Quantile Regression for Cross-Sectional and Time Series Data
Applications in Energy Markets Using R
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Beschreibung
This brief addresses the estimation of quantile regression models from a practical perspective, which will support researchers who need to use conditional quantile regression to measure economic relationships among a set of variables. It will also benefit students using the methodology for the first time, and practitioners at private or public organizations who are interested in modeling different fragments of the conditional distribution of a given variable. The book pursues a practical approach with reference to energy markets, helping readers learn the main features of the technique more quickly. Emphasis is placed on the implementation details and the correct interpretation of the quantile regression coefficients rather than on the technicalities of the method, unlike the approach used in the majority of the literature. All applications are illustrated with R.
Examines quantile regression models from an implementation and interpretation angle Provides a practical user's guide for researchers, students and practitioners in economics, econometrics and finance Includes replication codes for the examples in R
Autor*in
Jorge M. Uribe
Themen in »Quantile Regression for Cross-Sectional and Time Series Data«
Quantile regression Nonlinear econometrics Time series Risk analysis Cross-sectional data R applications quantitative finance