The influence of financial literacy on financial resilience - New evidence from Europe during the COVID-19 crisis

被引:18
作者
Erdem, Diba [1 ]
Rojahn, Joachim [2 ]
机构
[1] UCAM Catholic Univ Murcia, Murcia, Spain
[2] FOM Univ Appl Sci Econ & Management, ISF Inst Strateg Finance, Essen, Germany
基金
欧盟地平线“2020”;
关键词
Financial literacy; Financial resilience; COVID-19; Variable importance; Logistic regression; Partial proportional odds regression; Conditional random forest; RELATIVE IMPORTANCE; VARIABLE IMPORTANCE; LINEAR-REGRESSION; RETIREMENT; PARTICIPATION; DETERMINANTS; MODELS; HEALTH;
D O I
10.1108/MF-09-2021-0442
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
Purpose This study examines the importance of financial literacy in explaining financial resilience in four continental European countries during the coronavirus disease 2019 (COVID-19) crisis while controlling for a wide set of additional determinants. Design/methodology/approach Variable importance may vary with the technique applied. Therefore, different classification techniques, such as logistic regression, partial proportional odds regression, and conditional random forest, have been employed. The analysis relies on the Survey of Health, Ageing and Retirement in Europe in the context of COVID-19, collecting 4,781 observations from France, Germany, Italy, and Spain. Findings In line with previous studies, financial resilience is found to increase with financial literacy that consistently ranks in the midfield in terms of variable importance among all explanatory variables. Practical implications The findings reveal the most important features that improve financial resilience. Financial literacy is one of the few determinants of financial resilience that can be actively shaped. To increase preparedness for future crises, a policy mix of financial education, regulation, and nudging may help increase financial literacy and, subsequently, financial resilience. Originality/value The better the financial literacy, the more protected individuals are from macroeconomic shocks. However, most previous studies do not rely on data samples that cover such crises. Moreover, most of the previous studies rely on single classification techniques, while this study applied traditional and data-mining techniques to assess feature importance.
引用
收藏
页码:1453 / 1471
页数:19
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