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A Review of Software for Spatial Econometrics in R

Roger Bivand, Giovanni Millo () and Gianfranco Piras ()
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Gianfranco Piras: Department of Economics, School of Arts and Sciences, The Catholic University of America, Washington, DC 20064, USA

Mathematics, 2021, vol. 9, issue 11, 1-40

Abstract: The software for spatial econometrics available in the R system for statistical computing is reviewed. The methods are illustrated in a historical perspective, highlighting the main lines of development and employing historically relevant datasets in the examples. Estimators and tests for spatial cross-sectional and panel models based either on maximum likelihood or on generalized moments methods are presented. The paper is concluded reviewing some current active lines of research in spatial econometric software methods.

Keywords: spatial econometrics; software; R; review (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2021
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