We develop a deep learning model to detect emotions embedded in press conferences after the meetings of the Federal Open Market Committee and examine the influence of the detected emotions on financial markets. We find that, after controlling for the Fed's actions and the sentiment in policy...

Using a survey with information treatments conducted in the aftermath of SVB's collapse, we study households' perspectives on bank stability, the potential for panic-driven bank runs, and the role of public communication. When informed about SVB's collapse, households become more likely to...

Using a large-scale survey of U.S. households during the Covid-19 pandemic, we study how new information about fiscal and monetary policy responses to the crisis affects households' expectations. We provide random subsets of participants in the Nielsen Homescan panel with different combinations...