IDEAS home Printed from https://ideas.repec.org/p/fip/fedgif/1421.html
   My bibliography  Save this paper

Core Inflation in the Advanced Economies: A Regional Perspective

Author

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
    as

    Download full text from publisher

    File URL: https://www.federalreserve.gov/econres/ifdp/files/ifdp1421.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.17016/IFDP.2025.1421?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;

    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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:fip:fedgif:1421. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Ryan Wolfslayer ; Keisha Fournillier (email available below). General contact details of provider: https://edirc.repec.org/data/frbgvus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.