Bayesian Spatial Econometrics
Bayesian Spatial Econometrics is a formal framework within spatial econometrics that integrates Bayesian inference methods to estimate and interpret spatial dependence and heterogeneity in economic data, distinguishing itself through the incorporation of prior information and probabilistic reasoning in spatial model specification and posterior analysis.
134
Publications
9.5K
Citations
267
Authors
194
Institutions
Publications per year
2017–2026
33
Parents
134
Applied Spatial Econometrics: Raising the Bar
J. Paul Elhorst · Spatial Economic Analysis · 2010 · 1.7K citations · Full text
“Theory and Practice of Spatial Econometrics”
Spatial Economic Analysis · 2015 · 494 citations
Bayesian Estimation of Spatial Autoregressive Models
James P. LeSage · International Regional Science Review · 1997 · 345 citations
Computing, Economics, Econometrics +16
1–5 of 134
267
15
h-index
4
h-index
4
h-index
4
h-index
4
h-index
1–5 of 267
194
Texas State University
San Marcos, United States
11 h-index
13 publications
783 citations
University of Toledo
Toledo, United States
7 h-index
10 publications
985 citations

University of Göttingen
Göttingen, Germany
6 h-index
16 publications
1K citations
University of Reading
Reading, United Kingdom
6 h-index
9 publications
561 citations

University of Cincinnati
Cincinnati, United States
5 h-index
5 publications
405 citations

University of Bristol
Bristol, United Kingdom
5 h-index
6 publications
628 citations
The Ohio State University
Columbus, United States
4 h-index
4 publications
133 citations
International Institute for Applied Systems Analysis
Laxenburg, Austria
3 h-index
4 publications
143 citations
1–8 of 194
7 publications · 166 citations
7
h-index
SEA · 6 publications · 2.4K citations
6
h-index
Repository · 5 publications · 205 citations
5
h-index
5 publications · 150 citations
5
h-index
5 publications · 658 citations
5
h-index
1–5