Evaluating the fairness of credit scoring models: A literature review on mortgage accessibility for under-reserved populations

Taiwo Inumidun Adegoke, Onyeka Chrisanctus Ofodile, Nneka Adaobi Ochuba, Olatunji Akinrinola
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Abstract

This literature review critically evaluates the fairness of credit scoring models concerning mortgage accessibility for under-reserved populations. The review scrutinizes a diverse range of scholarly articles, reports, and empirical studies spanning various disciplines, including finance, economics, sociology, and public policy. It examines the methodologies, findings, and limitations of existing research to illuminate the multifaceted dimensions of credit scoring fairness and its implications for mortgage accessibility. Firstly, the review outlines the conceptual framework of credit scoring fairness, emphasizing the importance of equality, transparency, and accountability in credit assessment processes. It explores the evolution of credit scoring models and their impact on mortgage lending practices, particularly for historically marginalized communities such as racial minorities, low-income households, and individuals with limited credit histories. Secondly, the review analyzes the methodologies employed in evaluating the fairness of credit scoring models. It identifies key metrics and statistical techniques used to assess disparities in mortgage approval rates, interest rates, and loan terms across demographic groups. Thirdly, the review synthesizes empirical evidence on the extent and persistence of disparities in mortgage accessibility for under-reserved populations. It highlights systemic barriers, including discriminatory lending practices, redlining, and institutionalized biases embedded within credit scoring models. Fourthly, the review discusses the implications of credit scoring fairness for financial inclusion, social equity, and economic mobility. It underscores the need for innovative policy interventions, industry best practices, and consumer education initiatives to address systemic inequities in mortgage lending and promote inclusive homeownership opportunities for under-reserved, Finally, this literature review offers a comprehensive overview of the fairness of credit scoring models in the context of mortgage accessibility for under-reserved populations. By synthesizing empirical evidence, theoretical frameworks, and policy implications, it contributes to a deeper understanding of the challenges and opportunities in promoting equitable access to homeownership and financial security for all.
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评估信用评分模型的公平性:关于贫困人口抵押贷款可获得性的文献综述
本文献综述批判性地评估了信用评分模型的公平性,这些模型涉及未得到充分保障的人群的抵押贷款可获得性。综述仔细研究了各种学术文章、报告和实证研究,涉及金融学、经济学、社会学和公共政策等多个学科。综述探讨了现有研究的方法、结论和局限性,以揭示信用评分公平性的多面性及其对抵押贷款可获得性的影响。首先,综述概述了信用评分公平性的概念框架,强调了信用评估过程中平等、透明和问责的重要性。它探讨了信用评分模型的演变及其对抵押贷款实践的影响,特别是对历史上被边缘化的群体,如少数民族、低收入家庭和信用记录有限的个人的影响。其次,审查分析了评估信用评分模型公平性所采用的方法。它确定了用于评估不同人口群体在抵押贷款批准率、利率和贷款条件方面差异的关键指标和统计技术。第三,该研究综述了关于未得到充分保障的人群在抵押贷款可获得性方面的差异程度和持续性的经验证据。它强调了系统性障碍,包括歧视性贷款做法、红线以及信用评分模型中的制度化偏见。第四,审查讨论了信用评分公平性对金融包容性、社会公平和经济流动性的影响。它强调了创新政策干预、行业最佳实践和消费者教育举措的必要性,以解决抵押贷款中的系统性不公平问题,并促进为未得到充分保护的人群提供包容性的购房机会。 最后,本文献综述全面概述了在未得到充分保护的人群获得抵押贷款的背景下信用评分模型的公平性。通过综合实证证据、理论框架和政策影响,本文献综述有助于加深对促进所有人公平获得住房所有权和金融安全的挑战和机遇的理解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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