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Juan Aparicio, José L. Zofío, & Jesús T. Pastor (2023). Decomposing Economic Efficiency into Technical and Allocative Components: An Essential Property. Journal of Optimization Theory and Applications, 197, 98-129.

Juan Aparicio (Center of Operations Research, Miguel Hernandez University of Elche; valgrAI – Valencian Graduate School and Research Network of Artificial Intelligence), José L. Zofío (Department of Economics, Universidad Autónoma de Madrid; Erasmus Research Institute of Management, Erasmus University) and Jesús T. Pastor (Center of Operations Research, Miguel Hernandez University of Elche)
Abstract:
We introduce two desirable […]

Maria D. Guillen, Juan Aparicio, & Miriam Esteve (2023). Performance Evaluation of Decision-Making Units Through Boosting Methods in the Context of Free Disposal Hull: Some Exact and Heuristic Algorithms. International Journal of Information Technology & Decision Making, 1-30.

María D. Guillén (Center of Operations Research, Miguel Hernandez University of Elche), Juan Aparicio (Center of Operations Research, Miguel Hernandez University of Elche; Valencian Graduate School and Research Network of Artificial Intelligence (valgrAI) and Miriam Esteve (Center of Operations Research, Miguel Hernandez University of Elche)
Abstract:
This paper aims to show how to calculate different efficiency measures […]

Miriam Esteve, Juan Aparicio, Jesus J. Rodriguez-Sala, & Joe Zhu (2023). Random Forests and the measurement of super-efficiency in the context of Free Disposal Hull. European Journal of Operational Research, 304, 729-744.

Miriam Esteve (Center of Operations Research, Miguel Hernandez University of Elche), Juan Aparicio (Center of Operations Research, Miguel Hernandez University of Elche), Jesús J. Rodríguez-Sala (Center of Operations Research, Miguel Hernandez University of Elche) and Joe Zhu (Foisie Business School, Worcester Polytechnic Institute, United States)
Abstract:
In the technical efficiency evaluation area, it may happen that many […]

Juan Aparicio, & Miriam Esteve (2023). How to peel a data envelopment analysis frontier: A cross-validation-based approach. Journal of the Operational Research Society, 74, 2558-2572.

Juan Aparicio (Miguel Hernández University of Elche; Valencian Graduate School and Research Network of Artificial Intelligence (valgrAI), and Miriam Esteve (Miguel Hernández University of Elche)
Abstract:
Data Envelopment Analysis (DEA) presents the typical characteristics of a data-driven approach with the specific objective of determining technical efficiency and production frontiers in Engineering and Microeconomics. However, by construction, the […]