IDEAS home Printed from https://ideas.repec.org/p/pre/wpaper/201328.html
   My bibliography  Save this paper

The impact of economic shocks in the rest of the world on South Africa: Evidence from a global VAR

Author

Listed:
  • Annari de Waal

    () (Department of Economics, University of Pretoria)

  • Renee van Eyden

    () (Department of Economics, University of Pretoria)

Abstract

The significant change in South Africa’s trade patterns over the past two decades should affect the impact of shocks in the rest of the world on the country, since South Africa is a small open economy. We investigate the effect with the use of a global vector autoregression (GVAR) model from 1979Q2 to 2009Q4. To account for changes in international trade linkages, we assemble the country-specific foreign variables with time-varying trade-weighted data. We show that the long-term impact of a shock to Chinese GDP on South African GDP is 330% stronger in 2009 than in 1995, due to the substantial increase in South Africa’s trade with China since the mid-1990s. By 2005, a United States (US) GDP shock only has a quarter of the long-term impact on South African GDP compared to 1995, as trade with the US declined noticeably. By 2009, the impact of a US GDP shock on South African GDP is insignificant. The results indicate 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 economy and economies in the rest of the world, should China experience slower GDP growth.

Suggested Citation

  • Annari de Waal & Renee van Eyden, 2013. "The impact of economic shocks in the rest of the world on South Africa: Evidence from a global VAR," Working Papers 201328, University of Pretoria, Department of Economics.
  • Handle: RePEc:pre:wpaper:201328
    as

    Download full text from publisher

    File URL: http://www.up.ac.za/media/shared/61/WP/wp_2013_28.zp39422.pdf
    Download Restriction: no

    References listed on IDEAS

    as
    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," ECONOMIA JOURNAL, THE LATIN AMERICAN AND CARIBBEAN ECONOMIC ASSOCIATION - LACEA, vol. 0(Spring 20), pages 1-75, January.
    2. Pesaran, M. Hashem & Shin, Yongcheol & Smith, Richard J., 2000. "Structural analysis of vector error correction models with exogenous I(1) variables," Journal of Econometrics, Elsevier, vol. 97(2), pages 293-343, August.
    3. Filippo di Mauro & L. Vanessa Smith & Stephane Dees & M. Hashem Pesaran, 2007. "Exploring the international linkages of the euro area: a global VAR analysis," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(1), pages 1-38.
    4. 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.
    5. Garratt, Anthony & Lee, Kevin & Pesaran, M. Hashem & Shin, Yongcheol, 2012. "Global and National Macroeconometric Modelling: A Long-Run Structural Approach," OUP Catalogue, Oxford University Press, number 9780199650460.
    6. M. Hashem Pesaran & L. Vanessa Smith & Ron P. Smith, 2007. "What if the UK or Sweden had joined the euro in 1999? An empirical evaluation using a Global VAR," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 12(1), pages 55-87.
    7. 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.
    8. Lombardi, Marco J. & Galesi, Alessandro, 2009. "External shocks and international inflation linkages: a global VAR analysis," Working Paper Series 1062, European Central Bank.
    9. David Fielding & Kevin Lee & Kalvinder Shields, 2012. "Does one size fit all? Modelling macroeconomic linkages in the West African Economic and Monetary Union," Economic Change and Restructuring, Springer, vol. 45(1), pages 45-70, February.
    10. Silvia Sgherri & Alessandro Galesi, 2009. "Regional Financial Spillovers Across Europe; A Global VAR Analysis," IMF Working Papers 09/23, International Monetary Fund.
    11. Pesaran, M. Hashem & Schuermann, Til & Smith, L. Vanessa, 2009. "Rejoinder to comments on forecasting economic and financial variables with global VARs," International Journal of Forecasting, Elsevier, vol. 25(4), pages 703-715, October.
    12. Çakır, Mustafa Yavuz & Kabundi, Alain, 2013. "Trade shocks from BRIC to South Africa: A global VAR analysis," Economic Modelling, Elsevier, vol. 32(C), pages 190-202.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. repec:eee:inteco:v:150:y:2017:i:c:p:36-56 is not listed on IDEAS
    3. repec:cii:cepiie:2017-q2-150-4 is not listed on IDEAS
    4. 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.
    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.

    More about this item

    Keywords

    South Africa; developing economies; trade linkages; global macroeconomic modelling; global vector autoregression (GVAR);

    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

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:pre:wpaper:201328. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Rangan Gupta). General contact details of provider: http://edirc.repec.org/data/decupza.html .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.