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Forecasting Efficiency: Concepts and Applications

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Author Info
William D. Nordhaus () (Cowles Foundation, Yale University)

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Abstract

The question of forecasting accuracy is, of course, one that has been the subject of numerous investigations over the last two decades. The present study contributes to this line of research in two ways. First, we introduce a new concept, called "forecast efficiency," that measures the extent to which information is incorporated into forecasts. This concept is closely related to concepts of efficiency used in the analysis of stock and other financial markets. The paper proves two readily testable propositions about efficient forecasts. Second, the empirical part of the study examines forecast efficiency by looking at forecast revisions ("fixed-horizon forecasts"), rather than a series of forecasts of different events ("rolling-horizon forecasts") as is the case for most studies of forecasting. This new approach to estimation in certain circumstances will provide a more powerful test of forecast efficiency. A number of fixed-horizon forecasts are collected and these are tested for forecast efficiency.

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Publisher Info
Paper provided by Cowles Foundation, Yale University in its series Cowles Foundation Discussion Papers with number 774.

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Length: 26 pages
Date of creation: Sep 1985
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Publication status: Published in Review of Economics and Statistics (November 1987), 69(4): 667-674
Handle: RePEc:cwl:cwldpp:774

Note: CFP 692.
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Postal: Yale University, Box 208281, New Haven, CT 06520-8281 USA
Phone: (203) 432-3702
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Web page: http://cowles.econ.yale.edu/
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Postal: Cowles Foundation, Yale University, Box 208281, New Haven, CT 06520-8281 USA

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Related research
Keywords: Forecasting accuracy; forecast efficiency; efficient forecasts;

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References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. Arrow, Kenneth J, 1982. "Risk Perception in Psychology and Economics," Economic Inquiry, Oxford University Press, vol. 20(1), pages 1-9, January.
  2. Robert J. Shiller, 1984. "Stock Prices and Social Dynamics," Cowles Foundation Discussion Papers 719R, Cowles Foundation, Yale University. [Downloadable!]
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Cited by:
(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

  1. R.W. Hafer & Scott E. Hein, 1989. "Comparing futures and survey forecasts of near-term Treasury bill rates," Review, Federal Reserve Bank of St. Louis, issue May, pages 33-42. [Downloadable!]
  2. Philip Hans Franses & Henk Kranendonk & Debby Lanser, 2007. "On the optimality of expert-adjusted forecasts," CPB Discussion Papers 92, CPB Netherlands Bureau for Economic Policy Analysis. [Downloadable!]
  3. Clements, Michael P., 2008. "Explanations of the inconsistencies in survey respondents'forecasts," The Warwick Economics Research Paper Series (TWERPS) 870, University of Warwick, Department of Economics. [Downloadable!]
  4. Hasan Bakhshi & George Kapetanios & Anthony Yates, . "Rational expectations and fixed-event forecasts: an application to UK inflation," Bank of England working papers 176, Bank of England. [Downloadable!]
    Other versions:
  5. Fred Joutz & Michael P. Clements & Herman O. Stekler, 2007. "An evaluation of the forecasts of the federal reserve: a pooled approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(1), pages 121-136. [Downloadable!]
  6. Kajal Lahiri & Gultekin Isiklar & Prakash Loungani, 2006. "How quickly do forecasters incorporate news? Evidence from cross-country surveys," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(6), pages 703-725. [Downloadable!]
  7. Michael Groemling, 2005. "Konjunkturprognosen – Verfahren, Erfolgskontrolle und Prognosefehler," Departmental Discussion Papers 123, University of Goettingen, Department of Economics. [Downloadable!]
  8. Andersson, Michael K. & Karlsson, Gustav & Svensson, Josef, 2007. "The Riksbank’s Forecasting Performance," Working Paper Series 218, Sveriges Riksbank (Central Bank of Sweden). [Downloadable!]
  9. David Hendry & Michael P. Clements, 2001. "Economic Forecasting: Some Lessons from Recent Research," Economics Papers 2002-W11, Economics Group, Nuffield College, University of Oxford. [Downloadable!]
    Other versions:
  10. Mateus A. Feitosa & Benjamin M. Tabak, 2007. "Predictability Of Economic Activity Using Yield Spreads: The Case Of Brazil," Anais do XXXV Encontro Nacional de Economia [Proceedings of the 35th Brazilian Economics Meeting] 029, ANPEC - Associação Nacional dos Centros de Pósgraduação em Economia [Brazilian Association of Graduate Programs in Economics]. [Downloadable!]
  11. Reitz, Stefan & Ruelke, Jan & Stadtmann, Georg, 2009. "Are oil-price-forecasters finally right? -- Regressive expectations towards more fundamental values of the oil price," MPRA Paper 15607, University Library of Munich, Germany. [Downloadable!]
  12. Patton, Andrew J & Timmermann, Allan G, 2007. "Learning in Real Time: Theory and Empirical Evidence from the Term Structure of Survey Forecasts," CEPR Discussion Papers 6526, C.E.P.R. Discussion Papers. [Downloadable!] (restricted)
  13. Andrew J. Patton & Allan Timmermann, 2008. "The Resolution of Macroeconomic Uncertainty: Evidence from Survey Forecast," CREATES Research Papers 2008-54, School of Economics and Management, University of Aarhus. [Downloadable!]
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