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The power of cointegration tests Author info | Abstract | Publisher info | Download info | Related research | Statistics Jeroen J.M. Kremers
Neil R. Ericsson
Juan J. Dolado
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A cointegration test statistic based upon estimation of an error correction model can be approximately normally distributed when no cointegration is present. By contrast, the equivalent Dickey-Fuller statistic applied to residuals from a static relationship has a non-standard asymptotic distribution. When cointegration exists, the error-correction test generally is more powerful than the Dickey-Fuller test. These differences arise because the latter imposes a possibly invalid common factor restriction. The issue is general and has ramifications for system-based cointegration tests. Monte Carlo analysis and an empirical study of U.K. money demand demonstrate the differences in power.
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Paper provided by Board of Governors of the Federal Reserve System (U.S.) in its series International Finance Discussion Papers with number
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Date of creation: 1992Date of revision:
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Keywords: Econometrics ; Other versions of this item:
Article Kremers, Jeroen J M & Ericsson, Neil R & Dolado, Juan J, 1992.
"The Power of Cointegration Tests ,"
Oxford Bulletin of Economics and Statistics ,
Department of Economics, University of Oxford, vol. 54(3), pages 325-48, August.
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