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Economic uncertainty in South Africa

Author

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  • Binge, Laurie H.
  • Boshoff, Willem H.

Abstract

The idea that heightened uncertainty among firms contributed to the Great Recession and the lacklustre subsequent recovery has inspired a substantial literature examining the impact of changes in uncertainty on output and investment decisions. Yet to date there has been little research on business uncertainty in emerging markets. This paper is one of the first to develop a set of survey-based proxies for business uncertainty for an emerging market, South Africa, based on micro-data from business tendency surveys. These survey-based proxies are combined with more common measures of uncertainty, based on financial data and text mining, to obtain a composite measure of economic uncertainty. The paper then examines whether the uncertainty indicators have plausible and significant relationships with real economic activity, even after controlling for other economic variables. The indicators exhibit a significant negative correlation with real GDP growth, consistent with the findings for developed countries, and a positive shock to uncertainty is generally followed by a significant decrease in real activity growth.

Suggested Citation

  • Binge, Laurie H. & Boshoff, Willem H., 2020. "Economic uncertainty in South Africa," Economic Modelling, Elsevier, vol. 88(C), pages 113-131.
  • Handle: RePEc:eee:ecmode:v:88:y:2020:i:c:p:113-131
    DOI: 10.1016/j.econmod.2019.09.013
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    References listed on IDEAS

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    1. N. Bloom, 2016. "Fluctuations in uncertainty," Voprosy Ekonomiki, NP Voprosy Ekonomiki, issue 4.
    2. Binding, Garret & Dibiasi, Andreas, 2017. "Exchange rate uncertainty and firm investment plans evidence from Swiss survey data," Journal of Macroeconomics, Elsevier, vol. 51(C), pages 1-27.
    3. Caldara, Dario & Fuentes-Albero, Cristina & Gilchrist, Simon & Zakrajšek, Egon, 2016. "The macroeconomic impact of financial and uncertainty shocks," European Economic Review, Elsevier, vol. 88(C), pages 185-207.
    4. Baker, Scott R. & Bloom, Nicholas, 2013. "Does uncertainty reduce growth? Using disasters as natural experiments," LSE Research Online Documents on Economics 121906, London School of Economics and Political Science, LSE Library.
    5. Kyle Jurado & Sydney C. Ludvigson & Serena Ng, 2015. "Measuring Uncertainty," American Economic Review, American Economic Association, vol. 105(3), pages 1177-1216, March.
    6. Yavuz Arslan & Aslıhan Atabek & Timur Hulagu & Saygın Şahinöz, 2015. "Expectation errors, uncertainty, and economic activity," Oxford Economic Papers, Oxford University Press, vol. 67(3), pages 634-660.
    7. Nicholas Bloom, 2009. "The Impact of Uncertainty Shocks," Econometrica, Econometric Society, vol. 77(3), pages 623-685, May.
    8. Adina Popescu & Frank Rafael Smets, 2010. "Uncertainty, Risk-taking, and the Business Cycle in Germany," CESifo Economic Studies, CESifo, vol. 56(4), pages 596-626, December.
    9. Bonciani, Dario & Roye, Björn van, 2016. "Uncertainty shocks, banking frictions and economic activity," Journal of Economic Dynamics and Control, Elsevier, vol. 73(C), pages 200-219.
    10. Nick Bloom & Stephen Bond & John Van Reenen, 2007. "Uncertainty and Investment Dynamics," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 74(2), pages 391-415.
    11. Malcolm Baker & Jeffrey Wurgler, 2007. "Investor Sentiment in the Stock Market," Journal of Economic Perspectives, American Economic Association, vol. 21(2), pages 129-152, Spring.
    12. Li, Baibing & Martin, Elaine B. & Morris, A. Julian, 2002. "On principal component analysis in L1," Computational Statistics & Data Analysis, Elsevier, vol. 40(3), pages 471-474, September.
    13. Scott R. Baker & Nicholas Bloom & Steven J. Davis, 2016. "Measuring Economic Policy Uncertainty," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(4), pages 1593-1636.
    14. Adél Bosch & Franz Ruch, 2013. "An Alternative Business Cycle Dating Procedure for South Africa," South African Journal of Economics, Economic Society of South Africa, vol. 81(4), pages 491-516, December.
    15. Ben S. Bernanke, 1983. "Irreversibility, Uncertainty, and Cyclical Investment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 98(1), pages 85-106.
    16. Sylvain Leduc & Keith Sill, 2013. "Expectations and Economic Fluctuations: An Analysis Using Survey Data," The Review of Economics and Statistics, MIT Press, vol. 95(4), pages 1352-1367, October.
    17. R?diger Bachmann & Steffen Elstner & Eric R. Sims, 2013. "Uncertainty and Economic Activity: Evidence from Business Survey Data," American Economic Journal: Macroeconomics, American Economic Association, vol. 5(2), pages 217-249, April.
    18. Sandile Hlatshwayo & Mr. Magnus Saxegaard, 2016. "The Consequences of Policy Uncertainty: Disconnects and Dilutions in the South African Real Effective Exchange Rate-Export Relationship," IMF Working Papers 2016/113, International Monetary Fund.
    19. Alessandro Girardi & Andreas Reuter, 2017. "New uncertainty measures for the euro area using survey data," Oxford Economic Papers, Oxford University Press, vol. 69(1), pages 278-300.
    20. Chris Redl, 2018. "Macroeconomic Uncertainty in South Africa," South African Journal of Economics, Economic Society of South Africa, vol. 86(3), pages 361-380, September.
    21. Leduc, Sylvain & Liu, Zheng, 2016. "Uncertainty shocks are aggregate demand shocks," Journal of Monetary Economics, Elsevier, vol. 82(C), pages 20-35.
    22. Valencia, Fabián, 2017. "Aggregate uncertainty and the supply of credit," Journal of Banking & Finance, Elsevier, vol. 81(C), pages 150-165.
    23. Gupta, Rangan & Kabundi, Alain, 2011. "A large factor model for forecasting macroeconomic variables in South Africa," International Journal of Forecasting, Elsevier, vol. 27(4), pages 1076-1088, October.
    24. Stock J.H. & Watson M.W., 2002. "Forecasting Using Principal Components From a Large Number of Predictors," Journal of the American Statistical Association, American Statistical Association, vol. 97, pages 1167-1179, December.
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    Cited by:

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    2. Michael Ryan, 2020. "An Anchor in Stormy Seas: Does Reforming Economic Institutions Reduce Uncertainty? Evidence from New Zealand," Working Papers in Economics 20/11, University of Waikato.
    3. Claveria, Oscar, 2022. "Global economic uncertainty and suicide: Worldwide evidence," Social Science & Medicine, Elsevier, vol. 305(C).
    4. Oscar Claveria, 2021. "Disagreement on expectations: firms versus consumers," SN Business & Economics, Springer, vol. 1(12), pages 1-23, December.

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    More about this item

    Keywords

    Business tendency surveys; Uncertainty; Business cycles;
    All these keywords.

    JEL classification:

    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

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