Measures of Underlying Inflation in the Euro Area: Assessment and Role for Informing Monetary Policy

August 1, 2006

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Format: Chicago

Emil Stavrev. Measures of Underlying Inflation in the Euro Area: Assessment and Role for Informing Monetary Policy, (USA: International Monetary Fund, 2006) accessed November 21, 2024

Disclaimer: This Working Paper should not be reported as representing the views of the IMF.The views expressed in this Working Paper are those of the author(s) and do not necessarily represent those of the IMF or IMF policy. Working Papers describe research in progress by the author(s) and are published to elicit comments and to further debate

Summary

The paper evaluates the 24-month ahead inflation forecasting performance of various indicators of underlying inflation and structural models. The inflation forecast errors resulting from model misspecification are larger than the errors resulting from forecasting of exogenous variables. Also, measures derived using the generalized dynamic factor model (GDFM) overperform other measures over the monetary policy horizon and are leading indicators of headline inflation. Trimmed means, although weaker than GDFM indicators, have good forecasting performance, while indicators by permanent exclusion underperform but provide useful information about short-term dynamics. The forecasting performance of theoretically-founded models that relate monetary aggregates, the output gap, and inflation improves with the time horizon but generally falls short of that of the GDFM. A composite measure of underlying inflation, derived by averaging the statistical indicators and the model-based estimates, improves forecast accuracy by eliminating bias and offers valuable insight about the distribution of risks.

Subject: Economic forecasting, Exchange rates, Inflation, Monetary aggregates, Oil prices

Keywords: Headline inflation, Phillips curve, WP

Publication Details

Pages:

37
Volume:

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DOI:

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Issue:

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Series:

Working Paper No. 2006/197
Stock No:

WPIEA2006197
ISBN:

9781451864571
ISSN:

1018-5941

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