Modeling trends in macroeconomic time series
How predictable are real GNP, prices, and other macroeconomic data over long time horizons? The answer depends on the nature of their trends. In this article, Nathan S. Balke describes alternative models of trend for economic data, discusses the implications of these models for forecasting and business-cycle analysis, and reviews some of the existing evidence for and against various models of trend. ; In addition, Balke conducts a case study of real GNP and the price level. He finds that a simple linear time trend may adequately reflect the long- run behavior of real GNP. The price level, on the other hand, appears to be affected by infrequent but dramatic events that have long-lasting effects. Consequently, the price level is much more difficult to forecast.
To our knowledge, this item is not available for
download. To find whether it is available, there are three
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.
Volume (Year): (1991)
Issue (Month): May ()
|Contact details of provider:|| Web page: http://www.dallasfed.org/|
More information through EDIRC
|Order Information:|| Email: |
When requesting a correction, please mention this item's handle: RePEc:fip:fedder:y:1991:i:may:p:19-33. 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: (Amy Chapman)
If references are entirely missing, you can add them using this form.