Spatial Econometrics and Spatial Statistics

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. - JESUS 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.

• 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