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Call for Authors – ‘Spatial Econometrics and Spatial Statistics’ Book Series
Series Editor: Giuseppe Arbia
Editorial Advisory Board: Luc Anselin, Badi Baltagi, Raymond Florax, Dan Griffith, James LeSage, Daniel McMillen, Ingmar Prucha
Spatial Econometrics and Spatial Statistics consolidates the dispersed methodological contributions of the growing field, unifying a body of empirical content relevant to graduate and PhD students conducting spatial research or studying spatial problems.
Primarily focusing on high-level original research publishing in monographs and edited handbooks, the series address themes from within classical spatial econometrics and spatial statistical approaches as well as novel research developed in response to changing technologies. Volumes cover classical methods and techniques for the analysis of regression models using data observed both within discrete portions of space and on individuals. They also describe models and theoretical instruments used to analyse various spatially-relevant economic effects such as externalities, spillovers, interactions, peer effects, copycatting, network effects, spatial concentration and many others.
Methods developed within the series transcend the paradigm of conventional regression models, and include cluster analysis and other multivariate methods, probability auto-models, simultaneous testing issues, error propagation, finite sample bias correction and bootstrap, dynamic spatial panels, endogeneous spatial weight matrices, cross-sectional dependence and factor models, social networks, point pattern analysis and Bayesian estimation methods. Computational approaches for econometric spatial analysis are covered extensively and at volume length, including both individual programming languages as well as critical comparison of them.
Adding the rigor and expertise of spatial econometricians and spatial statisticians to spatially-relevant problems from both econometrics and related disciplines, audiences will stretch across regional economics, transportation, criminology, public finance, industrial organization, political sciences, psychology, agricultural economics, health economics, demography, epidemiology, managerial economics, urban planning, education, land use, social sciences, economic development, innovation diffusion, environmental studies, history, labor, resources and energy economics, food security, real estate, and marketing.
Key features of Series Volumes:
- Focuses on original research and systematic reviews, in monograph-length contributions and edited handbooks.
- Concentrates on the most empirically relevant spatial econometric theory but limiting lengthy proofs and obscure theory.
- Emphasizes ‘how-to’ methods and empirical applications, often in specific disciplinary contexts and problem sets.
- Evaluates, compares and contrasts the use of spatially-relevant, mathematically-intensive computer programs and datasets.
- Enhances the research outputs of non-specialized but spatially-interested researchers by linking to the rigor and expertise of spatial econometricians and spatial statisticians.
For prospective authors interested in publishing their work in this series, please contact Senior Acquisitions Editor Graham Nisbet (G.Nisbet@elsevier.com).
Economics & Finance
In the 21st century, both personal fortunes and global economies are tied more tightly than ever to corporate businesses and financial markets. For scholars and professionals, a solid grounding in economics and finance is critical, as is up-to-date knowledge of technology, law, and corporate structures and practices in these swiftly evolving fields. Elsevier provides content written by leading experts on key topics of currency exchange, bank regulation, mergers and acquisitions, entrepreneurship, real estate, environmental economics, industry development, project finance, and more. We also produce essential handbooks on the economics of health care, agriculture, education, and a wide spectrum of other areas of public policy.