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Measuring inflation persistence: a structural time series approach Author info | Abstract | Publisher info | Download info | Related research | Statistics Maarten Dossche () (National Bank of Belgium, Research Department, Ghent University, Study Hive for Economic Research and Public Policy Analysis (SHERPPA))
Gerdie Everaert () (Ghent University, Study Hive for Economic Research and Public Policy Analysis (SHERPPA))
Additional information is available for the following
registered author(s):
Time series estimates of inflation persistence incur an upward bias if shifts in the inflation target of the central bank remain unaccounted for. Using a structural time series approach we measure different sorts of inflation persistence allowing for an unobserved timevarying 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 halflife of a shock, can range from 1 quarter in case of a costpush shock to several years for a shock to longrun inflation expectations or the output gap.
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Paper provided by National Bank of Belgium in its series Research series with number
200506-1.
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Length: 49 pages
Date of creation: Jun 2005Date of revision:
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Keywords: Inflation persistence ; inflation target ; 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!] M. Dossche & G. Everaert, 2005.
"Measuring inflation persistence: a structural time series approach ,"
Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium
05/340, Ghent University, Faculty of Economics and Business Administration.
[Downloadable!] Find related papers by JEL classification: C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Bayesian Analysis C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Estimation C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
This paper has been announced in the following NEP Reports :
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"Multivariate structural time series models with dual cycles : implications for measurement of output gap and potential growth ,"
Research series
200808-20, National Bank of Belgium.
[Downloadable!]
Harvey, A., 2008.
"Modeling the Phillips curve with unobserved components ,"
Cambridge Working Papers in Economics
0805, Faculty of Economics, University of Cambridge.
[Downloadable!]
Johan Devriese & Janet Mitchell, 2005.
"Liquidity risk in securities settlement ,"
Research series
200507-2, National Bank of Belgium.
[Downloadable!]
Other versions: Nancy Masschelein, 2007.
"Monitoring pro-cyclicality under the capital requirements directive : preliminary concepts for developing a framework ,"
Documents series
200711-22, National Bank of Belgium.
[Downloadable!]
Gianni Amisano & Oreste Tristani, 2007.
"Euro area inflation persistence in an estimated nonlinear DSGE model ,"
Working Paper Series
754, European Central Bank.
[Downloadable!]
Other versions: Annick Bruggeman, 2007.
"Can Excess Liquidity Signal an Asset Price Boom? ,"
Research series
200708-08, National Bank of Belgium.
[Downloadable!]
James H. Stock & Mark W. Watson, 2006.
"Why Has U.S. Inflation Become Harder to Forecast? ,"
NBER Working Papers
12324, National Bureau of Economic Research, Inc.
[Downloadable!] (restricted)
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!]
Michal Franta & Branislav Saxa & Katerina Smidkova, 2007.
"Inflation Persistence in New EU Member States: Is It Different Than in the Euro Area Members? ,"
Working Papers
2007/10, Czech National Bank, Research Department.
[Downloadable!]
Philippe Moës, 2006.
"The production function approach to the Belgian output gap, Estimation of a Multivariate Structural Time Series Model ,"
Research series
200609-1, National Bank of Belgium.
[Downloadable!]
Other versions: Carine Swartenbroekx, 2007.
"The gas chain : influence of its specificities on the liberalisation process ,"
Documents series
200711-24, National Bank of Belgium.
[Downloadable!]
Steffen Henzel, 2008.
"Learning Trend Inflation – Can Signal Extraction Explain Survey Forecasts? ,"
Ifo Working Paper Series
Ifo Working Paper No. 55, Ifo Institute for Economic Research at the University of Munich.
[Downloadable!]
François Coppens & David Vivet, 2006.
"The single European electricity market: A long road to convergence ,"
Documents series
200605-3, National Bank of Belgium.
[Downloadable!]
François Coppens & Fernando Gonzáles & Gerhard Winkler, 2007.
"The performance of credit rating systems in the assessment of collateral used in Eurosystem monetary policy operations ,"
Research series
200710-12, National Bank of Belgium.
[Downloadable!]
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