Advances In Data Envelopment Analysis

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A01=Dimitris Margaritis
A01=Rolf Fare
A01=Shawna Grosskopf
Author_Dimitris Margaritis
Author_Rolf Fare
Author_Shawna Grosskopf
Category=KJT
Data Envelopment Analysis
Diffusion Processes
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Intertemporal Firm Choice
Multifactor Productivity
Operations Research
Optimization Techniques
Technological Change: Choices and Consequences

Product details

  • ISBN 9789814644549
  • Publication Date: 14 Apr 2015
  • Publisher: World Scientific Publishing Co Pte Ltd
  • Publication City/Country: SG
  • Product Form: Hardback
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Data Envelopment Analysis (DEA) is often overlooked in empirical work such as diagnostic tests to determine whether the data conform with technology which, in turn, is important in identifying technical change, or finding which types of DEA models allow data transformations, including dealing with ordinal data.Advances in Data Envelopment Analysis focuses on both theoretical developments and their applications into the measurement of productive efficiency and productivity growth, such as its application to the modelling of time substitution, i.e. the problem of how to allocate resources over time, and estimating the "value" of a Decision Making Unit (DMU).

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