Mathematics (Jun 2021)

A Review of Software for Spatial Econometrics in R

  • Roger Bivand,
  • Giovanni Millo,
  • Gianfranco Piras

DOI
https://doi.org/10.3390/math9111276
Journal volume & issue
Vol. 9, no. 11
p. 1276

Abstract

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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.

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