Model Validation in Spatial Econometrics: A Review and Evaluation of Alternative Approaches

Luc Anselin

Research output: Contribution to journalArticlepeer-review

53 Scopus citations

Abstract

Formal approaches to assess the validity of spatial theoretical constructs are reviewed and evaluated with respect to their application and potential in spatial econometrics. A distinction is made between specification tests and model selection procedures. For the first, particular emphasis is on tests for residual spatial autocorrelation, tests on common factors, and tests on non-nested hypotheses. For the second, attention is focused on information-theoretic criteria, Bayesian approaches, and heuristic procedures. Also, some thoughts are presented on model validation as a multiobjective decision problem and its relevance in planning and policy analysis.

Original languageEnglish (US)
Pages (from-to)279-316
Number of pages38
JournalInternational Regional Science Review
Volume11
Issue number3
DOIs
StatePublished - Dec 1988

ASJC Scopus subject areas

  • Environmental Science(all)
  • Social Sciences(all)

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