Increasing Access, Equitability, and Rigor in the Assessment of Neighborhood Mortgage Discrimination.
Autor: | Moubadder L; Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA. leah.m.moubadder@emory.edu., Bliss M; Department of Environmental Health Sciences, Rollins School of Public Health, Emory University, Atlanta, GA, USA., Maliniak ML; Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA., Waddel H; Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, GA, USA., Switchenko JM; Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, GA, USA.; Department of Biostatistics and Bioinformatics, Winship Cancer Institute of Emory University, Atlanta, GA, USA., Chang HH; Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, GA, USA., Kramer MR; Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA., McCullough LE; Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA. |
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Jazyk: | angličtina |
Zdroj: | Journal of urban health : bulletin of the New York Academy of Medicine [J Urban Health] 2024 Dec; Vol. 101 (6), pp. 1274-1278. Date of Electronic Publication: 2024 Nov 27. |
DOI: | 10.1007/s11524-024-00941-0 |
Abstrakt: | Mortgage discrimination alters the distribution of investment, opportunity, and economic advantage-key contributors of health disparities. Leveraging Home Mortgage Disclosure Act data, we assessed mortgage denial risk in 380 U.S. urban areas. We estimated the risks by census tract-relative to the urban-specific average-using a Bayesian spatial model with conditionally autoregressive distributions fitted with integrated nested Laplace approximation. This approach borrows information through spatial and non-spatial smoothing, resulting in stable estimates in the presence of sparse data. The method, publicly accessible, allows researchers to apply our approach, fostering deeper insights into mortgage lending discrimination and systematic neighborhood disinvestment. (© 2024. The New York Academy of Medicine.) |
Databáze: | MEDLINE |
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