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DEA Problems under Geometrical or Probability Uncertainties of Sample Data

Author

Listed:
  • Althaler, Karl S.

    (Institute for Advanced Studies, Vienna)

  • Slavova, Tatjana

    (Institute for Advanced Studies, Vienna)

Abstract

This paper discusses the theoretical and practical aspects of new methods for solving DEA problems under real-life geometrical uncertainty and probability uncertainty of sample data. The proposed minimax approach to solve problems with geometrical uncertainty of sample data involves an implementation of linear programming or minimax optimization, whereas the problems with probability uncertainty of sample data are solved through implementing of econometric and new stochastic optimization methods, using the stochastic frontier functions estimation.

Suggested Citation

  • Althaler, Karl S. & Slavova, Tatjana, 2000. "DEA Problems under Geometrical or Probability Uncertainties of Sample Data," Economics Series 89, Institute for Advanced Studies.
    • Handle: RePEc:ihs:ihsesp:89
    as

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    File URL: https://irihs.ihs.ac.at/id/eprint/1295
    File Function: First version, 2000
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    References listed on IDEAS

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    Cited by:

    1. Tatjana Slavova, 2008. "A rank order and efficiency evaluation of the EU regions in a social framework," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 35(4), pages 339-367, September.

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    More about this item

    Keywords

    DEA; Sample data uncertainty; Linear programming; Minimax optimization; Stochastic optimization; Stochastic frontier functions;
    All these keywords.

    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • H72 - Public Economics - - State and Local Government; Intergovernmental Relations - - - State and Local Budget and Expenditures

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