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ABSTRACT. We propose a mixed fixed and random coefficients framework for regional modeling. The framework allows the presence of both the region-specific effects and commonality of responses across regions. Bayes solutions for estimating parameters of interest and for generating predictions are derived. Within a Bayesian framework a predictive density approach to evaluate the impact of changes is suggested. We apply the methodology to evaluate the impact of new rate structures on Ontario regional demand for electricity. 相似文献