RDC Webinar: Micro-Level Determinants of White-Black Segregation (3-31)

Amber Crowell (Sociology, CSU Fresno) will present her research titled “The Micro-Level Determinants of White-Black Segregation: Beyond Spatial Assimilation and Place Stratification.” Her presentation will be on March 31st at 1:00 ET.

Abstract: In this study we undertake a quantitative analysis of the locational attainments of Black households in metropolitan areas of the United States using restricted-use microdata and new methods for segregation analysis. Using a superior reformulation of the separation index, a well-known measure of residential segregation, we disaggregate the index into individual locational outcomes and analyze the household-level characteristics that affect Black locational attainments and directly predict overall White-Black segregation in 25 of the largest metropolitan areas. The advantage of disaggregating the separation index is that we can not only micromodel segregation, but we can also perform regression standardization and decomposition analysis to test prevailing theoretical arguments on the microlevel determinants of segregation. We find that while some factors, such as education and income, affect Black locational attainments in ways that align with the spatial assimilation hypothesis, race group membership is a major primary contributor to overall levels of White-Black segregation, which lends support to the place stratification framework. Additionally, we find that contrary to traditional assimilation theory, U.S.-born Black householders experience more segregation from White householders than foreign-born Black householders. We argue that this finding could potentially be understood through segmented assimilation theory, which posits that there are multiple assimilation trajectories in a racially stratified society. For Black households, spatial assimilation can mean increased residential separation from White households.

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Webinar link:

https://uscensus.webex.com/uscensus/onstage/g.php?MTID=ef6d2c40cd3604e4a2a008d021d95ea72

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Event number:  199 061 5244

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