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Measuring Core Inflation in South Africa

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  • Stan du Plessis, Gideon du Rand & Kevin Kotzé

Abstract

Measures of core inflation convey critical information about an economy. They have a direct effect on the policy-making process, particularly in inflation-targeting countries, and are utilized in forecasting and modelling exercises. In South a Africa the prices indices on which inflation is based have been subject to important structural breaks following changes to the underlying basket of goods and the methodology for constructing price indices. This paper seeks to identify a consistent measure of core inflation for South Africa using trimmed-means estimates, measures that exclude changes in food and energy prices, dynamic factor models and wavelet decompositions. After considering the forecasting ability of these measures, which provide an indication of expected second-round inflationary effects, traditional in-sample criteria were used for further comparative purposes. The results suggest that wavelet decompositions provided a useful measure of this critical variable.

Suggested Citation

  • Stan du Plessis, Gideon du Rand & Kevin Kotzé, 2015. "Measuring Core Inflation in South Africa," Working Papers 503, Economic Research Southern Africa.
  • Handle: RePEc:rza:wpaper:503
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    File URL: https://www.econrsa.org/node/1021
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    References listed on IDEAS

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    Cited by:

    1. Francis Leni Anguyo & Rangan Gupta & Kevin Kotzé, 2020. "Inflation dynamics in Uganda: a quantile regression approach," Macroeconomics and Finance in Emerging Market Economies, Taylor & Francis Journals, vol. 13(2), pages 161-187, May.
    2. Franz Ruch & Stan du Plessis, 2015. "Second-Round Effects from Food and Energy Prices- an SBVAR approach," Working Papers 7008, South African Reserve Bank.
    3. Ladi R. Bala-Keffi & Donald G. Mbaka & Nuruddeen Usman, 2020. "Alternative Core Inflation Measures in Nigeria: An Examination," Applied Economics and Finance, Redfame publishing, vol. 7(4), pages 112-120, July.
    4. Mehmet Balcilar & Rangan Gupta & Kevin Kotzé, 2017. "Forecasting South African macroeconomic variables with a Markov-switching small open-economy dynamic stochastic general equilibrium model," Empirical Economics, Springer, vol. 53(1), pages 117-135, August.
    5. Franz Ruch & Mehmet Balcilar Author-Name-First Mehmet & Mampho P. Modise & Rangan Gupta, 2015. "Forecasting Core Inflation: The Case of South Africa," Working Papers 15-08, Eastern Mediterranean University, Department of Economics.

    More about this item

    Keywords

    wavelets; trimmed means; dynamic factor mdoels; forecasting; core inflation;

    JEL classification:

    • 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
    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy

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