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Estimating Potential Growth in the Middle East and Central Asia

Author

Listed:
  • Ms. Pritha Mitra
  • Amr Hosny
  • Gohar Abajyan
  • Mr. Mark Fischer

Abstract

The Middle East and Central Asia’s economic growth potential is slowing faster than in other emerging and developing regions, dampening hopes for reducing persistent unemployment and improving the region’s generally low living standards. Why? And is it possible to alter this course? This paper addresses these questions by estimating potential growth, examining its supply-side drivers, and assessing which of them could be most effective in raising potential growth. The analysis reveals that the region’s potential growth is expected to slow by ¾ of a percentage point more than the EMDC average over the next five years. The reasons behind this slowdown differ across the region. Lower productivity growth drives the slowdown in the Caucasus and Central Asia and is also weighing on growth across the Middle East (MENAP); while a lower labor contribution to potential growth is the main driver in MENAP. Moving forward, given some natural constraints on labor, total factor productivity growth is key to unlocking the region’s higher growth potential. For oil importers, raising physical capital accumulation through greater investment will also play an important role.

Suggested Citation

  • Ms. Pritha Mitra & Amr Hosny & Gohar Abajyan & Mr. Mark Fischer, 2015. "Estimating Potential Growth in the Middle East and Central Asia," IMF Working Papers 2015/062, International Monetary Fund.
    • Handle: RePEc:imf:imfwpa:2015/062
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    References listed on IDEAS

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    1. World Bank, 2009. "From Privilege to Competition : Unlocking Private-Led Growth in the Middle East and North Africa," World Bank Publications - Books, The World Bank Group, number 13524, December.
    2. Marianne Baxter & Robert G. King, 1999. "Measuring Business Cycles: Approximate Band-Pass Filters For Economic Time Series," The Review of Economics and Statistics, MIT Press, vol. 81(4), pages 575-593, November.
    3. Douglas Gollin, 2002. "Getting Income Shares Right," Journal of Political Economy, University of Chicago Press, vol. 110(2), pages 458-474, April.
    4. Luis M. Cubeddu & Alexander Culiuc & Ghada Fayad & Yuan Gao & Kalpana Kochhar & Annette J Kyobe & Ceyda Oner & Roberto Perrelli & Sarah Sanya & Evridiki Tsounta & Zhongxia Zhang, 2014. "Emerging Markets in Transition; Growth Prospects and Challenges," IMF Staff Discussion Notes 14/6, International Monetary Fund.
    5. Vivian Chen & Abhay Gupta & Andre Therrien & Gad Levanon & Bart van Ark, 2010. "Recent Productivity Developments in the World Economy: An Overview from The Conference Board Total Economy Database," International Productivity Monitor, Centre for the Study of Living Standards, vol. 19, pages 3-19, Spring.
    6. Lawrence J. Christiano & Terry J. Fitzgerald, 2003. "The Band Pass Filter," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 44(2), pages 435-465, May.
    7. Morten O. Ravn & Harald Uhlig, 2002. "On adjusting the Hodrick-Prescott filter for the frequency of observations," The Review of Economics and Statistics, MIT Press, vol. 84(2), pages 371-375.
    8. International Monetary Fund, 2010. "Estimating Potential Output with a Multivariate Filter," IMF Working Papers 2010/285, International Monetary Fund.
    9. Michal Andrle, 2013. "What Is in Your Output Gap? Unified Framework & Decomposition into Observables," IMF Working Papers 2013/105, International Monetary Fund.
    10. Beveridge, Stephen & Nelson, Charles R., 1981. "A new approach to decomposition of economic time series into permanent and transitory components with particular attention to measurement of the `business cycle'," Journal of Monetary Economics, Elsevier, vol. 7(2), pages 151-174.
    11. James C. Morley & Charles R. Nelson & Eric Zivot, 2003. "Why Are the Beveridge-Nelson and Unobserved-Components Decompositions of GDP So Different?," The Review of Economics and Statistics, MIT Press, vol. 85(2), pages 235-243, May.
    12. Harvey, A C, 1985. "Trends and Cycles in Macroeconomic Time Series," Journal of Business & Economic Statistics, American Statistical Association, vol. 3(3), pages 216-227, June.
    13. Peter K. Clark, 1987. "The Cyclical Component of U. S. Economic Activity," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 102(4), pages 797-814.
    14. International Monetary Fund, 2012. "Saudi Arabia: Selected Issues," IMF Staff Country Reports 2012/272, International Monetary Fund.
    15. Mr. Sebastian Sosa & Ms. Evridiki Tsounta & Miss Marie S Kim, 2013. "Is the Growth Momentum in Latin America Sustainable?," IMF Working Papers 2013/109, International Monetary Fund.
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    Cited by:

    1. International Monetary Fund, 2016. "Tunisia: Selected Issues," IMF Staff Country Reports 2016/047, International Monetary Fund.
    2. International Monetary Fund, 2016. "Saudi Arabia: Selected Issues," IMF Staff Country Reports 2016/327, International Monetary Fund.

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