A new study from the Federal Reserve reveals that consumer sentiment, along with the tone of news, can predict recessions similarly to traditional economic data such as jobs and prices. Released on July 17, the research was conducted by economists from the Federal Reserve Bank of San Francisco, including Nicolas Petrosky-Nadeau, Yeji Sung, and Daniel J. Wilson.
The study, titled "Do Vibes Predict Recessions?" demonstrates that sentiment-based models can sometimes outperform hard data in forecasting economic downturns. Specifically, a sentiment model was found to have a higher accuracy rate than one based solely on hard statistics when looking one month ahead. It also identified a greater proportion of months leading to past recessions, although it generated more false alarms.
The authors emphasize that sentiment data serves as a valuable complement to traditional economic indicators, providing insights that are not captured by hard data alone. The research utilized various sentiment inputs, including consumer surveys and economic-policy uncertainty indices, covering a period from August 1999 to May 2026, which includes three recessions.
For residents and businesses in Howe, Texas, this study highlights the importance of collective mood in understanding economic trends. However, the authors caution that the findings reflect their views and do not indicate an impending recession.
