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Journal Article

A Note on Spurious Inference in a Linearly Detrended Vector Autoregression

Lee E. Ohanian
The Review of Economics and Statistics
Vol. 73, No. 3 (Aug., 1991), pp. 568-571
Published by: The MIT Press
DOI: 10.2307/2109588
Stable URL: http://www.jstor.org/stable/2109588
Page Count: 4
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Since scans are not currently available to screen readers, please contact JSTOR User Support for access. We'll provide a PDF copy for your screen reader.
A Note on Spurious Inference in a Linearly Detrended Vector Autoregression
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Abstract

A simulation study is designed to evaluate the sensitivity of inference in a Vector Autoregression in which the variables of interest (GNP, the money stock, the price level, and a short-term interest rate) are treated as trend stationary processes. Using the normal asymptotic theory, we find that an artificially generated random walk Granger-causes the genuine variables in the model as often as 60% of the time for a 5% level test. We also observe substantial bias when other persistent stochastic processes are included in the autoregressions. The number of rejections are two to five times greater than if the variables are not linearly detrended prior to analysis.

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