Abstract
A wide variety of spatial regression specifications that include alternative types of spatial dependence (e.g., lagged values of the dependent variable, spatial lags of explanatory variables, dependence in the model disturbances) have been the focus of a literature on statistical tests for distinguishing between alternative specifications. LeSage (Spat Stat 9:122–145, 2014) argues that a Bayesian approach to model comparison for cross-sectional and static panel models considerably simplifies the task of selecting an appropriate model. MATLAB software functions for carrying out Bayesian cross-sectional and static spatial panel model comparisons described in LeSage (2014) are described here along with a number of illustrative applications.
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