Human–environment interactions within and across borders are now more influential than
ever, posing unprecedented sustainability challenges. The framework of metacoupling …

This paper studies the estimation of a dynamic spatial panel data model with interactive
individual and time effects with large n and T. The model has a rich spatial structure …

This paper provides an econometric examination of technological knowledge spillovers
among countries by focusing on the issue of error cross‐sectional dependence, particularly …

In this Chapter we provide a critical review of parametric and semiparametric spatial
econometric approaches. We focus on the capability of each class of models to fit the main …

The green economic recovery in post-COVID-19 is a controversial issue among scholars.
The primary purpose of this paper is to evaluate the impacts of the tourism sustainable …

This paper considers the identification of latent group structures in spatial dynamic panels.
We follow Lee and Yu (2010) and consider a rich spatial dynamic panel data (SDPD) model …

In this paper, M-estimation and inference methods are developed for spatial dynamic panel
data models with correlated random effects, based on short panels. The unobserved …

Given the growing availability of large datasets and following recent research trends on multi-
dimensional modelling, we develop three dimensional (3D) panel data models with …

We develop a unifying econometric framework for the analysis of heterogeneous panel data
models that can account for both spatial dependence and common factors. To tackle the …

This article considers panel data models with cross-sectional dependence arising from both
spatial autocorrelation and unobserved common factors. It proposes estimation methods that …