EconPapers    
Economics at your fingertips  
 

Trends, Random Walks, and Tests of the Permanent Income Hypothesis

Matthew D. Shapiro and N. Gregory Mankiw
Additional contact information
Matthew D. Shapiro: Cowles Foundation, Yale University, https://cowles.yale.edu/

No 725, Cowles Foundation Discussion Papers from Cowles Foundation for Research in Economics, Yale University

Abstract: 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.

Keywords: Non-stationary time series; detrending; permanent income hypothesis; small sample bias (search for similar items in EconPapers)
Pages: 15 pages
Date: 1984-09
Note: CFP 628.
References: Add references at CitEc
Citations: View citations in EconPapers (7)

Published in Journal of Monetary Economics (1985), 16: 165-174

Downloads: (external link)
https://cowles.yale.edu/sites/default/files/files/pub/d07/d0725.pdf (application/pdf)
Our link check indicates that this URL is bad, the error code is: 404 Not Found

Related works:
Journal Article: Trends, random walks, and tests of the permanent income hypothesis (1985) Downloads
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:cwl:cwldpp:725

Ordering information: This working paper can be ordered from
Cowles Foundation, Yale University, Box 208281, New Haven, CT 06520-8281 USA
The price is None.

Access Statistics for this paper

More papers in Cowles Foundation Discussion Papers from Cowles Foundation for Research in Economics, Yale University Yale University, Box 208281, New Haven, CT 06520-8281 USA. Contact information at EDIRC.
Bibliographic data for series maintained by Brittany Ladd ().

 
Page updated 2025-03-24
Handle: RePEc:cwl:cwldpp:725