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 …

This paper reviews a number of conceptual issues pertaining to the implementation of an
explicit “spatial” perspective in applied econometrics. It provides an overview of the …

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 …

Although interest in spatial regression models has surged in recent years, a comprehensive,
up-to-date text on these approaches does not exist. Filling this void, Introduction to Spatial …

In this paper we propose simple diagnostic tests, based on ordinary least-squares (OLS)
residuals, for spatial error autocorrelation in the presence of a spatially lagged dependent …

This chapter provides a survey of the specification and estimation of spatial panel data
models. Five panel data models commonly used in applied research are considered: 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 …

A growing body of evidence shows a causal relationship between extreme weather events
and civil conflict incidence at the global level. We find that this causality is also valid for …

This article outlines a taxonomy of spatial econometric model specifications that incorporate
spatial externalities in various ways. The point of departure is a reduced form in which local …