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Can macroeconomists forecast risk? Event-based evidence from the euro area SPF

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  • Kenny, Geoff
  • Kostka, Thomas
  • Masera, Federico

Abstract

We propose methods to evaluate the risk assessments collected as part of the ECB Survey of Professional Forecasters (SPF). Our approach focuses on direction-of-change predictions as well as the prediction of relatively more extreme macroeconomic outcomes located in the upper and lower regions of the predictive densities. For inflation and GDP growth, we find such surveyed densities are informative about future direction of change. Regarding more extreme high and low outcome events, the surveys are really only informative about GDP growth outcomes and at short-horizons. The upper and lower regions of the predictive densities for inflation are much less informative. JEL Classification: C22, C53

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Bibliographic Info

Paper provided by European Central Bank in its series Working Paper Series with number 1540.

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Date of creation: Apr 2013
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Handle: RePEc:ecb:ecbwps:20131540

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Keywords: calibration error; forecast evaluation; probability forecasts; Survey of Professional Forecasters;

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  1. D'Agostino, Antonello & McQuinn, Kieran & Whelan, Karl, 2011. "Are some forecasters really better than others?," MPRA Paper 32938, University Library of Munich, Germany.
  2. Keane, Michael P & Runkle, David E, 1990. "Testing the Rationality of Price Forecasts: New Evidence from Panel Data," American Economic Review, American Economic Association, vol. 80(4), pages 714-35, September.
  3. Anne-Sofie Jore & James Mitchell & Shaun P. Vahey, 2008. "Combining forecast densities from VARs with uncertain instabilities," Working Paper 2008/01, Norges Bank.
  4. Engelberg, Joseph & Manski, Charles F. & Williams, Jared, 2009. "Comparing the Point Predictions and Subjective Probability Distributions of Professional Forecasters," Journal of Business & Economic Statistics, American Statistical Association, vol. 27, pages 30-41.
  5. Andrade, P. & Ghysels, E. & Idier, J., 2012. "Tails of Inflation Forecasts and Tales of Monetary Policy," Working papers 407, Banque de France.
  6. Kenny, Geoff & Kostka, Thomas & Masera, Federico, 2012. "How informative are the subjective density forecasts of macroeconomists?," Working Paper Series 1446, European Central Bank.
  7. James Mitchell & Kenneth F. Wallis, 2011. "Evaluating density forecasts: forecast combinations, model mixtures, calibration and sharpness," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 26(6), pages 1023-1040, 09.
  8. Murphy, Allan H. & Winkler, Robert L., 1992. "Diagnostic verification of probability forecasts," International Journal of Forecasting, Elsevier, vol. 7(4), pages 435-455, March.
  9. Michael Clements, 2006. "Evaluating the survey of professional forecasters probability distributions of expected inflation based on derived event probability forecasts," Empirical Economics, Springer, vol. 31(1), pages 49-64, March.
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