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Towards a Measure of Core Inflation using Singular Spectrum Analysis

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  • Franz Ruch
  • Dirk Bester

Abstract

This paper constructs a number of possible core measures of annual inflation using Singular Spectrum Analysis (SSA). Annual inflation is decomposed into its trend, oscillating and noise components in order to develop an understanding of the trend and cyclicality in South African headline inflation. Five cyclical components are identified with differing amplitude and frequency. The […]
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  • Franz Ruch & Dirk Bester, 2013. "Towards a Measure of Core Inflation using Singular Spectrum Analysis," South African Journal of Economics, Economic Society of South Africa, vol. 81(3), pages 307-329, September.
  • Handle: RePEc:bla:sajeco:v:81:y:2013:i:3:p:307-329
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    File URL: http://hdl.handle.net/10.1111/j.1813-6982.2012.01340.x
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    1. Frederic S. Miskin & Klaus Schmidt-Hebbel, 2007. "Does Inflation Targeting Make a Difference?," Central Banking, Analysis, and Economic Policies Book Series, in: Frederic S. Miskin & Klaus Schmidt-Hebbel & Norman Loayza (Series Editor) & Klaus Schmidt-Hebbel (Se (ed.),Monetary Policy under Inflation Targeting, edition 1, volume 11, chapter 9, pages 291-372, Central Bank of Chile.
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    8. Cogley, Timothy, 2002. "A Simple Adaptive Measure of Core Inflation," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 34(1), pages 94-113, February.
    9. Md Atikur Rahman Khan & D.S. Poskitt, 2011. "Window Length Selection and Signal-Noise Separation and Reconstruction in Singular Spectrum Analysis," Monash Econometrics and Business Statistics Working Papers 23/11, Monash University, Department of Econometrics and Business Statistics.
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    13. Edwin M. Truman, 2003. "Inflation Targeting in the World Economy," Peterson Institute Press: All Books, Peterson Institute for International Economics, number 346, January.
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    Cited by:

    1. Stan Plessis & Gideon Rand & Kevin Kotzé, 2015. "Measuring Core Inflation in South Africa," South African Journal of Economics, Economic Society of South Africa, vol. 83(4), pages 527-548, December.
    2. Franz Ruch & Mehmet Balcilar & Rangan Gupta & Mampho P. Modise, 2020. "Forecasting core inflation: the case of South Africa," Applied Economics, Taylor & Francis Journals, vol. 52(28), pages 3004-3022, June.

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    More about this item

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C41 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Duration Analysis; Optimal Timing Strategies
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
    • N17 - Economic History - - Macroeconomics and Monetary Economics; Industrial Structure; Growth; Fluctuations - - - Africa; Oceania

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