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Bayesian efficiency analysis with a flexible cost function

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1993-03
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In this paper we describe the use of Gibbs sampling methods for drawing posterior inferences in a model with an asymptotically ideal price aggregator, non-constant returns to scale and composed error. An empirical example illustrates the sensitivity of efficiency measures to assumptions made about the functional form of the frontier.
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Stochastic frontiers, Asymptotically ideal model, Composed error, Gibbs sampler, Metropolis chain
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