Metafrontier efficiency analysis with convex and non-convex metatechnologies by stochastic nonparametric envelopment of data

Mohsen Afsharian

Economics Letters, 2017, vol. 160, issue C, 1-3

Abstract: This paper suggests how stochastic nonparametric envelopment of data (StoNED) can be extended as an estimator in the metafrontier efficiency analysis. Both convex and non-convex metatechnologies are formed and a semi-nonparametric estimation technique for the corresponding metafrontiers is developed. Remaining consistent with the metafrontier theory, the resulting estimated metafrontiers always envelope the estimated group frontiers.

Keywords: Metafrontier analysis; Convex and non-convex metatechnologies; Stochastic nonparametric envelopment of data (StoNED) (search for similar items in EconPapers)
JEL-codes: C13 C14 C6 (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (13)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ecolet:v:160:y:2017:i:c:p:1-3

DOI: 10.1016/j.econlet.2017.08.006

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