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In this paper we propose a stochastic frontier model that allows for technical inefficiency effects and dynamic technical inefficiency, and use Bayesian inference procedures organized around data augmentation techniques to provide inferences. Also provided are firm\u2010specific efficiency measures. The new methods are applied to a panel of large US commercial banks over the period 1989\u20132000. 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