A study from the Federal Reserve has revealed that consumer sentiment and the tone of news coverage can be as effective in predicting recessions as traditional economic indicators like jobs and prices. Conducted by economists from the Federal Reserve Bank of San Francisco, the research was released on July 17 and is titled "Do Vibes Predict Recessions?"
The findings suggest that sentiment can sometimes provide earlier warnings of recession risks. A model based solely on consumer sentiment outperformed one based on hard data when predicting downturns one month in advance. While the sentiment model flagged more months leading up to past recessions, it also had a higher rate of false alarms.
The authors of the study emphasize that soft data serves as a complement to hard statistics, offering unique insights into recession risks. They analyzed data from August 1999 to May 2026, covering three recessions, using various sentiment indicators including consumer surveys and economic-policy uncertainty indices.
For businesses and households, this research provides reassurance that collective economic mood can signal future trends. However, the authors caution that their views do not represent the official stance of the Federal Reserve, and the study focuses on the predictive power of sentiment rather than confirming an impending recession.
