Advances in data envelopment analysis

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Bibliographic Information

Advances in data envelopment analysis

Rolf Färe, Shawna Grosskopf, Dimitris Margaritis

(World Scientific-Now publishers series in business, v. 8)

World Scientific Publishing, [2015]

  • : hardcover

Available at  / 3 libraries

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Note

Includes bibliographical references and index

Description and Table of Contents

Description

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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