TY - JOUR
T1 - Bayesian Estimation of the Spatial Durbin Error Model with an Application to Voter Turnout in the 2004 Presidential Election
AU - Lacombe, Donald J.
AU - Holloway, Garth J.
AU - Shaughnessy, Timothy M.
N1 - Publisher Copyright:
© 2012 SAGE Publications.
Copyright:
Copyright 2014 Elsevier B.V., All rights reserved.
PY - 2014/7/1
Y1 - 2014/7/1
N2 - The potential for spatial dependence in models of voter turnout, although plausible from a theoretical perspective, has not been adequately addressed in the literature. Using recent advances in Bayesian computation, the authors formulate and estimate the previously unutilized spatial Durbin error model and apply this model to the question of whether spillovers and unobserved spatial dependence in voter turnout matters from an empirical perspective. Formal Bayesian model comparison techniques are employed to compare the normal linear model, the spatially lagged X model (SLX), the spatial Durbin model, and the spatial Durbin error model. The results overwhelmingly support the spatial Durbin error model as the appropriate empirical model.
AB - The potential for spatial dependence in models of voter turnout, although plausible from a theoretical perspective, has not been adequately addressed in the literature. Using recent advances in Bayesian computation, the authors formulate and estimate the previously unutilized spatial Durbin error model and apply this model to the question of whether spillovers and unobserved spatial dependence in voter turnout matters from an empirical perspective. Formal Bayesian model comparison techniques are employed to compare the normal linear model, the spatially lagged X model (SLX), the spatial Durbin model, and the spatial Durbin error model. The results overwhelmingly support the spatial Durbin error model as the appropriate empirical model.
KW - Bayesian inference
KW - spatial Durbin error model
KW - spatial econometrics
UR - http://www.scopus.com/inward/record.url?scp=84907145826&partnerID=8YFLogxK
U2 - 10.1177/0160017612452133
DO - 10.1177/0160017612452133
M3 - Article
AN - SCOPUS:84907145826
VL - 37
SP - 298
EP - 327
JO - International Regional Science Review
JF - International Regional Science Review
SN - 0160-0176
IS - 3
ER -