This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

Testing the Cross-Section Implications of Friedman's Permanent Income Hypothesis

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Joseph DeJuan (Department of Economics, University of Waterloo)
John Seater (Department of Economics, North Carolina State University)

Additional information is available for the following registered author(s):

Abstract

We use modern household data and econometric methods to conduct some of the original tests of the Permanent Income Hypothesis (PIH) suggested and used by Friedman (1957). The data and methods are superior to those available to Friedman, allowing us to refine Friedman’s tests and perform tests he could not do. The results provide overall but not universal support for PIH.

Download Info
To our knowledge, this item is not available for download. To find whether it is available, there are three options:
1. Check below under "Related research" whether another version of this item is available online.
2. Check on the provider's web page whether it is in fact available.
3. Perform a search for a similarly titled item that would be available.

Publisher Info
Paper provided by University of Waterloo, Department of Economics in its series Working Papers with number 04003.

Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Length:
Date of creation: Jan 2004
Date of revision: Jan 2004
Handle: RePEc:wat:wpaper:04003

Contact details of provider:
Postal: Waterloo, Ontario, N2L 3G1
Phone: (519) 888-4567 ext 3695
Fax: (519) 725-0530
Web page: http://economics.uwaterloo.ca/
More information through EDIRC

For technical questions regarding this item, or to correct its listing, contact: (Jennifer Lehman).

Related research
Keywords:

Other versions of this item:

Statistics
Access and download statistics

Did you know? You can include your works in the database easily by uploading them on the Munich Personal RePEc Archive (MPRA) if you do not have access to an institutional RePEc archive.

This page was last updated on 2010-1-4.


This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.