Spatial Economic Modelling
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Spatial Economic Modelling
This textbook provides an accessible introduction to spatial competition models in economics. It shows students how to understand and apply spatial models to analysis of market design, structure, competition and pricing. The book aims to provide a step-by-step guide to learning and implementing spatial modelling. It provides a concise history of the spatial approach and a self-contained primer chapter on the key game theory tools required to undertake spatial analysis. It then provides a comprehensive explanation of the key traditions and models, including the Hotelling model and related Salop circle model, and demonstrates their various applications to consumer, firm and market interactions. Topics covered in the book include: product differentiation, the physical location of firms, spatial price discrimination, oligopolistic competition, non-uniform distributions of consumers, political competition and the basic Downs model, and the application of spatial models to marketing and management. This book will be a valuable resource for undergraduate students in microeconomics and applied economics, particularly on industrial organization courses.
Spatial Econometric Methods in Agricultural Economics Using R
Modern tools, such as GIS and remote sensing, are increasingly used in the monitoring of agricultural resources. The developments in GIS technology offer growing opportunities to agricultural economics analysts dealing with large and detailed spatial databases, allowing them to combine spatial information from different sources and to produce different models. The availability of these valuable sources of information makes the advanced models suggested in the spatial statistic and econometric literature applicable to agricultural economics. This book aims at supporting stakeholders to design spatial surveys for agricultural data and/or to analyse the geographically collected data. This book attempts to describe the main typology of agricultural data and the most appropriate methods for the analysis, together with a detailed description of the available data sources and their collection methods. Topics such as spatial interpolation, point patterns, spatial autocorrelation, survey data analysis, small area estimation, regional data modelling, and spatial econometrics techniques are covered jointly with issues arising from the integration of several data types. The theory of spatial methods is complemented by real and/or simulated examples implemented through the open-source software R.
A Primer for Spatial Econometrics
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.