Studies in Operational Regional Science Ser.: Spatial Econometrics : Methods and Models by Luc Anselin (1988, Hardcover)

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About this product

Product Identifiers

PublisherSpringer Netherlands
ISBN-109024737354
ISBN-139789024737352
eBay Product ID (ePID)1512385

Product Key Features

Number of PagesXvi, 284 Pages
Publication NameSpatial Econometrics : Methods and Models
LanguageEnglish
SubjectEarth Sciences / Geography, Sociology / General, Econometrics
Publication Year1988
TypeTextbook
Subject AreaSocial Science, Science, Business & Economics
AuthorLuc Anselin
SeriesStudies in Operational Regional Science Ser.
FormatHardcover

Dimensions

Item Weight46.9 Oz
Item Length9.2 in
Item Width6.1 in

Additional Product Features

Intended AudienceScholarly & Professional
Reviews' This book is a very useful and significant contribution to the spatial analysis literature ... I for one will be using it as required supplemental reading in my graduate level spatial statistics course. ' Economic Geography, 1989., 'This book is a very useful and significant contribution to the spatial analysis literature ... I for one will be using it as required supplemental reading in my graduate level spatial statistics course.' Economic Geography, 1989.
Series Volume Number4
Number of Volumes1 vol.
IllustratedYes
Table Of Content1: Introduction.- 2: The Scope of Spatial Econometrics.- 3: The Formal Expression of Spatial Effects.- 4: A Typology of Spatial Econometric Models.- 5: Spatial Stochastic Processes: Terminology and General Properties.- 6: The Maximum Likelihood Approach to Spatial Process Models.- 7: Alternative Approaches to Inference in Spatial Process Models.- 8: Spatial Dependence in Regression Error Terms.- 9: Spatial Heterogeneity.- 10: Models in Space and Time.- 11: Problem Areas in Estimation and Testing for Spatial Process Models.- 12: Operational Issues and Empirical Applications.- 13: Model Validation and Specification Tests in Spatial Econometric Models.- 14: Model Selection in Spatial Econometric Models.- 15: Conclusions.- References.
SynopsisSpatial 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.
LC Classification NumberHB139-141

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