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How Well Does "Core" Inflation Capture Permanent Price Changes?

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  • Michael D. Bradley
  • Dennis W. Jansen
  • Tara M. Sinclair

Abstract

Does excluding food and energy prices from the Consumer Price Index (CPI) produce a measure that 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. One of the key aspects of the correlated unobserved components model is that it allows shocks to the permanent component to potentially be more variable than shocks to the series itself, due to offsetting transitory shocks correlated with the permanent shocks. The stationarity of inflation may be time-varying, so we examine the performance of the core measure of inflation for periods during which it appears that inflation is I(1) and for periods during which it appears that inflation is 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, although core inflation does have some drawbacks as a measure of permanent inflation. 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 core CPI is much more volatile than the actual core series and that core excludes volatile permanent shocks to the overall price level.

Suggested Citation

  • Michael D. Bradley & Dennis W. Jansen & Tara M. Sinclair, 2013. "How Well Does "Core" Inflation Capture Permanent Price Changes?," CAMA Working Papers 2013-26, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
  • Handle: RePEc:een:camaaa:2013-26
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    References listed on IDEAS

    as
    1. James C. Morley, 2007. "The Slow Adjustment of Aggregate Consumption to Permanent Income," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(2‐3), pages 615-638, March.
    2. Tara M. Sinclair, 2009. "The Relationships between Permanent and Transitory Movements in U.S. Output and the Unemployment Rate," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 41(2-3), pages 529-542, March.
    3. Andrew T. Levin & Jeremy M. Piger, 2003. "Is inflation persistence intrinsic in industrial economies?," Working Papers 2002-023, Federal Reserve Bank of St. Louis.
    4. Aaron Smith, 2005. "Forecasting in the presence of level shifts," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 24(8), pages 557-574.
    5. Jeremy M. Piger & Robert H. Rasche, 2008. "Inflation: Do Expectations Trump the Gap?," International Journal of Central Banking, International Journal of Central Banking, vol. 4(4), pages 85-116, December.
    6. James Morley & Irina B. Panovska & Tara M. Sinclair, 2013. "Testing Stationarity for Unobserved Components Models," Discussion Papers 2012-41A, School of Economics, The University of New South Wales.
    7. Beveridge, Stephen & 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, Elsevier, vol. 7(2), pages 151-174.
    8. James C. Morley & Charles R. Nelson & Eric Zivot, 2003. "Why Are the Beveridge-Nelson and Unobserved-Components Decompositions of GDP So Different?," The Review of Economics and Statistics, MIT Press, vol. 85(2), pages 235-243, May.
    9. Bradley, Michael D & Jansen, Dennis W, 1986. "Federal Reserve Operating Procedure in the Eighties: A Dynamic Analysis," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 18(3), pages 323-335, August.
    10. James H. Stock & Mark W. Watson, 2007. "Why Has U.S. Inflation Become Harder to Forecast?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(s1), pages 3-33, February.
    11. Stephen Leybourne & Tae-Hwan Kim & Vanessa Smith & Paul Newbold, 2003. "Tests for a change in persistence against the null of difference-stationarity," Econometrics Journal, Royal Economic Society, vol. 6(2), pages 291-311, December.
    12. Kum Hwa Oh & Eric Zivot, 2006. "The Clark Model with Correlated Components," Working Papers UWEC-2006-06, University of Washington, Department of Economics.
    13. Kang Kyu Ho & Kim Chang-Jin & Morley James, 2009. "Changes in U.S. Inflation Persistence," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 13(4), pages 1-23, September.
    14. Nelson, Charles R. & Plosser, Charles I., 1982. "Trends and random walks in macroeconmic time series : Some evidence and implications," Journal of Monetary Economics, Elsevier, vol. 10(2), pages 139-162.
    15. Bodenstein, Martin & Erceg, Christopher J. & Guerrieri, Luca, 2008. "Optimal monetary policy with distinct core and headline inflation rates," Journal of Monetary Economics, Elsevier, vol. 55(Supplemen), pages 18-33, October.
    16. Pivetta, Frederic & Reis, Ricardo, 2007. "The persistence of inflation in the United States," Journal of Economic Dynamics and Control, Elsevier, vol. 31(4), pages 1326-1358, April.
    17. Roberts, John M., 1997. "Is inflation sticky?," Journal of Monetary Economics, Elsevier, vol. 39(2), pages 173-196, July.
    18. James H. Stock & Mark W. Watson, 2007. "Erratum to "Why Has U.S. Inflation Become Harder to Forecast?"," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(7), pages 1849-1849, October.
    19. Michael T. Kiley, 2008. "Estimating the common trend rate of inflation for consumer prices and consumer prices excluding food and energy prices," Finance and Economics Discussion Series 2008-38, Board of Governors of the Federal Reserve System (U.S.).
    20. James Morley & Irina B. Panovska & Tara M. Sinclair, 2014. "Testing Stationarity for Unobserved Components Models," Discussion Papers 2012-41B, School of Economics, The University of New South Wales.
    21. Murray, Christian & Nikolsko-Rzhevskyy, Alex & Papell, David, 2008. "Inflation Persistence and the Taylor Principle," MPRA Paper 11353, University Library of Munich, Germany.
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    1. Links for 05-29-2013
      by Mark Thoma in Economist's View on 2013-05-29 05:03:00

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    Cited by:

    1. Yao, Yao & Ivanovski, Kris & Inekwe, John & Smyth, Russell, 2019. "Human capital and energy consumption: Evidence from OECD countries," Energy Economics, Elsevier, vol. 84(C).
    2. Myers, Robert J. & Johnson, Stanley R. & Helmar, Michael & Baumes, Harry, 2018. "Long-run and short-run relationships between oil prices, producer prices, and consumer prices: What can we learn from a permanent-transitory decomposition?," The Quarterly Review of Economics and Finance, Elsevier, vol. 67(C), pages 175-190.
    3. Giri, Federico, 2022. "The relationship between headline, core, and energy inflation: A wavelet investigation," Economics Letters, Elsevier, vol. 210(C).
    4. Ferreira, Pedro Costa & Mattos, Daiane Marcolino de & Ardeo, Vagner Laerte, 2017. "Triple-Filter core inflation: a measure of the inflation trajectory," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 71(4), December.
    5. James Morley & Irina B. Panovska & Tara M. Sinclair, 2014. "Testing Stationarity for Unobserved Components Models," Discussion Papers 2012-41B, School of Economics, The University of New South Wales.

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    More about this item

    Keywords

    Consumer Price Index; Inflation; Unobserved Components; Food and Energy Prices;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation

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