Overview

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: AcknowledgementsPreface Introduction: The DEA Technology and Its Representation(Axiomatic) Properties of the DEA ModelAppendix Looking at the Data in DEA: Data DiagnosticsTechnical ChangeData TranslationAppendix: Distance Functions DEA and Intensity Variables: On Shephard's Duality TheoryAdjoint Transformations in DEAThe Diet ProblemPricing Decision Making Units DEA and Directional Distance Functions: Directional VectorsAggregation and Directional VectorsEndogenizing the Directional VectorAppendix DEA and Time Substitution: Theoretical UnderpinningReassessing the EU Stability and Growth PactMethod Some Limitations of Two DEA Models: The Non-Archimedean and DEASuper-Efficiency and ZerosReferencesReadership: Advanced postgraduate students and researchers in operations research and economics with a particular interest in production theory and operations management.

Full Product Details

9789814644556

Table of Contents

Reviews

Author Information

Tab Content 6

Customer Reviews

Recent Reviews

Countries Available