Spatial Econometrics and Spatial Statistics - A. Getis

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Résumé :
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 local map patterns.

Biographie:
SHUMING BAO Senior Researcher, China Data Centre, University of Michigan, USA KIERAN P. DONAGHY Department of Urban and Regional Planning, University of Illinois at Urbana-Champaign, USA J. PAUL ELHORST Associate Professor of Regional and Labour Economics, University of Groningen, The Netherlands BERNARD FINGLETON Department of Land Economy, University of Cambridge, UK JOHAN F. KAASHOEK Associate professor, Econometric Institute, Erasmus University, The Netherlands HARRY H. KELEJIAN Professor of Economics, University of Maryland, USA JAMES P. LESAGE Department of Economics, University of Toledo, USA DANIEL P. MCMILLEN Professor of economics and Director, Centre for Urban Real Estate, University of Illinois at Chicago, USA R. KELLEY PACE Louisiana Real Estate Chair of Real Estate, Louisiana State University, USA JEAN H. P. PAELINCK Emeritus Professor, Erasmus University, The Netherlands MARIA PLOTNIKOVA Department of Urban and Regional Planning, University of Illinois at Urbana-Champaign, USA SERGIO J. REY Department of Geography, San Diego State University, USA PETER A. ROGERSON Professor of Geography, University of Buffalo, USA TONY SMITH Professor of Regional Science and Systems Engineering, University of Pennsylvania, USA F. JAVIER TRIVEZ Associate Professor, Department of Economic Analysis, University of Zaragoza, Spain LI-AN XU Pharmaceutical Research Institute, Bristol-Myers Squibb Company, Princeton, USA YEVGENY YUZEFOVICH Department of Economics, University of Maryland, USA

Sommaire:
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