Monte Carlo-Based Bayesian Path Analysis for Modeling Indirect Financial Effects on Literacy in Emerging Markets

• 발행기관: 세종대학교 경제통합연구소
• 저자명: Fachira Haneinanda Junianto Fernandes Solimun Solimun Ani Budi Astuti
• 간행물 정보: 『Journal of Economic Integration』제40권 제4호, 677~696쪽, 전체 20쪽
• 주제분류: 경제경영 > 경제학
• 파일형태: PDF
• 발행일자: 2025.12.31

국문 초록

Banking literacy is an important foundation in realizing financial inclusion, especially in developing countries such as Indonesia. This study examines the indirect effects of payment instrument use, financial inclusion, and financial capacity on banking literacy, with financial knowledge as a mediator. A Bayesian Parametric Path Analysis approach is used with estimation through Markov Chain Monte Carlo (MCMC) simulation. Primary data were obtained from a national survey of 600 respondents selected through multistage sampling. Results show that the three exogenous variables have significant indirect effects through financial knowledge, with credible intervals of all paths above zero. The Bayesian approach allows flexible estimation and probabilistic interpretation. The findings provide theoretical contributions and practical implications for financial education policies that support the digital transformation of banking services.

목차

I. Introduction

II. Literature Review

III. Methods

IV. Result and Discussion

V. Conclusion

VI. Implication of the Study

VII. Limitation and Recommendations for the Future Research

References

키워드

Banking Literation Financial Determinants Indirect Effects Bayesian Approach Path Analysis