Spatial Autoregressive Models
Spatial Autoregressive Models is a class of econometric models that incorporates spatial dependence by specifying a autoregressive process for the dependent variable, where the value of the variable at a given location depends on the values of the variable at neighboring locations through a spatial weights matrix.
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58.3K
Citations
1.5K
Authors
756
Institutions
Publications per year
2017–2026
247
700
An Introduction to Spatial Econometrics
James P. LeSage · Revue d économie industrielle · 2008 · 3K citations · Full text
Spatial Processes, Models and Applications
Luc Anselin, Andrew Cliff, J. Keith Ord · Economic Geography · 1983 · 2.7K citations
Computing, Geography, Urban Planning +12
Spatial Econometrics: Methods and Models
Daniel A. Griffith, L. Anselin · Economic Geography · 1989 · 2K citations
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University of Maryland, College Park, United States
12 publications · 3.3K citations
12
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756
The Ohio State University
Columbus, United States
27 h-index
40 publications
6.8K citations
University of Maryland, College Park
College Park, United States
15 h-index
24 publications
7K citations
Syracuse University
Syracuse, United States
11 h-index
13 publications
1.1K citations
Vienna University of Economics and Business
Vienna, Austria
10 h-index
14 publications
590 citations
Texas State University
San Marcos, United States
10 h-index
12 publications
1.1K citations

Peking University
Beijing, China
10 h-index
15 publications
824 citations
London School of Economics and Political Science
London, United Kingdom
10 h-index
14 publications
698 citations

Chinese Academy of Sciences
Beijing, China
9 h-index
19 publications
1.5K citations
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29 publications · 4.8K citations
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28 publications · 3.7K citations
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Repository · 30 publications · 1.3K citations
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18 publications · 1K citations
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15 publications · 1.8K citations
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