We incorporate diagnostic expectations, a psychologically founded model of overreaction to news, into a workhorse business cycle model with heterogeneous firms and risky debt. A realistic degree of diagnosticity, estimated from the forecast errors of managers of US listed firms, creates...

We conduct a laboratory experiment on the determinants of beliefs about own and others' ability across different domains. A preliminary look at the data points to two distinct forces: miscalibration in estimating performance depending on the difficulty of tasks and gender stereotypes. We develop...

A central question for understanding behaviour during the Covid-19 pandemic, at both the individual and collective levels, is how people perceive the health and economic risks they face. We conducted a survey of over 1,500 Americans from May 6 – 13, 2020, to understand these risk perceptions....

We assemble and analyze a new data set of homeowner insurance claims from 28 independently operated country subsidiaries of a multinational insurance company. A fundamental feature of the data is that such claims are often disputed, and lead to rejections or lower payments. We propose a new...

We revisit several leading puzzles about the aggregate stock market by incorporating into a standard dividend discount model survey expectations of earnings of S&P 500 firms. Using survey expectations, while keeping discount rates constant, explains a significant part of “excess” stock price...

We present a theory in which the choice set cues a consumer to recall a norm, and surprise relative to the norm shapes his attention and choice. We model memory based on Kahana (2012), where past experiences that are more recent or more similar to the cue are recalled and crowd out others. We...