… In the first, I discuss the relevance of a separate field of spatial econometrics for applied …
spatial statistics and spatial econometrics. In the second section, I consider the notion of spatial …

… main specifications employed for spatial econometric models and provides a guide to the
literature. The emphasis is on how the spatial structure is embedded in the models, rather than …

Spatial statistics and spatial econometrics have enjoyed fruitful theoretical developments
over the years, beginning in part with the popularizing seminal work of Cliff and Ord [2], which …

… Spatial econometrics should be viewed in a wide sense involving developments of models
… In addition, we include four papers on spatial econometrics that appeared in regular issues …

… the importance and relevance of methods to deal with spatial effects in econometric models
is on the … for future research in spatial econometrics. 1.2 Spatial Effects in Regression Models …

… an important aspect of spatial econometric models is that they allow us to quantify spatial
spillovers, which should be of interest to regional scientists. a simple linear regression …

… We will examine spatial econometric models that rely on this type of formulation in Chapter
… for a taxonomy of these models known as spatial autoregressive models. Anselin (1988) …

… methods in regional science. We have attempted to demonstrate the relevance of a spatial
econometric … We also hope to have further stimulated the interest of applied econometricians …

… This near exponential growth constitutes a sea change in the acceptance of spatial
econometric methods in mainstream empirical economic research, and represents a significant …

… spatial panel models in R and MATLAB, we restrict our consideration to cross-sectional models,
and within that to cross-sectional models … methods for spatial econometric models aside …