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Testing the Validity of the Quantity Theory of Money on Sectoral Data: Non-Linear Evidence from South Africa

Author

Listed:
  • Siyabonga Mndebele

    (Department of Economics, Faculty of Commerce, Administration, and Law, University of Zululand, KwaDlangezwa 3886, South Africa)

  • Devi Datt Tewari

    (Department of Economics, Faculty of Commerce, Administration, and Law, University of Zululand, KwaDlangezwa 3886, South Africa)

  • Kehinde Damilola Ilesanmi

    (Department of Economics, Faculty of Commerce, Administration, and Law, University of Zululand, KwaDlangezwa 3886, South Africa)

Abstract

Purpose: The purpose of this study is to test the validity of the quantity theory of money (QTM) on South African sectoral data. The rationale of this study and its necessity for South Africa as the case study is that, although aggregate inflation may lie within the target range, inflation at a sectoral level, particularly in the food and transport sector, is still a matter of concern in South Africa. Methodology/approach: This study employed the Non-linear Autoregressive Distributed Lagged model (NARDL) to assess potential asymmetries in the effect of money supply to differentiate between the effects of contractional and expansional episodes on inflation at the sectoral level. Quarterly time series data spanning from 2002Q2 to 2021Q2 was utilised for the estimation. Ultimately, the causal effect amongst the variables is examined by employing the Pairwise Granger Causality test. Findings: The results suggest that in the short run, the effect of monetary policy shocks is very weak. On the other hand, in the long run, both negative and positive shocks in the money supply push inflation at the sectoral level in the opposite directions, and positive shocks (expansionary monetary policy) have a greater effect than negative shocks, which renders the QTM invalid in South Africa. The sectoral response was found to be heterogeneous in the long run, and this was also backed by the results of the Granger Causality test and the dynamic multipliers. Asymmetry in the effect of the money supply is assessed in some of the sectors only in the long run. Practical implications: Based on the results, this study confirms great discrepancies in sectoral responses. Therefore, aggregate inflation may not be a good indicator of the inflation path in South Africa, as it may underestimate sectoral variations. Originality/value: The originality of this study lies on testing the validity of the QTM on inflation at the sectoral level in the South African context using a non-linear approach to assess potential asymmetry between the effects of expansionary and contractionary episodes of monetary policy shocks.

Suggested Citation

  • Siyabonga Mndebele & Devi Datt Tewari & Kehinde Damilola Ilesanmi, 2023. "Testing the Validity of the Quantity Theory of Money on Sectoral Data: Non-Linear Evidence from South Africa," Economies, MDPI, vol. 11(2), pages 1-26, February.
    • Handle: RePEc:gam:jecomi:v:11:y:2023:i:2:p:71-:d:1074417
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    References listed on IDEAS

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    1. Nair Sultana & Rabiunnesa Koli & Mahamuda Firoj, 2019. "Causal Relationship of Money Supply and Inflation: A Study of Bangladesh," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 9(1), pages 42-51, January.
    2. Mr. Prakash Loungani & Mr. Phillip L Swagel, 2001. "Sources of Inflation in Developing Countries," IMF Working Papers 2001/198, International Monetary Fund.
    3. Nikita Perevalov & Philipp Maier, 2010. "On the Advantages of Disaggregated Data: Insights from Forecasting the U.S. Economy in a Data-Rich Environment," Staff Working Papers 10-10, Bank of Canada.
    4. M. Hashem Pesaran & Yongcheol Shin & Richard J. Smith, 2001. "Bounds testing approaches to the analysis of level relationships," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(3), pages 289-326.
    5. Nair Sultana & Rabiunnesa Koli & Mahamuda Firoj, 2019. "Causal Relationship of Money Supply and Inflation: A Study of Bangladesh," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 9(1), pages 42-51.
    6. Narayan, Paresh Kumar & Liu, Ruipeng, 2015. "A unit root model for trending time-series energy variables," Energy Economics, Elsevier, vol. 50(C), pages 391-402.
    7. Edward Nelson, 2008. "Why Money Growth Determines Inflation in the Long Run: Answering the Woodford Critique," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 40(8), pages 1791-1814, December.
    8. Imbs, Jean & Jondeau, Eric & Pelgrin, Florian, 2011. "Sectoral Phillips curves and the aggregate Phillips curve," Journal of Monetary Economics, Elsevier, vol. 58(4), pages 328-344.
    9. Uddin , Ijaz, 2020. "What determine inflation in Pakistan: an investigation through structural equation modeling by using time series data for a period from 1975 to 2017," Economic Consultant, Roman I. Ostapenko, vol. 32(4), pages 54-72.
    10. M. Ali Kemal, 2006. "Is Inflation in Pakistan a Monetary Phenomenon?," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 45(2), pages 213-220.
    11. Ditimi Amassoma & Sunday Keji & Emma-Ebere Onyedikachi O., 2017. "The Upshot of Money Supply and Inflation in Nigeria," Valahian Journal of Economic Studies, Sciendo, vol. 8(2), pages 75-90, October.
    12. Tim Atkin & Gianni La Cava, 2017. "The Transmission of Monetary Policy: How Does It Work?," RBA Bulletin (Print copy discontinued), Reserve Bank of Australia, pages 01-08, September.
    13. Khalid M. Kisswani & Mohammad I. Elian, 2017. "Exploring the nexus between oil prices and sectoral stock prices: Nonlinear evidence from Kuwait stock exchange," Cogent Economics & Finance, Taylor & Francis Journals, vol. 5(1), pages 1286061-128, January.
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    Keywords

    QTM; sectoral inflation; NARDL;
    All these keywords.

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