Data Envelopment Analysis
Subhash C. Ray
Reading Time
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366
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Data Envelopment Analysis
Published
2012
Publisher
Cambridge University Press
Pages
366
ISBN-13
9781107405264
Description
Using the neo-classical theory of production economics as the analytical framework, this book provides a unified and easily comprehensible, yet fairly rigorous, exposition of the core literature on data envelopment analysis (DEA) for readers based in different disciplines. The various DEA models are developed as nonparametric alternatives to the econometric models. Apart from the standard fare consisting of the basic input- and output-oriented DEA models formulated by Charnes, Cooper, and Rhodes, and Banker, Charnes, and Cooper, the book covers more recent developments, such as the directional distance function, free disposal hull (FDH) analysis, non-radial measures of efficiency, multiplier bounds, mergers and break-up of firms, and measurement of productivity change through the Malmquist total factor productivity index. The chapter on efficiency measurement using market prices provides the critical link between DEA and the neo-classical theory of a competitive firm. The book also covers several forms of stochastic DEA in detail.
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Frequently Asked Questions
How many pages are in Data Envelopment Analysis?
This edition of Data Envelopment Analysis has approximately 366 pages. Please note, this is an estimate and the exact page count can vary between hardcover, paperback, and e-book versions.
How long does it take to read Data Envelopment Analysis?
For most readers, Data Envelopment Analysis typically takes between 7h 38m and 5h 5m to complete. This is based on the book's length of approximately 91,500 words and common reading speeds.
Here's a detailed breakdown: • Continuous reading at 250 WPM: approximately 6h 6m of focused reading • Casual reading (30 minutes/day): you could finish in roughly 13 days • Estimated word count: 91,500 words
Your individual reading time will vary based on your personal reading pace, the amount of daily reading time, and your familiarity with the subject matter.
What is the word count of Data Envelopment Analysis?
The estimated word count for Data Envelopment Analysis is approximately 91,500 words. This figure is calculated using industry-standard methods that consider genre-specific word density patterns, typical formatting and layout characteristics, and standard words-per-page ratios for published books.
This is an approximation — actual word count may vary based on font size, formatting, edition, and the presence of illustrations or charts.
Who is the author of Data Envelopment Analysis?
Data Envelopment Analysis was written by Subhash C. Ray.
When was Data Envelopment Analysis published?
The publication date for this specific edition is 2012. The original work may have been published on a different date.