New Directions in Spatial Econometrics

1. Front Matter

   Pages i-xix

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2. Introduction

   1. Front Matter

      Pages 1-1

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   2. New Directions in Spatial Econometrics: Introduction

      • Luc Anselin, Raymond J. G. M. Florax

      Pages 3-18

3. Spatial Effects in Linear Regression Models

   1. Front Matter

      Pages 19-19

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   2. Small Sample Properties of Tests for Spatial Dependence in Regression Models: Some Further Results

      • Luc Anselin, Raymond J. G. M. Florax

      Pages 21-74

   3. Spatial Correlation: A Suggested Alternative to the Autoregressive Model

      • Harry H. Kelejian, Dennis P. Robinson

      Pages 75-95

   4. Spatial Autoregressive Error Components in Travel Flow Models: An Application to Aggregate Mode Choice

      • Denis Bolduc, Richard Laferrière, Gino Santarossa

      Pages 96-108

4. Spatial Effects in Linear Regression Models

   1. Front Matter

      Pages 109-109

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   2. The Impacts of Misspecified Spatial Interaction in Linear Regression Models

      • Raymond J. G. M. Florax, Serge Rey

      Pages 111-135

   3. Computation of Box-Cox Transform Parameters: A New Method and its Application to Spatial Econometrics

      • Reinaud A. J. J. van Gastel, Jean H. P. Paelinck

      Pages 136-155

   4. Data Problems in Spatial Econometric Modeling

      • Robert P. Haining

      Pages 156-171

   5. Spatial Filtering in a Regression Framework: Examples Using Data on Urban Crime, Regional Inequality, and Government Expenditures

      • Arthur Getis

      Pages 172-185

5. Spatial Effects in Limited Dependent Variable Models

   1. Front Matter

      Pages 187-187

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   2. Spatial Effects in Probit Models: A Monte Carlo Investigation

      • Daniel P. McMillen

      Pages 189-228

   3. Estimating Logit Models with Spatial Dependence

      • Robin Dubin

      Pages 229-242

   4. Utility Variability within Aggregate Spatial Units and its Relevance to Discrete Models of Destination Choice

      • Mark R. Ferguson, Pavlos S. Kanaroglou

      Pages 243-269

6. Heterogeneity and Dependence in Space-Time Models

   1. Front Matter

      Pages 271-271

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   2. The General Linear Model and Spatial Autoregressive Models

      • Daniel A. Griffith

      Pages 273-300

   3. Econometric Models and Spatial Parametric Instability: Relevant Concepts and an Instability Index

      • Emilio Casetti, Jessie Poon

      Pages 301-321

   4. Bayesian Hierarchical Forecasts for Dynamic Systems: Case Study on Backcasting School District Income Tax Revenues

      • George T. Duncan, Wilpen Gorr, Janusz Szczypula

      Pages 322-358

The field of spatial econometrics, which is concerned with statistical and econo­ metric techniques to be used to handle spatial effects in multiregional models, was first touched upon in the 1950s. It was given its name in the early 70s by Jean Paelinck and has expanded since. Its development can be monitored in various monographs that have been published since, starting with the seminal work by Andrew Cliff and Keith Ord. Also, the wide array of journals in which contributions to spatial econometrics have been published, shows that the relevance of the field is not restricted to regional science, but extends to geography, spatial statistics, biology, psychology, political science and other social sciences. This volume contains a collection of papers that were presented at special sessions on spatial econometrics organized in the context of the European and North American conferences of the Regional Science Association International, that took place in Louvain la Neuve (August 25-28,1992) and in Houston (November 11-14, 1993), respectively. Apart from these conference papers some contributions were written especially for this volume. The central idea of this book is to communicate the state of the art of spatial econometrics and to offer a number of new directions for future research. In order to do so, the editors sought contributions of leading scholars currently active in this field.

• Estimator
• Geographic Information Systems
• Geographische Informationssysteme
• Import
• Regression analysis
• Statistik
• correlation
• econometrics
• inequality
• instability
• linear regression
• modeling
• regression
• statistics
• Ökonometrie

• West Virginia University, Regional Research Institute, Morgantown, USA

  Luc Anselin

• Department of General Economics, Wageningen Agricultural University, Wageningen, The Netherlands

  Raymond J. G. M. Florax

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