Financial literacy and individual success: Lebanese framework modeling

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