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Analysing South Africa's Inflation Persistence Using an ARFIMA Model with Markov-Switching Fractional Differencing Parameter

Author

Listed:
  • Mehmet Balcilar

    () (Department of Economics, Eastern Mediterranean University, Famagusta, Northern Cyprus)

  • Rangan Gupta

    () (Department of Economics, University of Pretoria)

  • Charl Jooste

    (Department of Economics, University of Pretoria Author-Email: charltoiger@gmail.com)

Abstract

We test the inertial properties of South African inflation in a Markov-Switching autoregressive fractionally integrated moving average model. This allows us to test for long memory and study the persistence of inflation in multiple regimes. We show that inflation is more volatile and persistent during high inflation episodes relative to low inflation episodes. We estimate that it takes approximately 70 months for 50 percent of the shocks to dissipate in a high inflation regime compared to 10 months in a low inflation regime.

Suggested Citation

  • Mehmet Balcilar & Rangan Gupta & Charl Jooste, 2014. "Analysing South Africa's Inflation Persistence Using an ARFIMA Model with Markov-Switching Fractional Differencing Parameter," Working Papers 15-09, Eastern Mediterranean University, Department of Economics.
  • Handle: RePEc:emu:wpaper:15-09.pdf
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    File URL: http://repec.economics.emu.edu.tr/RePEc/emu/wpaper/15-09.pdf
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    References listed on IDEAS

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    1. Serena Ng & Pierre Perron, 2002. "PPP May not Hold Afterall: A Further Investigation," Annals of Economics and Finance, Society for AEF, vol. 3(1), pages 43-64, May.
    2. Ruthira Naraidoo & Rangan Gupta, 2009. "Modelling monetary policy in South Africa: Focus on inflation targeting era using a simple learning rule," Working Papers 200904, University of Pretoria, Department of Economics.
    3. Mehmet Balcilar, 2004. "Persistence in Inflation: Does Aggregation Cause Long Memory?," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 40(5), pages 25-56, September.
    4. Ehrmann, Michael & Ellison, Martin & Valla, Natacha, 2003. "Regime-dependent impulse response functions in a Markov-switching vector autoregression model," Economics Letters, Elsevier, vol. 78(3), pages 295-299, March.
    5. Logan Rangasamy, 2009. "Inflation Persistence And Core Inflation: The Case Of South Africa," South African Journal of Economics, Economic Society of South Africa, vol. 77(3), pages 430-444, September.
    6. Haldrup, Niels & Nielsen, Morten Orregaard, 2006. "A regime switching long memory model for electricity prices," Journal of Econometrics, Elsevier, vol. 135(1-2), pages 349-376.
    7. Rangan Gupta & Josine Uwilingiye, 2012. "Comparing South African Inflation Volatility Across Monetary Policy Regimes: An Application of Saphe Cracking," Journal of Developing Areas, Tennessee State University, College of Business, vol. 46(1), pages 45-54, January-J.
    8. Haldrup Niels & Nielsen Morten Ø., 2006. "Directional Congestion and Regime Switching in a Long Memory Model for Electricity Prices," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 10(3), pages 1-24, September.
    9. Massimiliano Caporin & Juliusz Preś, 2013. "Forecasting Temperature Indices Density with Time‐Varying Long‐Memory Models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 32(4), pages 339-352, July.
    10. Zelda Blignaut & Greg Farrell & Victor Munyama & Logan Rangasamy, 2009. "A Note On The Trimmed Mean Measure Of Core Inflation In South Africa," South African Journal of Economics, Economic Society of South Africa, vol. 77(4), pages 538-552, December.
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    Citations

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    Cited by:

    1. Francis Leni Anguyo & Rangan Gupta & Kevin Kotze, 2017. "Inflation Dynamics in Uganda: A Quantile Regression Approach," School of Economics Macroeconomic Discussion Paper Series 2017-07, School of Economics, University of Cape Town.
    2. repec:spr:empeco:v:53:y:2017:i:2:d:10.1007_s00181-016-1144-y is not listed on IDEAS
    3. Phiri, Andrew, 2017. "Inflation persistence in BRICS countries: A quantile autoregressive (QAR) model," MPRA Paper 79956, University Library of Munich, Germany.
    4. Andrew Phiri, 2017. "Inflation persistence in BRICS countries: A quantile autoregressive (QAR) approach," Working Papers 1702, Department of Economics, Nelson Mandela University, revised Jul 2017.
    5. Stan du Plessis, Gideon du Rand & Kevin Kotzé, 2015. "Measuring Core Inflation in South Africa," Working Papers 503, Economic Research Southern Africa.
    6. Massimiliano Caporin & Rangan Gupta, 2017. "Time-varying persistence in US inflation," Empirical Economics, Springer, vol. 53(2), pages 423-439, September.
    7. 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.

    More about this item

    Keywords

    Inflation persistence; MS-ARFIMA; inflation regimes;

    JEL classification:

    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • C20 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - General

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