Efficient Inflation Estimation
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.
|Date of creation:||Sep 1997|
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- Balke, Nathan S. & Wynne, Mark A., 2000.
"An equilibrium analysis of relative price changes and aggregate inflation,"
Journal of Monetary Economics,
Elsevier, vol. 45(2), pages 269-292, April.
- Balke, Nathan S. & Wynne, Mark A., 1996. "An equilibrium analysis of relative price changes and aggregate inflation," Working Papers 9609, Federal Reserve Bank of Dallas.
- Michael F. Bryan & Stephen G. Cecchetti, 1994. "Measuring Core Inflation," NBER Chapters,in: Monetary Policy, pages 195-219 National Bureau of Economic Research, Inc.
- Michael F. Bryan & Stephen G. Cecchetti, 1993. "Measuring Core Inflation," NBER Working Papers 4303, National Bureau of Economic Research, Inc.
- Andrew Caplin & John Leahy, 1991. "State-Dependent Pricing and the Dynamics of Money and Output," The Quarterly Journal of Economics, Oxford University Press, vol. 106(3), pages 683-708.
- Caballero, Ricardo J & Engel, Eduardo M R A, 1991. "Dynamic (S, s) Economies," Econometrica, Econometric Society, vol. 59(6), pages 1659-1686, November.
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