This paper studies dynamic spatial panel data models with common shocks to deal with both
weak and strong cross-sectional correlations. Weak correlations are captured by a spatial …

In China, upper-level healthcare (ULHC) and lower-level healthcare (LLHC) provide
different public medical and health services. Only when these two levels of healthcare …

This paper introduces dynamic panel spatial vector autoregressive models. We study
features of dynamics and spatial interactions that an SVAR model can generate and classify …

Land use is an important factor influencing soil erosion and sediment yield (SESY).
Regressing soil erosion intensity (SEI) and sediment yield (SY) to land use characteristics …

The convergence of carbon emissions in important regions is a key prerequisite for reaching
China's carbon emissions peak target. The Yangtze River Economic Belt (YREB) is the latest …

With the development of the internet, network data with replications can be collected at
different time points. The spatial autoregressive panel (SARP) model is a useful tool for …

This paper investigates the identification and estimation of spatial dynamic panel
simultaneous equations models with simultaneous effects, spatial effects, and time lagged …

This paper introduces a spatial panel quantile model with unobserved heterogeneity. The
proposed model is capable of capturing high-dimensional cross-sectional dependence and …

Spatiotemporal modeling of networks is of great practical importance, with modern
applications in epidemiology and social network analysis. Despite rapid methodological …

This article develops a nonlinear spatial dynamic panel data model with one particularly
interesting application to a structural interaction model for share data. To account for effects …