Fast two-stage variational Bayesian approach to estimating panel spatial autoregressive models with unrestricted spatial weights matrices

DATA AVAILABILITY STATEMENT : Data sources are provided in Appendix E in the online supplemental data. The Matlab codes can be found at: https://github.com/DBayesian/GHT2025_HS and https://github.com/DBayesian/GHT2025_DL.

Authors

Stephen G. Hall (ORCID: https://orcid.org/0000-0001-6068-8749)
Deborah Gefang (ORCID: https://orcid.org/0000-0002-5117-4903)
George S. Tavlas (ORCID: https://orcid.org/0000-0002-9046-1956)

Institutions

University of Leicester (GB)
ATEbank (Greece) (GR)
University of Pretoria (ZA)
Stanford University (US)

Publication Details

Journal: Spatial Economic Analysis
Published: 2025-04-17
DOI: https://doi.org/10.1080/17421772.2025.2482071
Citations: 2
Primary Topic: Spatial and Panel Data Analysis
Type: article
Field-Weighted Citation Impact: 6.26

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article

Fast two-stage variational Bayesian approach to estimating panel spatial autoregressive models with unrestricted spatial weights matrices

Stephen G. Hall, Deborah Gefang, George S. Tavlas

Apr 17, 2025

2 citations

Spatial Economic Analysis

Spatial and Panel Data Analysis

6.26

article

Fast two-stage variational Bayesian approach to estimating panel spatial autoregressive models with unrestricted spatial weights matrices

Stephen G. Hall, Deborah Gefang, George S. Tavlas

April 17, 2025article en

2 citations

Abstract

Spatial Economic Analysis

University of Leicester (GB), ATEbank (Greece) (GR), University of Pretoria (ZA), Stanford University (US)

Reduced inequalities

Openalex Percentile: Top 5%

Spatial and Panel Data Analysis

6.26

DOI Open Access PDF OpenAlex

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Fast two-stage variational Bayesian approach to estimating panel spatial autoregressive models with unrestricted spatial weights matrices — Stephen G. Hall, Deborah Gefang, et al. · Spatial Economic Analysis (2025) | TGRS Research Map | TGRS