Spatial econometric models

Hajime Seya, Takahiro Yoshida, Yoshiki Yamagata

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Section 5.1 of this chapter provides a brief review of spatial econometrics. Section 5.2 describes various types of spatial econometric models. Impact measures are also explained here. Section 5.3 explains representative parameter estimation methods for spatial econometric models. Sections 5.4 and 5.5 introduce likelihood-based tests for spatial autocorrelation and spatial heterogeneity, respectively. Section 5.6 explains the remaining important models that were not explained in Section 5.2. Finally, Section 5.7 explores the methods that seem useful when we apply spatial econometric models to a large dataset.

Original languageEnglish
Title of host publicationSpatial Analysis Using Big Data
Subtitle of host publicationMethods and Urban Applications
PublisherElsevier
Pages113-158
Number of pages46
ISBN (Electronic)9780128131329
ISBN (Print)9780128131275
DOIs
Publication statusPublished - 2019 Nov 2
Externally publishedYes

Keywords

  • Large data
  • Likelihood-based tests
  • Parameter estimation
  • Spatial econometric models
  • Spatial econometrics

ASJC Scopus subject areas

  • Economics, Econometrics and Finance(all)
  • Business, Management and Accounting(all)

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