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 ranges with the realized outcome. This paper proposes a new 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 crucial importance for inflation and unemployment forecasts 18 months into the future. At long horizons the variation of members’ projections contains information which is more relevant for explaining future inflation than information embodied in the midpoint.
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Bibliographic InfoPaper provided by Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung) in its series MAGKS Papers on Economics with number 201213.
Length: 16 pages
Date of creation: 2012
Date of revision:
Publication status: Forthcoming in
Forecast evaluation; interval data; Federal Reserve; monetary policy;
Other versions of this item:
- Henning Fischer & Marta García-Bárzana & Peter Tillmann & Peter Winker, 2014. "Evaluating FOMC forecast ranges: an interval data approach," Empirical Economics, Springer, vol. 47(1), pages 365-388, August.
- 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
This paper has been announced in the following NEP Reports:
- NEP-ALL-2012-03-28 (All new papers)
- NEP-FOR-2012-03-28 (Forecasting)
- NEP-MON-2012-03-28 (Monetary Economics)
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- 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.
- William T. Gavin, 2003.
"FOMC forecast: is all the information in the central tendency?,"
Federal Reserve Bank of St. Louis, issue May, pages 27-46.
- William T. Gavin, 2003. "FOMC forecasts: is all the information in the central tendency?," Working Papers 2003-002, Federal Reserve Bank of St. Louis.
- Carlos Capistrán, 2006.
"Bias in Federal Reserve Inflation Forecasts: Is the Federal Reserve Irrational or Just Cautious?,"
2006-14, Banco de México.
- 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 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.
- Giordani, Paolo & Soderlind, Paul, 2003.
"Inflation forecast uncertainty,"
European Economic Review,
Elsevier, vol. 47(6), pages 1037-1059, December.
- 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 for Economic Research at the University of Munich.
- Kajal Lahiri & Xuguang Sheng, 2009. "Measuring Forecast Uncertainty by Disagreement: The Missing Link," Discussion Papers 09-06, University at Albany, SUNY, Department of Economics.
- Christian Kascha & Francesco Ravazzolo, 2010.
"Combining inflation density forecasts,"
Journal of Forecasting,
John Wiley & Sons, Ltd., vol. 29(1-2), pages 231-250.
- 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.
- 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.
- Michael W. McCracken, 2010. "Using FOMC forecasts to forecast the economy," Economic Synopses, Federal Reserve Bank of St. Louis.
- Gavin, William T. & Mandal, Rachel J., 2003.
"Evaluating FOMC forecasts,"
International Journal of Forecasting,
Elsevier, vol. 19(4), pages 655-667.
- D'Agostino, Antonello & Whelan, Karl, 2007.
"Federal Reserve Information During the Great Moderation,"
Research Technical Papers
8/RT/07, Central Bank of Ireland.
- 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, A & Whelan, K, 2007. "Federal Reserve Information During the Great Moderation," MPRA Paper 6092, University Library of Munich, Germany.
- Antonello D’Agostino & Karl Whelan, 2007. "Federal Reserve Information during the Great Moderation," Working Papers 200722, School Of Economics, University College Dublin.
- 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.
- Carlos Capistrán & Allan Timmermann, 2009.
"Disagreement and Biases in Inflation Expectations,"
Journal of Money, Credit and Banking,
Blackwell Publishing, vol. 41(2-3), pages 365-396, 03.
- 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.
- Carlos CapistrÃ¡n & Allan Timmermann, 2006. "Disagreement and Biases in Inflation Expectations," Computing in Economics and Finance 2006 3, Society for Computational Economics.
- 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.
- 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.
- 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.
- 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.
- Chanont Banternghansa & Michael W. McCracken, 2009. "Forecast disagreement among FOMC members," Working Papers 2009-059, Federal Reserve Bank of St. Louis.
- 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.
- Tillmann, Peter, 2011.
"Strategic forecasting on the FOMC,"
European Journal of Political Economy,
Elsevier, vol. 27(3), pages 547-553, September.
- 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.
- 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
- Mihaela Simionescu, 2014. "M1 and M2 indicators- new proposed measures for the global accuracy of forecast intervals," Computational Methods in Social Sciences (CMSS), "Nicolae Titulescu" University of Bucharest, Faculty of Economic Sciences, vol. 2(1), pages 54-59, June.
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