HowdoIinterpretquantileregressioncoefficients? Theshortansweristhatyouinterpretquantileregressioncoefficientsjustlikeyoudoordinaryregression coefficients.Thelongansweristhatyouinterpretquantileregressioncoefficientsalmostjustlikeordinaryregression coefficients. Wecanillustratethiswithacoupleofexamplesusingthehsb2dataset. usehttp:...
Essentially, this method combines a regression model and the Shapley value decomposition approach proposed by Shorrocks [39]. The inequality of the variable of interest measured by Gini coefficient or other inequality indices (i.e., EPD or EID in this study), is attributable to individual ...
To explain the quantile regression model [73,74], a multiple linear regression model was used as a basis, as follows (Equation (2)): Yi = Xi βθ + uθi (2) where Yi is the dependent variable; Xi is the matrix of independent variables; βθ the vector of parameters to be ...