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An Analysis of the Importance of Terms of Trade in South Africa Using Impulse Response Function

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  • Temitope L. A. Leshoro

Abstract

The understanding of the terms of trade is essential as its worsening can cause severe disruptions in any economy. South Africa, as a developing nation and a net importer, coupled with its low contribution to the global export market, is not spared the effects of the volatility of export prices. It is therefore important to observe the effects of a negative shock in the commodity terms of trade on selected key macroeconomic variables. Using quarterly data from the period 1988: Q2 to 2019: Q3, the study adopted the Monte Carlo impulse response function and variance decomposition analyses to examine the path of a given variable that resulted from a negative shock in the terms of trade. The results showed that all the variables responded, as expected, to the shock in the commodity terms of trade, both in the short and long run, and that they all returned to stable states. The study further showed the importance of output growth, exchange rate and investment in explaining the commodity terms of trade decomposition. The study concludes by providing some policy recommendations.

Suggested Citation

  • Temitope L. A. Leshoro, 2023. "An Analysis of the Importance of Terms of Trade in South Africa Using Impulse Response Function," Global Business Review, International Management Institute, vol. 24(2), pages 243-257, April.
    • Handle: RePEc:sae:globus:v:24:y:2023:i:2:p:243-257
    DOI: 10.1177/0972150920916558
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    1. Erik Hjalmarsson & Pär Österholm, 2010. "Testing for cointegration using the Johansen methodology when variables are near-integrated: size distortions and partial remedies," Empirical Economics, Springer, vol. 39(1), pages 51-76, August.
    2. Johansen, Soren & Juselius, Katarina, 1990. "Maximum Likelihood Estimation and Inference on Cointegration--With Applications to the Demand for Money," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 52(2), pages 169-210, May.
    3. Olusegun A. Akanbi, 2012. "Role Of Governance In Explaining Domestic Investment In Nigeria," South African Journal of Economics, Economic Society of South Africa, vol. 80(4), pages 473-489, December.
    4. Christian Broda & Cédric Tille, 2003. "Coping with terms-of-trade shocks in developing countries," Current Issues in Economics and Finance, Federal Reserve Bank of New York, vol. 9(Nov).
    5. David Gruen & Jacqueline Dwyer, 1996. "Are Terms of Trade Rises Inflationary?," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 29(2), pages 211-224, April.
    6. Mehmet Balcilar & Josine Uwilingiye & Rangan Gupta, 2018. "Dynamic Relationship Between Oil Price And Inflation In South Africa," Journal of Developing Areas, Tennessee State University, College of Business, vol. 52(2), pages 73-93, April-Jun.
    7. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
    8. Christopher N. Ekong & Ekpeno L. Effiong, 2015. "Oil Price Shocks and Nigeria’s Macroeconomy: Disentangling the Dynamics of Crude Oil Market Shocks," Global Business Review, International Management Institute, vol. 16(6), pages 920-935, December.
    9. Johansen, Soren, 1995. "Likelihood-Based Inference in Cointegrated Vector Autoregressive Models," OUP Catalogue, Oxford University Press, number 9780198774501.
    10. Sims, Christopher A & Stock, James H & Watson, Mark W, 1990. "Inference in Linear Time Series Models with Some Unit Roots," Econometrica, Econometric Society, vol. 58(1), pages 113-144, January.
    11. Marianne Baxter & Michael A. Kouparitsas, 2000. "What Causes Fluctuations in the Terms of Trade?," NBER Working Papers 7462, National Bureau of Economic Research, Inc.
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