运用多元统计方法分析金融素养——社会创新的一种可能表现

K. Fodor
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引用次数: 1

摘要

金融知识是一个有趣的研究领域。在本文中,我的目的是借助统计方法回答有关金融素养的三个重要问题。能否预测一个国家的金融知识水平是否合适?在观察到的国家中能否确定同质群体?收入群体是否影响金融知识水平?对于金融素养的预测,我使用了成员逻辑回归。这两个自变量是人类发展指数和政府教育支出(GDP%)。我能够达到88.5%的分类准确率。为了回答我的第二个问题,我创建了集群,并使用Ward的方法创建了五个同质组。我发现有一群人的金融知识水平极低。为了回答我的第三个问题,我使用了卡方独立性检验。在分析过程中,我得出结论,金融素养和收入群体并不是相互独立的。
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Using Multivariate Statistical Methods for Analysing Financial Literacy, as a Possible Appearance of Social Innovation
Financial literacy is an interesting research area. In this paper my aim is to answer three important questions about financial literacy with help of statistical methods. Can it be predicted whether a country has an appropriate level of financial literacy? Can homogenous groups be identified among the observed countries? Does the income group influence the level of financial literacy? For the prediction of financial literacy I used membership logistic regression. The two independent variables were the Human Development Index and Government expenditure on education (GDP%). I was able to achieve a classification accuracy of 88.5%. To answer my second question I created clusters and used Ward’s method to create five homogeneous groups. I identified one group with an extremely low level of financial literacy. To answer my third question I used the Chi-square test for Independence. During the analysis I came to the conclusion that financial literacy and income group are not independent of each other.
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