EconPapers    
Economics at your fingertips  
 

Measuring Noise in the Permanent Income Hypothesis

Tom Engsted ()
Additional contact information
Tom Engsted: Department of Finance, Aarhus School of Business, Postal: The Aarhus School of Business, Fuglesangs Allé 4, 8210 Aarhus V, Denmark, http://www.asb.dk/departments/afl/staff.aspx?staff=%7BC3CF83DB-BAB8-4BDE-8DA2-2C59C3226023%7D

No 00-8, Finance Working Papers from University of Aarhus, Aarhus School of Business, Department of Business Studies

Abstract: Based on a number of deviation measures, Kim (1996) finds that postwar US consumption deviates from the Permanent Income Hypothesis (PIH) by only around 4 percent. In the present paper we investigate in more detail the extent to which the PIH provides a good approximation to US consumption data. We point out some unappealing features in the methods suggested by Kim, and we propose a method that does not have these drawbacks. In particular, we argue that due to the non-stationarity that characterizes consumption and income, deviation measure should be expressed in terms of saving rather than consumption. By applying our proposed method we find that in general US saving deviates fromPIH saving by substantially more than 4 percent. We also document that the behavior of US consumption in the 1990s has turned saving into a non-stationary process, which is strongly at odds with the PIH.

Keywords: Stimulation Models; Permanent Income Hypothesis (search for similar items in EconPapers)
Date: 2000-02-01
Note: Later published in Journal of Macroeconomics

Downloads: (external link)
http://www.hha.dk/fin/finance/RESEARCH/D00_8.PDF (application/pdf)
Our link check indicates that this URL is bad, the error code is: 404 Not Found

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Access Statistics for this paper

More papers in Finance Working Papers from University of Aarhus, Aarhus School of Business, Department of Business Studies
Address: The Aarhus School of Business, Fuglesangs Allé 4, DK-8210 Aarhus V, Denmark
Contact information at EDIRC.
Series data maintained by Helle Vinbaek Stenholt ().

 
Page updated 2008-09-07
Handle: RePEc:hhb:aarfin:2000_008