PL EN


2014 | 15 | 2 | 317-329
Article title

A MULTI-PRODUCT VERSION OF THE DEA+ METHOD

Authors
Content
Title variants
Languages of publication
EN
Abstracts
EN
The paper presents the DEA+ method as a tool for estimating the production function and the measure of technical efficiency in data points. A multi-product case is considered. Presentation of the underlying semiparametric frontier model is followed by demonstration of the very algorithm of DEA+ and a discussion of its validity. Finally, the method is illustrated with an empirical example with selected model distributions for each random variable constituting the composed error.
Year
Volume
15
Issue
2
Pages
317-329
Physical description
Dates
published
2014
Contributors
author
  • Department of Econometrics and Operational Research Cracow University of Economics
References
  • Aigner D., Lovell C. A. K., Schmidt P. (1977) Formulation and estimation of stochastic frontier models, Journal of Econometrics, Vol. 6, pp. 21–37.
  • Banker R.D. (1993) Maximum Likelihood, Consistency and Data Envelopment Analysis:
  • A Statistical Foundation, Management Science, Vol. 39 (10), pp. 1265-1273.
  • Banker R., Charnes A., Cooper W. 1984 Some models for estimating technical and scale inefficiencies in DEA, Management Science, Vol. 30 (9), pp. 1078-1091.
  • Bierens H. J. (1994) Topics in advanced econometrics, Cambridge University Press, Cambridge.
  • DeBoer L. (1992) Economies of scale and input substitution in public libraries, Journal of Urban Economics, Vol. 32, pp. 257-268.
  • Gstach D. (1998) Another approach to Data Envelopment Analysis in noisy environments: DEA+, Journal of Productivity Analysis, Vol. 9, pp. 161-176.
  • Gstach D. (1999) Technical efficiency in noisy multi-output settings, CEJOR, Vol. 7, pp. 93-110.
  • Kumbhakar S. C., Lovell C. A. K. (2000) Stochastic frontier analysis, Cambridge University Press, Cambridge.
  • Kuosmanen T., Kortelainen M. (2012) Stochastic non-smooth envelopment of data: semi-parametric frontier estimation subject to shape constraints, Journal of Productivity Analysis, Vol. 38, pp. 11-28.
  • Meeusen W., Van den Broeck J. (1977) Efficiency estimation from Cobb-Douglas production functions with composed error, International Economic Review, Vol. 18 (2), pp. 435-444.
  • Osiewalski J., Osiewalska A. (2006) Stochastic cost frontier function for Polish public libraries, in “Space-time modelling and forecasting of economic phenomena” (ed. Zeliaś), pp. 179-193, Cracow Academy of Economics Publishing House, Cracow (in Polish).
  • Prędki A. (2012) Selected estimation methods in the semiparametric frontier model, Statistical Review, Vol. 59 (3), pp. 215-232 (in Polish).
  • Prędki A. (2014) Single-product version of the DEA+ method, Statistical Review, Vol. 61 (2), pp. 115-129 (in Polish).
Document Type
Publication order reference
Identifiers
YADDA identifier
bwmeta1.element.desklight-787d5963-f126-4f49-b5c7-eca77ccbb381
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