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Bounded rationality and thick frontiers in stochastic frontier analysis

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  • Tsionas, Mike G.

Abstract

Recent research has proposed a statistical test based on the notion that agents have bounded rationality, if and only if more attractive states are chosen with larger probability. We propose and implement a statistical test for bounded rationality in the context of stochastic cost frontiers. Bounded rationality is related to probabilistically cost-efficient distributions. The test is based on comparing a discrete set of probabilities with the theoretical distribution under bounded rationality. Implementation is shown to be quite easy in a Bayesian framework using the Bayes factor for model comparison between estimated and theoretical probabilities. The bounded-rationality model introduces only an extra parameter in frontier models and, therefore, it is quite practical to use in applications as a general semi-parametric model for inefficiency.

Suggested Citation

  • Tsionas, Mike G., 2020. "Bounded rationality and thick frontiers in stochastic frontier analysis," European Journal of Operational Research, Elsevier, vol. 284(2), pages 762-768.
    • Handle: RePEc:eee:ejores:v:284:y:2020:i:2:p:762-768
    DOI: 10.1016/j.ejor.2019.12.010
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    References listed on IDEAS

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