way of characterizing these interactions, but complicates both interpretation and estimation of parameters of interest …. The estimation of these models leads to three fundamental challenges: the “reflection problem,” the presence of omitted … or spatial differencing—used to address these problems in reduced form estimation. These general lessons carry over to …

collection of methodological and empirical studies, how estimation approaches in this field recently developed, by including the … tools typical of spatial statistics and spatial econometrics, into what LeSage and Pace (2009) deemed as ‘spatial …

This book bridges the gap between economic theory and spatial econometric techniques. It is accessible to those with … economists. This book bridges the gap between economic theory and spatial econometric techniques. It is easy accessible to people …, founded on stochastic fields theory, of the basic spatial linear model, and discusses the violations of the classical …