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 cr...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2021-06-01
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| Series: | Mathematics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2227-7390/9/11/1276 |
| _version_ | 1797531692323307520 |
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| author | Roger Bivand Giovanni Millo Gianfranco Piras |
| author_facet | Roger Bivand Giovanni Millo Gianfranco Piras |
| author_sort | Roger Bivand |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-10T10:47:22Z |
| format | Article |
| id | doaj.art-f77f733170f242df956a91edd436b2e4 |
| institution | Directory Open Access Journal |
| issn | 2227-7390 |
| language | English |
| last_indexed | 2024-03-10T10:47:22Z |
| publishDate | 2021-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Mathematics |
| spelling | doaj.art-f77f733170f242df956a91edd436b2e42023-11-21T22:30:13ZengMDPI AGMathematics2227-73902021-06-01911127610.3390/math9111276A Review of Software for Spatial Econometrics in RRoger Bivand0Giovanni Millo1Gianfranco Piras2Department of Economics, Norwegian School of Economics, 5045 Bergen, NorwayGenerali Investments, 34132 Trieste, ItalyDepartment of Economics, School of Arts and Sciences, The Catholic University of America, Washington, DC 20064, USAThe 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.https://www.mdpi.com/2227-7390/9/11/1276spatial econometricssoftwareRreview |
| spellingShingle | Roger Bivand Giovanni Millo Gianfranco Piras A Review of Software for Spatial Econometrics in R Mathematics spatial econometrics software R review |
| title | A Review of Software for Spatial Econometrics in R |
| title_full | A Review of Software for Spatial Econometrics in R |
| title_fullStr | A Review of Software for Spatial Econometrics in R |
| title_full_unstemmed | A Review of Software for Spatial Econometrics in R |
| title_short | A Review of Software for Spatial Econometrics in R |
| title_sort | review of software for spatial econometrics in r |
| topic | spatial econometrics software R review |
| url | https://www.mdpi.com/2227-7390/9/11/1276 |
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