The field of spatial econometrics has come to include the methods and models that deal with estimation and testing problems encountered when attempting to implement regional economic models. Those problems are often characterized by the difficulties associated with assessing the importance of spatial dependence and spatial heterogeneity. This book includes contributions on spatial proximity, spatial patterning and in particular the spatial association (dependence) contained in map patterns.
Preface
Notes on the Contributors
PART I: INTRODUCTION
Contributions to Spatial Econometrics and Spatial Statistics; A.Getis & J.Mur
Theoretical Economic Geography and Spatial Econometrics: Bridging the Gap Between Theory and Evidence; B.Fingleton
PART II: SPATIAL ECONOMETRICS ESTIMATION
Spatial Autoregressive Local Estimation; R.K.Pace & J.P.LeSage
Aggregation Bias in Maximum Likelihood estimation of spatial Autoregressive Processes; T.Smith
Econometric Estimation of a Spatial Dynamic Model in Continuous Space and Continuous Time: an Empirical Demonstration; K.P.Donaghy & M.Plotnikova
Using Matrix Exponentials to Estimate Spatial Probit/Tobit Models; J.P.LeSage & R.K.Pace
PART III: SPATIAL DEPENDENCE AND SPATIAL ERRORS
Properties of Tests for Spatial Error Components: A Further Analysis; H.H.Kelejian & Y.Yuzefovich
Some Proposals for Discriminating Between Spatial Processes; F.J.Trivez & J.Mur
Serial and Spatial Error Dependence in Space-Time Models; J.P.Elhorst
Spatial Dependence in the Evolution of Regional Income Distributions; S.J.Rey
PART IV: SPATIAL PATTERNS AND LOCAL SPATIAL ANALYSIS
On Connectropy; J.F.Kaashoek, J.H.P.Paelinck & H.G.Zoller
Locally Weighted Regression and Time-Varying Distance Gradients; D.P.McMillen
The Statistical Significance of the Maximum Local Statistic; P.A.Rogerson
Detecting Spatial Clusters: A Bayesian Approach with Application to Identifying Disability Patterns in Mississippi and Alabama; X-A .Xu & S.Bao
Bibliography
Author Index
Subject Index
ARTHUR GETIS has taught and conducted research at many institutions including the University of Illinois at Urbana-Champaign, Rutgers University, Bristol University, Princeton and Harvard Universities. He is best known for his work on spatial pattern analysis, including the development with J.K. Ord of local spatial statistics.
JESÚS MUR has been an Associate Professor in the Department of Economic Analysis at the University of Zaragoza, Spain since 1986. His current research topics are spatial econometrics, mainly autocorrelation approaches, location tendencies, regional forecast techniques and short-term economic analysis.
HENRY G. ZOLLER is Professor in the Department of Geography at Louvain University (Louvain-la-Neuve, Belgium). Over the last twenty years he has worked on various topics in the fields of spatial economic analysis, multicriteria modelling and policy evaluation in urban planning.