Spatial Econometrics - Grand Format

Spatial Econometrics provides a modern, powerful and flexible skillset to researchers interested in working in this rapidly expanding discipline. It articulates fundamental principles with the current practice of modern spatial econometrics, while maintaining accessibility by limiting the extent of formal proofs. By introducing and formalizing the "need" for models which define spatial interactions, the book provides a comprehensive framework for almost every major dimension of the modern science.
Subjects covered at length include specifications of the weighting matrix, spatial regression models, estimation procedures, and the complications associated with their use. The text also focuses on the specifications of the error term, and estimation under various complications relating to general model specifications and data problems. Tests of hypotheses, systems of equations, and panel data extensions are covered in detail, as are pre-test procedures and Bayesian methodologies.
Throughout, direct applications of spatial models are described, with copious illustrative empirical examples demonstrating how readers might implement spatial analysis in research projects. The work is accompanied by appendices on large sample theory, and the R programming language.