Are Higher Levels of Inflation Less Predictable? A State-Dependent Conditional Heteroscedasticity Approach
Allan Brunner () and
Gregory Hess
Journal of Business & Economic Statistics, 1993, vol. 11, issue 2, 187-97
Abstract:
Milton Friedman (1977) proposed that there is a positive relationship between inflation and inflation uncertainty. Using state-dependent models of conditional moments, the authors find strong statistical evidence that higher levels of inflation are less predictable, although innovations in inflation are somewhat bet ter predictors of future volatility than actual inflation. The authors' results are robust to different sample periods and to assumptions about a unit root in inflation. The authors also compare their resul ts to estimates using exponential generalized autoregressive conditiona l heteroskedasticity models, an alternative to state dependent models that also allows for asymmetries but does not nest conventional models.
Date: 1993
References: Add references at CitEc
Citations: View citations in EconPapers (133)
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
Working Paper: Are higher levels of inflation less predictable? A state-dependent conditional heteroskedasticity approach (1990)
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:bes:jnlbes:v:11:y:1993:i:2:p:187-97
Ordering information: This journal article can be ordered from
http://www.amstat.org/publications/index.html
Access Statistics for this article
Journal of Business & Economic Statistics is currently edited by Jonathan H. Wright and Keisuke Hirano
More articles in Journal of Business & Economic Statistics from American Statistical Association
Bibliographic data for series maintained by Christopher F. Baum ().