure. A test for the ranks of submatrices of the cointegration matrix and its orthogonal matrix plays a vital role in our procedure. The relevant small-sample experiments indicate that the proposed method performs reasonably well in finite samples. As empirical applications, we examine long-run causal relations among long-term interest rates of three nations. Copyright 2006 The Authors Journal compilation 2006 Blackwell Publishing Ltd.
Year of publication: |
2006
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Authors: | Yamamoto, Taku ; Kurozumi, Eiji |
Published in: |
Journal of Time Series Analysis. - Wiley Blackwell, ISSN 0143-9782. - Vol. 27.2006, 5, p. 703-723
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Publisher: |
Wiley Blackwell |
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