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Charles, V., Diaz, J., Aparicio, J. (2022) “The performance of regional governments under the results-based budgeting framework: A two-stage sectoral analysis”, RAIRO – Operations Research, 56 (2):501–508

Vincent Charles (CENTRUM Católica Graduate Business School and Pontifical Catholic University of Peru, Lima, Peru), Juan Diaz (Universidad Nacional Mayor de San Marcos, Lima, Peru) and Juan Aparicio (University Miguel Hernandez of Elche)
Abstract: The results-based budgeting (RBB) framework is a public management strategy in which economic resources are allocated to certain budget programs, oriented towards […]

Krause, J., Burgard, J.P., Morales, D. (2022) “ℓ2 -penalized approximate likelihood inference in logit mixed models for regional prevalence estimation under covariate rank-deficiency”, Metrika, 85 (4):459–489

Joscha Krause, Jan Pablo Burgard (Department of Economic and Social Statistics, Trier University) and Domingo Morales (Operations Research Center, University Miguel Hernández of Elche)
Abstract: Regional prevalence estimation requires the use of suitable statistical methods on epidemiologic data with substantial local detail. Small area estimation with medical treatment records as covariates marks a promising combination for […]

Valero-Carreras, D., Aparicio, J., Guerrero, N.M. (2022) “Multi-output Support Vector Frontiers”, Computers and Operations Research, 143:105765

Daniel Valero, Juan Aparicio and Nadia Guerrero (Operations Research Center, University Miguel Hernández of Elche)
Abstract: In this paper, we show that both Free Disposal Hull (FDH) and Data Envelopment Analysis (DEA), which are well-known modern techniques for efficiency measurement, can be seen as particular cases of a more general model based upon Support Vector Regression […]

Aparicio, J., Perelman, S., Santín, D.. (2022) “Comparing the evolution of productivity and performance gaps in education systems through DEA: an application to Latin American countries”, Operational Research, 22 (2):1443–1477

Juan Aparicio (Operations Research Center, University Miguel Hernández of Elche), Sergio Perelman (HEC-Management School, University of Liège) and Daniel Santín (Department of Applied Economics, Public Economics and Political Economy and Complutense Institute of Economic Analysis, Complutense University of Madrid)
Abstract: The main objective of this paper is to propose a tool for measuring the productivity and […]

González, M., López-Espín, J.J., Aparicio, J., Talbi, E.-G. (2022) “A hyper-matheuristic approach for solving mixed integer linear optimization models in the context of data envelopment analysis”, PeerJ Computer Science, 8:e828

Martín González, José Juan López, Juan Aparicio (Operations Research Center, University Miguel Hernández of Elche) and  Emna Talbi (INRIA, Université des Sciences et Technologies de Lille)
Abstract: Mixed Integer Linear Programs (MILPs) are usually NP-hard mathematical programming problems, which present difficulties to obtain optimal solutions in a reasonable time for large scale models. Nowadays, metaheuristics are […]