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Forecasting world output: the rising importance of emerging economies

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Author Info

  • Alessandro Borin

    ()
    (Bank of Italy)

  • Riccardo Cristadoro

    ()
    (Bank of Italy)

  • Roberto Golinelli

    ()
    (University of Bologna)

  • Giuseppe Parigi

    ()
    (Bank of Italy)

Abstract

Assessing the global economic outlook is a fundamentally important task of international financial institutions, governments and central banks. In this paper we focus on the consequences of the rapid growth of emerging markets for monitoring and forecasting the global outlook. Our main results are that (i) the rise of the emerging countries has sharply altered the correlation of growth rates among the main economic areas; (ii) this is clearly detectable in forecasting equations as a structural break occurring in the 1990s; (iii) hence, inferences on global developments based solely on the industrialized countries are highly unreliable; (iv) the otherwise cumbersome task of monitoring many – and less studied – countries can be tackled by resorting to very simple bridge models (BM); (v) BM performance is in line with that of the most widely quoted predictions (WEO, Consensus) both before and during the recent crisis; (vi) for some emerging economies, BMs would have provided even better forecasts during the recent crisis.

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Bibliographic Info

Paper provided by Bank of Italy, Economic Research and International Relations Area in its series Temi di discussione (Economic working papers) with number 853.

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Date of creation: Feb 2012
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Handle: RePEc:bdi:wptemi:td_853_12

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Related research

Keywords: GDP forecast; emerging and Asian markets; bridge models; forecasting ability;

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References

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  1. Maximo Camacho & Gabriel Perez-Quiros, 2008. "Introducing the EURO-STING: Short Term INdicator of Euro Area Growth," Banco de Espa�a Working Papers 0807, Banco de Espa�a.
  2. Baffigi, Alberto & Golinelli, Roberto & Parigi, Giuseppe, 2004. "Bridge models to forecast the euro area GDP," International Journal of Forecasting, Elsevier, vol. 20(3), pages 447-460.
  3. Tilak Abeysinghe & Gulasekaran Rajaguru, 2003. "Quarterly Real GDP Estimates for China and ASEAN4 with a Forecast Evaluation," Departmental Working Papers wp0404, National University of Singapore, Department of Economics.
  4. S. Boragan Aruoba & Francis X. Diebold & M. Ayhan Kose & Marco E. Terrones, 2010. "Globalization, the Business Cycle, and Macroeconomic Monitoring," NBER Working Papers 16264, National Bureau of Economic Research, Inc.
  5. Lionel Fontagné & Guillaume Gaulier & Soledad Zignago, 2007. "Specialisation across Varieties within Products and North-South Competition," Working Papers 2007-06, CEPII research center.
  6. Croushore, Dean & Stark, Tom, 2001. "A real-time data set for macroeconomists," Journal of Econometrics, Elsevier, vol. 105(1), pages 111-130, November.
  7. Golinelli, Roberto & Parigi, Giuseppe, 2008. "Real-time squared: A real-time data set for real-time GDP forecasting," International Journal of Forecasting, Elsevier, vol. 24(3), pages 368-385.
  8. Filippo Altissimo & Riccardo Cristadoro & Mario Forni & Marco Lippi & Giovanni Veronese, 2007. "New Eurocoin: Tracking Economic Growth in Real Time," Temi di discussione (Economic working papers) 631, Bank of Italy, Economic Research and International Relations Area.
  9. V. A. Bessonov, 2002. "Transformational Recession and Structural Changes in Russian Industrial Production," Problems of Economic Transition, M.E. Sharpe, Inc., vol. 45(4), pages 6-93, August.
  10. Marcelle Chauvet & Chengxuan Yu, 2006. "International business cycles: G7 and OECD countries," Economic Review, Federal Reserve Bank of Atlanta, issue Q 1, pages 43-54.
  11. Guido Bulligan & Roberto Golinelli & Giuseppe Parigi, 2010. "Forecasting monthly industrial production in real-time: from single equations to factor-based models," Empirical Economics, Springer, vol. 39(2), pages 303-336, October.
  12. G. Rünstler & K. Barhoumi & S. Benk & R. Cristadoro & A. Den Reijer & A. Jakaitiene & P. Jelonek & A. Rua & K. Ruth & C. Van Nieuwenhuyze, 2009. "Short-term forecasting of GDP using large datasets: a pseudo real-time forecast evaluation exercise," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 28(7), pages 595-611.
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Cited by:
  1. Fidrmuc, Jarko & Batorova, Ivana, 2008. "China in the World Economy: Dynamic Correlation Analysis of Business Cycles," Working Paper Series RP2008/02, World Institute for Development Economic Research (UNU-WIDER).
  2. Bhattacharya, Rudrani & Pandey, Radhika & Veronese, Giovanni, 2011. "Tracking India Growth in Real Time," Working Papers 11/90, National Institute of Public Finance and Policy.

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