Structural and Individual Correlates of Home Ownership in the United States
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Parker McCoog
Parker McCoog is a freshman prospective Computer Science and Mathematics double major at Wesleyan University where he is completing research for the Center for the Study of Guns & Society and the Privacy Tech Lab.
Abstract: Structural factors and individual factors of home ownership have been studied independently, but there is limited work directly comparing structural and individual correlates within a single model. This study looks at respondents from the 2024 General Social Survey who either rent or own the home they live in. The logistic regression model found that all work related variables (hours worked, weeks worked, TV hours, and perceived value of work ethic) did not have a significant relationship with home ownership (p > 0.05). Within the model, parental home ownership (OR = 2.3, p < 0.001) and race (OR = 1.6, p < 0.001) had a greater impact on home ownership than the only still significant individual factor of education (OR = 1.3, p = .023). Overall, the model found that demographic factors had a more significant impact on home ownership than individual factors. Policymakers could use this information to better target housing assistance programs toward structurally disadvantaged groups rather than assuming effort-based pathways are equally available.
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