Mismeasured personal saving and the permanent income hypothesis
Is it possible to forecast using poorly measured data? According to the permanent income hypothesis, a low personal saving rate should predict rising future income (Campbell, 1987). However, the U.S. personal saving rate is initially poorly measured and has been repeatedly revised upward in benchmark revisions. The authors use both conventional and real-time estimates of the personal saving rate in vector autoregressions to forecast real disposable income; using the level of the personal saving rate in real time would have almost invariably made forecasts worse, but first differences of the personal saving rate are predictive. They also test the lay hypothesis that a low personal saving rate has implications for consumption growth and find no evidence of forecasting ability.
|Date of creation:||2007|
|Date of revision:|
|Contact details of provider:|| Postal: 10 Independence Mall, Philadelphia, PA 19106-1574|
Web page: http://www.philadelphiafed.org/
More information through EDIRC
|Order Information:|| Web: http://www.phil.frb.org/econ/wps/index.html Email: |
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- John Y. Campbell, 1986.
"Does Saving Anticipate Declining Labor Income? An Alternative Test of the Permanent Income Hypothesis,"
NBER Working Papers
1805, National Bureau of Economic Research, Inc.
- Campbell, John Y, 1987. "Does Saving Anticipate Declining Labor Income? An Alternative Test of the Permanent Income Hypothesis," Econometrica, Econometric Society, vol. 55(6), pages 1249-73, November.
- S. Boragan Aruoba, 2008.
"Data Revisions Are Not Well Behaved,"
Journal of Money, Credit and Banking,
Blackwell Publishing, vol. 40(2-3), pages 319-340, 03.
- Croushore, Dean & Stark, Tom, 2001.
"A real-time data set for macroeconomists,"
Journal of Econometrics,
Elsevier, vol. 105(1), pages 111-130, November.
- Croushore, Dean, 2006. "Forecasting with Real-Time Macroeconomic Data," Handbook of Economic Forecasting, Elsevier.
- Rosanne Cole, 1969. "Data Errors and Forecasting Accuracy," NBER Chapters, in: Economic Forecasts and Expectations: Analysis of Forecasting Behavior and Performance, pages 47-82 National Bureau of Economic Research, Inc.
- Dean Croushore & Tom Stark, 2003.
"A Real-Time Data Set for Macroeconomists: Does the Data Vintage Matter?,"
The Review of Economics and Statistics,
MIT Press, vol. 85(3), pages 605-617, August.
- Dean Croushore & Tom Stark, 1999. "A real-time data set for marcoeconomists: does the data vintage matter?," Working Papers 99-21, Federal Reserve Bank of Philadelphia.
- Graham Elliott & Allan Timmermann, 2008.
Journal of Economic Literature,
American Economic Association, vol. 46(1), pages 3-56, March.
- Michael J. Boskin, 2000. "Economic Measurement: Progress and Challenges," American Economic Review, American Economic Association, vol. 90(2), pages 247-252, May.
When requesting a correction, please mention this item's handle: RePEc:fip:fedpwp:07-8. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Beth Paul)
If references are entirely missing, you can add them using this form.