This chapter is concerned with methods for analyzing spatial data. After initial discussion of the nature of spatial data, including the concept of randomness, we focus most of our attention on linear regression models that involve interactions between agents across space. The introduction of...

Recent developments in spatial econometrics have been devoted to spatio-temporal data and how spatial panel data structure should be modeled. Little effort has been devoted to the way one must deal with spatial data pooled over time. This paper presents the characteristics of spatial data pooled...

We examine spatial spillovers in institutional development. Dependent variables are institutional measures reflecting politics, law, and governmental administration. The explanatory variable of interest is the level of institutions in bordering countries—a spatial lag of the dependent...

There is clear evidence about the high level of industrial concentration along the Spanish geography. This paper has the aim to analyse the suitability of traditionally used geographical concentration indexes and to discover which is the correct administrative unit in this type of analysis. A...

Understanding determinants ofland use in developing countries has become a priority for researchers and policy makers with a wide range of interests. For the vast majority of these land use issues, the location of change is as important as its magnitude. This overview paper highlights new...