Quantile regression is gradually evolving into a comprehensive approach to the statistical analysis of linear and nonlinear response models for conditional quantile functions. Just as classical linear regression methods based on minimizing sums of squared residuals enable one to estimate models...

In this article, we analyze the impact of uncertainty on the hiring process. We show the connection between models of statistical discrimination where uncertainty can work against groups that have less reliable indicators of future productivity and models of option value where uncertainty about...