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Forecast with judgment and models

  • Francesca Monti

    ()

    (ECARES, Université Libre de Bruxelles)

This paper proposes a simple and model-consistent method for combining forecasts generated by structural micro-founded models and judgmental forecasts. The method also enables the judgmental forecasts to be interpreted through the lens of the model. We illustrate the proposed methodology with a real-time forecasting exercise, using a simple neo-Keynesian dynamic stochastic general equilibrium model and prediction from the Survey of Professional Forecasters

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File URL: https://www.nbb.be/doc/oc/repec/reswpp/wp153en.pdf
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Paper provided by National Bank of Belgium in its series Working Paper Research with number 153.

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Length: 44 pages
Date of creation: Dec 2008
Date of revision:
Handle: RePEc:nbb:reswpp:200812-2
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  1. Marco Del Negro & Frank Schorfheide, 2004. "Priors from General Equilibrium Models for VARS," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 45(2), pages 643-673, 05.
  2. Giannone, Domenico & Reichlin, Lucrezia & Small, David H., 2006. "Nowcasting GDP and inflation: the real-time informational content of macroeconomic data releases," Working Paper Series 0633, European Central Bank.
  3. Lars E. O. Svensson & Robert J. Tetlow, 2005. "Optimal policy projections," Finance and Economics Discussion Series 2005-34, Board of Governors of the Federal Reserve System (U.S.).
  4. Lars E.O. Svensson, 2005. "Monetary Policy with Judgment: Forecast Targeting," NBER Working Papers 11167, National Bureau of Economic Research, Inc.
  5. Sims, Christopher A, 2002. "Solving Linear Rational Expectations Models," Computational Economics, Springer;Society for Computational Economics, vol. 20(1-2), pages 1-20, October.
  6. Smets, Frank & Wouters, Raf, 2004. "Forecasting with a Bayesian DSGE model: an application to the euro area," Working Paper Series 0389, European Central Bank.
  7. Bruno, Giancarlo & Lupi, Claudio, 2003. "Forecasting Industrial Production and the Early Detection of Turning Points," Economics & Statistics Discussion Papers esdp03004, University of Molise, Dept. EGSeI.
  8. Marchetti, D.J. & Parigi, G., 1998. "Energy Consumption, Survey Data and the Prediction of Industrial Production in Italy," Papers 342, Banca Italia - Servizio di Studi.
  9. Lars Peter Hansen & Ellen R. McGrattan & Thomas J. Sargent, 1994. "Mechanics of forming and estimating dynamic linear economies," Staff Report 182, Federal Reserve Bank of Minneapolis.
  10. David H. Romer & Christina D. Romer, 2000. "Federal Reserve Information and the Behavior of Interest Rates," American Economic Review, American Economic Association, vol. 90(3), pages 429-457, June.
  11. John C. Robertson & Ellis W. Tallman & Charles H. Whiteman, 2002. "Forecasting using relative entropy," FRB Atlanta Working Paper 2002-22, Federal Reserve Bank of Atlanta.
  12. Diebold, Francis X & Mariano, Roberto S, 2002. "Comparing Predictive Accuracy," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 134-44, January.
  13. Domenico J. Marchetti & Giuseppe Parigi, 1998. "Energy Consumption, Survey Data and the Prediction of Industrial Production in Italy," Temi di discussione (Economic working papers) 342, Bank of Italy, Economic Research and International Relations Area.
  14. Blanchard, Olivier Jean & Kahn, Charles M, 1980. "The Solution of Linear Difference Models under Rational Expectations," Econometrica, Econometric Society, vol. 48(5), pages 1305-11, July.
  15. Mark W. Watson & James H. Stock, 2004. "Combination forecasts of output growth in a seven-country data set," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 23(6), pages 405-430.
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