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Advanced Mathematical Methods For Economic Efficiency Analysis Theory And Empirical Applications 1st Edition Pedro Macedo

  • SKU: BELL-50575330
Advanced Mathematical Methods For Economic Efficiency Analysis Theory And Empirical Applications 1st Edition Pedro Macedo
$ 31.00 $ 45.00 (-31%)

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Advanced Mathematical Methods For Economic Efficiency Analysis Theory And Empirical Applications 1st Edition Pedro Macedo instant download after payment.

Publisher: Springer
File Extension: PDF
File size: 3.71 MB
Pages: 266
Author: Pedro Macedo, Victor Moutinho, Mara Madaleno
ISBN: 9783031295829, 303129582X
Language: English
Year: 2023
Edition: 1

Product desciption

Advanced Mathematical Methods For Economic Efficiency Analysis Theory And Empirical Applications 1st Edition Pedro Macedo by Pedro Macedo, Victor Moutinho, Mara Madaleno 9783031295829, 303129582X instant download after payment.

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.


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