東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Advanced mathematical methods for ec...

Macedo, Pedro.

FindBook

Google Book

Amazon

博客來

Advanced mathematical methods for economic efficiency analysis = theory and empirical applications /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Advanced mathematical methods for economic efficiency analysis/ edited by Pedro Macedo, Victor Moutinho, Mara Madaleno.
其他題名:	theory and empirical applications /
其他作者:	Macedo, Pedro.
出版者:	Cham :Springer International Publishing : : 2023.,
面頁冊數:	x, 264 p. :ill., digital ;24 cm.
內容註:	Chapter 1. Introduction -- Part I -- Chapter 2. Production Economics and Economic Efficiency (Mónica Meireles) -- Chapter 3. Data Envelopment Analysis: A Review and Synthesis (Ana S. Camanho) -- Chapter 4. Stochastic Frontier Analysis: A Review and Synthesis (Mara Madaleno) -- Part II -- Chapter 5. Combining Directional Distances and ELECTRE Multicriteria Decision Analysis for Preferable Assessments of Efficiency (Thyago Nepomuceno) -- Chapter 6. Benefit-of-the-Doubt Composite Indicators and use of Weight Restrictions (Ana S. Camanho) -- Chapter 7. Multidirectional Dynamic Inefficiency Analysis: An Extension to Include Corporate Social Responsibility (Magdalena Kapelko) -- Chapter 8. Stochastic DEA (Samah Jradi) -- Chapter 9. Internal Benchmarking for Efficiency Evaluations using Data Envelopment Analysis: A Review of Applications and Directions for Future Research (Fabio Sartori Piran) -- Part III -- Chapter 10. Recent Advances in the Construction of Nonparametric Stochastic Frontier Models (Christopher F. Parmeter) -- Chapter 11. A Hierarchical Panel Data Model for the Estimation of Stochastic Metafrontiers: Computational Issues and an Empirical Application (Christine Amsler) -- Chapter 12. Robustness in Stochastic Frontier Analysis (Alexander D. Stead) -- Chapter 13. Is it MOLS or COLS? (Christopher F. Parmeter) -- Chapter 14. Stochastic Frontier Analysis with Maximum Entropy Estimation (Pedro Macedo)
Contained By:	Springer Nature eBook
標題:	Economics - Mathematical models. -
電子資源:	https://doi.org/10.1007/978-3-031-29583-6
ISBN:	9783031295836

Advanced mathematical methods for economic efficiency analysis = theory and empirical applications /
Advanced mathematical methods for economic efficiency analysistheory and empirical applications /[electronic resource] :edited by Pedro Macedo, Victor Moutinho, Mara Madaleno. - Cham :Springer International Publishing :2023. - x, 264 p. :ill., digital ;24 cm. - Lecture notes in economics and mathematical systems,v. 6922196-9957 ;. - Lecture notes in economics and mathematical systems,v. 692..

Chapter 1. Introduction -- Part I -- Chapter 2. Production Economics and Economic Efficiency (Mónica Meireles) -- Chapter 3. Data Envelopment Analysis: A Review and Synthesis (Ana S. Camanho) -- Chapter 4. Stochastic Frontier Analysis: A Review and Synthesis (Mara Madaleno) -- Part II -- Chapter 5. Combining Directional Distances and ELECTRE Multicriteria Decision Analysis for Preferable Assessments of Efficiency (Thyago Nepomuceno) -- Chapter 6. Benefit-of-the-Doubt Composite Indicators and use of Weight Restrictions (Ana S. Camanho) -- Chapter 7. Multidirectional Dynamic Inefficiency Analysis: An Extension to Include Corporate Social Responsibility (Magdalena Kapelko) -- Chapter 8. Stochastic DEA (Samah Jradi) -- Chapter 9. Internal Benchmarking for Efficiency Evaluations using Data Envelopment Analysis: A Review of Applications and Directions for Future Research (Fabio Sartori Piran) -- Part III -- Chapter 10. Recent Advances in the Construction of Nonparametric Stochastic Frontier Models (Christopher F. Parmeter) -- Chapter 11. A Hierarchical Panel Data Model for the Estimation of Stochastic Metafrontiers: Computational Issues and an Empirical Application (Christine Amsler) -- Chapter 12. Robustness in Stochastic Frontier Analysis (Alexander D. Stead) -- Chapter 13. Is it MOLS or COLS? (Christopher F. Parmeter) -- Chapter 14. Stochastic Frontier Analysis with Maximum Entropy Estimation (Pedro Macedo)

Economic efficiency analysis has received considerable worldwide attention in the last few decades, with Stochastic Frontier Analysis (SFA) and Data Envelopment Analysis (DEA) establishing themselves as the two dominant approaches in the literature. This book, by combining cutting-edge theoretical research on DEA and SFA with attractive real-world applications, offers a valuable asset for professors, students, researchers, and professionals working in all branches of economic efficiency analysis, as well as those concerned with the corresponding economic policies. The book is divided into three parts, the first of which is devoted to basic concepts, making the content self-contained. The second is devoted to DEA, and the third to SFA. The topics covered in Part 2 range from stochastic DEA to multidirectional dynamic inefficiency analysis, including directional distance functions, the elimination and choice translating algorithm, benefit-of-the-doubt composite indicators, and internal benchmarking for efficiency evaluations. Part 3 also includes exciting and cutting-edge theoretical research on e.g. robustness, nonparametric stochastic frontier models, hierarchical panel data models, and estimation methods like corrected ordinary least squares and maximum entropy.

ISBN: 9783031295836

Standard No.: 10.1007/978-3-031-29583-6doiSubjects--Topical Terms:

654250
Economics
--Mathematical models.

LC Class. No.: HB135 / .A28 2023

Dewey Class. No.: 330.0151

Advanced mathematical methods for economic efficiency analysis = theory and empirical applications /
LDR:03858nmm a2200337 a 4500 001 2332149
003 DE-He213
005 20230621162337.0
006 m d
007 cr nn 008maaau
008 240402s2023 sz s 0 eng d
020 $a 9783031295836 $q (electronic bk.)
020 $a 9783031295829 $q (paper)
024 7 $a 10.1007/978-3-031-29583-6 $2 doi
035 $a 978-3-031-29583-6
040 $a GP $c GP
041 0 $a eng
050 4 $a HB135 $b .A28 2023
072 7 $a KCA $2 bicssc
072 7 $a BUS069030 $2 bisacsh
072 7 $a KCA $2 thema
082 0 4 $a 330.0151 $2 23
090 $a HB135 $b .A244 2023
245 0 0 $a Advanced mathematical methods for economic efficiency analysis $h [electronic resource] : $b theory and empirical applications / $c edited by Pedro Macedo, Victor Moutinho, Mara Madaleno.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2023.
300 $a x, 264 p. : $b ill., digital ; $c 24 cm.
490 1 $a Lecture notes in economics and mathematical systems, $x 2196-9957 ; $v v. 692
505 0 $a Chapter 1. Introduction -- Part I -- Chapter 2. Production Economics and Economic Efficiency (Mónica Meireles) -- Chapter 3. Data Envelopment Analysis: A Review and Synthesis (Ana S. Camanho) -- Chapter 4. Stochastic Frontier Analysis: A Review and Synthesis (Mara Madaleno) -- Part II -- Chapter 5. Combining Directional Distances and ELECTRE Multicriteria Decision Analysis for Preferable Assessments of Efficiency (Thyago Nepomuceno) -- Chapter 6. Benefit-of-the-Doubt Composite Indicators and use of Weight Restrictions (Ana S. Camanho) -- Chapter 7. Multidirectional Dynamic Inefficiency Analysis: An Extension to Include Corporate Social Responsibility (Magdalena Kapelko) -- Chapter 8. Stochastic DEA (Samah Jradi) -- Chapter 9. Internal Benchmarking for Efficiency Evaluations using Data Envelopment Analysis: A Review of Applications and Directions for Future Research (Fabio Sartori Piran) -- Part III -- Chapter 10. Recent Advances in the Construction of Nonparametric Stochastic Frontier Models (Christopher F. Parmeter) -- Chapter 11. A Hierarchical Panel Data Model for the Estimation of Stochastic Metafrontiers: Computational Issues and an Empirical Application (Christine Amsler) -- Chapter 12. Robustness in Stochastic Frontier Analysis (Alexander D. Stead) -- Chapter 13. Is it MOLS or COLS? (Christopher F. Parmeter) -- Chapter 14. Stochastic Frontier Analysis with Maximum Entropy Estimation (Pedro Macedo)
520 $a Economic efficiency analysis has received considerable worldwide attention in the last few decades, with Stochastic Frontier Analysis (SFA) and Data Envelopment Analysis (DEA) establishing themselves as the two dominant approaches in the literature. This book, by combining cutting-edge theoretical research on DEA and SFA with attractive real-world applications, offers a valuable asset for professors, students, researchers, and professionals working in all branches of economic efficiency analysis, as well as those concerned with the corresponding economic policies. The book is divided into three parts, the first of which is devoted to basic concepts, making the content self-contained. The second is devoted to DEA, and the third to SFA. The topics covered in Part 2 range from stochastic DEA to multidirectional dynamic inefficiency analysis, including directional distance functions, the elimination and choice translating algorithm, benefit-of-the-doubt composite indicators, and internal benchmarking for efficiency evaluations. Part 3 also includes exciting and cutting-edge theoretical research on e.g. robustness, nonparametric stochastic frontier models, hierarchical panel data models, and estimation methods like corrected ordinary least squares and maximum entropy.
650 0 $a Economics $x Mathematical models. $3 654250
650 1 4 $a Quantitative Economics. $3 3538570
650 2 4 $a Mathematics in Business, Economics and Finance. $3 3538573
650 2 4 $a Resource and Environmental Economics. $3 3591640
700 1 $a Macedo, Pedro. $3 3661768
700 1 $a Moutinho, Victor. $3 3661769
700 1 $a Madaleno, Mara. $3 3661770
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Lecture notes in economics and mathematical systems, $v v. 692. $3 3661771
856 4 0 $u https://doi.org/10.1007/978-3-031-29583-6
950 $a Economics and Finance (SpringerNature-41170)