Efficient Inflation Estimation
 (596 K)
|
NBER Working Paper No. 6183
Issued in September 1997
NBER Program(s): ME
This paper investigates the use of trimmed means as high-frequency estimators of" inflation. The known characteristics of price change distributions, specifically the observation" that they generally exhibit high levels of kurtosis, imply that simple averages of price data are" unlikely to produce efficient estimates of inflation. Trimmed means produce superior estimates" of core inflation,' which we define as a long-run centered moving average of CPI and PPI" inflation. We find that trimming 9% from each tail of the CPI price-change distribution from the tails of the PPI price-change distribution, yields an efficient estimator of core inflation" for these two series, although lesser trims also produce substantial efficiency gains. Historically the optimal trimmed estimators are found to be nearly 23% more efficient (in terms of root-mean-square error) than the standard mean CPI Moreover, the efficient estimators are robust to sample period and to the definition of the" presumed underlying long-run trend in inflation.
This paper is available as PDF (596 K) or via email.
Machine-readable bibliographic record -
MARC,
RIS,
BibTeX
|
|
|
About
Support
The research activities of the NBER are funded by grants from federal research agencies, by private foundations, and by generous donations from our corporate associates and from private individuals. The NBER is a non-profit, 501(c)(3) organization. For information on supporting the NBER, please contact:
Mr. Denis Healy, Director of Development
NBER
1050 Massachusetts Avenue
Cambridge, MA 02138-5398
ph: 617-868-3900
email: dhealy@nber.org
Close