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Application of Logistic Modeling in Exploring Household Financial Education Levels amongst Middle Class in South Africa

机译:物流建模在南非中产阶级探索家庭金融教育水平中的应用

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In South Africa, financial literacy is crucial for households to make inform decisions. A total of 600 middle class households’ heads were interviewed. Pearson correlation model was used to establish association and logistic regression to identify the most significant factors. The most significant factors at micro-level were employment type (0.003), position at work (0.001), wages and salaries (0.032) while savings (0.09), repo rates (0.09), unemployment (0.31) as well as wages and salaries (0.10) were the most significant variables at the macro-level. Financial literacy among middle class households was inadequate and formal education is not equal to financial education.
机译:在南非,金融扫盲对家庭来说至关重要,以便做出决定。共有600家中产阶级的家庭掌握。 Pearson相关模型用于建立关联和逻辑回归以确定最重要的因素。微级最重要的因素是就业类型(0.003),工作职位(0.001),工资和工资(0.032),储蓄(0.09),回购率(0.09),失业率(0.31)以及工资和工资(0.10)是宏观级最重要的变量。中产阶级家庭金融扫盲不足,正规教育不等于金融教育。

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