IDEAS home Printed from https://ideas.repec.org/a/gam/jecomi/v11y2023i2p71-d1074417.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7099/11/2/71/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7099/11/2/71/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. Mr. Prakash Loungani & Mr. Phillip L Swagel, 2001. "Sources of Inflation in Developing Countries," IMF Working Papers 2001/198, International Monetary Fund.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Sumera Arshad & Amajd Ali, 2016. "Trade-off between Inflation, Interest and Unemployment Rate of Pakistan: Revisited," Bulletin of Business and Economics (BBE), Research Foundation for Humanity (RFH), vol. 5(4), pages 193-209, December.
    2. Akhand Akhtar Hossain, 2019. "Does money have a role in the inflation process? Evidence from Australia," Australian Economic Papers, Wiley Blackwell, vol. 58(2), pages 113-129, June.
    3. Hossain, Akhand Akhtar & Arwatchanakarn, Popkarn, 2017. "Does Money Have a Role in Monetary Policy for Price Stability under Inflation Targeting in Thailand?," Journal of Asian Economics, Elsevier, vol. 53(C), pages 37-55.
    4. Fazal, Rizwan & Rehman, Syed Aziz Ur & Bhatti, M. Ishaq, 2022. "Graph theoretic approach to expose the energy-induced crisis in Pakistan," Energy Policy, Elsevier, vol. 169(C).
    5. Md Fouad Bin Amin & Mohd Ziaur Rehman, 2022. "Asymmetric Linkages of Oil Prices, Money Supply, and TASI on Sectoral Stock Prices in Saudi Arabia: A Non-Linear ARDL Approach," SAGE Open, , vol. 12(1), pages 21582440211, January.
    6. Schneider, Nicolas & Strielkowski, Wadim, 2023. "Modelling the unit root properties of electricity data—A general note on time-domain applications," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 618(C).
    7. Liang, Chin Chia & Troy, Carol & Rouyer, Ellen, 2020. "U.S. uncertainty and Asian stock prices: Evidence from the asymmetric NARDL model," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
    8. Belongia, Michael T. & Ireland, Peter N., 2019. "The demand for Divisia Money: Theory and evidence," Journal of Macroeconomics, Elsevier, vol. 61(C), pages 1-1.
    9. Andrea Vaona, 2015. "Anomalous empirical evidence on money long-run super-neutrality and the vertical long-run Phillips curve," Working Papers 17/2015, University of Verona, Department of Economics.
    10. Md. Nezum Uddin & Mohammed Jashim Uddin & Monir Ahmmed, 2019. "Money and Inflation Nexus in Bangladesh," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 9(6), pages 702-711, June.
    11. Muhammad Kamran Khan & Jian-Zhou Teng & Muhammad Imran Khan, 2019. "Asymmetric impact of oil prices on stock returns in Shanghai stock exchange: Evidence from asymmetric ARDL model," PLOS ONE, Public Library of Science, vol. 14(6), pages 1-14, June.
    12. Raheem, Ibrahim D., 2017. "Asymmetry and break effects of oil price -macroeconomic fundamentals dynamics: The trade effect channel," The Journal of Economic Asymmetries, Elsevier, vol. 16(C), pages 12-25.
    13. Khalid M. Kisswani & Arezou Harraf & Amjad M. Kisswani, 2019. "Revisiting the effects of oil prices on exchange rate: asymmetric evidence from the ASEAN-5 countries," Economic Change and Restructuring, Springer, vol. 52(3), pages 279-300, August.
    14. Bahmani-Oskooee, Mohsen & Ghodsi, Seyed Hesam & Hadzic, Muris, 2020. "Asymmetric causality between stock returns and usual hedges: An industry-level analysis," The Journal of Economic Asymmetries, Elsevier, vol. 21(C).
    15. Kurniawan, Robi & Managi, Shunsuke, 2018. "Coal consumption, urbanization, and trade openness linkage in Indonesia," Energy Policy, Elsevier, vol. 121(C), pages 576-583.
    16. Kashif Ali & Mahmood Khalid, 2019. "Sources to Finance Fiscal Deficit and Their Impact on Inflation: A Case Study of Pakistan," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 58(1), pages 27-43.
    17. Civcir, Irfan & Akkoc, Ugur, 2021. "Non-linear ARDL approach to the oil-stock nexus: Detailed sectoral analysis of the Turkish stock market," Resources Policy, Elsevier, vol. 74(C).
    18. Masudul Hasan Adil & Rafiq Hussain & Adelajda Matuka, 2022. "Interest rate sensitivity of demand for money and effectiveness of monetary policy: fresh evidence from combined cointegration test and ARDL approach," SN Business & Economics, Springer, vol. 2(7), pages 1-24, July.
    19. Akhand Akhtar Hossain, 2019. "How justified is abandoning money in the conduct of monetary policy in Australia on the grounds of instability in the money‐demand function?," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 48(2), July.
    20. Parminder KAUR & Ravi SINGLA, 2023. "Asymmetric Effects of Commodity Prices on Stock Returns of BRICS Countries," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 145-164, March.

    More about this item

    Keywords

    QTM; sectoral inflation; NARDL;
    All these keywords.

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jecomi:v:11:y:2023:i:2:p:71-:d:1074417. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.