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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 estimating families of conditional quantile models, thus offering a more complete view of the stochastic relationship among variables. This volume collects 12 outstanding empirical contributions in economics and offers an indispensable introduction to interpretation, implementation, and inference aspects of quantile regression.

Distribution (Probability theory) --- Economics --- Regression analysis. --- Statistical methods. --- Quantitative methods (economics) --- Mathematical statistics --- Econometrics. --- Labor economics. --- Public finance. --- Statistics . --- Labor Economics. --- Public Economics. --- Statistics for Business, Management, Economics, Finance, Insurance. --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Mathematics --- Econometrics --- Cameralistics --- Public finance --- Public finances --- Currency question --- Economics, Mathematical --- Statistics --- Economics - Statistical methods.