The importance and relevance of methods to deal with spatial effects in econometric models has received increased recognition, in part due to a renewed interest for the role of space and spatial interaction in social science theory, the availability of large socio-economic data sets with geo-referenced observations, and the development of an efficient and low cost computational technology to handle such observations, in the form of geographical information systems. This volume reflects the state of the art and indicates promising new directions for research and applications. These include alternative model specifications, estimators and tests for regression models and new perspectives on dealing with spatial effects in models with limited dependent variables and space-time data