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Further Cross-Country Evidence on the Accuracy of the Private Sector's Output Forecasts

Author

Listed:
  • Grace Juhn

    (International Monetary Fund)

  • Prakash Loungani

    (International Monetary Fund)

Abstract

This paper evaluates the performance of Consensus Forecasts of real GDP growth for a large number of industrialized and developing countries for the time period October 1989 to December 1999. The questions addressed are the following: How accurate are private sector forecasts? How does their accuracy compare with that of the IMF's World Economic Outlook? How well do forecasters predict rare events such as recessions or crises? Is discord among forecasters associated with lower forecast accuracy? Copyright 2002, International Monetary Fund

Suggested Citation

  • Grace Juhn & Prakash Loungani, 2002. "Further Cross-Country Evidence on the Accuracy of the Private Sector's Output Forecasts," IMF Staff Papers, Palgrave Macmillan, vol. 49(1), pages 1-4.
    • Handle: RePEc:pal:imfstp:v:49:y:2002:i:1:p:4
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    Citations

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    Cited by:

    1. Kajal Lahiri & Gultekin Isiklar, 2010. "Estimating International Transmission of Shocks Using GDP Forecasts: India and Its Trading Partners," Discussion Papers 10-06, University at Albany, SUNY, Department of Economics.
    2. Isiklar, Gultekin & Lahiri, Kajal, 2007. "How far ahead can we forecast? Evidence from cross-country surveys," International Journal of Forecasting, Elsevier, vol. 23(2), pages 167-187.
    3. Doug Hostland, "undated". "Fiscal Planning in an Era of Economic Stability," Working Papers-Department of Finance Canada 2003-10, Department of Finance Canada.
    4. Mr. Paolo Mauro & Mr. Torbjorn I. Becker, 2006. "Output Drops and the Shocks That Matter," IMF Working Papers 2006/172, International Monetary Fund.
    5. Khoon Lek Goh & Daniel Lawrence, 2006. "Treasury’s Forecasting Performance: A Head-to-Head Comparison," Treasury Working Paper Series 06/10, New Zealand Treasury.
    6. Sinem Kilic Celik & M. Ayhan Kose & Franziska Ohnsorge, 2023. "Potential Growth Prospects: Risks, Rewards and Policies," CAMA Working Papers 2023-19, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    7. Good, Darrel L. & Irwin, Scott H., 2006. "Understanding USDA Corn and Soybean Production Forecasts: Methods, Performance and Market Impacts over 1970 - 2005," AgMAS Project Research Reports 37514, University of Illinois at Urbana-Champaign, Department of Agricultural and Consumer Economics.
    8. Kajal Lahiri & J. George Wang, 2007. "The value of probability forecasts as predictors of cyclical downturns," Applied Economics Letters, Taylor & Francis Journals, vol. 14(1), pages 11-14.
    9. Good, Darrel L. & Irwin, Scott H., 2005. "Understanding USDA Corn and Soybean Production Forecasts: Methods, Performance and Market Impacts over 1970 - 2004," AgMAS Project Research Reports 14785, University of Illinois at Urbana-Champaign, Department of Agricultural and Consumer Economics.
    10. Mr. Marcos Poplawski Ribeiro & Jan-Christoph Rülke, 2011. "Fiscal Expectations Under the Stability and Growth Pact: Evidence from Survey Data," IMF Working Papers 2011/048, International Monetary Fund.
    11. Loungani, Prakash & Stekler, Herman & Tamirisa, Natalia, 2013. "Information rigidity in growth forecasts: Some cross-country evidence," International Journal of Forecasting, Elsevier, vol. 29(4), pages 605-621.
    12. Giang Ho & Paolo Mauro, 2014. "Rapid Growth in Emerging Markets and Developing Economies: Now and Forever?," Policy Briefs PB14-26, Peterson Institute for International Economics.
    13. Giang Ho & Paolo Mauro, 2016. "Growth—Now and Forever?," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 64(3), pages 526-547, August.

    More about this item

    JEL classification:

    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling
    • E3 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles
    • D8 - Microeconomics - - Information, Knowledge, and Uncertainty

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