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Core Inflation in the Advanced Economies: A Regional Perspective

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Abstract

We explore differences in the dynamics of core inflation between Europe and North America using a Bayesian time series filter that decomposes the level of core inflation in the major advanced economies into regional, global, and country-specific components. We find a prominent role for both regional and global factors. Historically, the two regional components have at times diverged. Using reduced-form regressions, we examine the economic drivers behind the changes in our estimated global and regional components of U.S. core inflation, focusing on the post-pandemic inflation surge and subsequent pullback. The global component is associated with global supply frictions and past energy shocks. The North American regional component is associated with labor market tightness in the region.

Suggested Citation

  • Daniel O. Beltran & Julio L. Ortiz, 2025. "Core Inflation in the Advanced Economies: A Regional Perspective," International Finance Discussion Papers 1421, Board of Governors of the Federal Reserve System (U.S.).
    • Handle: RePEc:fip:fedgif:1421
    DOI: 10.17016/IFDP.2025.1421
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    References listed on IDEAS

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    1. Del Negro, Marco & Giannone, Domenico & Giannoni, Marc P. & Tambalotti, Andrea, 2019. "Global trends in interest rates," Journal of International Economics, Elsevier, vol. 118(C), pages 248-262.
    2. Jésus Fernández-Villaverde & Tomohide Mineyama & Dongho Song & Jesús Fernández-Villaverde, 2024. "Are We Fragmented Yet? Measuring Geopolitical Fragmentation and Its Causal Effects," CESifo Working Paper Series 11192, CESifo.
    3. Harun Alp & Matthew Klepacz & Akhil Saxena, 2023. "Second-Round Effects of Oil Prices on Inflation in the Advanced Foreign Economies," FEDS Notes 2023-12-15-1, Board of Governors of the Federal Reserve System (U.S.).
    4. Haroon Mumtaz & Saverio Simonelli & Paolo Surico, 2011. "International Comovements, Business Cycle and Inflation: a Historical Perspective," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 14(1), pages 176-198, January.
    5. Parker, Miles, 2018. "How global is “global inflation”?," Journal of Macroeconomics, Elsevier, vol. 58(C), pages 174-197.
    6. 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.
    7. Tommaso Monacelli & Luca Sala, 2009. "The International Dimension of Inflation: Evidence from Disaggregated Consumer Price Data," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 41(s1), pages 101-120, February.
    8. 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.
    9. 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.
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    Keywords

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    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • 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
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • F00 - International Economics - - General - - - General

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