A study from the Federal Reserve Bank of San Francisco reveals that consumer sentiment, along with the tone of news coverage, can forecast recessions comparably to traditional economic indicators such as jobs and prices. Released on July 17, the research conducted by economists Nicolas Petrosky-Nadeau, Yeji Sung, and Daniel J. Wilson found that sentiment models often reacted more swiftly to rising recession risks.
The study, titled "Do Vibes Predict Recessions?" indicates that a sentiment-based model outperformed one based solely on hard data when predicting economic downturns one month in advance. While it flagged a larger share of recession risk months ahead, it also resulted in more false alarms. The authors clarify that soft data should complement hard statistics rather than replace them.
The researchers analyzed data from August 1999 to May 2026, covering three recessions, utilizing various sentiment measures including consumer surveys and an economic-policy uncertainty index. For those in Little Elm, Texas, this study provides insight into how collective consumer mood can serve as a meaningful indicator of economic trends, though the authors caution that the findings do not predict an imminent recession.
