This paper is concerned with methods for analysing spatial data. After initial discussion on 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 advances in the implementation of spatial econometrics model estimation techniques have made it desirable to compare results, which should correspond between implementations across software applications for the same data. These model estimation techniques are associated with methods for...

Recent advances in the implementation of spatial econometrics model estimation techniques have made it desirable to compare results, which should correspond between implementations across software applications for the same data. These model estimation techniques are associated with methods for...

We examine spatial spillovers between countries in the development of institutions. Our dependent variables are three measures of institutions that relate to politics, law, and governmental administration. The major explanatory variable on which we focus is a spatial lag of the dependent...

The literature on whether new roads cause deforestation in developing countries has grown rapidly. However, improvements rather than new construction are increasingly common. Renovations are undertaken when prior maintenance expenditures have not been adequateor when economic or political...

I have given this paper the title ‘Regional Science in a time of uncertainty’ because that is what it appears to be, very much a time of uncertainty. Uncertainty is always with us, but what I mean is the future is more uncertain than usual. There are multiple unanticipated and threatening...