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Data Envelopment Analysis: A Comprehensive Text with Models, Applications, References, And DEA-Solver Software, 2nd Edition is designed to provide a systematic introduction to DEA and its uses as a multifaceted tool for evaluating problems in a variety of contexts. Each chapter accompanies its developments with simple numerical examples and discussions of actual applications. Emphasis is placed on the use as well as an understanding of DEA and the topics in this book have been selected and treated accordingly. The first nine chapters cover the basic principles of DEA and the final seven chapters are more advanced treatment of DEA. These final chapters were completely revised into new chapters, reflecting recent developments that greatly extend the power and scope of DEA and lead to new directions for research and DEA uses. Together with the first ten chapters of the basic principles, they will provide students and researchers with a solid understanding of the methodology, its uses and its potential.




Data Envelopment Analysis (DEA) has grown into a powerful, quantitative analytical tool for measuring and evaluating performance. This volume offers a systematic introduction to DEA and its uses as a multifaceted tool for evaluating problems in a variety of contexts. Each chapter accompanies its developments with simple numerical examples and discussions of actual applications. Emphasis is placed on the use as well as an understanding of DEA and the topics in this book have been selected and treated accordingly. The first nine chapters cover the basic principles of DEA, while the final seven chapters provide a more advanced treatment. For this new, second edition, these final chapters have been completely revised, reflecting recent developments that have greatly extended the power and scope of DEA and have lead to new directions for research and DEA uses. This new edition systematically details both the basic principles and new developments in DEA, offering a solid understanding of the methodology, its uses, and its potential.




Data Envelopment Analysis (DEA) has grown into a powerful, quantitative analytical tool for measuring and evaluating performance. This volume offers a systematic introduction to DEA and its uses as a multifaceted tool for evaluating problems in a variety of contexts. Each chapter accompanies its developments with simple numerical examples and discussions of actual applications. Emphasis is placed on the use as well as an understanding of DEA and the topics in this book have been selected and treated accordingly. The first nine chapters cover the basic principles of DEA, while the final seven chapters provide a more advanced treatment. For this new, second edition, these final chapters have been completely revised, reflecting recent developments that have greatly extended the power and scope of DEA and have lead to new directions for research and DEA uses. This new edition systematically details both the basic principles and new developments in DEA, offering a solid understanding of the methodology, its uses, and its potential.


Content:
Front Matter....Pages i-xxxviii
General Discussion....Pages 1-20
The Basic CCR Model....Pages 21-39
The CCR Model and Production Correspondence....Pages 41-85
Alternative Dea Models....Pages 87-130
Returns to Scale....Pages 131-176
Models with Restricted Multipliers....Pages 177-213
Non-Discretionary and Categorical Variables....Pages 215-255
Allocation Models....Pages 257-281
Data Variations....Pages 283-307
Super-Efficiency Models....Pages 309-321
Efficiency Change over Time....Pages 323-347
Scale Elasticity and Congestion....Pages 349-366
Undesirable Outputs Models....Pages 367-379
Economies of Scope and Capacity Utilization....Pages 381-404
A Dea Game....Pages 405-421
Multi-Stage Use of Parametric and Non-Parametric Models....Pages 423-442
Back Matter....Pages 443-490


Data Envelopment Analysis (DEA) has grown into a powerful, quantitative analytical tool for measuring and evaluating performance. This volume offers a systematic introduction to DEA and its uses as a multifaceted tool for evaluating problems in a variety of contexts. Each chapter accompanies its developments with simple numerical examples and discussions of actual applications. Emphasis is placed on the use as well as an understanding of DEA and the topics in this book have been selected and treated accordingly. The first nine chapters cover the basic principles of DEA, while the final seven chapters provide a more advanced treatment. For this new, second edition, these final chapters have been completely revised, reflecting recent developments that have greatly extended the power and scope of DEA and have lead to new directions for research and DEA uses. This new edition systematically details both the basic principles and new developments in DEA, offering a solid understanding of the methodology, its uses, and its potential.


Content:
Front Matter....Pages i-xxxviii
General Discussion....Pages 1-20
The Basic CCR Model....Pages 21-39
The CCR Model and Production Correspondence....Pages 41-85
Alternative Dea Models....Pages 87-130
Returns to Scale....Pages 131-176
Models with Restricted Multipliers....Pages 177-213
Non-Discretionary and Categorical Variables....Pages 215-255
Allocation Models....Pages 257-281
Data Variations....Pages 283-307
Super-Efficiency Models....Pages 309-321
Efficiency Change over Time....Pages 323-347
Scale Elasticity and Congestion....Pages 349-366
Undesirable Outputs Models....Pages 367-379
Economies of Scope and Capacity Utilization....Pages 381-404
A Dea Game....Pages 405-421
Multi-Stage Use of Parametric and Non-Parametric Models....Pages 423-442
Back Matter....Pages 443-490
....
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