什么在金融教育中起作用?项目影响的实验证据

IF 1.6 3区 经济学 Q2 ECONOMICS
Gonzalo Llamosas García , Cristina Mazas Pérez-Oleaga
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引用次数: 0

摘要

金融教育对于保障个人和企业的福祉越来越重要。本研究使用双方法框架系统地回顾了全球金融教育实验,该框架将深度学习分类器与先进的多元统计技术相结合。我们的分析表明,虽然金融知识的短期改善是普遍的,但如果没有持续的加强,这种收益往往会随着时间的推移而减少。此外,数字创新和货币激励的影响有限,这表明成功的金融教育不仅取决于部署技术解决方案或外部奖励。总体而言,本综述为动态经济背景下不断变化的金融教育格局提供了有价值的见解,并强调了制定可持续战略以确保金融知识持续改善的必要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
What works in financial education? Experimental evidence on program impact
Financial education is increasingly essential for safeguarding both individual and corporate well-being. This study systematically reviews global financial education experiments using a dual-method framework that integrates a deep learning classifier with advanced multivariate statistical techniques. Our analysis indicates that while short-term improvements in financial literacy are common, such gains tend to diminish over time without ongoing reinforcement. Moreover, the limited impact of digital innovations and monetary incentives suggests that successful financial education depends on more than simply deploying technological solutions or extrinsic rewards. Overall, this review provides valuable insights into the evolving landscape of financial education in a dynamic economic context and underscores the need for sustainable strategies that secure lasting improvements in financial literacy.
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来源期刊
CiteScore
2.60
自引率
12.50%
发文量
113
审稿时长
83 days
期刊介绍: The Journal of Behavioral and Experimental Economics (formerly the Journal of Socio-Economics) welcomes submissions that deal with various economic topics but also involve issues that are related to other social sciences, especially psychology, or use experimental methods of inquiry. Thus, contributions in behavioral economics, experimental economics, economic psychology, and judgment and decision making are especially welcome. The journal is open to different research methodologies, as long as they are relevant to the topic and employed rigorously. Possible methodologies include, for example, experiments, surveys, empirical work, theoretical models, meta-analyses, case studies, and simulation-based analyses. Literature reviews that integrate findings from many studies are also welcome, but they should synthesize the literature in a useful manner and provide substantial contribution beyond what the reader could get by simply reading the abstracts of the cited papers. In empirical work, it is important that the results are not only statistically significant but also economically significant. A high contribution-to-length ratio is expected from published articles and therefore papers should not be unnecessarily long, and short articles are welcome. Articles should be written in a manner that is intelligible to our generalist readership. Book reviews are generally solicited but occasionally unsolicited reviews will also be published. Contact the Book Review Editor for related inquiries.
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