TUNING REGRESSION RESULTS FOR USE IN MULTI-STAGE DATA ADJUSTMENT APPROACH OF DEA(<Special Issue>Operations Research for Performance Evaluation)

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概要

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• Data envelopment analysis (DEA) has been a wildly used powerful method to measure efficiencies of decision making units (DMUs). However, DEA efficiency scores are influenced by uncontrollable factors for respective DMUs. Previous studies attempted separating such factors from DEA scores. Fried et al. [4] proposed a multi-stage data adjustment approach using DEA and a regression model, and several studies have followed it, such as Fried et al. [5], Avkiran and Rowlands [1], and so forth. Firstly, we point out shortcomings of the traditional adjustment scheme for combining regression results for use in DEA in the multi-stage approach, and then we propose a new scheme for data adjustment. We demonstrate the effect of this adjustment formula using an electric utility dataset.

• 社団法人日本オペレーションズ・リサーチ学会の論文

著者

• Tone Kaoru

  National Graduate Inst. For Policy Studies

• Tsutsui Miki

  Central Res. Inst. Of Electric Power Ind.

• Tsutsui Miki

  Central Res. Inst. Electric Power Ind.

関連論文

• FAIR ALLOCATION BASED ON TWO CRITERIA : A DEA GAME VIEW OF "ADD THEM UP AND DIVIDE BY TWO"(Operations Research for Performance Evaluation)
• 2-C-5 Ownership-Specified Network DEA Models
• 2-C-6 An epsilon-based measure of efficiency in DEA : A third pole of technical efficiency
• 2-C-4 Dynamic DEA with network structure: A slacks-based measure approach
• Scale, Indivisibilities and Production Function in Data Envelopment Analysis
• 2-B-4 Network DEA : A Basic Framework
• 2-F-9 An Example of DEA Game whose Shapley Solution Is Not Included in the Core
• A VERIFICATION OF THE END OF THE COLD WAR USING DEA
• 2-B-6 Re-examination of the End of the Post-Cold War Era Using DEA
• 2-B-5 Separation of uncontrollable factors and time shift effects from DEA scores
• TUNING REGRESSION RESULTS FOR USE IN MULTI-STAGE DATA ADJUSTMENT APPROACH OF DEA(Operations Research for Performance Evaluation)
• 2-F-1 On the non-oriented epsilon-based measure of efficiency in DEA
• 2-D-7 Past-Present-Future Intertemporal DEA Models : A Preliminary Case study

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