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Interest Rate Effects on Output: Evidence from a GDP Forecasting Model for South Africa

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  • Janine Aron

    (Centre for the Study of African Economies, Department of Economics, Oxford University)

  • John Muellbauer

    (Nuffield College, Oxford University)

Abstract

Forecasting models for output are presented to throw light on monetary transmission. Recent research finds multistep forecasting superior to recursive forecasting from a VAR model when structural breaks are present; there are important political and policy regime breaks in South Africa. The equilibrium correction models have a four-quarter ahead forecast horizon, appropriate for measuring interest rate effects. A stochastic trend measures underlying shifts in productivity nd other supply side trends. The inclusion of important monetary policy regime shifts, which altered the output response to interest rates, and the control for other structural changes (e.g., trade liberalization), address the Lucas critique in forecasting output growth. There are important and persistent effects of high real interest rates, which significantly constrained growth in the 1990s, and significant potential growth benefits from fiscal discipline. South African growth appears to have become more responsive to the exchange rate with increasing trade openness in the 1990s. Copyright 2002, International Monetary Fund

Suggested Citation

  • Janine Aron & John Muellbauer, 2002. "Interest Rate Effects on Output: Evidence from a GDP Forecasting Model for South Africa," IMF Staff Papers, Palgrave Macmillan, vol. 49(Special i), pages 185-213.
    • Handle: RePEc:pal:imfstp:v:49:y:2002:i:si:p:185-213
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    1. Ben S. Bernanke & Mark Gertler, 1995. "Inside the Black Box: The Credit Channel of Monetary Policy Transmission," Journal of Economic Perspectives, American Economic Association, vol. 9(4), pages 27-48, Fall.
    2. Stock, James H. & Watson, Mark W., 1999. "Forecasting inflation," Journal of Monetary Economics, Elsevier, vol. 44(2), pages 293-335, October.
    3. Mario Forni & Lucrezia Reichlin, 1998. "Let's Get Real: A Factor Analytical Approach to Disaggregated Business Cycle Dynamics," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 65(3), pages 453-473.
    4. Bernanke, Ben & Gertler, Mark & Gilchrist, Simon, 1996. "The Financial Accelerator and the Flight to Quality," The Review of Economics and Statistics, MIT Press, vol. 78(1), pages 1-15, February.
    5. Ben S. Bernanke, 1990. "On the predictive power of interest rates and interest rate spreads," New England Economic Review, Federal Reserve Bank of Boston, issue Nov, pages 51-68.
    6. Julio J. Rotemberg & Michael Woodford, 1997. "An Optimization-Based Econometric Framework for the Evaluation of Monetary Policy," NBER Chapters, in: NBER Macroeconomics Annual 1997, Volume 12, pages 297-361, National Bureau of Economic Research, Inc.
    7. John B. Taylor, 1995. "The Monetary Transmission Mechanism: An Empirical Framework," Journal of Economic Perspectives, American Economic Association, vol. 9(4), pages 11-26, Fall.
    8. James G. MacKinnon, 2010. "Critical Values For Cointegration Tests," Working Paper 1227, Economics Department, Queen's University.
    9. Alastair Cunninghan & Andrew G. Haldane, 2002. "The Monetary Transmission Mechanism in the United Kingdom: Pass-Through and Policy Rules," Central Banking, Analysis, and Economic Policies Book Series, in: Norman Loayza & Klaus Schmidt-Hebbel & Norman Loayza (Series Editor) & Klaus Schmidt-Hebbel (Series (ed.),Monetary Policy: Rules and Transmission Mechanisms, edition 1, volume 4, chapter 12, pages 331-356, Central Bank of Chile.
    10. Mr. Gunnar Jonsson, 1999. "Inflation, Money Demand, and Purchasing Power Parity in South Africa," IMF Working Papers 1999/122, International Monetary Fund.
    11. Gertler, Mark & Lown, Cara S, 1999. "The Information in the High-Yield Bond Spread for the Business Cycle: Evidence and Some Implications," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 15(3), pages 132-150, Autumn.
    12. David F. Hendry & Hans-Martin Krolzig, 1999. "Improving on 'Data mining reconsidered' by K.D. Hoover and S.J. Perez," Econometrics Journal, Royal Economic Society, vol. 2(2), pages 202-219.
    13. Sarno, Lucio & Taylor, Mark P., 1998. "Real Interest Rates, Liquidity Constraints and Financial Deregulation: Private Consumption Behavior in the U.K," Journal of Macroeconomics, Elsevier, vol. 20(2), pages 221-242, April.
    14. Kevin D. Hoover & Stephen J. Perez, 1999. "Data mining reconsidered: encompassing and the general-to-specific approach to specification search," Econometrics Journal, Royal Economic Society, vol. 2(2), pages 167-191.
    15. Muellbauer, John N J, 1996. "Income Persistence and Macro-Policy Feedbacks in the U.S," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 58(4), pages 703-733, November.
    16. Bayoumi, Tamim A, 1993. "Financial Deregulation and Consumption in the United Kingdom," The Review of Economics and Statistics, MIT Press, vol. 75(3), pages 536-539, August.
    17. Oriana Bandiera & Gerard Caprio & Patrick Honohan & Fabio Schiantarelli, 2000. "Does Financial Reform Raise or Reduce Saving?," The Review of Economics and Statistics, MIT Press, vol. 82(2), pages 239-263, May.
    18. Ben S. Bernanke & Julio J. Rotemberg (ed.), 1997. "NBER Macroeconomics Annual 1997," MIT Press Books, The MIT Press, edition 1, volume 1, number 026252242x, December.
    19. Weiss, Andrew A., 1991. "Multi-step estimation and forecasting in dynamic models," Journal of Econometrics, Elsevier, vol. 48(1-2), pages 135-149.
    20. Janine Aron & Ibrahim Elbadawi & Brian Kahn, 1998. "Determinants of the real exchange rate in South Africa," CSAE Working Paper Series 1997-16, Centre for the Study of African Economies, University of Oxford.
    21. Hamilton, James D, 1983. "Oil and the Macroeconomy since World War II," Journal of Political Economy, University of Chicago Press, vol. 91(2), pages 228-248, April.
    22. Tkacz, Greg, 2001. "Neural network forecasting of Canadian GDP growth," International Journal of Forecasting, Elsevier, vol. 17(1), pages 57-69.
    23. Mardi Dungey & Adrian Pagan, 2000. "A Structural VAR Model of the Australian Economy," The Economic Record, The Economic Society of Australia, vol. 76(235), pages 321-342, December.
    24. James G. MacKinnon, 1990. "Critical Values for Cointegration Tests," Working Paper 1227, Economics Department, Queen's University.
    25. Michael P. Clements & David F. Hendry, 2001. "Forecasting Non-Stationary Economic Time Series," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262531895, December.
    26. Thomas Doan & Robert B. Litterman & Christopher A. Sims, 1983. "Forecasting and Conditional Projection Using Realistic Prior Distributions," NBER Working Papers 1202, National Bureau of Economic Research, Inc.
    27. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
    28. Hendry, David F & Mizon, Grayham E, 2000. "Reformulating Empirical Macroeconomic Modelling," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 16(4), pages 138-159, Winter.
    29. Janine Aron & John Muellbauer, 2000. "Inflation and output forecasts for South Africa: monetary transmission implications," CSAE Working Paper Series 2000-23, Centre for the Study of African Economies, University of Oxford.
    30. Dungey, Mardi & Pagan, Adrian, 2000. "A Structural VAR Model of the Australian Economy," The Economic Record, The Economic Society of Australia, vol. 76(235), pages 321-342, December.
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    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy

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