We consider a cross-calibration test of predictions by multiple potential experts in a stochastic environment. This test checks whether each expert is calibrated conditional on the predictions made by other experts. We show that this test is good in the sense that a true expert - one informed of...

We examine a dynamic disclosure model in which the value of a firm follows a random walk. Every period, with some probability, the manager learns the value and decides whether to disclose it. The manager maximizes the market perception of the firm's value, which is based on disclosed...

Dynamic rational inattention problems used to be difficult to solve. This paper provides simple, analytical results for dynamic rational inattention problems. We start from the benchmark rational inattention problem. An agent tracks a variable of interest that follows a Gaussian process. The...