人们能相信他们不理解的东西吗?语言和信任对普惠金融的作用

IF 0.5 Q4 ECONOMICS
Aleksandra Nagańska, S. Cichocki
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引用次数: 0

摘要

本文的目的是通过对金融概念和金融语言的理解来研究金融普惠的决定因素。具体来说,我们感兴趣的是,如果缺乏这种理解,哪些因素是重要的。我们表明,在金融背景下,沟通是鼓励或阻止个人参与金融体系的重要传播渠道。我们认为,对产品的不熟悉和银行部门使用的语言的复杂性往往会限制对金融机构的信任。我们检验了语言多样性是缺乏沟通对信任影响的有力工具这一假设。我们将普通最小二乘、概率回归、分位数回归和工具变量应用于跨国和个人层面的数据,展示了个人和文化特征的重要性,并展示了信任和沟通对普惠金融的作用。对于不同的模型规范,结果是一致的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Can People Trust What They Don‘t Understand? Role of Language and Trust for Financial Inclusion
Abstract The aim of this paper is to look at determinants of financial inclusion through the lens of comprehension of financial concepts and financial language. Specifically, we are interested in which factors are important should this comprehension be absent. We show that, in the context of finance, communication is an important transmission channel through which individuals are encouraged or discouraged to participate in the financial system. We argue that the unfamiliarity with products and the complexity of language used in the banking sector tend to limit trust granted to financial institutions. We test the hypothesis that linguistic diversity is a strong instrument for the impact of the lack of communication on trust. Applying Ordinary Least Squares and probit regression, quantile regression, and instrumental variables to cross country and individual-level data, we show the importance of individual and cultural characteristics and demonstrate the role of trust and communication for financial inclusion. The outcome is consistent for different model specifications.
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来源期刊
CiteScore
0.60
自引率
0.00%
发文量
9
期刊介绍: The Central European Journal of Economic Modelling and Econometrics (CEJEME) is a quarterly international journal. It aims to publish articles focusing on mathematical or statistical models in economic sciences. Papers covering the application of existing econometric techniques to a wide variety of problems in economics, in particular in macroeconomics and finance are welcome. Advanced empirical studies devoted to modelling and forecasting of Central and Eastern European economies are of particular interest. Any rigorous methods of statistical inference can be used and articles representing Bayesian econometrics are decidedly within the range of the Journal''s interests.
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