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South Africa’s inflation persistence: a quantile regression framework

Author

Listed:
  • Rangan Gupta

    (University of Pretoria)

  • Charl Jooste

    (University of Pretoria)

  • Omid Ranjbar

    (Ministry of Industry, Mine and Trade)

Abstract

We study inflation persistence in South Africa using a quantile regression approach (We would like to thank two anonymous referees for many helpful comments. However, any remaining errors are solely ours). We control for structural breaks using a quantile structural break test on a long span of inflation data. Our study includes persistence estimates for headline and core inflation—thus controlling for possible biases emanating from extremely volatile periods. South Africa’s inflation persistence is lowest during the inflation targeting period regardless of the inflation measure. Inflation persistence is also constant over all quantiles during the inflation targeting regime for core inflation. There is a difference between the estimates from headline and core—headline persistence increases in relation to higher quantiles. Thus energy and food price shocks might de-stabilise inflation altogether.

Suggested Citation

  • Rangan Gupta & Charl Jooste & Omid Ranjbar, 2017. "South Africa’s inflation persistence: a quantile regression framework," Economic Change and Restructuring, Springer, vol. 50(4), pages 367-386, November.
  • Handle: RePEc:kap:ecopln:v:50:y:2017:i:4:d:10.1007_s10644-016-9192-z
    DOI: 10.1007/s10644-016-9192-z
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    References listed on IDEAS

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    1. Caballero, Ricardo J. & Engel, Eduardo M. R. A., 1993. "Microeconomic rigidities and aggregate price dynamics," European Economic Review, Elsevier, vol. 37(4), pages 697-711, May.
    2. Todd E. Clark, 2006. "Disaggregate evidence on the persistence of consumer price inflation," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(5), pages 563-587.
    3. Laxton, Douglas & Rose, David & Tambakis, Demosthenes, 1999. "The U.S. Phillips curve: The case for asymmetry," Journal of Economic Dynamics and Control, Elsevier, vol. 23(9-10), pages 1459-1485, September.
    4. Qu, Zhongjun, 2008. "Testing for structural change in regression quantiles," Journal of Econometrics, Elsevier, vol. 146(1), pages 170-184, September.
    5. Wolters Maik H. & Tillmann Peter, 2015. "The changing dynamics of US inflation persistence: a quantile regression approach," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 19(2), pages 161-182, April.
    6. Amisano, Gianni & Tristani, Oreste, 2010. "Euro area inflation persistence in an estimated nonlinear DSGE model," Journal of Economic Dynamics and Control, Elsevier, vol. 34(10), pages 1837-1858, October.
    7. Hamilton, James D, 1989. "A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle," Econometrica, Econometric Society, vol. 57(2), pages 357-384, March.
    8. Janine Aron & John Muellbauer, 2007. "Review of Monetary Policy in South Africa since 1994," Journal of African Economies, Centre for the Study of African Economies, vol. 16(5), pages 705-744, November.
    9. Calvo, Guillermo A., 1983. "Staggered prices in a utility-maximizing framework," Journal of Monetary Economics, Elsevier, vol. 12(3), pages 383-398, September.
    10. Sebastiano Manzan & Dawit Zerom, 2015. "Asymmetric Quantile Persistence and Predictability: the Case of US Inflation," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 77(2), pages 297-318, April.
    11. Faul, Joseph & Khumalo, Bridgette & Pashe, Mpho & Khuzwayo, Miranda & Banda, Kamogelo & Jali, Senzo & Myeni, Bathandekile & Pule, Retlaodirela & Mosito, Boitshoko & Jack, Lona-u-Thando & Phiri, Andrew, 2014. "Is South Africa's inflation target too persistent for monetary policy conduct?," MPRA Paper 58233, University Library of Munich, Germany.
    12. Roger Koenker & Zhijie Xiao, 2004. "Unit Root Quantile Autoregression Inference," Journal of the American Statistical Association, American Statistical Association, vol. 99, pages 775-787, January.
    13. Oka, Tatsushi & Qu, Zhongjun, 2011. "Estimating structural changes in regression quantiles," Journal of Econometrics, Elsevier, vol. 162(2), pages 248-267, June.
    14. Janine Aron & John Muellbauer, 2007. "Review of Monetary Policy in South Africa since 1994," Journal of African Economies, Centre for the Study of African Economies (CSAE), vol. 16(5), pages 705-744, November.
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    Cited by:

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    2. Petrevski, Goran, 2023. "Macroeconomic Effects of Inflation Targeting: A Survey of the Empirical Literature," EconStor Preprints 271122, ZBW - Leibniz Information Centre for Economics.
    3. Dawar, Ishaan & Dutta, Anupam & Bouri, Elie & Saeed, Tareq, 2021. "Crude oil prices and clean energy stock indices: Lagged and asymmetric effects with quantile regression," Renewable Energy, Elsevier, vol. 163(C), pages 288-299.
    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.

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