| 期刊全稱 | Advanced Mathematical Methods for Economic Efficiency Analysis | | 期刊簡稱 | Theory and Empirical | | 影響因子2023 | Pedro Macedo,Victor Moutinho,Mara Madaleno | | 視頻video | http://file.papertrans.cn/146/145905/145905.mp4 | | 發(fā)行地址 | Presents the latest research on economic efficiency analysis.Demonstrates cutting-edge theoretical research using both stochastic frontier analysis and data envelopment analysis.Offers attractive real | | 學(xué)科分類 | Lecture Notes in Economics and Mathematical Systems | | 圖書封面 |  | | 影響因子 | .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 model | | Pindex | Book 2023 |
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