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How Useful is Core Inflation for Forecasting Headline Inflation?

Author Info

Listed author(s):
  • Colin Bermingham

    (Central Bank and Financial Services Authority of Ireland, Dublin)

Registered author(s):

    Abstract

    The paper constructs various core inflation measures. These include various trimmed means using disaggregated data and a structural VAR estimate of core inflation for Ireland. The ability of these core inflation measures to forecast future headline inflation is compared using a regression model. An ARIMA model fitted to the headline inflation rate is used as the benchmark forecast. The forecasts from the ARIMA model are most accurate over short time horizons for monthly data. The structural VAR based estimate is most accurate over longer time horizons. For quarterly data, the structural VAR provides the optimal forecast over all time horizons.

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    File URL: http://www.esr.ie/Vol38_3/04%20Vol%2038%20Bermingham.pdf
    File Function: First version, 2007
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    Article provided by Economic and Social Studies in its journal Economic and Social Review.

    Volume (Year): 38 (2007)
    Issue (Month): 3 ()
    Pages: 355-377

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    Handle: RePEc:eso:journl:v:38:y:2007:i:3:p:355-377
    Contact details of provider: Web page: http://www.esr.ie

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    1. Blanchard, Olivier Jean & Quah, Danny, 1989. "The Dynamic Effects of Aggregate Demand and Supply Disturbances," American Economic Review, American Economic Association, vol. 79(4), pages 655-673, September.
    2. Hogan, Seamus & Marianne Johnson & Thérèse Laflèche, 2001. "Core Inflation," Technical Reports 89, Bank of Canada.
    3. Claus, I., 1997. "A Measure of Underlying Inflation in the United States," Staff Working Papers 97-20, Bank of Canada.
    4. Hilde Christiane Bjørnland, 2001. "Identifying domestic and imported core inflation," Applied Economics, Taylor & Francis Journals, vol. 33(14), pages 1819-1831.
    5. Todd E. Clark, 2001. "Comparing measures of core inflation," Economic Review, Federal Reserve Bank of Kansas City, issue Q II, pages 5-31.
    6. Meyler, Aidan, 1999. "A statistical measure of core inflation," MPRA Paper 11362, University Library of Munich, Germany.
    7. Stephen G. Cecchetti, 1997. "Measuring short-run inflation for central bankers," Review, Federal Reserve Bank of St. Louis, issue May, pages 143-155.
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    Cited by:

    1. Pincheira, Pablo & Selaive, Jorge & Nolazco, Jose Luis, 2016. "The Evasive Predictive Ability of Core Inflation," MPRA Paper 68704, University Library of Munich, Germany.
    2. Bermingham, Colin, 2008. "Quantifying the Impact of Oil Prices on Inflation," Research Technical Papers 8/RT/08, Central Bank of Ireland.

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