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What Is the Nature of the Output-Employment-Unemployment Nexus in South Africa? Evidence from Various Approaches to Okun’s Law

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Accelerated Land Reform, Mining, Growth, Unemployment and Inequality in South Africa

Abstract

How has the intensity of aggregate and sectorial output growth to create jobs evolved? Evidence shows that the output-employment coefficients vary over time and was the lowest post-financial crisis. GDP growth above 2 per cent is associated with the highest growth in QES employment and, in particular, private sector employment growth. On the other hand, the doubling of output growth to 4 per cent and above results in a significant decline in the unemployment rate. At a sectorial level, evidence indicates that the most output growth employment intensity is generated by the construction sector followed by the transport, trade and finance sectors. For these sectors, a per cent growth in their output resulted in employment growth of between 0.7 per cent and 1 per cent in these sectors for the period 2000Q1 to 2016Q4.

The unemployment-employment indicate that an increase in employment growth does lead to a decline in the unemployment rate. But the unemployment rate moves less than one-for-one with employment growth and this worsened post-recession. The estimates indicate that a 1 percentage change (increase) in employment resulted in a −0.1 percentage point decline in the unemployment rate compared to −0.4 percentage points decline pre-2007. The estimated delta coefficient of −0.4 percentage points raises the policy implications of whether it is sufficient to absorb new entrants into the labour market. More so because an increase in employment increases the returns to job search, which induces workers to enter the labour force and increase in the labour participation ratio. This means that policy interventions aimed at enhancing the labour absorption rate must focus the construction, transport, trade and finance, manufacturing and mining sectors. These measures will contribute to the objectives of maximum output and employment growth.

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Notes

  1. 1.

    They move in different directions.

  2. 2.

    It is noteworthy that the increased contribution of the mining sector in the 1980s coincided with that of the electricity sector in line with the discoveries and surge in global commodity prices in the early 1980s. We explore the role of commodity and asset price booms and busts in later chapters of this book.

  3. 3.

    These aspects are explored in later chapters of this book.

  4. 4.

    Data for the QLFS employment is only available from 2008Q1.

  5. 5.

    The puzzle is why inflation has been persistently low at a time when estimates place the economy at or near full employment. Hence, the argument that the Phillips curve has weakened (flattened) post-financial crisis as inflation and nominal wages have tended to change relatively little as the unemployment rate has fallen considerably. Thus Brainard (2017a) argues that with the Phillips curve appearing to be a less reliable guidepost than it has been in the past, the anchoring role of inflation expectations and lowering financial imbalances remains critically important.

  6. 6.

    In this case Ball et al. (2013) state that “potential output” is synonymous with long-run output and the “natural rate” refers to the long-run unemployment. The long-run level of employment and the natural rate of unemployment are determined by the size of the labour force and frictions in the labour market.

  7. 7.

    The issue of “jobless recoveries” and “export-led jobless growth” are addressed in later chapters of this book.

  8. 8.

    See Tables 8.3 and 8.4 in the Appendix for the point estimates for \( \gamma \), \( \delta \), \( \beta \) and \( \beta =\gamma \delta \).

  9. 9.

    Asset prices such as house and equity prices. Furthermore, Ndou et al. (2017) show that the economic sectors reflect heterogeneous responses to the REER appreciation shock. The manufacturing sector is highly sensitive to REER movements and declines following the REER appreciation shock. This reflects the dominating impact between the expenditure switching effects and the production costs hypothesis. These effects may be associated with trade exposure of the manufacturing sector to low cost imports and competitors as opposed the dominance of the benefits of reduced input costs of imported input materials in this sector.

  10. 10.

    The policy implication is that credit and financial booms in general are not growth-enhancing.

References

  • Ball, L.M., Leigh, D., and Loungani, P. 2013. Okun’s Law: Fit at Fifty? NBER Working Paper 18668.

    Google Scholar 

  • Brainard, L. 2017a. Understanding the Disconnect between Employment and Inflation with a Low Neutral Rate. Speech at The Economic Club of New York New York City, 5 September 2017.

    Google Scholar 

  • Brainard, L. 2017b. Navigating the Different Signals from Inflation and Unemployment. Speech at the New York Association for Business Economics, New York City, 30 May 2017.

    Google Scholar 

  • Cecchetti, S.G., and Kharroubi, E. 2012. Reassessing the Impact of Finance on Growth. BIS Working Papers No. 381.

    Google Scholar 

  • Gali, J. 2010. The Return of the Wage Phillips Curve. NBER Working Paper 15758.

    Google Scholar 

  • Gali, J. 2011. Unemployment Fluctuations and Stabilization Policies: A New Keynesian Perspective. MIT Press: Cambridge, MA. ISBN 978-0-262-01597-4.

    Google Scholar 

  • Gali, J., Smets, F., and Wouters, R. 2011. Unemployment in an Estimated New Keynesian Model. NBER Working Paper 17084.

    Google Scholar 

  • Gali, J., Smets, F., and Wouters, R. 2012. Slow Recoveries: A Structural Interpretation. NBER Working Paper 18085.

    Google Scholar 

  • Gordon, Robert J. 2010. Okun’s Law and Productivity Innovations. American Economic Review: Papers & Proceedings, 100 (2), 11–15.

    Article  Google Scholar 

  • Gumata, N., and Ndou, E. 2017. Bank Credit Extension and Real Economic Activity in South Africa: The Impact of Capital Flow Dynamics, Bank Regulation and Selected Macro-prudential Tools. Palgrave Macmillan. ISBN 978-3-319-43550-3.

    Google Scholar 

  • Gumata, N., and Ndou, E. 2019. Capital Flows, Credit Markets and Growth in South Africa: The Role of Global Economic Growth, Policy Shifts and Uncertainties. Palgrave Macmillan. ISBN 978-3-030-30887-2.

    Google Scholar 

  • IMF World Economic Outlook. 2010. Unemployment Dynamics During Recessions and Recoveries: Okun’s Law and Beyond. Chapter 3, April. https://www.imf.org/external/pubs/ft/weo/2010/01/

  • Kashkari, N. 2017. Why I Dissented at the March 2017 FOMC Meeting. https://www.minneapolisfed.org/news-and-events/messages/why-i-dissented.

  • Knotek, E.S. 2007. How Useful is Okun’s Law? Economic Review, 4, 73–102. Federal Reserve Bank of Kansas City, Kansas City, KS.

    Google Scholar 

  • Mankiw, N. Gregory. 2012. Principles of Macroeconomics, 6th edition. Mason, OH: South-Western Cengage Learning.

    Google Scholar 

  • Meyer, Brent, and Tasci, Murat. 2012. An Unstable Okun’s Law, Not the Best Rule of Thumb. Economic Commentary, June 7.

    Google Scholar 

  • Ndou, E., Gumata, N., and Ncube, M. 2017. Global Economic Uncertainties and Exchange Rate Shocks. Palgrave Macmillan. ISBN 978-3-319-62279-8.

    Google Scholar 

  • Yellen, J.L. 2017. From Adding Accommodation to Scaling It Back. Remarks by at The Executives’ Club of Chicago Chicago Hilton 720 S. Michigan Avenue Chicago, IL. https://www.federalreserve.gov/newsevents/speech/files/yellen20170303a.pdf

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Appendix

Appendix

Table 8.3 Point estimates of the \( \gamma \), \( \delta \), \( \beta \) and \( \beta =\gamma \delta \) coefficients (data in logs levels)
Table 8.4 Point estimates of the \( \gamma \), \( \delta \), \( \beta \) and \( \beta =\gamma \delta \) coefficients (data in log changes)
Table 8.5 Sectorial of the coefficients for the output-employment intensities

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Gumata, N., Ndou, E. (2019). What Is the Nature of the Output-Employment-Unemployment Nexus in South Africa? Evidence from Various Approaches to Okun’s Law. In: Accelerated Land Reform, Mining, Growth, Unemployment and Inequality in South Africa. Palgrave Macmillan, Cham. https://doi.org/10.1007/978-3-030-30884-1_8

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  • DOI: https://doi.org/10.1007/978-3-030-30884-1_8

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