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Inflation in South Africa. A long memory approach

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  • Gil-Alana, Luis A.

Abstract

This paper deals with the analysis of the inflation rate in South Africa for the time period 1970M1-2008M12. We use long range dependence techniques and the results show that inflation in this country is a covariance stationary process with long range dependence, with an order of integration ranging in the interval (0, 0.5). Policy implications are derived.

Suggested Citation

  • Gil-Alana, Luis A., 2011. "Inflation in South Africa. A long memory approach," Economics Letters, Elsevier, vol. 111(3), pages 207-209, June.
    • Handle: RePEc:eee:ecolet:v:111:y:2011:i:3:p:207-209
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    References listed on IDEAS

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    Cited by:

    1. Carlos Barros & Luis Gil-Alana, 2013. "Inflation Forecasting in Angola: A Fractional Approach," African Development Review, African Development Bank, vol. 25(1), pages 91-104.
    2. Tschernig, Rolf & Weber, Enzo & Weigand, Roland, 2014. "Long- versus medium-run identification in fractionally integrated VAR models," Economics Letters, Elsevier, vol. 122(2), pages 299-302.
    3. Andrew Phiri, 2018. "Inflation persistence in BRICS countries: A quantile autoregressive (QAR) approach," Business and Economic Horizons (BEH), Prague Development Center, vol. 14(1), pages 97-104, January.
    4. Sakiru Adebola Solarin & Luis A. Gil-Alana & Carmen Lafuente, 2020. "Persistence of the Misery Index in African Countries," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 147(3), pages 825-841, February.
    5. Phiri, Andrew, 2017. "Inflation persistence in BRICS countries: A quantile autoregressive (QAR) model," MPRA Paper 79956, University Library of Munich, Germany.
    6. Rangan Gupta & Charl Jooste & Omid Ranjbar, 2015. "The Changing Dynamics of South Africa's Inflation Persistence: Evidence from a Quantile Regression Framework," Working Papers 201563, University of Pretoria, Department of Economics.

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