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This book aims at meeting the growing demand in the field by introducing the basic spatial econometrics methodologies to a wide variety of researchers. It provides a practical guide that illustrates the potential of spatial econometric modelling, discusses problems and solutions and interprets empirical results.

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1. The Classical Linear Regression Model 2. Some Important Spatial Definitions 3. Spatial Linear Regression Models 4. Further Topics in Spatial Econometrics 5. Alternative Model Specifications for Big Datasets 6. Conclusions: What´s Next?

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Giuseppe Arbia (PhD Cantab) is Full Professor of Economic Statistics at the Università Cattolica del Sacro Cuore of Rome, Italy, and Lecturer of Statistics at the Università della Svizzera Italiana in Lugano, Switzerland. He was formerly Visiting Professor at New York University, USA, and at many other international universities. He has published five books and more than 100 articles on the topic of spatial statistics and econometrics and is currently the Chairman of the Spatial Econometrics Association and the Director of the Spatial Econometrics Advanced Institute.

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