Advances in Spatial Econometrics (eBook, PDF)

Methodology, Tools and Applications
Redaktion: Anselin, Luc; Rey, Sergio J.; Florax, Raymond

• Format: PDF

Produktbeschreibung

Advances in Spatial Science

This series of books is dedicated to reporting on recent advances in spatial science. It contains scientific studies focusing on spatial phenomena, utilising theoretical frameworks, analytical methods, and empirical procedures specifically designed for spatial analysis. The series brings together innovative spatial research utilising concepts, perspectives, and methods with a relevance to both basic science and policy making. The aim is to present advances in spatial science to an informed readership in universities, research organisations, and policy-making institutions throughout the world.

The type of material considered for publication in the series includes:

- Monographs of theoretical and applied research in spatial science;

- State-of-the-art volumes in areas of basic research;

- Reports of innovative theories and methods in spatial science;

- Tightly edited reports form specially organised research seminars.

Manuscripts must be prepared in accordance with the guidelines for authors and editors that may be obtained from Springer-Verlag. Manuscripts considered for the series will be reviewed by independent experts to ensure their originality, scientific level, and international policy relevance.

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Produktdetails

• Verlag: Springer Berlin Heidelberg
• Seitenzahl: 514
• Erscheinungstermin: 9. März 2013
• Englisch
• ISBN-13: 9783662056172
• Artikelnr.: 53325623

Autorenporträt

Luc Anselin, University of Illinois, Urbana-Champaign, IL, USA / Raymond J.G.M. Florax, Free University, Amsterdam, The Netherlands / Sergio J. Rey, San Diego State University, San Diego, CA, USA

Inhaltsangabe

1 Econometrics for Spatial Models: Recent Advances.- I. Specification, Testing and Estimation.- 2 The Performance of Diagnostic Tests for Spatial Dependence in Linear Regression Models: A Meta-Analysis of Simulation Studies.- 3 Moran-Flavored Tests with Nuisance Parameters: Examples.- 4 The Influence of Spatially Correlated Heteroskedasticity on Tests for Spatial Correlation.- 5 A Taxonomy of Spatial Econometric Models for Simultaneous Equations Systems.- 6 Exploring Spatial Data Analysis Techniques Using R: The Case of Observations with No Neighbors.- II. Discrete Choice and Bayesian Approaches.- 7 Techniques for Estimating Spatially Dependent Discrete Choice Models.- 8 Probit in a Spatial Context: A Monte Carlo Analysis.- 9 Simultaneous Spatial and Functional Form Transformations.- 10 Locally Weighted Maximum Likelihood Estimation: Monte Carlo Evidence and an Application.- 11 A Family of Geographically Weighted Regression Models.- III. Spatial Externalities.- 12 Hedonic Price Functions and Spatial Dependence: Implications for the Demand for Urban Air Quality.- 13 Prediction in the Panel Data Model with Spatial Correlation.- 14 External Effects and Cost of Production.- IV. Urban Growth and Agglomeration Economies.- 15 Identifying Urban-Rural Linkages: Tests for Spatial Effects in the Carlino-Mills Model.- 16 Economic Geography and the Spatial Evolution of Wages in the United States.- 17 Endogenous Spatial Externalities: Empirical Evidence and Implications for the Evolution of Exurban Residential Land Use Patterns.- V. Trade and Economic Growth.- 18 Does Trade Liberalization Cause a Race-to-the-Bottom in Environmental Policies? A Spatial Econometric Analysis.- 19 Regional Economic Growth and Convergence: Insights from a Spatial Econometric Perspective.- 20 Growth and Externalities Across Economies: An Empirical Analysis Using Spatial Econometrics.- References.- Author Index.- List of Contributors.