Advances in data envelopment analysis Färe, Rolf

By:

Färe, Rolf

Contributor(s):

Material type: Text

TextSeries: World Scientific-Now Publishers Series in business: Vol.8Publication details: Singapore World Scientific 2015Description: xii, 99 pISBN:

9789814644549

Subject(s):

DDC classification:

338.50151972 F2A2

Summary: 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). Contents: Acknowledgements Preface Introduction: The DEA Technology and Its Representation (Axiomatic) Properties of the DEA Model Appendix Looking at the Data in DEA: Data Diagnostics Technical Change Data Translation Appendix: Distance Functions DEA and Intensity Variables: On Shephard's Duality Theory Adjoint Transformations in DEA The Diet Problem Pricing Decision Making Units DEA and Directional Distance Functions: Directional Vectors Aggregation and Directional Vectors Endogenizing the Directional Vector Appendix DEA and Time Substitution: Theoretical Underpinning Reassessing the EU Stability and Growth Pact Method Some Limitations of Two DEA Models: The Non-Archimedean and DEA Super-Efficiency and Zeros References (http://www.worldscientific.com/worldscibooks/10.1142/9450)

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Holdings
Item type	Current library	Collection	Call number	Status	Date due	Barcode	Item holds
Book	Ahmedabad	Non-fiction	338.50151972 F2A2 (Browse shelf(Opens below))	Available		189493
Book	Raipur		338.4501 FAR-15 (Browse shelf(Opens below))	Available		IIMRP-10719

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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).
Contents:
Acknowledgements
Preface
Introduction:
The DEA Technology and Its Representation
(Axiomatic) Properties of the DEA Model
Appendix
Looking at the Data in DEA:
Data Diagnostics
Technical Change
Data Translation
Appendix: Distance Functions
DEA and Intensity Variables:
On Shephard's Duality Theory
Adjoint Transformations in DEA
The Diet Problem
Pricing Decision Making Units
DEA and Directional Distance Functions:
Directional Vectors
Aggregation and Directional Vectors
Endogenizing the Directional Vector
Appendix
DEA and Time Substitution:
Theoretical Underpinning
Reassessing the EU Stability and Growth Pact
Method
Some Limitations of Two DEA Models:
The Non-Archimedean and DEA
Super-Efficiency and Zeros
References
(http://www.worldscientific.com/worldscibooks/10.1142/9450)

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