Name: Advanced Mathematical Methods for Economic Efficiency Analysis (en Inglés)
SKU: 63502125
Price: 51.93 USD
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Author: Mara Madaleno;Pedro Macedo;Victor Moutinho

portada Advanced Mathematical Methods for Economic Efficiency Analysis (en Inglés)

Advanced Mathematical Methods for Economic Efficiency Analysis (en Inglés)

Formato

Libro Físico

Editorial

Springer Nature B.V.

Autor

Mara Madaleno;Pedro Macedo;Victor Moutinho

Año

2023

Idioma

Inglés

N° páginas

276

Encuadernación

Tapa Blanda

Dimensiones

23.4x15.6 cm

ISBN13

9783031295843

Advanced Mathematical Methods for Economic Efficiency Analysis (en Inglés)

Mara Madaleno;Pedro Macedo;Victor Moutinho (Autor) · Springer Nature B.V. · Tapa Blanda

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Reseña del libro "Advanced Mathematical Methods for Economic Efficiency Analysis (en Inglés)"

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.