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Article

A Review of Software for Spatial Econometrics in R

by 1,†, 2,*,† and 3,4,†
1
Department of Economics, Norwegian School of Economics, 5045 Bergen, Norway
2
Generali Investments, 34132 Trieste, Italy
3
Department of Economics, School of Arts and Sciences, The Catholic University of America, Washington, DC 20064, USA
4
Department of Economics, University ‘Gabriele d’Annunzio’, 66100 Chieti-Pescara, Italy
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Academic Editor: Ana Debón
Mathematics 2021, 9(11), 1276; https://doi.org/10.3390/math9111276
Received: 19 April 2021 / Revised: 11 May 2021 / Accepted: 14 May 2021 / Published: 2 June 2021
(This article belongs to the Special Issue Spatial Statistics with Its Application)
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. View Full-Text
Keywords: spatial econometrics; software; R; review spatial econometrics; software; R; review
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MDPI and ACS Style

Bivand, R.; Millo, G.; Piras, G. A Review of Software for Spatial Econometrics in R. Mathematics 2021, 9, 1276. https://doi.org/10.3390/math9111276

AMA Style

Bivand R, Millo G, Piras G. A Review of Software for Spatial Econometrics in R. Mathematics. 2021; 9(11):1276. https://doi.org/10.3390/math9111276

Chicago/Turabian Style

Bivand, Roger, Giovanni Millo, and Gianfranco Piras. 2021. "A Review of Software for Spatial Econometrics in R" Mathematics 9, no. 11: 1276. https://doi.org/10.3390/math9111276

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