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Measuring inflation persistence: a structural time series approach Author info | Abstract | Publisher info | Download info | Related research | Statistics M. DOSSCHE ()
G. EVERAERT ()
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Using a structural time series approach we measure different sorts of inflation persistence allowing for an unobserved time-varying inflation target. Unobserved components are identified using Kalman filtering and smoothing techniques. Posterior densities of the model parameters and the unobserved components are obtained in a Bayesian framework based on importance sampling. We find that inflation persistence, expressed by the half life of a shock, can range from 1 quarter in case of a cost-push shock to several years for a shock to long-run inflation expectations or the output gap.
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Paper provided by Ghent University, Faculty of Economics and Business Administration in its series Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium with number
05/340.
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Length: 42 pages
Date of creation: Nov 2005Date of revision:
Handle: RePEc:rug:rugwps:05/340Contact details of provider: Postal: Hoveniersberg 4, B-9000 Gent Phone: ++ 32 (0) 9 264 34 61 Fax: ++ 32 (0) 9 264 35 92 Web page: http://www.feb.ugent.be/ More information through EDIRC
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Keywords: Inflation Target State Space Model Kalman Filter Bayesian Analysis Other versions of this item:
Paper Maarten Dossche & Gerdie Everaert, 2005.
"Measuring Inflation Persistence: A Structural Time Series Approach ,"
Computing in Economics and Finance 2005
459, Society for Computational Economics.
[Downloadable!] Maarten Dossche & Gerdie Everaert, 2005.
"Measuring inflation persistence - a structural time series approach ,"
Working Paper Series
495, European Central Bank.
[Downloadable!] Maarten Dossche & Gerdie Everaert, 2005.
"Measuring inflation persistence: A structural time series approach ,"
Money Macro and Finance (MMF) Research Group Conference 2005
85, Money Macro and Finance Research Group.
[Downloadable!] Maarten Dossche & Gerdie Everaert, 2005.
"Measuring inflation persistence: a structural time series approach ,"
Research series
200506-1, National Bank of Belgium.
[Downloadable!] Find related papers by JEL classification: C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Bayesian Analysis C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
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Helga De Doncker, 2006.
"Crédits aux particuliers - Analyse des données de la Centrale des Crédits aux Particuliers ,"
Documents series
200601-1, National Bank of Belgium.
[Downloadable!]
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