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Structural racism and individual discrimination contribute to racial inequalities in poor housing conditions in the United States. Less is known about whether and how structural racism and individual discrimination shape a parallel, but distinct, process that is also consequential for family wellbeing: experiencing housing unit maintenance delays. Maintenance delays transform acute problems into chronic stressors and increase exposure to physical hazards over time. Using the 2013 American Housing Survey, I examine racial/ethnic disparities in maintenance delays across non-Hispanic White, Black, Hispanic, Asian, and American Indian/Alaska Native renters. Given that 2.3 million low-income households rent using Housing Choice Vouchers (HCVs), a federal housing assistance program with requirements around repair timing, I also examine how renting with a voucher shapes maintenance delays. There are three principal findings. First, White renters are more likely to report timely repairs than either Black or Hispanic renters. Second, for Black renters, both structural racism experienced in rental markets and individual discrimination drive this disparity, whereas Hispanic renters’ diverging maintenance experiences are largely explained by pathways impacted by structural racism. Third, renting with an HCV is not associated with repair timeliness for any racial/ethnic group. Taken together, the findings suggest that racial/ethnic disparities in substandard housing emerge not only through unequal exposure to housing quality problems but also through unequal responses to these issues.
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NIH peer review: Criterion scores completely account for racial disparities in overall impact scores
Previous research has found that funding disparities are driven by applications’ final impact scores and that only a portion of the black/white funding gap can be explained by bibliometrics and topic choice. Using National Institutes of Health R01 applications for council years 2014–2016, we examine assigned reviewers’ preliminary overall impact and criterion scores to evaluate whether racial disparities in impact scores can be explained by application and applicant characteristics. We hypothesize that differences in commensuration—the process of combining criterion scores into overall impact scores—disadvantage black applicants. Using multilevel models and matching on key variables including career stage, gender, and area of science, we find little evidence for racial disparities emerging in the process of combining preliminary criterion scores into preliminary overall impact scores. Instead, preliminary criterion scores fully account for racial disparities—yet do not explain all of the variability—in preliminary overall impact scores.
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- Award ID(s):
- 1759825
- PAR ID:
- 10254035
- Date Published:
- Journal Name:
- Science Advances
- Volume:
- 6
- Issue:
- 23
- ISSN:
- 2375-2548
- Page Range / eLocation ID:
- eaaz4868
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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- Free Publicly Accessible Full Text
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Accepted Manuscript1.0
- Journal Article:
- https://doi.org/10.1126/sciadv.aaz4868
