In this paper, we provide an intensive review of the recent developments for semiparametric
and fully nonparametric panel data models that are linearly separable in the innovation and …

This chapter surveys nonparametric methods for estimation and inference in a panel data
setting. Methods surveyed include profile likelihood, kernel smoothers, as well as series and …

Most research on panel data focuses on mean or quantile regression, while there is not
much research about regression methods based on the mode. In this paper, we propose a …

This paper discusses Yu's (2010) method of Geographically Weighted Panel Regression
(GWPR) and estimates a New Economic Geography (NEG)'wage-type-of equation'derived …

The reduction of CO _2 CO 2 emissions has been at the centre of worldwide debates on
environmental issues, though its inclusion as one of the millennium development goals …

The literature on fixed effects panel interval-valued data models has been established.
However, less attention has been given to models that simultaneously, consider the interval …

Multidimensional panel datasets are routinely employed to identify marginal effects in
empirical research. Fixed effects estimators are typically used to deal with potential …

This chapter summarizes some of the latest research regarding the estimation and inference
of three-dimensional nonparametric and semiparametric panel data models with fixed …

This article considers a semiparametric spatial autoregressive (SAR) panel data model with
fixed effects and time-varying coefficients. The time-varying coefficients are allowed to follow …

Abstract The reduction of $$\hbox {CO} _2 $$ emissions has been at the centre of worldwide
debates on environmental issues, though its inclusion as one of the millennium …