A recent study from the Federal Reserve reveals that consumer sentiment and the tone of news can predict recessions similarly to traditional economic data. This research, conducted by economists from the Federal Reserve Bank of San Francisco, highlights the significance of what they term "soft" data in forecasting economic downturns.
Released on July 17, the study, titled "Do Vibes Predict Recessions?" shows that models based solely on sentiment outperformed those relying solely on hard economic indicators in predicting recessions one month in advance. While sentiment models reacted more quickly to rising recession risks, they also generated more false alarms.
The researchers emphasize that soft data serves as a complement to hard statistics, providing valuable insights into recession risks. The analysis utilized various sentiment measures, including consumer surveys and an economic-policy uncertainty index, spanning from August 1999 to May 2026, which encompasses three recessions.
For residents and businesses in The Colony, Texas, this study suggests that understanding collective consumer sentiment may offer more clarity about future economic conditions. However, the authors caution that the findings reflect their views and do not represent the official stance of the Federal Reserve.
