The work of three leading figures in the early history of econometrics is used to motivate some recent developments in the theory and application of quantile regression. We stress not only the robustness advantages of this form of semiparametric statistical method, but also the opportunity to...

Parametric copulas are shown to be attractive devices for specifying quantile autoregressive models for nonlinear time-series. Estimation of local, quantile-specific copula-based time series models offers some salient advantages over classical global parametric approaches. Consistency and...

Tests based on the quantile regression process can be formulated like the classical Kolmogorov-Smirnov and Cramer-von-Mises tests of goodness-of-fit employing the theory of Bessel processes as in Kiefer (1959). However, it is frequently desirable to formulate hypotheses involving unknown...

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

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

These notes are an informal, first installment in an ongoing project to develop a convenient template for computational experimentation in econometrics. The approach is illustrated by means of an example based on some current research with Steve Portnoy on improving the speed of quantile...

We consider several variants of a likelihood-ratio process for quantile regression designed to test composite hypotheses about the combined influence of several covariates over an entire range of conditional quantile functions. A closely related process is proposed as a goodness-of-fit criterion...

In this paper we analyze data for each Division I National Collegiate Athletic Association (NCAA) school on academic characteristics, athletic characteristics, and graduation rates. Three groups of athletes are studied: male football players, male basketball players, and female basketball...

Quantile regression has emerged as an essential statistical tool of contemporary empirical economics and biostatistics. Complementing classical least squares regression methods which are designed to estimate conditional mean models, quantile regression provides an ensemble of techniques for...