A recent study from the Federal Reserve suggests that consumer sentiment, along with the tone of news coverage, can predict recessions nearly as accurately as traditional economic indicators like jobs and prices. This research, conducted by economists at the Federal Reserve Bank of San Francisco, was released on July 17.
The paper, titled "Do Vibes Predict Recessions?", reveals that sentiment models can sometimes outperform hard data models in predicting economic downturns. In particular, a sentiment-based model was found to react more swiftly to increasing recession risks, identifying a greater number of months leading up to previous recessions, although it also resulted in more false alarms.
The researchers emphasize that soft data, such as consumer sentiment and economic-policy uncertainty, should complement traditional economic indicators rather than replace them. Their analysis, which spanned from August 1999 to May 2026 and included data from three recessions, utilized inputs like the University of Michigan consumer surveys and the San Francisco Fed's Daily News Sentiment Index.
For residents and businesses in Anna, Texas, this finding offers some reassurance that collective economic sentiment is a valuable indicator. However, the authors note that the views expressed in the study do not represent the official position of the Federal Reserve, and the research focuses on the predictive power of sentiment, not on forecasting an impending recession.
