金融科技对抵押贷款歧视的影响

D. Shoag
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摘要

抵押贷款市场历来受到种族歧视的困扰,最近的数据显示,传统贷款机构向少数族裔借款人提供的条款仍然存在差异。然而,由于基于技术(FinTech)的贷款机构的兴起,抵押贷款市场在过去十年中发生了迅速变化。在本文中,我表明,在调整GSE信贷风险定价决定因素和贷款规模后,金融科技贷款机构在向黑人和西班牙裔借款人提供的条款方面几乎没有差距。这一事实是通过使用借款人的专有数据来更好地研究种族偏见和金融科技贷款。该论文进一步表明,在对观察上相似的黑人和西班牙裔以及非黑人或西班牙裔借款人的匹配分析中,金融科技贷款机构为这两个群体提供了统计上无法区分的条款。这与传统银行在相同测试中发现的巨大差异形成鲜明对比。这种匹配的分析,其中借款人具有相似的特征,如收入和年龄进行比较,是由全国抵押贷款来源调查的偏好和购物异质性的分析支持。最后,我表明金融科技在一个地区的渗透也对传统贷款人的条款产生了影响。金融科技在邮政编码地区的渗透率越高,即使在传统贷款机构之间,差异也越小。
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The Impact of FinTech on Discrimination in Mortgage Lending
The mortgage market has historically been plagued by racial discrimination, and recent data show ongoing disparities in the terms offered to minority borrowers by traditional lenders. The mortgage market has changed rapidly in the past decade, however, due to the rise of technology-based (FinTech) lenders. In this paper, I show that FinTech lenders show little to no gap in the terms provided to Black and Hispanic borrowers after adjusting for GSE credit-risk pricing determinants and loan size. This fact is shown using proprietary data on borrowers to better study racial bias and FinTech loans. The paper further shows that, in a matched analysis of observationally similar Black and Hispanic and non-Black or Hispanic borrowers, FinTech lenders provide statistically indistinguishable terms to the two groups. This stands in sharp contrast to the large discrepancies found under identical tests for traditional lenders. This matched analysis, wherein borrowers with similar characteristics such as income and age are compared, is supported by an analysis of preference and shopping heterogeneity in the National Survey of Mortgage Originations. Finally, I show that FinTech penetration in a region had consequences on legacy lender terms as well. Greater FinTech penetration in a zip code is associated with smaller discrepancies even among legacy lenders.
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