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2009 | 10 | 1 | 20-29

Article title

COMPARISON OF THE DETERMINISTIC AND STOCHASTIC APPROACHES FOR ESTIMATING TECHNICAL EFFICIENCY ON THE EXAMPLE OF NON-PARAMETRIC DEA AND PARAMETRIC SFA METHODS

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Content

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EN

Abstracts

EN
The author considers in the article estimation of the technical efficiency, which measures the ability of the company to obtain the maximum output from given inputs or to use the minimum input to achieve given outputs. The comparison of two approaches: deterministic (on the example of Data Envelopment Analysis) and stochastic (on the example of Stochastic Frontier Approach) has been carried out, the advantages and disadvantages of both were also described. These methods were chosen because they have become popular in polish research. In the article the possible limitations and problems, which may influence results of studies conducted by using these methods, were considered.

Contributors

  • Katedra Ekonomiki Rolnictwa i Międzynarodowych Stosunków Gospodarczych SGGW

References

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  • Battese G.E., Broca S.S. (1997) Functional Forms of Stochastic Frontier Produc-tion Functions and Models for Technical Inefficiency Effects: A Comparative Study for Wheat Farmers in Pakistan. Journal of Productivity Analysis. 8, 395 – 414.
  • Battese G.E., Coelli T.J (1992) Frontier Production Function, Technical Efficiency and Panel Data: With Application to Paddy Farmers in India. Journal of Productiv-ity Analysis. 3, 153 – 169.
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  • Coelli T.J. (1996) A Guide to Frontier Version 4.1: A Computer Program for Sto-chastic Frontier Production and Cost Function Estimation. Armidale: University of New England, CEPA Working Papers, p 6.
  • Cooper W.W., Seiford L.M., Tone K. (2007) Data Envelopment Analysis. A Com-prehensive Text with Models, Applications, References and DEA-Solver Software (2nd ed.). USA: Springer.
  • Farrell M.J. (1957) The Measurement of Productive Efficiency. Journal of the Royal Statistical Society, Series A (General) 120 (3), 253 – 290.
  • Fried H.O., Lovell C.A.K., Schmidt S.S. (2008) The Measurement of Productive Efficiency and Productivity Growth. USA: Oxford University Press US, 16 – 20.
  • Mortimer D., Peacock S. (2002) Hospital Efficiency Measurement: Simple Ratios vs Frontier Methods. Australia: Centre of Health Program Evaluation. (Working Paper 135).
  • Shepard R.W. (1970) Theory of Cost and Production Functions. Princeton: Prince-ton University Press.
  • Zhang Y., Bartels R. (1998) The Effect of Sample Size on the Mean Efficiency in DEA with an Application to Electricity Distribution in Australia, Sweden and New Zealand. Journal of Productivity Analysis. 9, 187 – 204.

Document Type

Publication order reference

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YADDA identifier

bwmeta1.element.desklight-9cfbfcee-2706-4100-9ace-0a824ee254ba
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