Determinants of the level of financial inclusion in Mexico: an analysis using neural networks; Determinantes del nivel de inclusión financiera en México: un análisis con redes neuronales

dc.contributor.authorDíaz-Rodríguez, H.E.
dc.contributor.authorSosa-Castro, M.
dc.contributor.authorCabello Rosales, M.A.
dc.date.accessioned2026-02-19T19:15:58Z
dc.date.issued2025
dc.description.abstractThis article analyzes the socio-economic and demographic determinants of financial inclusion in Mexico. Using microdata from the 2021 National Survey of Financial Inclusion (ENIF, for its acronym in Spanish), a financial inclusion index is created that includes the following products: credit card, savings account, investment fund, mortgage loan, insurance and pension fund. The main socio-economic and demographic determinants of the level of inclusion by income levels were estimated using artificial neural networks. The evidence indicates that the level of financial inclusion is based on level of income, level of education and occupation.
dc.identifier.issn3017036
dc.identifier.urihttps://doi.org/10.22201/iiec.20078951e.2025.221.70234
dc.identifier.urihttps://rdigef.unam.mx/handle/rdigef/734
dc.language.isoes
dc.publisherProblemas del Desarrollo
dc.subjectArtificial neural networks
dc.subjectFinancial inclusion
dc.subjectInclusion factors
dc.titleDeterminants of the level of financial inclusion in Mexico: an analysis using neural networks; Determinantes del nivel de inclusión financiera en México: un análisis con redes neuronales
dc.typeArticle

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