A Review of Software for Spatial Econometrics in R

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.

Automated summary

This paper reviews the software for spatial econometrics available in the R system for statistical computing, illustrating the methods in a historical perspective and using historically relevant datasets in the examples. Estimators and tests for spatial cross-sectional and panel models based on either maximum likelihood or generalized moments methods are presented, and some current active lines of research in spatial econometric software methods are also reviewed.