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

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, measur...

詳細記述

書誌詳細
第一著者: Stavrev, Emil
フォーマット: 雑誌
言語:English
出版事項: Washington, D.C. : International Monetary Fund, 2006.
シリーズ:IMF Working Papers; Working Paper ; No. 2006/197
オンライン・アクセス:Full text available on IMF
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245 1 0 |a Measures of Underlying Inflation in the Euro Area :   |b Assessment and Role for Informing Monetary Policy /  |c Emil Stavrev. 
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300 |a 1 online resource (37 pages) 
490 1 |a IMF Working Papers 
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500 |a <strong>On-Campus Access:</strong> No User ID or Password Required 
506 |a Electronic access restricted to authorized BRAC University faculty, staff and students 
520 3 |a 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. 
538 |a Mode of access: Internet 
830 0 |a IMF Working Papers; Working Paper ;  |v No. 2006/197 
856 4 0 |z Full text available on IMF  |u http://elibrary.imf.org/view/journals/001/2006/197/001.2006.issue-197-en.xml  |z IMF e-Library