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How Useful is Core Inflation for Forecasting Headline Inflation?

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  • Colin Bermingham

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

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.

Suggested Citation

  • Colin Bermingham, 2007. "How Useful is Core Inflation for Forecasting Headline Inflation?," The Economic and Social Review, Economic and Social Studies, vol. 38(3), pages 355-377.
    • Handle: RePEc:eso:journl:v:38:y:2007:i:3:p:355-377
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    File URL: http://www.esr.ie/Vol38_3/04%20Vol%2038%20Bermingham.pdf
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    References listed on IDEAS

    as
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    Cited by:

    1. Fulli-Lemaire, Nicolas & Palidda, Ernesto, 2012. "Swapping Headline for Core Inflation: An Asset Liability Management Approach," MPRA Paper 42853, University Library of Munich, Germany, revised 16 Nov 2012.
    2. Pablo Pincheira Brown & Nicolás Hardy, 2024. "Correlation‐based tests of predictability," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(6), pages 1835-1858, September.
    3. Jose Luis Nolazco & Pablo Pincheira & Jorge Selaive, 2016. "The evasive predictive ability of core inflation," Working Papers 15/34, BBVA Bank, Economic Research Department.
    4. Bermingham, Colin, 2008. "Quantifying the Impact of Oil Prices on Inflation," Research Technical Papers 8/RT/08, Central Bank of Ireland.
    5. Pablo Pincheira-Brown & Andrea Bentancor & Nicolás Hardy, 2023. "An Inconvenient Truth about Forecast Combinations," Mathematics, MDPI, vol. 11(18), pages 1-24, September.
    6. Pincheira-Brown, Pablo & Selaive, Jorge & Nolazco, Jose Luis, 2019. "Forecasting inflation in Latin America with core measures," International Journal of Forecasting, Elsevier, vol. 35(3), pages 1060-1071.

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