Evaluating FOMC forecast ranges: an interval data approach
AbstractThe 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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- Henning Fischer & Marta García-Bárzana & Peter Tillmann & Peter Winker, 2012. "Evaluating FOMC forecast ranges: an interval data approach," MAGKS Papers on Economics 201213, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
- C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
- E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
- E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies
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- 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.
- 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.
- Carlos Capistrán, 2006. "Bias in Federal Reserve Inflation Forecasts: Is the Federal Reserve Irrational or Just Cautious?," Working Papers 2006-14, Banco de México.
- 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.
- Söderlind, Paul, 2000.
"Inflation Forecast Uncertainty,"
CEPR Discussion Papers
2499, C.E.P.R. Discussion Papers.
- 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 703-08, 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.
- William T. Gavin & Rachel J. Mandal, 2002.
"Evaluating FOMC forecasts,"
2001-005, Federal Reserve Bank of St. Louis.
- 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.
- Carlos Capistrán & Allan Timmermann, 2008. "Disagreement and Biases in Inflation Expectations," CREATES Research Papers 2008-56, School of Economics and Management, University of Aarhus.
- Kajal Lahiri & Xuguang Sheng, 2008.
"Measuring Forecast Uncertainty by Disagreement: The Missing Link,"
Ifo Working Paper Series
Ifo Working Paper No. 60, Ifo Institute for Economic Research at the University of Munich.
- 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, 2009. "Measuring Forecast Uncertainty by Disagreement: The Missing Link," Discussion Papers 09-06, University at Albany, SUNY, Department of Economics.
- Antonello D’Agostino & Karl Whelan, 2007.
"Federal Reserve Information during the Great Moderation,"
200722, 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.
- D'Agostino, Antonello & Whelan, Karl, 2007. "Federal Reserve Information During the Great Moderation," Research Technical Papers 8/RT/07, Central Bank of Ireland.
- D'Agostino, A & Whelan, K, 2007. "Federal Reserve Information During the Great Moderation," MPRA Paper 6092, University Library of Munich, Germany.
- 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.
- Edward N. Gamber & Julie K. Smith, 2007. "Are the Fed’s Inflation Forecasts Still Superior to the Private Sector’s?," Working Papers 2007-002, The George Washington University, Department of Economics, Research Program on Forecasting, revised Jul 2008.
- Tara Sinclair & Frederick L. Joutz, 2009.
"Can the Fed Predict the State of the Economy?,"
2008-06, The George Washington University, Institute for International Economic Policy.
- 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.
- 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.
- Tillmann, Peter, 2011.
"Strategic forecasting on the FOMC,"
European Journal of Political Economy,
Elsevier, vol. 27(3), pages 547-553, September.
- Chanont Banternghansa & Michael W. McCracken, 2009. "Forecast disagreement among FOMC members," Working Papers 2009-059, Federal Reserve Bank of St. Louis.
- Michael W. McCracken, 2010. "Using FOMC forecasts to forecast the economy," Economic Synopses, Federal Reserve Bank of St. Louis.
- 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.
- Wieland, Volker & Wolters, Maik Hendrik, 2012. "Forecasting and policy making," IMFS Working Paper Series 62, Institute for Monetary and Financial Stability (IMFS), Goethe University Frankfurt.
- 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.
- 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, 2008.
"Combining inflation density forecasts,"
2008/22, Norges Bank.
- Chong, Yock Y & Hendry, David F, 1986. "Econometric Evaluation of Linear Macro-Economic Models," Review of Economic Studies, Wiley Blackwell, vol. 53(4), pages 671-90, August.
- William T. Gavin & Geetanjali Pande, 2008. "FOMC consensus forecasts," Review, Federal Reserve Bank of St. Louis, issue May, pages 149-164.
- Bratu, Mihaela, 2013. "The Assessment And Improvement Of The Accuracy For The Forecast Intervals," Working Papers of Macroeconomic Modelling Seminar 132602, Institute for Economic Forecasting.
- repec:ntu:ntugeo:vol2-iss1-14-054 is not listed on IDEAS
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