Which financial inclusion indicators and dimensions matter for income inequality? A Bayesian model averaging approach

IF 1.9 4区 经济学 Q2 ECONOMICS Empirical Economics Pub Date : 2024-02-23 DOI:10.1007/s00181-024-02559-2
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Abstract

This paper employs Bayesian model averaging (BMA) and uses posterior inclusion probability (PIP) values to evaluate which financial inclusion indicators, dimensions, and other determinants of income inequality should be considered in an empirical specification assessing the relationship between financial inclusion and income inequality, given model uncertainty. The results show that for the lower income country group, financial access and usage indicators are the most relevant financial inclusion indicators. For financial inclusion dimension, we find evidence on the importance of financial access. However, the results for upper income country group are different, suggesting the need to differentiate between the two groups in assessing the importance of financial inclusion on income inequality. These results suggest that theoretical models linking financial inclusion and income inequality could well focus on the role of financial access by providing theoretical foundations on the mechanics as to how this dimension of financial inclusion impact income inequality particularly for lower income countries.

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哪些金融包容性指标和维度与收入不平等有关?贝叶斯模型平均法
摘要 本文采用贝叶斯模型平均法(BMA),并使用后验包容概率(PIP)值来评估在模型不确定的情况下,在评估金融包容性与收入不平等之间关系的实证规范中,应考虑哪些金融包容性指标、维度以及收入不平等的其他决定因素。结果显示,对于低收入国家组,金融获取和使用指标是最相关的普惠金融指标。就金融包容性维度而言,我们发现了金融获取的重要性。然而,高收入国家组的结果却有所不同,这表明在评估金融包容性对收入不平等的重要性时需要区分这两个国家组。这些结果表明,将普惠金融与收入不平等联系起来的理论模型可以重点关注金融获取的作用,为普惠金融的这一维度如何影响收入不平等(尤其是低收入国家)的机制提供理论基础。
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来源期刊
CiteScore
4.40
自引率
0.00%
发文量
157
期刊介绍: Empirical Economics publishes high quality papers using econometric or statistical methods to fill the gap between economic theory and observed data. Papers explore such topics as estimation of established relationships between economic variables, testing of hypotheses derived from economic theory, treatment effect estimation, policy evaluation, simulation, forecasting, as well as econometric methods and measurement. Empirical Economics emphasizes the replicability of empirical results. Replication studies of important results in the literature - both positive and negative results - may be published as short papers in Empirical Economics. Authors of all accepted papers and replications are required to submit all data and codes prior to publication (for more details, see: Instructions for Authors).The journal follows a single blind review procedure. In order to ensure the high quality of the journal and an efficient editorial process, a substantial number of submissions that have very poor chances of receiving positive reviews are routinely rejected without sending the papers for review.Officially cited as: Empir Econ
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