Core Inflation Measures and Statistical Issues in Choosing Among Them

Core Inflation Measures and Statistical Issues in Choosing Among Them
Author: Mick Silver
Publisher: International Monetary Fund
Total Pages: 60
Release: 2006-04
Genre: Business & Economics
ISBN:


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This paper provides an overview of statistical measurement issues relating to alternative measures of core inflation, and the criteria for choosing among them. The approaches to measurement considered include exclusion-based methods, imputation methods, limited influence estimators, reweighting, and economic modeling. Criteria for judging which approach to use include credibility, control, deviations from a smoothed reference series, volatility, predictive ability, causality and cointegration tests, and correlation with money supply. Country practice can differ in how the approaches are implemented and how their appropriateness is assessed. There is little consistency in the results of country studies to readily suggest guidelines on accepted methods.


Core Inflation Measures and Statistical Issues in Choosing Among Them
Language: en
Pages: 60
Authors: Mick Silver
Categories: Business & Economics
Type: BOOK - Published: 2006-04 - Publisher: International Monetary Fund

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This paper provides an overview of statistical measurement issues relating to alternative measures of core inflation, and the criteria for choosing among them.
IMF Working Papers
Language: en
Pages:
Authors: Mick Silver
Categories: Electronic books
Type: BOOK - Published: 2006 - Publisher:

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Authors: M.S. Silver
Categories:
Type: BOOK - Published: 2006 - Publisher:

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Provides an overview of statistical measurement issues relating to alternative measures of core inflation, and the criteria for choosing between them.
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Type: BOOK - Published: 2009-05-15 - Publisher: University of Chicago Press

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This volume presents the latest thoughts of a brilliant group of young economists on one of the most persistent economic problems facing the United States and t
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Type: BOOK - Published: 1995 - Publisher:

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