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 …

Abstract The sub-Saharan Africa (SSA) region gathers the most vulnerable countries, which
are criss-crossed geographically, making SSA countries extremely vulnerable to the …

Land is the stage on which all human activity is being conducted and the source of the
materials needed for this conduct. Human use of land resources gives rise to “land use” …

Panel data econometrics continues to be a hot topic in econometrics and has experienced a
lot of growth over the last two decades. Micro-and Macro-panels are increasing in …

While R is the software of choice and the undisputed leader in many fields of statistics, this is
not so in econometrics; yet, its popularity is rising both among researchers and in university …

The first edition of this important work was the winner of the 2002 Publication of Enduring
Quality award by the Association of Environmental and Resource Economists. The …

Cross-sectional spatial models frequently contain a spatial lag of the dependent variable as
a regressor or a disturbance term that is spatially autoregressive. In this article we describe a …

Land change science has emerged as a fundamental component of global environmental
change and sustainability research. This interdisciplinary field seeks to understand the …

This article provides a survey of the specification and estimation of spatial panel data
models. These models include spatial error autocorrelation, or the specification is extended …