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HOW WELL DOES “CORE” INFLATION CAPTURE PERMANENT PRICE CHANGES?

Published online by Cambridge University Press:  24 July 2014

Michael D. Bradley ,
Dennis W. Jansen  and
Tara M. Sinclair
Michael D. Bradley
Affiliation:
George Washington University
Dennis W. Jansen
Affiliation:
Texas A&M University
Tara M. Sinclair*
Affiliation:
George Washington University
*
Address correspondence to: Tara M. Sinclair, Department of Economics, Elliott School of International Affairs, George Washington University, Washington, DC 20052, USA; e-mail: tsinc@gwu.edu.
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Abstract

Does excluding food and energy prices from the Consumer Price Index (CPI) produce a measure that better captures permanent price changes? To examine this question, we decompose CPI inflation and “core” inflation into their permanent and transitory components, using a correlated unobserved-components model. The stationarity of inflation may be time-varying, so we examine the performance of the core measure of inflation separately for periods in which inflation is I(1) and I(0). For a period in which inflation appears to be I(1), we find that core inflation and the permanent component of overall inflation are closely related, but there are some caveats. For a period in which inflation appears to be I(0), we decompose the core and overall price levels and find that the permanent component of the core CPI is much more volatile than the actual core series and that the core excludes volatile permanent shocks to the overall price level.

Keywords

Consumer Price IndexInflationUnobserved ComponentsFood and Energy Prices
Type
Articles
Information
Macroeconomic Dynamics , Volume 19 , Special Issue 4: Empirical Analysis of Business Cycles, Financial Markets, and Inflation: Essays in Honor of Charles Nelson , June 2015 , pp. 791 - 815
Copyright
Copyright © Cambridge University Press 2014 

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References

REFERENCES

Beveridge, Stephen and Nelson, Charles R. (1981) A new approach to decomposition of economic time series into permanent and transitory components with particular attention to measurement of the business cycle. Journal of Monetary Economics 72, 151–174.CrossRefGoogle Scholar
Bodenstein, Martin, Erceg, Christopher J., and Guerrieri, Luca (2008) Optimal monetary policy with distinct core and headline inflation rates. Journal of Monetary Economics 55, S18–S33.CrossRefGoogle Scholar
Bradley, Michael D. and Jansen, Dennis W. (1986) Federal reserve operating procedure in the eighties: A dynamic analysis. Journal of Money, Credit and Banking 18 (3), 323–335.CrossRefGoogle Scholar
Bullard, James (2011) Measuring inflation: The core is rotten. Federal Reserve Bank of St. Louis Review 93 (4), 223–233.Google Scholar
CBC News (2009) Inflation, why do prices rise and fall? Your Money (July 17). Available at http://www.cbc.ca/consumer/story/2009/07/17/f-economy-inflation-deflation.html.Google Scholar
Coy, Peter (2008) The great inflation debate. Business Week (June 13). Available at http://www.businessweek.com/bwdaily/dnflash/content/jun2008/db20080613_966843.htm.Google Scholar
Kang, Kyu Ho, Kim, Chang-Jin, and Morley, James C. (2009) Changes in U.S. inflation persistence. Studies in Nonlinear Dynamics and Econometrics 13 (4), 1–21.Google Scholar
Kiley, Michael T. (2008) Estimating the Common Trend Rate of Inflation for Consumer Prices and Consumer Prices Excluding Food and Energy. Board of Governors of the Federal Reserve System finance and economics discussion series 2008–38. Available at www.federalreserve.gov/pubs/feds/2008/200838/200838pap.pdf.CrossRefGoogle Scholar
Kim, Chang-Jin, Manopimoke, Pym, and Nelson, Charles R. (2011) Trend Inflation and the New Keynesian Phillips Curve. Working paper, Hong Kong Institute for Monetary Research. Available at http://www.hkimr.org/uploads/seminars/15/sem_paper_0_430_trendinflnkpc_kmn.pdf.Google Scholar
Levin, T. Andrew and Piger, Jeremy (2003) Is Inflation Persistence Intrinsic in Industrial Economies? Federal Reserve Bank of St. Louis working paper 2002-023.Google Scholar
Leybourne, Stephen, Kim, Tae-Hwan, Smith, Vanessa, and Newbold, Paul (2003) Test for a change in persistence against the null of difference-stationarity. Econometric Journal 6, 291–311.CrossRefGoogle Scholar
McElroy, Tucker S. and Trimbur, Thomas M. (2012) Signal Extraction for Multivariate Nonstationary Time Series. Finance and Economics Discussion Series paper 2012–45. Board of Governors of the Federal Reserve System. Available at http://www.federalreserve.gov/pubs/feds/2012/201245/201245pap.pdf.Google Scholar
Mishkin, Frederic S. (2007) Headline versus Core Inflation in the Conduct of Monetary Policy. Speech delivered at the Business Cycles, International Transmission and Macroeconomic Policies Conference, Montreal, Canada, October 20. Available at http://www.drduru.com/money/SavedFiles/071020_FRB-Speech-Mishkin-Inflation.htm.Google Scholar
Mitra, Sinchan and Sinclair, Tara M. (2012) Output fluctuations in the G-7: An unobserved components approach. Macroeconomic Dynamics 16 (3), 396–422.CrossRefGoogle Scholar
Morley, James C. (1999) A Note on Constraining AR(2) Parameters in Estimation. Manuscript, University of New South Wales Australian School of Business. Available at http://research.economics.unsw.edu.au/jmorley/arc120899.pdf.Google Scholar
Morley, James C. (2007) The slow adjustment of aggregate consumption to permanent income. Journal of Money, Credit and Banking 39, 615–638.CrossRefGoogle Scholar
Morley, James C., Nelson, Charles R., and Zivot, Eric (2003) Why are the Beveridge–Nelson and unobserved-components decompositions of GDP so different? Review of Economics and Statistics 85 (2), 235–243.CrossRefGoogle Scholar
Morley, James C., Panovska, Irina, and Sinclair, Tara M. (2012) Testing Stationarity for an Unobserved Components Model. Working paper. Available at http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2162268.Google Scholar
Morley, James C., Piger, Jeremy, and Rasche, Robert (2011) Inflation in the G7: Mind the Gap(s)? St. Louis Federal Reserve working paper 2011-011.CrossRefGoogle Scholar
Murray, Christian, Nikolsko-Rzhevskyy, Alex, and Papell, David (2008) Inflation Persistence and the Taylor Principle. Working paper, University of Houston.Google Scholar
Nelson, Charles R. and Plosser, Charles R. (1982) Trends and random walks in macroeconomic time series. Journal of Monetary Economics 10, 139–162.CrossRefGoogle Scholar
Oh, Kum Hwa and Zivot, Eric (2006). The Clark Model with Correlated Components. Working paper, University of Washington. Available at http://papers.ssrn.com/sol3/papers.cfm?abstract_id=877398.Google Scholar
Oh, Kum Hwa, Zivot, Eric, and Creal, Drew (2008) The relationship between the Beveridge–Nelson decomposition and other permanent–transitory decompositions that are popular in economics. Journal of Econometrics 146 (2), 207–219.CrossRefGoogle Scholar
James, Picerno (2005) In core we trust? The Capital Spectator (November 29). Available at http://www.capitalspectator.com/archives/2005/11/in_core_we_trus.html.Google Scholar
Piger, Jeremy and Rasche, Robert (2008) Inflation: Do expectations trump the gap? International Journal of Central Banking 4, 85–116.Google Scholar
Pivetta, Frederic and Reis, Ricardo (2007) The persistence of inflation in the United States. Journal of Economic Dynamics and Control 31 (4), 1326–1358.CrossRefGoogle Scholar
Roberts, John M. (1997) Is inflation sticky? Journal of Monetary Economics 39 (2), 173–196.CrossRefGoogle Scholar
Sinclair, Tara M. (2009) The relationships between permanent and transitory movements in U.S. output and the unemployment rate. Journal of Money, Credit and Banking 41 (2–3), 529–542.CrossRefGoogle Scholar
Smith, Aaron (2005) Forecasting in the presence of level shifts. Journal of Forecasting 24: 557–574.CrossRefGoogle Scholar
Stock, James H. and Watson, Mark W. (2007) Why has U.S. inflation become harder to forecast? Journal of Money, Credit and Banking 39 (1), 3–33.CrossRefGoogle Scholar