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Testing the Null of Co-integration in the Presence of Variance Breaks

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Author Info
Giuseppe Cavaliere and A M Robert Taylor

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Abstract

We show that changes in the innovation covariance matrix of a vector of series can generate spurious rejections of the null hypothesis of co-integration when applying standard residual-based co-integration tests. A bootstrap solution to the inference problem is suggested which is shown to perform well in practice, redressing the size problems associated with the standard test but not losing power relative to the standard test under the alternative.

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Publisher Info
Paper provided by Department of Economics, University of Birmingham in its series Discussion Papers with number 05-10.

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Length: 24 pages
Date of creation: Apr 2005
Date of revision:
Handle: RePEc:bir:birmec:05-10

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Postal: Edgbaston, Birmingham, B15 2TT
Web page: http://www.economics.bham.ac.uk
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Related research
Keywords: Co-integration tests; variance shifts; fixed regressor bootstrap;

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Find related papers by JEL classification:
C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions
C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation and Testing

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  1. Giuseppe Cavaliere & Anders Rahbek & A. M. Robert Taylor, 2008. "Testing for Co-integration in Vector Autoregressions with Non-Stationary Volatility," Discussion Papers 08-34, University of Copenhagen. Department of Economics. [Downloadable!]
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This page was last updated on 2009-11-19.


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