We propose a framework where perceptions of uncertainty are driven by the interaction between cognitive constraints and the way that people learn about it--whether information is presented sequentially or simultaneously. People can learn about uncertainty by observing the distribution of...

We introduce "smooth diagnosticity." Under smooth diagnosticity, agents over-react to new information defined as the difference between the current information set and a previous information set. Since new information typically changes not just the conditional mean, but also the conditional...