This paper uses quantile regression techniques to investigate the temporal dependence patterns of major exchange rates …

techniques is developed for additive models both in a robust mean regression and in a quantile regression framework. Our …This study considers the theoretical bootstrap “coupling” techniques for nonparametric robust smoothers and quantile … regression, and we verify the bootstrap improvement. To handle the curse of dimensionality, a variant of “coupling” bootstrap …

Based on a semiparametric Bayesian framework, a joint-quantile regression method is developed for analyzing clustered …

. Results from quantile regression estimations show significant differences in the relationships between antecedents of …

. This study adopts quantile regression analysis to reexamine variations of the red herring effect on healthcare expenditures …

quantile regression indicate that the effect of R&D and export activity to absorb the additional spillovers is heterogeneous …

loss estimation (MACLE) procedure to conduct quantile regression of PLSIM. We construct an initial consistent quantile … regression estimator of the parametric part base multi-dimensional kernels, and further promote the estimation efficiency to the …

size evolution since the R&D investment for five consecutive years and allowing for firm exit. At all time terms, quantile … regression techniques indicate that a higher R&D has a positive effect on high growers and allows a higher number of firms to be …