A factorial decomposition of inflation in Peru: an alternative measure of core inflation
AbstractA dynamic factorial decomposition model of inflation is estimated using Peruvian monthly data for January 1995--July 2008. This model allows the identification of changes in three relevant inflation components: idiosyncratic relative prices, aggregate relative prices and absolute prices. Furthermore, following Reis and Watson (2007), the model allows measuring pure inflation as the common factor in the inflation rate that has a proportionate effect to all prices and that is not correlated with relative-price changes at any period of time. This pure inflation estimate relates closely to standard measures of core inflation. The results are robust to different lag structures and various stochastic assumptions on the estimated factors.
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Bibliographic InfoArticle provided by Taylor & Francis Journals in its journal Applied Economics Letters.
Volume (Year): 19 (2012)
Issue (Month): 14 (September)
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Other versions of this item:
- Alberto Humala & Gabriel Rodríguez, 2011. "A Factorial Decomposition Of Inflation In Peru, An Alternative Measure Of Core Inflation," Documentos de Trabajo 2011-315, Departamento de Economía - Pontificia Universidad Católica del Perú.
- C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
- C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
- E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Bai, Jushan, 2004. "Estimating cross-section common stochastic trends in nonstationary panel data," Journal of Econometrics, Elsevier, vol. 122(1), pages 137-183, September.
- Forni, Mario & Hallin, Marc & Lippi, Marco & Reichlin, Lucrezia, 1999.
"The Generalized Dynamic Factor Model: Identification and Estimation,"
CEPR Discussion Papers
2338, C.E.P.R. Discussion Papers.
- Mario Forni & Marc Hallin & Marco Lippi & Lucrezia Reichlin, 2000. "The Generalized Dynamic-Factor Model: Identification And Estimation," The Review of Economics and Statistics, MIT Press, vol. 82(4), pages 540-554, November.
- Mario Forni & Marc Hallin & Lucrezia Reichlin & Marco Lippi, 2000. "The generalised dynamic factor model: identification and estimation," ULB Institutional Repository 2013/10143, ULB -- Universite Libre de Bruxelles.
- Boivin, Jean & Giannoni, Marc P. & Mihov, Ilian, 2006.
"Sticky prices and monetary policy: Evidence from disaggregated US data,"
CFS Working Paper Series
2007/14, Center for Financial Studies (CFS).
- Jean Boivin & Marc P. Giannoni & Ilian Mihov, 2009. "Sticky Prices and Monetary Policy: Evidence from Disaggregated US Data," American Economic Review, American Economic Association, vol. 99(1), pages 350-84, March.
- Boivin, Jean & Giannoni, Marc & Mihov, Ilian, 2007. "Sticky Prices and Monetary Policy: Evidence from Disaggregated US Data," CEPR Discussion Papers 6101, C.E.P.R. Discussion Papers.
- Jean Boivin & Marc Giannoni & Ilian Mihov, 2007. "Sticky Prices and Monetary Policy: Evidence from Disaggregated U.S. Data," NBER Working Papers 12824, National Bureau of Economic Research, Inc.
- Riccardo Cristadoro & Mario Forni & Lucrezia Reichlin & Giovanni Veronese, 2001.
"A core inflation index for the euro area,"
Temi di discussione (Economic working papers)
435, Bank of Italy, Economic Research and International Relations Area.
- Altissimo, Filippo & Mojon, Benoit & Zaffaroni, Paolo, 2009. "Can aggregation explain the persistence of inflation?," Journal of Monetary Economics, Elsevier, vol. 56(2), pages 231-241, March.
- Michal Brzoza-Brzezina & Jacek Kotlowski, 2009. "Estimating pure inflation in the Polish economy," Working Papers 37, Department of Applied Econometrics, Warsaw School of Economics.
- Marlene Amstad & Simon Potter, 2009. "Real time underlying inflation gauges for monetary policymakers," Staff Reports 420, Federal Reserve Bank of New York.
- Wojciech Charemza & Imran Husssain Shah, 2013.
"Stability price index, core inflation and output volatility,"
Applied Economics Letters,
Taylor & Francis Journals, vol. 20(8), pages 737-741, May.
- Wojciech Charemza & Imran Hussain Shah, 2012. "Stability Price Index, Core Inflation and Output Volatility," Discussion Papers in Economics 12/21, Department of Economics, University of Leicester.
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