We develop new matching estimators for estimating causal quantile
exposu...
In this paper, we develop a unified regression approach to model
uncondi...
The analysis of longitudinal data poses a series of issues, but it also ...
In this paper we propose a flexible nested error regression small area m...
M-quantile regression is a general form of quantile-like regression whic...
When doing impact evaluation and making causal inferences, it is importa...
In Small Area Estimation data linkage can be used to combine values of t...
M-quantile random-effects regression represents an interesting approach ...