Historical Bias in Mortgage Lending, Redlining, and Implications for the Uncertain Geographic Context Problem: A Study of Structural Housing Discrimination in Dallas and Boston.

According to the uncertain geographic context problem, a lack of temporal information can hinder measures of bias in mortgage lending. This study extends previous methods to: (1) measure the persistence of racial bias in mortgage lending for Black Americans by adding temporal trends and credit score...

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Publicado en:Journal of Urban Health Vol. 101; no. 5; pp. 1037 - 1045
Autores principales: Beauchamp, Alaina M., Tiro, Jasmin A., Haas, Jennifer S., Kobrin, Sarah C., Alegria, Margarita, Hughes, Amy E.
Formato: Artículo
Publicado: Springer Nature Oct2024
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Acceso en línea:Ver este registro en EBSCOhost
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      pub: Springer Nature
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        10.1007/s11524-024-00887-3
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        atl: Historical Bias in Mortgage Lending, Redlining, and Implications for the Uncertain Geographic Context Problem: A Study of Structural Housing Discrimination in Dallas and Boston.
      aug:
        au:
          Beauchamp, Alaina M.
          Tiro, Jasmin A.
          Haas, Jennifer S.
          Kobrin, Sarah C.
          Alegria, Margarita
          Hughes, Amy E.
        affil:
          https://ror.org/05byvp690 Peter O'Donnell Jr. School of Public Health, University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd., 75390-9066, Dallas, TX, USA
          https://ror.org/024mw5h28 Department of Public Health Sciences, University of Chicago Biological Sciences Division, Chicago, IL, USA
          https://ror.org/002pd6e78 Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA, USA
          https://ror.org/040gcmg81 Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, USA
          https://ror.org/002pd6e78 Department of Medicine and Psychiatry, Massachusetts General Hospital, Boston, MA, USA
          https://ror.org/03cbz4r60 Harold C Simmons Comprehensive Cancer Center, Dallas, TX, USA
      su:
        Standard metropolitan statistical areas
        Housing discrimination
        Racism
        Mortgage loans
        Credit ratings
      sug:
        subj:
          Standard metropolitan statistical areas
          Housing discrimination
          Racism
          Credit Bureaus
          Real Estate Credit
          Mortgage loans
          Credit ratings
      ab: According to the uncertain geographic context problem, a lack of temporal information can hinder measures of bias in mortgage lending. This study extends previous methods to: (1) measure the persistence of racial bias in mortgage lending for Black Americans by adding temporal trends and credit scores, and (2) evaluate the continuity of bias in discriminatory areas from 1990 to 2020. These additions create an indicator of persistent structural housing discrimination. We studied the Boston-Cambridge-Newton and Dallas-Fort Worth metropolitan statistical areas to examine distinct historical trajectories and urban development. We estimated the odds of mortgage denial for census tracts. Overall, all tracts in Boston-Cambridge-Newton (N = 1003) and Dallas-Fort Worth (N = 1312) displayed significant change, with greater odds of bias over time in Dallas-Fort Worth and lower odds in Boston-Cambridge-Newton. Historically redlined areas displayed the strongest persistence of bias. Results suggest that temporal data can identify persistence and improve sensitivity in measuring neighborhood bias. Understanding the temporality of residential exposure can increase research rigor and inform policy to reduce the health effects of racial bias.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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