Titlebook: Quantile Regression for Cross-Sectional and Time Series Data; Applications in Ener Jorge M. Uribe,Montserrat Guillen Book 2020 The Author(s

万花筒

Cross-sectional Quantile Regression,her than the method, is our practical approach. We fully develop our example, guiding the reader step by step from the previsualization of the data to the interpretation of the coefficients and the diagnostics tests to be performed before and after the estimation of the parameters.

BANAL

2193-1720 nts and practitioners in economics, econometrics and finance.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 w

宣誓书

Book 2020uickly. 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. .  .

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空洞

https://doi.org/10.1007/978-3-030-44504-1Quantile regression; Nonlinear econometrics; Time series; Risk analysis; Cross-sectional data; R applicat

先兆

978-3-030-44503-4The Author(s), under exclusive license to Springer Nature Switzerland AG 2020

白杨鱼

Quantile Regression for Cross-Sectional and Time Series Data978-3-030-44504-1Series ISSN 2193-1720 Series E-ISSN 2193-1739