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Financial literacy and individual success: Lebanese framework modeling

Bachir El Murr, Genane Youness (), Hala Gharib and Mayssaa Daher
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Bachir El Murr: LU / ULB - الجامعة اللبنانية [بيروت] = Lebanese University [Beirut] = Université libanaise [Beyrouth]
Genane Youness: CEDRIC - Centre d'études et de recherche en informatique et communications - ENSIIE - Ecole Nationale Supérieure d'Informatique pour l'Industrie et l'Entreprise - CNAM - Conservatoire National des Arts et Métiers [CNAM] - HESAM - HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université, ISSAE-CNAM Liban - Institut supérieur des sciences appliquées et économiques - CNAM Liban - CNAM - Conservatoire National des Arts et Métiers [CNAM] - HESAM - HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université, LINEACT - Laboratoire d'Innovation Numérique pour les Entreprises et les Apprentissages au service de la Compétitivité des Territoires - CESI - CESI : groupe d’Enseignement Supérieur et de Formation Professionnelle - HESAM - HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université
Hala Gharib: LU / ULB - الجامعة اللبنانية [بيروت] = Lebanese University [Beirut] = Université libanaise [Beyrouth]
Mayssaa Daher: Auteur indépendant

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Abstract: This paper sheds light on the role the financial literacy features may play amid other determinant factors of individual success. A survey is conducted on a random sample of households' members, based on the individual perception as an assessment criteria of financial literacy status and career success. A non-parametric method, ctree, and a semi-parametric method, the multivariate logistic regression with interaction using random forest, are used. The two models are built to perform supervised learning classifications. They are validated through 10-fold cross validation technique to assure their capability to predict key factors of individual success, among which financial literacy features. It shows that personal and socioeconomic factors do not have any noticeable impact on professional success. Current educational system seems offering light insight on the professional perspectives of individuals. Financial literacy factors

Keywords: financial literacy; individual success; ctree; multivariate logistic regression; Random Forest (search for similar items in EconPapers)
Date: 2021-06-29
New Economics Papers: this item is included in nep-big, nep-cwa, nep-fle and nep-isf
Note: View the original document on HAL open archive server: https://hal.science/hal-03295623
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Published in 10e Congrès international de l’AFEP 2021 : Ressources, Association Française d'Economie Politique, Jun 2021, Toulouse, France

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