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Advanced Mathematical Methods for Economic Efficiency Analysis

Edited by Pedro Macedo (), Victor Moutinho () and Mara Madaleno ()

in Lecture Notes in Economics and Mathematical Systems from Springer, currently edited by Gunter Fandel and Walter Trockel

Date: 2023
ISBN: 978-3-031-29583-6
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Chapters in this book:

Introduction
Mara Madaleno, Pedro Macedo and Victor Moutinho
Production Economics and Economic Efficiency
Mónica Meireles
Data Envelopment Analysis: A Review and Synthesis
Ana S. Camanho and Giovanna D’Inverno
Stochastic Frontier Analysis: A Review and Synthesis
Mara Madaleno and Victor Moutinho
Combining Directional Distances and ELECTRE Multicriteria Decision Analysis for Preferable Assessments of Efficiency
Thyago C. C. Nepomuceno and Cinzia Daraio
Benefit-of-the-Doubt Composite Indicators and Use of Weight Restrictions
Ana S. Camanho, Andreia Zanella and Victor Moutinho
Multidirectional Dynamic Inefficiency Analysis: An Extension to Include Corporate Social Responsibility
Magdalena Kapelko, Alfons Oude Lansink and Spiro Stefanou
Stochastic DEA
Samah Jradi and John Ruggiero
Internal Benchmarking for Efficiency Evaluations Using Data Envelopment Analysis: A Review of Applications and Directions for Future Research
Fabio Sartori Piran, Ana S. Camanho, Maria Conceição Silva and Daniel Pacheco Lacerda
Recent Advances in the Construction of Nonparametric Stochastic Frontier Models
Christopher F. Parmeter and Subal Kumbhakar
A Hierarchical Panel Data Model for the Estimation of Stochastic Metafrontiers: Computational Issues and an Empirical Application
Christine Amsler, Yi Yi Chen, Peter Schmidt and Hung Jen Wang
Robustness in Stochastic Frontier Analysis
Alexander Stead, Phill Wheat and William H. Greene
Is it MOLS or COLS?
Christopher F. Parmeter
Stochastic Frontier Analysis with Maximum Entropy Estimation
Pedro Macedo, Mara Madaleno and Victor Moutinho

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Persistent link: https://EconPapers.repec.org/RePEc:spr:lnecms:978-3-031-29583-6

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DOI: 10.1007/978-3-031-29583-6

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