Spatial Econometrics: Methods and Models

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Springer Science & Business Media, Aug 31, 1988 - Business & Economics - 284 pages
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Spatial econometrics deals with spatial dependence and spatial heterogeneity, critical aspects of the data used by regional scientists. These characteristics may cause standard econometric techniques to become inappropriate. In this book, I combine several recent research results to construct a comprehensive approach to the incorporation of spatial effects in econometrics. My primary focus is to demonstrate how these spatial effects can be considered as special cases of general frameworks in standard econometrics, and to outline how they necessitate a separate set of methods and techniques, encompassed within the field of spatial econometrics. My viewpoint differs from that taken in the discussion of spatial autocorrelation in spatial statistics - e.g., most recently by Cliff and Ord (1981) and Upton and Fingleton (1985) - in that I am mostly concerned with the relevance of spatial effects on model specification, estimation and other inference, in what I caIl a model-driven approach, as opposed to a data-driven approach in spatial statistics. I attempt to combine a rigorous econometric perspective with a comprehensive treatment of methodological issues in spatial analysis.
 

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Contents

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About the author (1988)

Luc Anselin is Regents' Professor and holds the Walter Isard Chair in the School of Geographical Sciences and Urban Planning at Arizona State University, where he also directs the GeoDa Center for Geospatial Analysis and Computation. He has written widely on spatial data analysis and geographic information science, including the 1988 classic on Spatial Econometrics. He is the developer of the SpaceStat and GeoDa software packages, and of the spreg-GeoDaSpace module in the PySAL software. Sergio J. Rey is Professor in the School of Geographical Sciences and Urban Planning at Arizona State University, where he is also a member of the Executive Committee of the GeoDa Center for Geospatial Analysis and Computation. His research deals with the development, implementation, and application of advanced methods of spatial and space-time data analysis. He is the creator of the open source package STARS (Space-Time Analysis of Regional Systems) as well as the co-founder and lead developer of the PySAL library.

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