Home Mortgage Lending and Neighborhood Mental Health: A Spatial Econometric Analysis of 18 U.S. Metropolitan Statistical Areas.

Abstract

This study investigates the relationship between home mortgages and neighborhood mental health across the 18 largest metropolitan statistical areas (MSAs) in the United States. Home mortgages, a primary avenue to homeownership, contribute to housing security and stability. Moreover, their issuance reflects local investment and potential improvements in the built environment, hypothesized to positively influence community mental well-being. Using census tract-level data from multiple sources, we employed a spatial econometric approach, specifically spatial error modeling, to account for spatial dependency and estimate the association between home mortgage lending (2011 to 2020) and the prevalence of self-reported poor mental health in 2020. Our findings indicate a statistically significant negative association between mortgage issuance and self-reported poor mental health across all 18 MSAs, suggesting that increased mortgage lending is associated with improved neighborhood mental health. Comparisons between standard linear models and spatial error models highlight the influence of unmeasured, spatially correlated factors on neighborhood mental health outcomes. This study underscores mortgage lending as a crucial factor in community well-being and emphasizes the necessity of addressing spatial dependency in neighborhood health studies for accurate estimations. The findings offer valuable insights for researchers and policymakers aiming to enhance community mental health and address health disparities through informed housing policies.