IDEAS home Printed from https://ideas.repec.org/p/fip/fedgfe/103589.html

Measuring Macroeconomic Stars: A Framework with Scarring Effects

Author

Abstract

Potential output and the natural rate of unemployment are commonly estimated through trend-cycle decompositions, where they are identified as underlying trends reflecting slow-moving supply factors. In this paper, we extend this framework to accommodate the possibility that cyclical disturbances affect trends endogenously through "scarring" effects. Two major changes occur relative to standard specifications. First, a significant share of business-cycle fluctuations is absorbed by endogenous movements in the trends rather than shifts in the cycle. Second, the estimated cycle--relieved of explaining the persistence in real variables--tracks inflation developments more closely, including through a steeper Phillips curve. While this steeper slope implies a strong co-movement between inflation and real activity in response to cyclical shocks, such strong co-movement is rarely apparent in the data. Consequently, the estimation shows a shift toward more sizable changes in the purely supply-driven components of the trends, mirrored by smaller innovations in the cycle process. In turn, this rebalancing entails different historical paths for the activity gaps, carrying important implications for the conduct of monetary policy.

Suggested Citation

  • Manuel Gonzalez-Astudillo & Jean-Philippe Laforte & Antoine Lepetit, 2026. "Measuring Macroeconomic Stars: A Framework with Scarring Effects," Finance and Economics Discussion Series 2026-054, Board of Governors of the Federal Reserve System (U.S.).
  • Handle: RePEc:fip:fedgfe:103589
    DOI: 10.17016/FEDS.2026.054
    as

    Download full text from publisher

    File URL: https://www.federalreserve.gov/econres/feds/files/2026054pap.pdf
    File Function: Full text
    Download Restriction: no

    File URL: https://libkey.io/10.17016/FEDS.2026.054?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:

    • 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
    • C34 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Truncated and Censored Models; Switching Regression Models
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

    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:fedgfe:103589. 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.