A measure of production performance
A measure of production performance
Suppose there are data available on the value of business output, as measured by a single variable y and the values of the corresponding inputs x, with the relationship between y and x determined by an appropriately chosen production function. It is shown how M-quantile regression methods can be used to construct a performance measure that allows a meaningful comparison of the production performance of the businesses. The method is illustrated using survey data collected from farm businesses in the pastoral zone of New South Wales and southern Queensland between 1978 and 1987.
m-quantile regression, production function, returns to scale, technical efficiency
419-435
Kokic, Philip
5d275ad2-95c8-420a-afab-a44cf215326d
Chambers, Ray
96331700-f45e-4483-a887-fef921888ff2
Breckling, Jens
67e3b93b-999c-4a72-a2a3-3e12a545d8b4
Beare, Steve
22f6bb48-0283-4b40-b76f-ecea6f300a4a
October 1997
Kokic, Philip
5d275ad2-95c8-420a-afab-a44cf215326d
Chambers, Ray
96331700-f45e-4483-a887-fef921888ff2
Breckling, Jens
67e3b93b-999c-4a72-a2a3-3e12a545d8b4
Beare, Steve
22f6bb48-0283-4b40-b76f-ecea6f300a4a
Kokic, Philip, Chambers, Ray, Breckling, Jens and Beare, Steve
(1997)
A measure of production performance.
Journal of Business and Economic Statistics, 4, .
Abstract
Suppose there are data available on the value of business output, as measured by a single variable y and the values of the corresponding inputs x, with the relationship between y and x determined by an appropriately chosen production function. It is shown how M-quantile regression methods can be used to construct a performance measure that allows a meaningful comparison of the production performance of the businesses. The method is illustrated using survey data collected from farm businesses in the pastoral zone of New South Wales and southern Queensland between 1978 and 1987.
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More information
Published date: October 1997
Keywords:
m-quantile regression, production function, returns to scale, technical efficiency
Identifiers
Local EPrints ID: 34172
URI: http://eprints.soton.ac.uk/id/eprint/34172
ISSN: 0735-0015
PURE UUID: 25903d98-7dca-4c30-b469-737b3beb64e8
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Date deposited: 19 Dec 2007
Last modified: 08 Jan 2022 09:57
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Contributors
Author:
Philip Kokic
Author:
Ray Chambers
Author:
Jens Breckling
Author:
Steve Beare
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