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World Scientific-Now Publishers Series in Business #8
Advances In Data Envelopment Analysis
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).
Acknowledgements Preface
The DEA Technology and Its Representation (Axiomatic) Properties of the DEA Model Appendix
Looking at the Data in
Data Diagnostics Technical Change Data Translation Distance Functions
DEA and Intensity
On Shephard's Duality Theory Adjoint Transformations in DEA The Diet Problem Pricing Decision Making Units
DEA and Directional Distance
Directional Vectors Aggregation and Directional Vectors Endogenizing the Directional Vector Appendix
DEA and Time
Theoretical Underpinning Reassessing the EU Stability and Growth Pact Method
Some Limitations of Two DEA
The Non-Archimedean and DEA Super-Efficiency and Zeros
ReferencesAdvanced postgraduate students and researchers in operations research and economics with a particular interest in production theory and operations management.
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).
Acknowledgements Preface
The DEA Technology and Its Representation (Axiomatic) Properties of the DEA Model Appendix
Looking at the Data in
Data Diagnostics Technical Change Data Translation Distance Functions
DEA and Intensity
On Shephard's Duality Theory Adjoint Transformations in DEA The Diet Problem Pricing Decision Making Units
DEA and Directional Distance
Directional Vectors Aggregation and Directional Vectors Endogenizing the Directional Vector Appendix
DEA and Time
Theoretical Underpinning Reassessing the EU Stability and Growth Pact Method
Some Limitations of Two DEA
The Non-Archimedean and DEA Super-Efficiency and Zeros
ReferencesAdvanced postgraduate students and researchers in operations research and economics with a particular interest in production theory and operations management.
111 pages, Kindle Edition
Published March 26, 2015
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