Motivated by the large differences in labor market outcomes across college majors, we survey the literature on the demand for and return to high school and postsecondary education by field of study. We combine elements from several papers to provide a dynamic model of education and occupation...

This paper develops and applies a method for decomposing cross section variability of earnings into components that are forecastable at the time students decide to go to college (heterogeneity) and components that are unforecastable. About 60% of variability in returns to schooling is...

This paper studies dynamic disclosure when the firm value evolves stochastically over time. The presence of litigation risk, arising from the failure to disclose unfavorable information, not only prompts bad news disclosures but also crowds out good news disclosures. The manager's disclosure...

We compare forecasts from different adaptive learning algorithms and calibrations applied to US real-time data on inflation and growth. We find that the Least Squares with constant gains adjusted to match (past) survey forecasts provides the best overall performance both in terms of forecasting...

This paper studies the reliability of financial reporting when the credibility of the manager, represented by his misreporting propensity, is unknown. We show that credibility concerns affect the time-series of reported earnings, book values, and stock prices in ways that seem consistent with...

In this paper, a model of an ecosystem influenced by a large human population is presented. It is modelled by a discrete time dynamic game with many players and a simple dynamics. The paper proposes a new way to look at the problems of exploitation of ecosystems by many users — using the...

We present a model of stereotypes in which a decision maker assessing a group recalls only that group's most representative or distinctive types relative to other groups. Because stereotypes highlight differences between groups, and neglect likely common types, they are especially inaccurate...

We estimate the relative contribution of recursive preferences versus adaptive learning in accounting for the tail thickness of price–dividends/rents ratios. We find that both of these sources of volatility account for volatility in liquid (stocks) but not illiquid (housing) assets.