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Is forecasting with large models informative? Assessing the role of judgement in macroeconomic forecasts

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  • Mestre, Ricardo
  • McAdam, Peter

Abstract

We evaluate residual projection strategies in the context of a large-scale macro model of the euro area and smaller benchmark time-series models. The exercises attempt to measure the accuracy of model-based forecasts simulated both out-of-sample and in-sample. Both exercises incorporate alternative residual-projection methods, to assess the importance of unaccounted-for breaks in forecast accuracy and off-model judgment. Conclusions reached are that simple mechanical residual adjustments have a significant impact of forecasting accuracy irrespective of the model in use, ostensibly due to the presence of breaks in trends in the data. The testing procedure and conclusions are applicable to a wide class of models and thus of general interest. JEL Classification: C52, E30, E32, E37

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Paper provided by European Central Bank in its series Working Paper Series with number 0950.

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Date of creation: Oct 2008
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Handle: RePEc:ecb:ecbwps:20080950

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Keywords: Forecast accuracy; Forecast Projections; In-Sample; Macro-model; Out-of-Sample; Structural Break;

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  1. Chryssi Giannitsarou & Eva Carceles-Poveda, 2004. "Adaptive Learning in Practice," Computing in Economics and Finance 2004 271, Society for Computational Economics.
  2. Margaret M. McConnell & Gabriel Perez Quiros, 1998. "Output fluctuations in the United States: what has changed since the early 1980s?," Staff Reports 41, Federal Reserve Bank of New York.
  3. Atsushi Inoue & Lutz Kilian, 2005. "In-Sample or Out-of-Sample Tests of Predictability: Which One Should We Use?," Econometric Reviews, Taylor & Francis Journals, vol. 23(4), pages 371-402.
  4. Brock,W.A. & Durlauf,S.N. & West,K.D., 2004. "Model uncertainty and policy evaluation : some theory and empirics," Working papers 19, Wisconsin Madison - Social Systems.
  5. BAI, Jushan & PERRON, Pierre, 1998. "Computation and Analysis of Multiple Structural-Change Models," Cahiers de recherche 9807, Universite de Montreal, Departement de sciences economiques.
  6. James H. Stock & Mark W. Watson, 1994. "Evidence on structural instability in macroeconomic times series relations," Working Paper Series, Macroeconomic Issues 94-13, Federal Reserve Bank of Chicago.
  7. Ramón Adalid & Günter Coenen & Peter McAdam & Stefano Siviero, 2005. "The Performance and Robustness of Interest-Rate Rules in Models of the Euro Area," International Journal of Central Banking, International Journal of Central Banking, vol. 1(1), May.
  8. Christopher A. Sims, 2002. "The Role of Models and Probabilities in the Monetary Policy Process," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 33(2), pages 1-62.
  9. Stefano Siviero & Daniele Terlizzese, 2007. "Macroeconomic Forecasting: Debunking a Few Old Wives' Tales," Journal of Business Cycle Measurement and Analysis, OECD Publishing,CIRET, vol. 2007(3), pages 287-316.
  10. Peter McAdam & Alpo Willman, 2004. "Supply, Factor Shares and Inflation Persistence: Re-examining Euro-area New-Keynesian Phillips Curves," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 66(s1), pages 637-670, 09.
  11. Clements, Michael P & Hendry, David F, 1996. "Intercept Corrections and Structural Change," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(5), pages 475-94, Sept.-Oct.
  12. Clements, Michael P. & Hendry, David F., 1998. "Forecasting economic processes," International Journal of Forecasting, Elsevier, vol. 14(1), pages 111-131, March.
  13. Todd Clark & Michael McCracken, 2005. "Evaluating Direct Multistep Forecasts," Econometric Reviews, Taylor & Francis Journals, vol. 24(4), pages 369-404.
  14. Dieppe, Alistair & McAdam, Peter, 2006. "Monetary policy under a liquidity trap: Simulation evidence for the euro area," Journal of the Japanese and International Economies, Elsevier, vol. 20(3), pages 338-363, September.
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Cited by:
  1. Henzel, Steffen R. & Mayr, Johannes, 2013. "The mechanics of VAR forecast pooling—A DSGE model based Monte Carlo study," The North American Journal of Economics and Finance, Elsevier, vol. 24(C), pages 1-24.
  2. Christian Ragacs & Martin Schneider, 2009. "Why did we fail to predict GDP during the last cycle? A breakdown of forecast errors for Austria," Working Papers 151, Oesterreichische Nationalbank (Austrian Central Bank).
  3. Hjelm, Göran & Jönsson, Kristian, 2010. "In Search of a Method for Measuring the Output Gap of the Swedish Economy," Working Paper 115, National Institute of Economic Research.
  4. repec:onb:oenbwp:y::i:151:b:1 is not listed on IDEAS
  5. Kevin Clinton & Marianne Johnson & Jaromir Benes & Douglas Laxton & Troy Matheson, 2010. "Structural Models in Real Time," IMF Working Papers 10/56, International Monetary Fund.

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