Feedback

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

Afsharian, Mohsen GND

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.

Cite

Citation style:
Afsharian, M., 2017. Metafrontier efficiency analysis with convex and non-convex metatechnologies by stochastic nonparametric envelopment of data. https://doi.org/10.24355/dbbs.084-201902081105-0
Could not load citation form. Default citation form is displayed.

Access Statistic

Total:
Downloads:
Abtractviews:
Last 12 Month:
Downloads:
Abtractviews:

Rights

Use and reproduction:

Export