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- W1775436701 abstract "The aim of this article is to present a statistical inference for a frontier non-parametric model. We find that DEA and parametric approaches to estimate the efficiency and productivity share a common weakness: the inability to determine a statistical accuracy of the results. In the case of parametric approach and due to the highly nonlinear combination, the efficiency scores are calculated from global estimates. As far as DEA is concerned and because of the non-parametric aspect of the method in use, the distribution of efficiency measures is neither known nor specified. In the same vein, the absence of an indicator of statistical significance undermines the reliability and usefulness of the results. Consequently, we simulated the efficiency scores obtained by estimating the DEA model (input-oriented and variable returns to scale) of 20 Tunisian banks using the bootstrap method." @default.
- W1775436701 created "2016-06-24" @default.
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- W1775436701 date "2015-01-01" @default.
- W1775436701 modified "2023-09-26" @default.
- W1775436701 title "Statistical inference § parametric approximation of non-parametric frontier: the case of Tunisian banking sector" @default.
- W1775436701 doi "https://doi.org/10.1504/ijmor.2015.071272" @default.
- W1775436701 hasPublicationYear "2015" @default.
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