Socioeconomic and environmental effects of soybean production in metacoupled systems
Human–environment interactions within and across borders are now more influential than
ever, posing unprecedented sustainability challenges. The framework of metacoupling …
ever, posing unprecedented sustainability challenges. The framework of metacoupling …
Spatial dynamic panel data models with interactive fixed effects
W Shi, L Lee - Journal of Econometrics, 2017 - Elsevier
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 …
individual and time effects with large n and T. The model has a rich spatial structure …
Weak and strong cross‐sectional dependence: A panel data analysis of international technology diffusion
C Ertur, A Musolesi - Journal of Applied Econometrics, 2017 - Wiley Online Library
This paper provides an econometric examination of technological knowledge spillovers
among countries by focusing on the issue of error cross‐sectional dependence, particularly …
among countries by focusing on the issue of error cross‐sectional dependence, particularly …
Advances in spatial econometrics: Parametric vs. semiparametric spatial autoregressive models
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 …
econometric approaches. We focus on the capability of each class of models to fit the main …
Promoting eco-tourism for the green economic recovery in ASEAN
H Zhang, Q Liang, Y Li, P Gao - Economic Change and Restructuring, 2023 - Springer
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 …
The primary purpose of this paper is to evaluate the impacts of the tourism sustainable …
Identifying latent group structures in spatial dynamic panels
L Su, W Wang, X Xu - Journal of Econometrics, 2023 - Elsevier
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 …
We follow Lee and Yu (2010) and consider a rich spatial dynamic panel data (SDPD) model …
Spatial dynamic panel data models with correlated random effects
L Li, Z Yang - Journal of Econometrics, 2021 - Elsevier
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 …
data models with correlated random effects, based on short panels. The unobserved …
Estimation and inference for multi-dimensional heterogeneous panel datasets with hierarchical multi-factor error structure
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 …
dimensional modelling, we develop three dimensional (3D) panel data models with …
Estimation and inference in heterogeneous spatial panels with a multifactor error structure
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 …
models that can account for both spatial dependence and common factors. To tackle the …
Common factors and spatial dependence: an application to US house prices
CF Yang - Econometric Reviews, 2021 - Taylor & Francis
This article considers panel data models with cross-sectional dependence arising from both
spatial autocorrelation and unobserved common factors. It proposes estimation methods that …
spatial autocorrelation and unobserved common factors. It proposes estimation methods that …