Spatial econometric models

Hajime Seya; Takahiro Yoshida; Yoshiki Yamagata

doi:10.1016/B978-0-12-813127-5.00005-9

Spatial econometric models

Hajime Seya, Takahiro Yoshida, Yoshiki Yamagata

Research output: Chapter in Book/Report/Conference proceeding › Chapter

2 Citations (Scopus)

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 language	English
Title of host publication	Spatial Analysis Using Big Data
Subtitle of host publication	Methods and Urban Applications
Publisher	Elsevier
Pages	113-158
Number of pages	46
ISBN (Electronic)	9780128131329
ISBN (Print)	9780128131275
DOIs	https://doi.org/10.1016/B978-0-12-813127-5.00005-9
Publication status	Published - 2019 Nov 2
Externally published	Yes

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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10.1016/B978-0-12-813127-5.00005-9

Cite this

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AB - 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.

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KW - Likelihood-based tests

KW - Parameter estimation

KW - Spatial econometric models

KW - Spatial econometrics

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M3 - Chapter

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SN - 9780128131275

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BT - Spatial Analysis Using Big Data

PB - Elsevier

ER -

Spatial econometric models

Abstract

Keywords

ASJC Scopus subject areas

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