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Spatial econometrics

In: Handbook of Spatial Analysis in the Social Sciences

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  • Luc Anselin

Abstract

Spatial econometrics is a subfield of econometrics that deals with the incorporation of spatial effects (spatial dependence and spatial heterogeneity) in regression models. This chapter reviews the main forms through which spatial effects have been embedded in model specification, as well as its implications for estimation and diagnostic testing. It starts with an overview of the classic spatial lag and spatial error models and variants of these specifications, as well as the interpretation of direct and indirect effects. It provides a brief review of specifications for spatial heterogeneity. The main paradigms for estimation and inference are presented as well as some recent extensions of the basic model.

Suggested Citation

  • Luc Anselin, 2022. "Spatial econometrics," Chapters, in: Sergio J. Rey & Rachel S. Franklin (ed.), Handbook of Spatial Analysis in the Social Sciences, chapter 6, pages 101-122, Edward Elgar Publishing.
    • Handle: RePEc:elg:eechap:19110_6
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    Cited by:

    1. Folharini, Saulo de Oliveira & Melo, Silas Nogueira de & Ramos, Rafael Guimarães & Brown, J. Christopher, 2023. "Land use and green crime: Assessing the edge effect," Land Use Policy, Elsevier, vol. 129(C).

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