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Bajezijanski prostorni panel model×Model prostornog kašnjenja (SAR / Spatial Autoregressive)×
OblastProstorna analizaProstorna analiza
PorodicaRegression modelRegression model
Godina nastanka2009–20141988
TvoracLeSage & Pace; ElhorstAnselin (textbook formalisation); LeSage & Pace
TipBayesian spatial panel regressionSpatial autoregressive regression
Temeljni izvorLeSage, J. P., & Pace, R. K. (2009). Introduction to Spatial Econometrics. CRC Press / Taylor & Francis. ISBN: 978-1420064247Anselin, L. (1988). Spatial Econometrics: Methods and Models. Kluwer Academic. DOI ↗
Drugi naziviBayesian spatial panel, Bayesian spatial econometrics panel, BSPM, Bayesian panel spatial regressionSAR model, spatial autoregressive model, spatial lag, Uzamsal Gecikme Modeli (SAR / Spatial Lag)
Srodne55
SažetakThe Bayesian Spatial Panel Model estimates spatial interaction effects (spatial lag, spatial error, or Durbin) in panel data using Bayesian inference via Markov Chain Monte Carlo (MCMC). It combines the ability to control for unobserved unit- and time-specific heterogeneity with principled uncertainty quantification, making it suitable for georeferenced longitudinal datasets in economics, public health, and regional science.The Spatial Lag Model is an autoregressive regression that assumes spatial dependence in the dependent variable itself: the outcome values of neighbouring units enter the model as an explanatory term (ρWy). It was formalised in Anselin's Spatial Econometrics (1988) and developed further by LeSage and Pace (2009), and it decomposes spillover effects into direct, indirect, and total impacts.
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ScholarGateUporedite metode: Bayesian Spatial Panel Model · Spatial Lag Model. Preuzeto 2026-06-15 sa https://scholargate.app/sr/compare