Learning about financial health in Canada

IF 3.2 Q1 BUSINESS, FINANCE Quantitative Finance and Economics Pub Date : 2021-01-01 DOI:10.3934/qfe.2021024
Adam Metzler,Yuhao Zhou,Chuck Grace
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Abstract

This paper applies cluster analysis to eleven (continuous) years' worth of responses to the Canadian Payroll Association (CPA) survey of employed Canadians. The clustering algorithm clearly identifies three distinct groups of respondents. Between-group comparison of response patterns reveals that two of the groups lie on opposite sides of the financial health spectrum, and leads us to label their members "financially stressed" and "financially capable", respectively. The third group shares characteristics with both the stressed and capable groups, and we label its members as "financially coping". We find that financial stress is both widespread (one third of all respondents are identified as stressed) and complex (stress is only weakly related to simple demographics such as age or income). From a methodological perspective, an important point is that our use of cluster analysis allows us to generate rigorous insights into financial well-being, without having to measure it directly.
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了解加拿大的财务健康状况
本文应用聚类分析,以十一个(连续)年的价值回应加拿大工资协会(CPA)调查就业的加拿大人。聚类算法清楚地识别出三组不同的受访者。组间反应模式的比较表明,两个组处于财务健康谱的对立面,并导致我们分别将其成员标记为“财务压力”和“财务能力”。第三种群体与压力大的群体和有能力的群体都有相同的特征,我们将其成员称为“财务应对型”。我们发现,财务压力既广泛(三分之一的受访者被认为有压力)又复杂(压力与年龄或收入等简单人口统计数据的关系很弱)。从方法论的角度来看,重要的一点是,我们对聚类分析的使用使我们能够在不直接测量的情况下,对财务状况产生严格的见解。
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来源期刊
CiteScore
0.30
自引率
1.90%
发文量
14
审稿时长
12 weeks
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