Evaluating FOMC forecast ranges: an interval data approach
The Federal Open Market Committee (FOMC) of the U.S. Federal Reserve publishes the range of members’ forecasts for key macroeconomic variables, but not the distribution of forecasts within this range. To evaluate these projections, previous papers compare the midpoint of the range with the realized outcome. This paper proposes an alternative approach to forecast evaluation that takes account of the interval nature of projections. It is shown that using the conventional Mincer–Zarnowitz approach to evaluate FOMC forecasts misses important information contained in the width of the forecast interval. This additional information plays a minor role at short forecast horizons but turns out to be of sometimes crucial importance for longer-horizon forecasts. For 18-month-ahead forecasts, the variation of members’ projections contains information that is more relevant for explaining future inflation than information embodied in the midpoint. Likewise, when longer-range forecasts for real GDP growth and the unemployment rate are considered, the width of the forecast interval comprises information over and above the one given by the midpoint alone. Copyright Springer-Verlag Berlin Heidelberg 2014
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Volume (Year): 47 (2014)
Issue (Month): 1 (August)
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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.:
- Gavin, William T. & Mandal, Rachel J., 2003.
"Evaluating FOMC forecasts,"
International Journal of Forecasting,
Elsevier, vol. 19(4), pages 655-667.
- William T. Gavin, 2003.
"FOMC forecasts: is all the information in the central tendency?,"
2003-002, Federal Reserve Bank of St. Louis.
- William T. Gavin, 2003. "FOMC forecast: is all the information in the central tendency?," Review, Federal Reserve Bank of St. Louis, issue May, pages 27-46.
- Michael W. McCracken, 2010. "Using FOMC forecasts to forecast the economy," Economic Synopses, Federal Reserve Bank of St. Louis.
- Tara M. Sinclair & Fred Joutz & Herman O. Stekler, 2009.
"Can the Fed Predict the State of the Economy?,"
2009-001, The George Washington University, Department of Economics, Research Program on Forecasting, revised Mar 2010.
- Karl Whelan & Antonello D'Agostino, 2008.
"Federal Reserve information during the great moderation,"
Open Access publications
10197/252, School of Economics, University College Dublin.
- Antonello D'Agostino & Karl Whelan, 2008. "Federal Reserve Information During the Great Moderation," Journal of the European Economic Association, MIT Press, vol. 6(2-3), pages 609-620, 04-05.
- Karl Whelan & Antonello D'Agostino, 2007. "Federal Reserve information during the great moderation," Open Access publications 10197/235, School of Economics, University College Dublin.
- Antonello D'Agostino & Karl Whelan, 2007. "Federal Reserve Information during the great moderation," Working Papers 200722, School of Economics, University College Dublin.
- D'Agostino, A & Whelan, K, 2007. "Federal Reserve Information During the Great Moderation," MPRA Paper 6092, University Library of Munich, Germany.
- D'Agostino, Antonello & Whelan, Karl, 2007. "Federal Reserve Information During the Great Moderation," Research Technical Papers 8/RT/07, Central Bank of Ireland.
- Blanco-Fernández, Angela & Corral, Norberto & González-Rodríguez, Gil, 2011. "Estimation of a flexible simple linear model for interval data based on set arithmetic," Computational Statistics & Data Analysis, Elsevier, vol. 55(9), pages 2568-2578, September.
- Chanont Banternghansa & Michael W. McCracken, 2009. "Forecast disagreement among FOMC members," Working Papers 2009-059, Federal Reserve Bank of St. Louis.
- Peter Tillmann, 2010.
"Strategic Forecasting on the FOMC,"
MAGKS Papers on Economics
201017, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
- Capistrán, Carlos, 2008.
"Bias in Federal Reserve inflation forecasts: Is the Federal Reserve irrational or just cautious?,"
Journal of Monetary Economics,
Elsevier, vol. 55(8), pages 1415-1427, November.
- Carlos CapistrÃ¡n-Carmona, 2005. "Bias in Federal Reserve Inflation Forecasts: Is the Federal Reserve Irrational or Just Cautious?," Computing in Economics and Finance 2005 127, Society for Computational Economics.
- Carlos Capistrán, 2006. "Bias in Federal Reserve Inflation Forecasts: Is the Federal Reserve Irrational or Just Cautious?," Working Papers 2006-14, Banco de México.
- Carmona, Carlos Capistran, 2005. "Bias in Federal Reserve Inflation Forecasts: Is the Federal Reserve Irrational or Just Cautious?," University of California at San Diego, Economics Working Paper Series qt6v28v0b6, Department of Economics, UC San Diego.
- 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.
- Glenn D. Rudebusch, 2008. "Publishing FOMC economic forecasts," FRBSF Economic Letter, Federal Reserve Bank of San Francisco, issue jan18.
- Yock Y. Chong & David F. Hendry, 1986. "Econometric Evaluation of Linear Macro-Economic Models," Review of Economic Studies, Oxford University Press, vol. 53(4), pages 671-690.
- Whitney K. Newey & Kenneth D. West, 1986.
"A Simple, Positive Semi-Definite, Heteroskedasticity and AutocorrelationConsistent Covariance Matrix,"
NBER Technical Working Papers
0055, National Bureau of Economic Research, Inc.
- Newey, Whitney K & West, Kenneth D, 1987. "A Simple, Positive Semi-definite, Heteroskedasticity and Autocorrelation Consistent Covariance Matrix," Econometrica, Econometric Society, vol. 55(3), pages 703-708, May.
- Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 33(1), pages 125-132.
- Giordani, Paolo & Soderlind, Paul, 2000.
"Inflation Forecast Uncertainty,"
SSE/EFI Working Paper Series in Economics and Finance
384, Stockholm School of Economics, revised 09 Oct 2000.
- Kajal Lahiri & Xuguang Sheng, 2009.
"Measuring Forecast Uncertainty by Disagreement: The Missing Link,"
09-06, University at Albany, SUNY, Department of Economics.
- Kajal Lahiri & Xuguang Sheng, 2010. "Measuring forecast uncertainty by disagreement: The missing link," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(4), pages 514-538.
- Kajal Lahiri & Xuguang Sheng, 2008. "Measuring Forecast Uncertainty by Disagreement: The Missing Link," Ifo Working Paper Series Ifo Working Paper No. 60, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
- David H. Romer, 2009.
"A New Data Set on Monetary Policy: The Economic Forecasts of Individual Members of the FOMC,"
NBER Working Papers
15208, National Bureau of Economic Research, Inc.
- David Romer, 2010. "A New Data Set on Monetary Policy: The Economic Forecasts of Individual Members of the FOMC," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 42(5), pages 951-957, 08.
- Christian Kascha & Francesco Ravazzolo, 2010.
"Combining inflation density forecasts,"
Journal of Forecasting,
John Wiley & Sons, Ltd., vol. 29(1-2), pages 231-250.
- Wieland, Volker & Wolters, Maik Hendrik, 2012.
"Forecasting and policy making,"
IMFS Working Paper Series
62, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
- 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.
- Carlos Capistrán & Allan Timmermann, 2008.
"Disagreement and Biases in Inflation Expectations,"
CREATES Research Papers
2008-56, Department of Economics and Business Economics, Aarhus University.
- Carlos CapistrÃ¡n & Allan Timmermann, 2006. "Disagreement and Biases in Inflation Expectations," Computing in Economics and Finance 2006 3, Society for Computational Economics.
- Carlos Capistrán & Allan Timmermann, 2006. "Disagreement and Biases in Inflation Expectations," Working Papers 2006-07, Banco de México.
- David L. Reifschneider & Peter Tulip, 2007. "Gauging the uncertainty of the economic outlook from historical forecasting errors," Finance and Economics Discussion Series 2007-60, Board of Governors of the Federal Reserve System (U.S.).
- William T. Gavin & Geetanjali Pande, 2008. "FOMC consensus forecasts," Review, Federal Reserve Bank of St. Louis, issue May, pages 149-164.
- Edward N. Gamber & Julie K. Smith, 2007.
"Are the Fed’s Inflation Forecasts Still Superior to the Private Sector’s?,"
2007-002, The George Washington University, Department of Economics, Research Program on Forecasting, revised Jul 2008.
- Gamber, Edward N. & Smith, Julie K., 2009. "Are the Fed's inflation forecasts still superior to the private sector's?," Journal of Macroeconomics, Elsevier, vol. 31(2), pages 240-251, June.
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