Technical Efficiency-Minimum Absolute Deviation and Corrected Least Squares Methods of Estimation

AUTHOR AND
AFFILIATION

K. SREENIVASULU
Lecturer, Dept. of Statistics, Sri Sarvodaya College, Nellore, AP (India)
C. SUBBA RAMI REDDY
Professor, Dept. of Statistics, S.V.University, Tirupati (India)

KEYWORDS:

Decision Making Unit, Technical Efficiency, Cobb-Douglas Frontier production function, Mathematics Subject Classification: 62F15, 62G07, 62-07.

Issue Date:

June 2018

Pages:

301-309

ISSN:

2319-8044 (Online) – 2231-346X (Print)

Source:

Vol.30 – No.6

PDF

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DOI:

http://dx.doi.org/10.22147/jusps-A/300602

ABSTRACT:

In this paper we propose Minimum Absolute Deviation (MAD) And Corrected Least Square (CLS) Methods of Estimation to Measure Technical Efficiency of Cobb-Douglas Frontier Production Function as a Linear Programming Problem, which can be extended with comfortable ease, to any Parametric Frontier Production Function.

Copy the following to cite this Article:

K. Sreenivasulu; C. S. R. Reddy, “Technical Efficiency-Minimum Absolute Deviation and Corrected Least Squares Methods of Estimation”, Journal of Ultra Scientist of Physical Sciences, Volume 30, Issue 6, Page Number 301-309, 2018


Copy the following to cite this URL:

K. Sreenivasulu; C. S. R. Reddy, “Technical Efficiency-Minimum Absolute Deviation and Corrected Least Squares Methods of Estimation”, Journal of Ultra Scientist of Physical Sciences, Volume 30, Issue 6, Page Number 301-309, 2018

Available from: http://www.ultrascientist.org/paper/1476/technical-efficiency-minimum-absolute-deviation-and-corrected-least-squares-methods-of-estimation


In this paper we propose Minimum Absolute Deviation (MAD) And Corrected Least Square (CLS) Methods of Estimation to Measure Technical Efficiency of Cobb-Douglas Frontier Production Function as a Linear Programming Problem, which can be extended with comfortable ease, to any Parametric Frontier Production Function.