Advances in data envelopment analysis / Rolf Färe, Oregon State University, USA, Shawna Grosskopf, Oregon State University, USA, Dimitris Margaritis, University of Auckland, New Zealand.

Format:

Book

Author/Creator:

Färe, Rolf, 1942- author.

Grosskopf, Shawna, author.

Margaritis, Dimitris, author.

Series:

World Scientific--Now Publishers series in business ; Volume 8.

World Scientific - Now Publishers Series in Business, 2251-3442 ; Volume 8

Language:

English

Subjects (All):

Data envelopment analysis.

Industrial efficiency--Mathematical models.

Industrial efficiency.

Industrial productivity--Mathematical models.

Industrial productivity.

Physical Description:

1 online resource (112 p.)

Place of Publication:

Hanover, Massachusetts ; Hackensack, New Jersey : now : World Scientific, 2015.

Language Note:

English

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)"-- Provided by publisher.

Contents:

Contents; Acknowledgements; Preface; Chapter 1 Introduction; 1.1 The DEA Technology and Its Representation; 1.2 (Axiomatic) Properties of the DEA Model; 1.3 Appendix; Chapter 2 Looking at the Data in DEA; 2.1 Data Diagnostics; 2.2 Technical Change; 2.3 Data Translation; 2.4 Appendix:Distance Functions; Chapter 3 DEA and Intensity Variables; 3.1 On Shephard's Duality Theory; 3.2 Adjoint Transformations in DEA; 3.3 The Diet Problem; 3.4 Pricing Decision Making Units; Chapter 4 DEA and Directional Distance Functions; 4.1 Directional Vectors; 4.2 Aggregation and Directional Vectors

4.3 Endogenizing the Directional Vector4.4 Appendix; Chapter 5 DEA and Time Substitution; 5.1 Theoretical Underpinning; 5.2 Reassessing the EU Stability and Growth Pact; 5.3 Method; Chapter 6 Some Limitations of Two DEA Models; 6.1 The Non-Archimedean and DEA; 6.2 Super-Efficiency and Zeros; References; Index

Notes:

Description based upon print version of record.

Includes bibliographical references and index.

Description based on print version record.

ISBN:

981-4644-55-2

OCLC:

922951995