Forecasting US Recessions in Real-Time Using Regional Economic Sentiment

Measures of regional economic sentiment, extracted from the Beige Book using natural language processing methods, consistently delivered reliable real-time forecasts of US recessions from the mid-1980s through the COVID-19 pandemic recession. Since then, recession risk probabilities have been choppy, with several false alarms. We attribute this unreliability to a post-2021 disconnect between measures of economic activity and the sentiment of business and community leaders.

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Publication Details

Journal
Economic Commentary (Federal Reserve Bank of Cleveland)
Published
2025-11-07
DOI
https://doi.org/10.26509/frbc-ec-202513
Primary Topic
Computational and Text Analysis Methods
Type
article
Field-Weighted Citation Impact
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article

Forecasting US Recessions in Real-Time Using Regional Economic Sentiment

Christian Garciga, James Mitchell
Economic Commentary (Federal Reserve Bank of Cleveland)
Computational and Text Analysis Methods
article

Forecasting US Recessions in Real-Time Using Regional Economic Sentiment

Christian Garciga, James Mitchell
article en

Abstract

Measures of regional economic sentiment, extracted from the Beige Book using natural language processing methods, consistently delivered reliable real-time forecasts of US recessions from the mid-1980s through the COVID-19 pandemic recession. Since then, recession risk probabilities have been choppy, with several false alarms. We attribute this unreliability to a post-2021 disconnect between measures of economic activity and the sentiment of business and community leaders.

Economic Commentary (Federal Reserve Bank of Cleveland)(2025-13)
Federal Reserve Bank of Cleveland (US)
Openalex Percentile: Top 56%
Computational and Text Analysis Methods
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