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Activity Number: 72 - SPEED: Statistical Learning and Data Challenge Part 2
Type: Contributed
Date/Time: Sunday, August 7, 2022 : 4:00 PM to 4:45 PM
Sponsor: Section on Statistical Computing
Abstract #323707
Title: Exploratory Analysis of Racial Representation in American Home Ownership
Author(s): Jhonatan Jorge Medri Cobos* and Tejasvi Channagiri
Companies: University of South Florida and University of South Florida
Keywords: Data Visualization; Home ownership; Racial and ethnic representation; Bayesian Estimation; Spatial Statistics; Hierarchical Linear Model

Racial representation in home ownership is an important public policy topic for addressing inequality within society. Although more than half of households in the US are owned, rather than rented, the representation of home ownership is unequal among different racial groups. Here we analyze the US Census Bureau's American Community Survey data to conduct an exploratory and statistical analysis of home ownership in the US, and find sociodemographic factors that are associated with differences in home ownership rates. We use generalized linear models to model the home ownership rate using different response distributions and estimation strategies, to check the consistency between different methods and gain greater modeling flexibility. We determine that in our models, race has strongest association with the home ownership rate, although the geographic region and other sociodemographic factors have significant associations as well. Though we model state-level data here, we identify several strategies for modeling county-level to obtain more finer-grained estimates in future study

Authors who are presenting talks have a * after their name.

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