The paper studies a possibility to construct a price index (“core inflation” index) for Russia, which is more appropriate for assessing monetary policy than consumer price index. The index is derived by applying to Russian data trimmed mean method, which explores cross-sectional dimension of the data. We find that cross-sectional distributions of individual price changes are significantly long-tailed. In this situation ordinary sample mean is not very efficient and robust estimator of the central tendency. Trimming 50-100% of observations leads to a large gain in efficiency. Moreover, trimmed mean series is shown to be less volatile than official consumer price index.
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Paper provided by EERC Research Network, Russia and CIS in its series EERC Working Paper Series with number
04-04e.
Length: 25 pages Date of creation: 23 Mar 2004 Date of revision: Handle: RePEc:eer:wpalle:04-04e
Contact details of provider: Postal: EERC Research Network, Russia and CIS, 47, Nakhimovsky pr-t, suite 919, Moscow, 117418 Russia Phone: +7(095)332-4415 Fax: +1(202)478-1968 Web page: http://www.eerc.ru
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Find related papers by JEL classification: C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
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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.:
Michael F. Bryan & Stephen G. Cecchetti & Rodney L. Wiggins II, 1997.
"Efficient Inflation Estimation,"
NBER Working Papers
6183, National Bureau of Economic Research, Inc.
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