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Quantile regression is gradually emerging as a unified statistical methodology for estimating models of conditional quantile functions. By complementing the exclusive focus of classical least squares regression on the conditional mean, quantile regression offers a systematic strategy for examining how covariates influence the location, scale and shape of the entire response distribution. This monograph is the first comprehensive treatment of the subject, encompassing models that are linear and nonlinear, parametric and nonparametric. The author has devoted more than 25 years of research to this topic. The methods in the analysis are illustrated with a variety of applications from economics, biology, ecology and finance. The treatment will find its core audiences in econometrics, statistics, and applied mathematics in addition to the disciplines cited above.
Mathematical statistics --- Regression analysis. --- Mathematical statistics. --- Analyse de régression --- Statistique mathématique --- Regression analysis --- 330.115 --- 519.536 --- Mathematics --- Statistical inference --- Statistics, Mathematical --- Statistics --- Probabilities --- Sampling (Statistics) --- Analysis, Regression --- Linear regression --- Regression modeling --- Multivariate analysis --- Structural equation modeling --- Econometrie --- Statistical methods --- 330.115 Econometrie --- Analyse de régression --- Statistique mathématique --- econometrie --- Quantitative methods (economics) --- Business, Economy and Management --- Economics
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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.
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Quantitative methods (economics) --- Mathematical statistics
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