|
Abstract:
A cointegration test statistic based upon estimation of an error cor�rection 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.
Full paper(397 KB PDF)
Keywords
Cointegration, Dickey-Fuller statistic, econo�metrics, error correction, power, statistical inference, unit roots
PDF files: Adobe Acrobat Reader ZIP files: PKWARE
Home | IFDPs | List of 1992 IFDPs
Accessibility |
Contact Us
Last update: October 16, 2008
|
