This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

The Measurement Of Efficiency Where There Are Multiple Outputs

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
John L. Whiteman
Abstract

This paper is motivated by the empirical observation that in many studies the elasticity of output with respect to labour is often negative and/or insignificant. The present study applies multiple output models to estimate the technical efficiency of enterprises in the international electricity, gas and telecom-munications industries. The results support the contention that single output production models may yield misleading results in respect of the elasticities of inputs such as labour. The results also suggest that relatively simple DEA and ordinary least squares models may be preferred to more complex stochastic frontier models in estimating the technical efficiency of enterprises.

Download Info
To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://www.monash.edu.au/policy/ftp/workpapr/g-134.pdf
File Format: application/pdf
File Function:
Download Restriction: no

Publisher Info
Paper provided by Monash University, Centre of Policy Studies/IMPACT Centre in its series Centre of Policy Studies/IMPACT Centre Working Papers with number g-134.

Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Length:
Date of creation: Nov 1999
Date of revision:
Handle: RePEc:cop:wpaper:g-134

Contact details of provider:
Postal: 11th Floor, Menzies Building, Wellington Road, Clayton, Victoria, 3168
Phone: 03 9905 2398
Fax: 03 9905 2426
Web page: http://www.monash.edu.au/policy/index.htm
More information through EDIRC

For technical questions regarding this item, or to correct its listing, contact: (Mark Horridge).

Related research
Keywords: multiple output; data envelopment analysis; stochastic production frontier; distance function; ray frontier; technical efficiency;

Find related papers by JEL classification:
D24 - Microeconomics - - Production and Organizations - - - Production; Capital and Total Factor Productivity; Capacity
L94 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Electric Utilities
L95 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Gas Utilities; Pipelines; Water Utilities
L96 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Telecommunications

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

  1. Quiggin, J., 1995. "Estimating the Benefits of Hilmer and Related Reforms," CEPR Discussion Papers 338, Centre for Economic Policy Research, Research School of Social Sciences, Australian National University.
    Other versions:
  2. John Whiteman, 1999. "The Potential Benefits of Hilmer and Related Reforms: Electricity Supply," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 32(1), pages 17-30. [Downloadable!] (restricted)
  3. Löthgren, Mickael, 1997. "A Multiple Output Stochastic Ray Frontier Production Model," Working Paper Series in Economics and Finance 158, Stockholm School of Economics.
  4. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July. [Downloadable!] (restricted)
  5. Battese, George E. & Coelli, Tim J., 1988. "Prediction of firm-level technical efficiencies with a generalized frontier production function and panel data," Journal of Econometrics, Elsevier, vol. 38(3), pages 387-399, July. [Downloadable!] (restricted)
  6. Greene, William H., 1980. "Maximum likelihood estimation of econometric frontier functions," Journal of Econometrics, Elsevier, vol. 13(1), pages 27-56, May. [Downloadable!] (restricted)
  7. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November. [Downloadable!] (restricted)
  8. Tim Coelli & Sergio Perelman, 2000. "Efficiency measurement, multiple-output technologiess and distance functions : with application to European Railways," CREPP Working Papers 9605, Centre de Recherche en Economie Publique et de la Population (CREPP) (Research Center on Public and Population Economics) HEC-Management School, University of Liège. [Downloadable!]
Full references

Statistics
Access and download statistics

Did you know? Over five million full texts a year are downloaded through IDEAS.

This page was last updated on 2010-1-6.

This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.