New Directions in Spatial Econometrics

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 b...

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Bibliographic Details
Other Authors: Anselin, Luc (Editor), Florax, Raymond (Editor)
Format: eBook
Language:English
Published: Berlin, Heidelberg Springer Berlin Heidelberg 1995, 1995
Edition:1st ed. 1995
Series:Advances in Spatial Science, The Regional Science Series
Subjects:
Online Access:
Collection: Springer Book Archives -2004 - Collection details see MPG.ReNa
Table of Contents:
  • 1 New Directions in Spatial Econometrics: Introduction
  • I-A: Spatial Effects in Linear Regression Models Specification of Spatial Dependence
  • 2 Small Sample Properties of Tests for Spatial Dependence in Regression Models: Some Further Results
  • 3 Spatial Correlation: A Suggested Alternative to the Autoregressive Model
  • 4 Spatial Autoregressive Error Components in Travel Flow Models: An Application to Aggregate Mode Choice
  • I-B: Spatial Effects in Linear Regression Models Spatial Data and Model Transformations
  • 5 The Impacts of Misspecified Spatial Interaction in Linear Regression Models
  • 6 Computation of Box-Cox Transform Parameters: A New Method and its Application to Spatial Econometrics
  • 7 Data Problems in Spatial Econometric Modeling
  • 8 Spatial Filtering in a Regression Framework: Examples Using Data on Urban Crime, Regional Inequality, and Government Expenditures
  • II: Spatial Effects in Limited Dependent Variable Models
  • 9 Spatial Effects in Probit Models: A Monte Carlo Investigation
  • 10 Estimating Logit Models with Spatial Dependence
  • 11 Utility Variability within Aggregate Spatial Units and its Relevance to Discrete Models of Destination Choice
  • III: Heterogeneity and Dependence in Space-Time Models
  • 12 The General Linear Model and Spatial Autoregressive Models
  • 13 Econometric Models and Spatial Parametric Instability: Relevant Concepts and an Instability Index
  • 14 Bayesian Hierarchical Forecasts for Dynamic Systems: Case Study on Backcasting School District Income Tax Revenues
  • 15 A Multiprocess Mixture Model to Estimate Space-Time Dimensions of Weekly Pricing of Certificates of Deposit
  • Author Index
  • Contributors