A generalized stochastic frontier production function in power loom industries for prediction of firm-level technical efficiencies

George Maria Selvam, A. (36660747800) and Suyambulingom, C. (55338660900) (2016) A generalized stochastic frontier production function in power loom industries for prediction of firm-level technical efficiencies.

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Abstract

A production function in stochastic frontier is constructed for a set of sample firms. The disturbances are appear to be in two different terms, one is the traditional error and the other lies with a non-negative assorted variable associated with the Technical talent of the firm. By assuming the acceptable company's impact as time invariant with a common incomplete distribution, we have obtained the best prediction for the firm-effect random variable and also the Technical talent of any firm given the cost of troubles in the model. © 2017 Elsevier B.V., All rights reserved.

Item Type: Article
Subjects:
Divisions: Arts and Science > Vinayaka Mission's Kirupananda Variyar Arts & Science College, Salem > Tamil
Depositing User: Unnamed user with email techsupport@mosys.org
Last Modified: 11 Dec 2025 06:06
URI: https://vmuir.mosys.org/id/eprint/4833

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