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Data Envelopment Analysis: Theory and Techniques for Economics and Operation Research

By: Publication details: United Kingdom: Cambridge University, 2004.Description: 353pISBN:
  • 9781107405264
Subject(s): DDC classification:
  • 338.4501 RAY/D
Contents:
1. Introduction and overview; 2. Productivity, efficiency, and data envelopment analysis; 3. Variable returns to scale: separating technical and scale efficiencies; 4. Extensions to the basic DEA models; 5. Non-radial models and Pareto-Koopmans measures of technical efficiency; 6. Efficiency measurement without convexity assumption: free disposal hull analysis; 7. Dealing with slacks: assurance region/cone ratio analysis, weak disposability, and congestion; 8. Efficiency of merger and break up of firms; 9. Efficiency analysis with market prices; 10. Nonparametric approaches to production analysis; 11. Measuring total factor productivity change over time; 12. Stochastic approaches to data envelopment analysis; 13. Looking ahead
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Holdings
Cover image Item type Current library Home library Collection Shelving location Call number Materials specified Vol info URL Copy number Status Notes Date due Barcode Item holds Item hold queue priority Course reserves
General Books Central Library, Sikkim University General Book Section 338.4501 RAY/D (Browse shelf(Opens below)) Available 052998
Total holds: 0


1. Introduction and overview; 2. Productivity, efficiency, and data envelopment analysis; 3. Variable returns to scale: separating technical and scale efficiencies; 4. Extensions to the basic DEA models; 5. Non-radial models and Pareto-Koopmans measures of technical efficiency; 6. Efficiency measurement without convexity assumption: free disposal hull analysis; 7. Dealing with slacks: assurance region/cone ratio analysis, weak disposability, and congestion; 8. Efficiency of merger and break up of firms; 9. Efficiency analysis with market prices; 10. Nonparametric approaches to production analysis; 11. Measuring total factor productivity change over time; 12. Stochastic approaches to data envelopment analysis; 13. Looking ahead

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