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Tracking Trend Inflation: Nonseasonally Adjusted Variants of the Median and Trimmed-Mean CPI

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  • Amy Higgins
  • Randal J. Verbrugge

Abstract

We make five contributions. We demonstrate that extant trimmed-mean and median CPI construction procedures depart from Bureau of Labor Statistics index construction procedures, and that the departures don't make much of a difference. We produce nonseasonally adjusted variants of the trimmed-mean CPI and median CPI, and demonstrate that these are useful real-time estimates of trend inflation; the NSA median CPI outperforms the median CPI, but both SA and NSA variants of the median and the trimmed-mean CPI easily dominate the so-called "core" CPI. We introduce superior ex post measures of trend inflation. We demonstrate that a small amount of time-series averaging reaps large rewards. Finally, we discuss using model-averaging as a new direction for simple and robust trend inflation indicators.

Suggested Citation

  • Amy Higgins & Randal J. Verbrugge, 2015. "Tracking Trend Inflation: Nonseasonally Adjusted Variants of the Median and Trimmed-Mean CPI," Working Papers (Old Series) 1527, Federal Reserve Bank of Cleveland.
  • Handle: RePEc:fip:fedcwp:1527
    DOI: 10.26509/frbc-wp-201527
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    References listed on IDEAS

    as
    1. 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.
    2. Hasan Bakhshi & Tony Yates, 1999. "To trim or not to trim? An application of a trimmmed mean inflation estimator to the United Kingdom," Bank of England working papers 97, Bank of England.
    3. Aucremanne, L., 2000. "The Use of Robust Estimators as Measures of Core Inflation," Papers 2, Warwick - Development Economics Research Centre.
    4. Edward S. Knotek & Saeed Zaman, 2017. "Nowcasting U.S. Headline and Core Inflation," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 49(5), pages 931-968, August.
    5. 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.
    6. Luc Aucremanne, 2000. "The use of robust estimators as measures of core inflation," Working Paper Research 02, National Bank of Belgium.
    7. Alan K. Detmeister, 2011. "The usefulness of core PCE inflation measures," Finance and Economics Discussion Series 2011-56, Board of Governors of the Federal Reserve System (U.S.).
    8. Mark A. Wynne, 2008. "Core inflation: a review of some conceptual issues," Review, Federal Reserve Bank of St. Louis, vol. 90(May), pages 205-228.
    9. Theodore M. Crone & N. Neil K. Khettry & Loretta J. Mester & Jason A. Novak, 2013. "Core Measures of Inflation as Predictors of Total Inflation," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 45(2‐3), pages 505-519, March.
    10. Andrea Brischetto & Anthony Richards, 2006. "The Performance of Trimmed Mean Measures of Underlying Inflation," RBA Research Discussion Papers rdp2006-10, Reserve Bank of Australia.
    11. Michael L. Bagshaw, 1985. "Forecasting and seasonal adjustment," Working Papers (Old Series) 8507, Federal Reserve Bank of Cleveland.
    12. Brent Meyer & Saeed Zaman, 2013. "It’s not just for inflation: The usefulness of the median CPI in BVAR forecasting," Working Papers (Old Series) 1303, Federal Reserve Bank of Cleveland.
    13. 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.
    14. Robert W. Rich & Charles Steindel, 2007. "A comparison of measures of core inflation," Economic Policy Review, Federal Reserve Bank of New York, vol. 13(Dec), pages 19-38.
    15. repec:mcb:jmoncb:v:45:y:2013:i::p:505-519 is not listed on IDEAS
    16. Michael F. Bryan & Stephen G. Cecchetti & Rodney L. Wiggins II, 1997. "Efficient Inflation Estimation," NBER Working Papers 6183, National Bureau of Economic Research, Inc.
    17. Richard Ashley & Randal Verbrugge, 2009. "Frequency Dependence in Regression Model Coefficients: An Alternative Approach for Modeling Nonlinear Dynamic Relationships in Time Series," Econometric Reviews, Taylor & Francis Journals, vol. 28(1-3), pages 4-20.
    18. Brent Meyer & Guhan Venkatu & Saeed Zaman, 2013. "Forecasting inflation? Target the middle," Economic Commentary, Federal Reserve Bank of Cleveland, issue Apr.
    19. Francisco Marcos Rodrigues Figueiredo, 2001. "Evaluating Core Inflation Measures for Brazil," Working Papers Series 14, Central Bank of Brazil, Research Department.
    20. Brent Meyer & Mehmet Pasaogullari, 2010. "Simple ways to forecast inflation: what works best?," Economic Commentary, Federal Reserve Bank of Cleveland, issue Dec.
    21. Randal J. Verbrugge, 1999. "Cross-Sectional Inflation Asymmetries And Core Inflation: A Comment On Bryan And Cecchetti," The Review of Economics and Statistics, MIT Press, vol. 81(2), pages 199-202, May.
    22. 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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    Cited by:

    1. Randal J. Verbrugge, 2021. "Is It Time to Reassess the Focal Role of Core PCE Inflation?," Working Papers 21-10, Federal Reserve Bank of Cleveland.
    2. 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.

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    More about this item

    Keywords

    inflation measurement; trend inflation; time averaging; seasonal adjustment; trimmed-mean inflation estimators;
    All these keywords.

    JEL classification:

    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications

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