provinces between 2003 and 2022 and employing generalized quantile regression and spatial econometric models. The relevant …

using the generalized quantile panel regression approach to analyze the impact of identified variables in these selected …. Implementing the generalized quantile panel regression technique can also be expressed as an innovation in this field of literature. …

using the generalized quantile panel regression approach to analyze the impact of identified variables in these selected …. Implementing the generalized quantile panel regression technique can also be expressed as an innovation in this field of literature. …

as an instrument for income and using instrumental variable generalized quantile regressions (IV-GQR). Using data for a …

as an instrument for income and using instrumental variable generalized quantile regressions (IV-GQR). Using data for a …

time series setting in the context of a single-index model for a generalized quantile regression framework. We can thus …

time series setting in the context of a single-index model for a generalized quantile regression framework. We can thus …

time series setting in the context of a single-index model for a generalized quantile regression framework. We can thus …

Generalized quantile regressions, including the conditional quantiles and expectiles as special cases, are useful …. We develop a functional data analysis approach to jointly estimate a family of generalized quantile regressions. Our … approach assumes that the generalized quantile regressions share some common features that can be summarized by a small number …