Bayesian analysis of spatial panel Durbin model with convex combinations of different spatial weight matrices

Jiajia Wang

Economics Letters, 2025, vol. 256, issue C

Abstract: This study examines the spatial panel Durbin model with convex combinations of different spatial weight matrices. These combinations are present not only in the spatial lag of the dependent variable but also in the spatial lags of the explanatory variables. Moreover, the combination coefficients in the spatially lagged dependent and explanatory variables may differ. An adaptive MCMC sampling method is used for the Bayesian estimation of this model. Additionally, this study explores model selection issues using the posterior Bayesian information criterion.

Keywords: Spatial panel Durbin model; Spatial weight matrices; Convex combination; Bayesian analysis (search for similar items in EconPapers)
JEL-codes: C11 (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:eee:ecolet:v:256:y:2025:i:c:s0165176525004240

DOI: 10.1016/j.econlet.2025.112587

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