Improving Inflation Forecasts Using Robust Measures
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DOI: 10.26509/frbc-wp-202223r
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- Brent Meyer & Guhan Venkatu, 2012.
"Trimmed-mean inflation statistics: just hit the one in the middle,"
Working Papers (Old Series)
1217, Federal Reserve Bank of Cleveland.
- Brent Meyer & Guhan Venkatu, 2014. "Trimmed-Mean Inflation Statistics: Just Hit the One in the Middle," FRB Atlanta Working Paper 2014-3, Federal Reserve Bank of Atlanta.
- Knotek, Edward S. & Zaman, Saeed, 2019.
"Financial nowcasts and their usefulness in macroeconomic forecasting,"
International Journal of Forecasting, Elsevier, vol. 35(4), pages 1708-1724.
- Edward S. Knotek & Saeed Zaman, 2017. "Financial Nowcasts and Their Usefulness in Macroeconomic Forecasting," Working Papers (Old Series) 1702, Federal Reserve Bank of Cleveland.
- Ball, Laurence & Mankiw, N Gregory, 1994.
"Asymmetric Price Adjustment and Economic Fluctuations,"
Economic Journal, Royal Economic Society, vol. 104(423), pages 247-261, March.
- Laurence Ball & N. Gregory Mankiw, 1992. "Asymmetric Price Adjustment and Economic Fluctuations," NBER Working Papers 4089, National Bureau of Economic Research, Inc.
- Ball, L. & Mankiw, N.G., 1992. "Asymmetric Price Adjustment and Economic Fluctuations," Harvard Institute of Economic Research Working Papers 1602, Harvard - Institute of Economic Research.
- Michael F. Bryan & Stephen G. Cecchetti, 1994.
"Measuring Core Inflation,"
NBER Chapters, in: Monetary Policy, pages 195-219,
National Bureau of Economic Research, Inc.
- Michael F. Bryan & Stephen G. Cecchetti, 1993. "Measuring Core Inflation," NBER Working Papers 4303, National Bureau of Economic Research, Inc.
- Gary M. Koop, 2013.
"Forecasting with Medium and Large Bayesian VARS,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 28(2), pages 177-203, March.
- Gary Koop, 2010. "Forecasting with Medium and Large Bayesian VARs," Working Paper series 43_10, Rimini Centre for Economic Analysis.
- Gary Koop, 2011. "Forecasting with Medium and Large Bayesian VARs," Working Papers 1117, University of Strathclyde Business School, Department of Economics.
- Koop, Gary, 2011. "Forecasting with Medium and Large Bayesian VARs," SIRE Discussion Papers 2011-38, Scottish Institute for Research in Economics (SIRE).
- Amisano, Gianni & Giacomini, Raffaella, 2007.
"Comparing Density Forecasts via Weighted Likelihood Ratio Tests,"
Journal of Business & Economic Statistics, American Statistical Association, vol. 25, pages 177-190, April.
- Gianni Amisano & Raffaella Giacomini, 2005. "Comparing Density Forecsts via Weighted Likelihood Ratio Tests," Working Papers ubs0504, University of Brescia, Department of Economics.
- David Norman & Anthony Richards, 2012. "The Forecasting Performance of Single Equation Models of Inflation," The Economic Record, The Economic Society of Australia, vol. 88(280), pages 64-78, March.
- Marta Banbura & Domenico Giannone & Lucrezia Reichlin, 2010.
"Large Bayesian vector auto regressions,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(1), pages 71-92.
- Marta Bańbura & Domenico Giannone & Lucrezia Reichlin, 2010. "Large Bayesian vector auto regressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(1), pages 71-92, January.
- Reichlin, Lucrezia & Giannone, Domenico & Banbura, Marta, 2007. "Bayesian VARs with Large Panels," CEPR Discussion Papers 6326, C.E.P.R. Discussion Papers.
- Domenico Giannone & Martha Banbura & Lucrezia Reichlin, 2010. "Large Bayesian vector auto regressions," ULB Institutional Repository 2013/13388, ULB -- Universite Libre de Bruxelles.
- Martha Banbura & Domenico Giannone & Lucrezia Reichlin, 2008. "Large Bayesian VARs," Working Papers ECARES 2008_033, ULB -- Universite Libre de Bruxelles.
- Marta Bańbura, 2008. "Large Bayesian VARs," 2008 Meeting Papers 334, Society for Economic Dynamics.
- Joshua C. C. Chan, 2017.
"The Stochastic Volatility in Mean Model With Time-Varying Parameters: An Application to Inflation Modeling,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 35(1), pages 17-28, January.
- Joshua C.C. Chan, 2015. "The Stochastic Volatility in Mean Model with Time-Varying Parameters: An Application to Inflation Modeling," CAMA Working Papers 2015-07, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Virgiliu Midrigan, 2011.
"Menu Costs, Multiproduct Firms, and Aggregate Fluctuations,"
Econometrica, Econometric Society, vol. 79(4), pages 1139-1180, July.
- Virgiliu Midrigan, 2005. "Menu Costs, Multi-Product Firms and Aggregate Fluctuations," Macroeconomics 0511004, University Library of Munich, Germany.
- Midrigan, Virgiliu, 2006. "Menu costs, multi-product firms, and aggregate fluctuations," CFS Working Paper Series 2007/13, Center for Financial Studies (CFS).
- Tallman, Ellis W. & Zaman, Saeed, 2017.
"Forecasting inflation: Phillips curve effects on services price measures,"
International Journal of Forecasting, Elsevier, vol. 33(2), pages 442-457.
- Ellis W. Tallman & Saeed Zaman, 2015. "Forecasting Inflation: Phillips Curve Effects on Services Price Measures," Working Papers (Old Series) 1519, Federal Reserve Bank of Cleveland.
- Robert J. Gordon, 2011. "The History of the Phillips Curve: Consensus and Bifurcation," Economica, London School of Economics and Political Science, vol. 78(309), pages 10-50, January.
- Jim Dolmas, 2005. "Trimmed mean PCE inflation," Working Papers 0506, Federal Reserve Bank of Dallas.
- Marta Bańbura, 2008.
"Large Bayesian VARs,"
2008 Meeting Papers
334, Society for Economic Dynamics.
- Giannone, Domenico & Reichlin, Lucrezia & Bańbura, Marta, 2008. "Large Bayesian VARs," Working Paper Series 966, European Central Bank.
- Martha Banbura & Domenico Giannone & Lucrezia Reichlin, 2008. "Large Bayesian VARs," Working Papers ECARES 2008_033, ULB -- Universite Libre de Bruxelles.
- Clark, Todd E. & Doh, Taeyoung, 2014. "Evaluating alternative models of trend inflation," International Journal of Forecasting, Elsevier, vol. 30(3), pages 426-448.
- Todd E. Clark & Edward S. Knotek & Saeed Zaman, 2015. "Measuring Inflation Forecast Uncertainty," Economic Commentary, Federal Reserve Bank of Cleveland, vol. 2015(03), pages 1-6, March.
- Elmar Mertens, 2016.
"Measuring the Level and Uncertainty of Trend Inflation,"
The Review of Economics and Statistics, MIT Press, vol. 98(5), pages 950-967, December.
- Elmar Mertens, 2011. "Measuring the level and uncertainty of trend inflation," Finance and Economics Discussion Series 2011-42, Board of Governors of the Federal Reserve System (U.S.).
- Michael F. Bryan & Stephen G. Cecchetti, 1999.
"Inflation And The Distribution Of Price Changes,"
The Review of Economics and Statistics, MIT Press, vol. 81(2), pages 188-196, May.
- Michael F. Bryan & Stephen G. Cecchetti, 1996. "Inflation and the Distribution of Price Changes," NBER Working Papers 5793, National Bureau of Economic Research, Inc.
- Brent Meyer & Saeed Zaman, 2019.
"The usefulness of the median CPI in Bayesian VARs used for macroeconomic forecasting and policy,"
Empirical Economics, Springer, vol. 57(2), pages 603-630, August.
- Brent Meyer & Saeed Zaman, 2016. "The Usefulness of the Median CPI in Bayesian VARs Used for Macroeconomic Forecasting and Policy," FRB Atlanta Working Paper 2016-13, Federal Reserve Bank of Atlanta.
- Shaowen Luo & Daniel Villar, 2021. "The Skewness of the Price Change Distribution: A New Touchstone for Sticky Price Models," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 53(1), pages 41-72, February.
- Saeed Zaman, 2013. "Improving inflation forecasts in the medium to long term," Economic Commentary, Federal Reserve Bank of Cleveland, issue Nov.
- Brent Meyer & Guhan Venkatu & Saeed Zaman, 2013. "Forecasting inflation? Target the middle," Economic Commentary, Federal Reserve Bank of Cleveland, issue Apr.
- Brent Meyer & Mehmet Pasaogullari, 2010. "Simple ways to forecast inflation: what works best?," Economic Commentary, Federal Reserve Bank of Cleveland, issue Dec.
- Daniel R. Carroll & Randal J. Verbrugge, 2019. "Behavior of a New Median PCE Measure: A Tale of Tails," Economic Commentary, Federal Reserve Bank of Cleveland, vol. 2019(10), July.
- Robert W. Rich & Randal J. Verbrugge & Saeed Zaman, 2022. "Adjusting Median and Trimmed-Mean Inflation Rates for Bias Based on Skewness," Economic Commentary, Federal Reserve Bank of Cleveland, vol. 2022(05), pages 1-7, March.
- Smith, Julie K, 2004. "Weighted Median Inflation: Is This Core Inflation?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 36(2), pages 253-263, April.
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More about this item
Keywords
median PCE inflation; trimmed-mean PCE; disaggregate inflation; skewness; forecasting;All these keywords.
JEL classification:
- E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
- E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
- E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
NEP fields
This paper has been announced in the following NEP Reports:- NEP-FOR-2022-08-29 (Forecasting)
- NEP-MON-2022-08-29 (Monetary Economics)
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