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dc.contributor.advisorVega Bayo, Ainhoa ORCID
dc.contributor.advisorArtabe Echevarría, Alaitz ORCID
dc.contributor.authorSánchez Maudo, Ander
dc.date.accessioned2023-08-04T07:16:08Z
dc.date.available2023-08-04T07:16:08Z
dc.date.issued2023
dc.date.submitted2023-07-21
dc.identifier.urihttp://hdl.handle.net/10810/62099
dc.descriptionMaster in Economics: Empirical Applications and Policies. Academic Year 2022/23.es_ES
dc.description.abstractThis thesis investigates the gender pay gap in Spain using Machine Learning (ML) techniques to provide insights and predictive models to understand and address this persistent problem. This study uses a large dataset that includes various labor market factors, such as education, jobs, and industry, to train ML models to predict and explain the gender wage gap. Using advanced methodology, the research aims to identify the key drivers of the wage gap and highlight potential areas where gender-based wage discrimination may exist. The results of this analysis indicate that the gender pay gap is between 14% and 16%. This indicates that according to the estimated models, men are paid between 14 and 16% more in Spain. On the other hand, it is not possible to establish the variables that can explain this gender gap, since most of it is unexplained.es_ES
dc.language.isoenges_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/es/*
dc.subjectunadjusted gender gapes_ES
dc.subjectadjusted gender pay gapes_ES
dc.subjectmachine learninges_ES
dc.subjectdecompositiones_ES
dc.titleThe gender pay gap in Spain: A machine learning approaches_ES
dc.typeinfo:eu-repo/semantics/masterThesises_ES
dc.rights.holderAtribución-NoComercial-CompartirIgual 3.0 España*
dc.rights.holderAtribución-NoComercial-CompartirIgual 3.0 España*
dc.departamentoesAnálisis Económicoes_ES
dc.departamentoeuAnalisi Ekonomikoaes_ES


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Atribución-NoComercial-CompartirIgual 3.0 España
Except where otherwise noted, this item's license is described as Atribución-NoComercial-CompartirIgual 3.0 España