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The Impact of Economic Shocks in the Rest of the World on South Africa: Evidence from a Global VAR

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  • Annari De Waal
  • Reneé van Eyden

Abstract

The substantial change in South Africa’s trade patterns over the past two decades has affected the impact of economic shocks in major world economies on South Africa. To investigate the effect, we use a global vector autoregression (GVAR) model with time-varying trade weights to account for changing international trade linkages. We show that the long-term impact of a shock to Chinese GDP on South African GDP is much stronger in 2009 than in 1995, due to the substantial increase in South Africa’s trade with China since the mid-1990s. At the same time, the importance of the U.S. economy to South Africa diminished considerably. The results indicate one of the possible reasons why the recent global crisis did not affect South Africa as much as it affected developed economies. It also stresses the increased risk, to the South African and other economies, should China experience slower GDP growth.

Suggested Citation

  • Annari De Waal & Reneé van Eyden, 2016. "The Impact of Economic Shocks in the Rest of the World on South Africa: Evidence from a Global VAR," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 52(3), pages 557-573, March.
  • Handle: RePEc:mes:emfitr:v:52:y:2016:i:3:p:557-573
    DOI: 10.1080/1540496X.2015.1103141
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    References listed on IDEAS

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    1. Alessandro Rebucci & Ambrogio Cesa-Bianchi & M. Hashem Pesaran & TengTeng Xu, 2012. "China's Emergence in the World Economy and Business Cycles in Latin America," Economía Journal, The Latin American and Caribbean Economic Association - LACEA, vol. 0(Spring 20), pages 1-75, January.
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    7. Pesaran M.H. & Schuermann T. & Weiner S.M., 2004. "Modeling Regional Interdependencies Using a Global Error-Correcting Macroeconometric Model," Journal of Business & Economic Statistics, American Statistical Association, vol. 22, pages 129-162, April.
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    9. M. Hashem Pesaran & Til Schuermann & Bjorn-Jakob Treutler, 2007. "Global Business Cycles and Credit Risk," NBER Chapters,in: The Risks of Financial Institutions, pages 419-474 National Bureau of Economic Research, Inc.
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    Citations

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    Cited by:

    1. Alexander Chudik & M. Hashem Pesaran, 2016. "Theory And Practice Of Gvar Modelling," Journal of Economic Surveys, Wiley Blackwell, vol. 30(1), pages 165-197, February.
    2. Annari De Waal & Reneé Van Eyden & Rangan Gupta, 2015. "Do we need a global VAR model to forecast inflation and output in South Africa?," Applied Economics, Taylor & Francis Journals, vol. 47(25), pages 2649-2670, May.
    3. Zuzana Brixiova & Qingwei Meng & Mthuli Ncube, 2015. "Can Intra-Regional Trade Act as a Global Shock Absorber in Africa?," World Economics, World Economics, 1 Ivory Square, Plantation Wharf, London, United Kingdom, SW11 3UE, vol. 16(3), pages 141-162, July.
    4. repec:eee:inteco:v:150:y:2017:i:c:p:36-56 is not listed on IDEAS
    5. Mthuli Ncube & Zuzana Brixiova & Meng Qingwei, 2014. "Working Paper 198 - Can Intra-Regional Trade Act as a Global Shock Absorber in Africa?," Working Paper Series 2104, African Development Bank.
    6. repec:cii:cepiie:2017-q2-150-4 is not listed on IDEAS

    More about this item

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • F43 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Economic Growth of Open Economies
    • O55 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Africa

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