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Trends, Random Walks, and Tests of the Permanent Income Hypothesis Author info | Abstract | Publisher info | Download info | Related research | Statistics Matthew D. Shapiro (Cowles Foundation, Yale University )
N. Gregory Mankiw (MIT)
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Recent studies find that consumption is excessively sensitive to income. These studies assume that income is stationary around a deterministic trend. The data, however, do not reject the hypothesis that disposable income is a random walk with drift. If income is indeed a random walk, then the standard testing procedure is greatly biased toward finding excess sensitivity. Moreover, if income is borderline stationary, this procedure is also seriously biased.
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Paper provided by Cowles Foundation, Yale University in its series Cowles Foundation Discussion Papers with number
725.
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Length: 15 pages
Date of creation: Sep 1984Date of revision:
Publication status: Published in Journal of Monetary Economics (1985), 16: 165-174Handle: RePEc:cwl:cwldpp:725Note: CFP 628.Contact details of provider: Postal: Yale University, Box 208281, New Haven, CT 06520-8281 USA Phone: (203) 432-3702 Fax: (203) 432-6167 Web page: http://cowles.econ.yale.edu/ More information through EDIRC
Order Information: Postal: Cowles Foundation, Yale University, Box 208281, New Haven, CT 06520-8281 USA
For technical questions regarding this item, or to correct its listing, contact: (Glena Ames).
Keywords: Non-stationary time series ; detrending ; permanent income hypothesis ; small sample bias ; Other versions of this item:
Article Gregory Mankiw, N. & Shapiro, Matthew D., 1985.
"Trends, random walks, and tests of the permanent income hypothesis ,"
Journal of Monetary Economics ,
Elsevier, vol. 16(2), pages 165-174, September.
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