Home Mortgage Lending by Race and Income in the Time of Low Interest Rates: Examples from Select Counties in Kentucky, Ohio, and Pennsylvania from 2018 through 2021

Author:

Klesta Matthew1ORCID

Affiliation:

1. Federal Reserve Bank of Cleveland

Abstract

Signed into law in 1975 by President Ford, the Home Mortgage Disclosure Act (HMDA) requires most financial institutions to disclose information on their mortgage lending. Annually, this information creates a publicly accessible data set that includes millions of records and covers about 90 percent of mortgage lending in the United States (Gerardi, Willen, and Zhang, 2020). More information on HMDA can be found in the summary "What is HMDA and why is it important?" Several years ago, the Cleveland Fed examined data for seven large urban counties in the Fourth District. At that time, we looked at how these counties performed post-Great Recession. In this report, we revisit those seven counties and examine how they performed during the COVID-19 pandemic and in an environment of record-low interest rates. This report is an analysis of HMDA data from 2018 through 2021 in seven counties: Allegheny, Pennsylvania (Pittsburgh); Cuyahoga, Ohio (Cleveland); Fayette, Kentucky (Lexington); Franklin, Ohio (Columbus); Hamilton, Ohio (Cincinnati); Lucas, Ohio (Toledo); and Montgomery, Ohio (Dayton). It focuses on several aspects of mortgage lending categorized by borrower race and income.

Publisher

Federal Reserve Bank of Cleveland

Reference17 articles.

1. 1. Agarwal, Sumit, Souphala Chomsisengphet, Hua Kiefer, Leonard C. Kiefer, and Paolina C. Medina. 2021. "Refinancing Inequality during the COVID-19 Pandemic." Working paper 2021-08. FDIC Center for Financial Research. https://doi.org/10.2139/ssrn.3976961.

2. 2. Agarwal, Sumit, Richard J. Rosen, and Vincent Yao. 2016. "Why Do Borrowers Make Mortgage Refinancing Mistakes?" Management Science 62 (12): 3494-3509. https://doi.org/10.1287/mnsc.2015.2272.

3. 3. Bhutta, Neil, Aurel Hizmo, and Daniel Ringo. 2022. "How Much Does Racial Bias Affect Mortgage Lending? Evidence from Human and Algorithmic Credit Decisions." FEDS working paper 2022-067. Board of Governors of the Federal Reserve System. https://doi.org/10.17016/FEDS.2022.067.

4. 4. Choi, Jung Hyun, and Amalie Zinn. 2022. "New Data Show Black and Latino Homeownership Rates Increased during the Pandemic." Urban Institute. Urban Wire (blog). October 7, 2022. https://www.urban.org/urban-wire/new-data-show-black-and-latino-homeownership-rates-increased-during-pandemic.

5. 5. Freddie Mac. 2022. "30-Year Fixed Rate Mortgage Average in the United States." FRED, Federal Reserve Bank of St. Louis. FRED, Federal Reserve Bank of St. Louis. 2022. https://fred.stlouisfed.org/series/MORTGAGE30US.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3