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Forecasting growth in eastern Europe and central Asia

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Author Info

  • Franziska Ohnsorge

    (IMF)

  • Yevgeniya

    ()
    (EBRD)

Abstract

Growth forecasts are at the heart of investment decisions and yet in emerging and developing markets they often receive limited support from quantitative models. This paper describes the main quantitative modelling techniques that have informed EBRD growth projections since 2009. The paper describes how bridge models use high-frequency data and the generalised dynamic factor model uses a vast body of cross-country data to nowcast growth. In addition, a Bayesian vector-autoregressive model is used to forecast growth under various scenarios. The paper includes a comparison between the forecasting performance of the model and that of economists, the latter working both at the EBRD and at other institutions.

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Bibliographic Info

Paper provided by European Bank for Reconstruction and Development, Office of the Chief Economist in its series Working Papers with number 137.

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Length: 23 pages
Date of creation: Dec 2011
Date of revision:
Publication status: Published in Working papers 137, European Bank for Reconstruction and Development
Handle: RePEc:ebd:wpaper:137

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Postal: One Exchange Square, London EC2A 2JN
Web page: http://www.ebrd.com/pages/research/publications/workingpapers.shtml
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Related research

Keywords: nowcasting; forecasting; models; eastern Europe;

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References

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  1. Franck Sédillot & Nigel Pain, 2003. "Indicator Models of Real GDP Growth in Selected OECD Countries," OECD Economics Department Working Papers 364, OECD Publishing.
  2. Giannone, Domenico & Reichlin, Lucrezia & Small, David, 2005. "Nowcasting GDP and Inflation: The Real Time Informational Content of Macroeconomic Data Releases," CEPR Discussion Papers 5178, C.E.P.R. Discussion Papers.
  3. Cristadoro, Riccardo & Forni, Mario & Reichlin, Lucrezia & Veronese, Giovanni, 2001. "A Core Inflation Index for the Euro Area," CEPR Discussion Papers 3097, C.E.P.R. Discussion Papers.
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  8. Ara Stepanyan & Era Dabla-Norris & Ashot Anatolii Mkrtchyan, 2009. "A New Keynesian Model of the Armenian Economy," IMF Working Papers 09/66, International Monetary Fund.
  9. Elena Angelini & Marta Banbura & Gerhard Rünstler, 2010. "Estimating and forecasting the euro area monthly national accounts from a dynamic factor model," OECD Journal: Journal of Business Cycle Measurement and Analysis, OECD Publishing,CIRET, vol. 2010(1), pages 1-22.
  10. Villani, Mattias, 2005. "Inference in Vector Autoregressive Models with an Informative Prior on the Steady State," Working Paper Series 181, Sveriges Riksbank (Central Bank of Sweden).
  11. 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.
  12. Jeromin Zettelmeyer & Pär Österholm, 2007. "The Effect of External Conditions on Growth in Latin America," IMF Working Papers 07/176, International Monetary Fund.
  13. Rochelle M. Edge & Refet S. Gurkaynak, 2011. "How useful are estimated DSGE model forecasts?," Finance and Economics Discussion Series 2011-11, Board of Governors of the Federal Reserve System (U.S.).
  14. Golinelli, Roberto & Parigi, Giuseppe, 2005. "Short-Run Italian GDP Forecasting and Real-Time Data," CEPR Discussion Papers 5302, C.E.P.R. Discussion Papers.
  15. Nikola Tasiæ & Miroslav Zdravkoviæ, 2008. "Long-run Exchange Rate Sensitivity of Serbian Exports and Imports," Working papers 17, National Bank of Serbia.
  16. Hahn, Elke, 2002. "Core inflation in the euro area: An application of the generalized dynamic factor model," CFS Working Paper Series 2002/11, Center for Financial Studies (CFS).
  17. Dobrescu, Emilian, 2010. "Macromodel Simulations for the Romanian Economy," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 7-28, July.
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