Is the spurious regression problem spurious?
So-called "spurious regression" relationships are generally accompanied by clear signs of residual autocorrelation. A conscientious researcher would likely re-estimate with an autocorrelation correction. Simulations indicate that resulting test statistics are close to true values, so do not yield spurious results.
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Bennett T. McCallum, 1993.
"Unit Roots in Macroeconomic Time Series: Some Critical Issues,"
NBER Working Papers
4368, National Bureau of Economic Research, Inc.
- Bennett T. McCallum, 1993. "Unit roots in macroeconomic time series: some critical issues," Economic Quarterly, Federal Reserve Bank of Richmond, issue Spr, pages 13-44.
- Davidson, Russell & MacKinnon, James G., 1993. "Estimation and Inference in Econometrics," OUP Catalogue, Oxford University Press, number 9780195060119, March.
- Granger, Clive W.J. & Hyung, Namwon & Jeon, Yongil, 1998.
"Spurious Regressions with Stationary Series,"
University of California at San Diego, Economics Working Paper Series
qt7r3353t8, Department of Economics, UC San Diego.
- Granger, C. W. J. & Newbold, P., 1974. "Spurious regressions in econometrics," Journal of Econometrics, Elsevier, vol. 2(2), pages 111-120, July.
When requesting a correction, please mention this item's handle: RePEc:eee:ecolet:v:107:y:2010:i:3:p:321-323. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Zhang, Lei)
If references are entirely missing, you can add them using this form.