A comparison of measures of core inflation
The ability of central banks to differentiate between permanent and transitory price movements is critical for the conduct of monetary policy. The importance of gauging the persistence of price changes in a timely manner has led to the development of measures of underlying, or “core,” inflation that are designed to remove transitory price changes from aggregate inflation data. Given the usefulness of this information to policymakers, there is a surprising lack of consensus on a preferred measure of U.S. core inflation. This article examines several proposed measures of core inflation—the popular ex food and energy series, an ex energy series, a weighted median series, and an exponentially smoothed series—to identify a “best” measure. The authors evaluate the measures’ performance according to criteria such as ease of design and accuracy in tracking trend inflation, as well as explanatory content for within-sample and out-of-sample movements in aggregate CPI and PCE inflation. The study reveals that the candidate series perform very differently across aggregate inflation measures, criteria, and sample periods. The authors therefore find no compelling evidence to focus on one particular measure of core inflation, including the series that excludes food and energy prices. They attribute their results to the design of the individual measures and the measures’ inability to account for variability in the nature and sources of transitory price movements.
Volume (Year): (2007)
Issue (Month): Dec ()
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- Michael Dotsey & Tom Stark, 2005. "The relationship between capacity utilization and inflation," Business Review, Federal Reserve Bank of Philadelphia, issue Q2, pages 8-17.
- Diego Comin & Mark Gertler, 2006.
"Medium-Term Business Cycles,"
American Economic Review,
American Economic Association, vol. 96(3), pages 523-551, June.
- Diego Comin & Mark Gertler, 2003. "Medium Term Business Cycles," NBER Working Papers 10003, National Bureau of Economic Research, Inc.
- Comin, D. & Gertler, M., 2003. "Medium Term Business Cycles," Working Papers 03-05, C.V. Starr Center for Applied Economics, New York University.
- Ghysels, Eric & Guay, Alain & Hall, Alastair, 1998. "Predictive tests for structural change with unknown breakpoint," Journal of Econometrics, Elsevier, vol. 82(2), pages 209-233, February.
- Ghysels, E. & Guay, A. & Hall, A., 1995. "Predictive Tests for Structural Change with Unknown Breakpoint," Cahiers de recherche 9524, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
- Eric Ghysels & Alain Guay & Alastair Hall, 1995. "Predictive Tests for Structural Change with Unknown Breakpoint," CIRANO Working Papers 95s-20, CIRANO.
- Ghysels, E. & Guay, A. & Hall, A., 1995. "Predictive Tests for Structural Change with Unknown Breakpoint," Cahiers de recherche 9524, Universite de Montreal, Departement de sciences economiques.
- Marianne Baxter & Robert G. King, 1999. "Measuring Business Cycles: Approximate Band-Pass Filters For Economic Time Series," The Review of Economics and Statistics, MIT Press, vol. 81(4), pages 575-593, November.
- Marianne Baxter & Robert G. King, 1995. "Measuring Business Cycles Approximate Band-Pass Filters for Economic Time Series," NBER Working Papers 5022, National Bureau of Economic Research, Inc.
- Tom Doan, "undated". "BKFILTER: RATS procedure to implement band pass filter using Baxter-King method," Statistical Software Components RTS00026, Boston College Department of Economics.
- Hogan, Seamus & Marianne Johnson & Thérèse Laflèche, 2001. "Core Inflation," Technical Reports 89, Bank of Canada.
- Robert J. Gordon, 1975. "Alternative Responses of Policy to External Supply Shocks," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 6(1), pages 183-206.
- Robalo Marques, Carlos & Duarte Neves, Pedro & Morais Sarmento, Luis, 2003. "Evaluating core inflation indicators," Economic Modelling, Elsevier, vol. 20(4), pages 765-775, July.
- Pedro Duarte Neves & Luís Morais Sarmento & Carlos Robalo Marques, 1999. "Evaluating core inflation indicators," Economic Bulletin and Financial Stability Report Articles, Banco de Portugal, Economics and Research Department.
- Carlos Robalo Marques & Pedro Duarte Neves & Luís Morais Sarmento, 2000. "Evaluating Core Inflation Indicators," Working Papers w200003, Banco de Portugal, Economics and Research Department.
- Stephen G. Cecchetti & Rita S. Chu & Charles Steindel, 2000. "The unreliability of inflation indicators," Current Issues in Economics and Finance, Federal Reserve Bank of New York, vol. 6(Apr).
- Diebold, Francis X & Mariano, Roberto S, 2002. "Comparing Predictive Accuracy," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 134-144, January.
- Diebold, Francis X & Mariano, Roberto S, 1995. "Comparing Predictive Accuracy," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(3), pages 253-263, July.
- Francis X. Diebold & Robert S. Mariano, 1994. "Comparing Predictive Accuracy," NBER Technical Working Papers 0169, National Bureau of Economic Research, Inc.
- Alan S. Blinder & Ricardo Reis, 2005. "Understanding the Greenspan standard," Proceedings - Economic Policy Symposium - Jackson Hole, Federal Reserve Bank of Kansas City, issue Aug, pages 11-96.
- Alan S. Blinder & Ricardo Reis, 2005. "Understanding the Greenspan Standard," Working Papers 88, Princeton University, Department of Economics, Center for Economic Policy Studies..
- Benigno, Pierpaolo, 2004. "Optimal monetary policy in a currency area," Journal of International Economics, Elsevier, vol. 63(2), pages 293-320, July.
- Benigno, Pierpaolo, 2001. "Optimal Monetary Policy in a Currency Area," CEPR Discussion Papers 2755, C.E.P.R. Discussion Papers.
- Cogley, Timothy, 2002. "A Simple Adaptive Measure of Core Inflation," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 34(1), pages 94-113, February.
- Timothy Cogley, 1998. "A simple adaptive measure of core inflation," Working Papers in Applied Economic Theory 98-06, Federal Reserve Bank of San Francisco.
- Aoki, Kosuke, 2001. "Optimal monetary policy responses to relative-price changes," Journal of Monetary Economics, Elsevier, vol. 48(1), pages 55-80, August.
- Todd E. Clark, 2001. "Comparing measures of core inflation," Economic Review, Federal Reserve Bank of Kansas City, issue Q II, pages 5-31.
- Joanne Cutler, 2001. "Core Inflation in the UK," Discussion Papers 03, Monetary Policy Committee Unit, Bank of England.
- N. Neil K. Khettry & Loretta J. Mester, 2006. "Core inflation as a predictor of total inflation," Research Rap Special Report, Federal Reserve Bank of Philadelphia, issue Apr.
- James Dolmas, 2005. "Trimmed mean PCE inflation," Working Papers 0506, Federal Reserve Bank of Dallas.
- 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. Full references (including those not matched with items on IDEAS)