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dc.contributor.authorLuque, Mariano
dc.contributor.authorMarcenaro Gutiérrez, Óscar D.
dc.contributor.authorGonzález Gallardo, Sandra
dc.contributor.authorRuiz, Ana B.
dc.date.accessioned2022-07-26T11:02:36Z
dc.date.available2022-07-26T11:02:36Z
dc.date.issued2022-06-30
dc.identifier.citationTowards a framework to combine multiobjective optimization and econometrics and an application in economics of education Mariano Luque, Oscar D. Marcenaro-Gutierrez, Sandra González-Gallardo and Ana B. Ruiz RAIRO-Oper. Res., 56 3 (2022) 2015-2035 [https://doi.org/10.1051/ro/2022084]es_ES
dc.identifier.urihttp://hdl.handle.net/10481/76355
dc.descriptionAcknowledgements. This work was supported by the Spanish Ministry of Science and Innovation (project PID2020-115429GB-I00), by the Andalusian Regional Ministry of Economy, Knowledge, Business and University (PAI group SEJ-532 and project UMA18-FEDERJA-024, also supported by FEDER funding), and by the University of Malaga (project B1-2020 18). Sandra Gonzalez-Gallardo is recipient of a research contract within “Ayudas para la Recualificación del Sistema Universitario Español, Modalidad Margarita Salas”, financiado por la Unión Europea – NextGenerationEU.es_ES
dc.description.abstractIn this paper, we propose a theoretical framework that combines econometric and multiobjective programming methodologies to help researchers to identify and achieve optimal solutions to socio-economic and management problems. Sometimes, it is important to analyse which combination of values of the explanatory variables -in an econometric model- would imply the simultaneous achievement of the best values of the response variables. In such situations, if certain degree of conflict is observed among the response variables, we propose to formulate a multiobjective optimization problem based on the conclusions obtained from a regression analysis. Subsequently, the application of multiobjective optimization techniques allows gaining a better insight about the conflicting relation between the response variables, and how a balanced “optimal” situation among them could be achieved. This piece of information can be hardly extracted just by econometric techniques. An application in the field of economics of education, related to the analysis of the students’ well-being as a way to improve their academic performance, demonstrates the potential of our proposal.es_ES
dc.description.sponsorshipSpanish Ministry of Science and Innovation (project PID2020-115429GB-I00)es_ES
dc.description.sponsorshipAndalusian Regional Ministry of Economy, Knowledge, Business and University (PAI group SEJ-532 and project UMA18-FEDERJA-024, also supported by FEDER funding)es_ES
dc.description.sponsorshipUniversity of Malaga (project B1-2020 18)es_ES
dc.description.sponsorship“Ayudas para la Recualificación del Sistema Universitario Español, Modalidad Margarita Salas”, financiado por la Unión Europea – NextGenerationEUes_ES
dc.language.isoenges_ES
dc.publisherEDP Scienceses_ES
dc.rightsAtribución 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectMultiple objective decision-makinges_ES
dc.subjectEconometrics es_ES
dc.subjectMultiobjective optimizationes_ES
dc.subjectEconomics of educationes_ES
dc.titleTowards a framework to combine multiobjective optimization and econometrics and an application in economics of educationes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.identifier.doi10.1051/ro/2022084
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones_ES


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