IDEAS home Printed from https://ideas.repec.org/p/fip/fedgfe/102374.html

Do Anecdotes Matter? Exploring the Beige Book through Textual Analysis from 1970 to 2025

Author

Listed:

Abstract

We apply various natural language processing tools to see if the Beige Book is helpful in understanding economic activity. The Beige Book is a gathering of anecdotal compilations of current economic conditions from each Federal Reserve Bank, which is released to the public prior to FOMC meetings. We find that even controlling for lagged GDP growth and other metrics, the Beige Book sentiment provides meaningful explanatory power in nowcasting GDP growth and forecasting recessions, even more so than the yield spread or other news sentiment measures. The results on economic activity even hold in regional panel analysis. The Beige Book offers many more insights on the economy that can be gathered from even simple keyword tabulations. Topic modeling can also inform us about the different factors driving the narrative across particular periods of interest.

Suggested Citation

  • Shengwu Du & Flora Haberkorn & Isabel Kitschelt & Seung Jung Lee & Anderson Monken & Dylan Saez & Kelsey Shipman & Sandeep Thakur, 2026. "Do Anecdotes Matter? Exploring the Beige Book through Textual Analysis from 1970 to 2025," Finance and Economics Discussion Series 2026-004, Board of Governors of the Federal Reserve System (U.S.).
  • Handle: RePEc:fip:fedgfe:102374
    DOI: 10.17016/FEDS.2026.004
    as

    Download full text from publisher

    File URL: https://www.federalreserve.gov/econres/feds/files/2026004pap.pdf
    File Function: Full text
    Download Restriction: no

    File URL: https://libkey.io/10.17016/FEDS.2026.004?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
    ---><---

    References listed on IDEAS

    as
    1. Yunjong Eo & James Morley, 2023. "Does the Survey of Professional Forecasters Help Predict the Shape of Recessions in Real Time? ," CAMA Working Papers 2023-24, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    2. Eo, Yunjong & Morley, James, 2023. "Does the Survey of Professional Forecasters help predict the shape of recessions in real time?," Economics Letters, Elsevier, vol. 233(C).
    3. Charles S. Gascon & Devin Werner, 2022. "Does the Beige Book Reflect U.S. Employment and Inflation Trends?," Economic Synopses, Federal Reserve Bank of St. Louis, issue 13, pages 1-3, June.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hie Joo Ahn & Yunjong Eo, 2025. "Hysteresis and the Role of Downward Nominal Wage Rigidity: Evidence from U.S. States," Finance and Economics Discussion Series 2025-062r1, Board of Governors of the Federal Reserve System (U.S.), revised 16 Dec 2025.
    2. Arčabić, Vladimir & Panovska, Irina & Tica, Josip, 2024. "Business cycle synchronization and asymmetry in the European Union," Economic Modelling, Elsevier, vol. 139(C).
    3. Kevin L. Kliesen & Devin Werner, 2022. "Using Beige Book Text Analysis to Measure Supply Chain Disruptions," Economic Synopses, Federal Reserve Bank of St. Louis, issue 18, pages 1-2, June.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:102374. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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.