In many instances in empirical spatial analysis, the method of choice is a regression
analysis, whereby a variable of interest (the dependent variable) is related in a linear way to …

To enhance the measurement of economic and financial spillovers, we bring together the
spatial and global vector autoregressive (GVAR) classes of econometric models by …

本文目标是采用扩展的整合时空动力学的索罗—斯旺(Solow–Swan) 新古典经济增长模型,
以检验关于经济体的相对区位是否影响经济增长或经济福利的四个不同假设 …

We provide a comprehensive overview of the strengths and weaknesses of different spatial
econometric model specifications in terms of spillover effects. Based on this overview, we …

This paper places the key issues and implications of the new 'introductory'book on spatial
econometrics by James LeSage & Kelley Pace (2009) in a broader perspective: the …

Recent advances in the implementation of spatial econometrics model estimation
techniques have made it desirable to compare results, which should correspond between …

In this paper, I give a personal view on the development of the field of spatial econometrics
during the past 30 years. I argue that it has moved from the margins to the mainstream of …

splm is an R package for the estimation and testing of various spatial panel data
specifications. We consider the implementation of both maximum likelihood and generalized …

This paper estimates location-specific soil salinity in coastal Bangladesh for 2050. The
analysis was conducted in two stages: First, changes in soil salinity for the period 2001 …

This study develops a methodology of inference for a widely used Cliff–Ord type spatial
model containing spatial lags in the dependent variable, exogenous variables, and the …