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A Review of Software for Spatial Econometrics in R

Author

Listed:
  • Roger Bivand

    (Department of Economics, Norwegian School of Economics, 5045 Bergen, Norway
    These authors contributed equally to this work.)

  • Giovanni Millo

    (Generali Investments, 34132 Trieste, Italy
    These authors contributed equally to this work.)

  • Gianfranco Piras

    (Department of Economics, School of Arts and Sciences, The Catholic University of America, Washington, DC 20064, USA
    Department of Economics, University ‘Gabriele d’Annunzio’, 66100 Chieti-Pescara, Italy
    These authors contributed equally to this work.)

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.

Suggested Citation

  • Roger Bivand & Giovanni Millo & Gianfranco Piras, 2021. "A Review of Software for Spatial Econometrics in R," Mathematics, MDPI, vol. 9(11), pages 1-40, June.
    • Handle: RePEc:gam:jmathe:v:9:y:2021:i:11:p:1276-:d:567401
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