 SOFTWARE FOR BAYESIAN SPATIAL MODEL COMPARISONRegion et Developpement, 2014, vol. 40, 11-24 Abstract: Taking a Bayesian perspective on model comparison for cross-sectional and static panel data models considerably simplifies the task of selecting an appropriate model. A wide variety of alternative specifications that in-clude various combinations spatial dependence in lagged values of the dependent variable, spatial lags of the explanatory variables, as well as dependence in the model disturbances have been the focus of a literature on various statistical tests used by practitioners to distinguishing between alternative specifications. LeSage and Pace (2009) make a theoretical argument that implies the task of model selection can be simplified by focusing on only two model specifications, one reflecting theoretical situations involving global spillovers (the spatial Durbin model, SDM) and the other theoretical scenarios involving local spillovers (the spatial Durbin error model, SDEM). LeSage (2014) extends this theoretical argument to the case of static panel data models. MATLAB software functions for carrying out Bayesian cross-sectional and static spatial panel data model comparisons is described here along with a number of illustrative applications. Keywords: STATIC SPACE-TIME PANEL DATA MODELS; BAYES FACTORS; LOCAL VERSUS GLOBAL SPATIAL SPILLOVERS (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:tou:journl:v:40:y:2014:p:11-24 Access Statistics for this article More articles in Region et Developpement from Region et Developpement, LEAD, Universite du Sud - Toulon Var Contact information at EDIRC. |
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