方法证据记录
Bayesian Spatial Durbin Model
The Bayesian Spatial Durbin Model (BSDM) estimates a spatial regression that simultaneously includes a spatially lagged outcome variable and spatially lagged covariates, using Bayesian inference with Markov Chain Monte Carlo sampling. It captures both endogenous and exogenous spatial spillovers while providing full posterior distributions for all parameters, quantifying uncertainty beyond what classical maximum-likelihood estimation offers.
源记录
引文逐字复制自方法源记录。这些引文不代表任何层级的验证。
Bayesian Spatial Durbin Model
分类方法记录 · regression-model / spatial-analysis
- LeSage, J. P., & Pace, R. K. (2009). Introduction to Spatial Econometrics. CRC Press / Taylor & Francis. · ISBN 978-1420064247
- LeSage, J. P. (2014). Spatial Econometric Panel Data Model Comparison Using Heterogeneous Panels with Local Spatial Spillovers. Empirical Economics, 46(1), 193–211. · URL
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