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THE RACIAL BOUNDARIES OF INEQUALITY

How Racial Hierarchies and White Identity Shape Whites’ Explanations for Racial Inequality

Published online by Cambridge University Press:  16 May 2019

Kiara W. Douds*
Affiliation:
Department of Sociology, New York University
Heather A. O’Connell
Affiliation:
Department of Sociology, Louisiana State University
Jenifer L. Bratter
Affiliation:
Department of Sociology, Rice University
*
*Corresponding author: Kiara Douds, Department of Sociology, New York University, 295 Lafayette Street, 4th Floor New York, NY 10012. E-mail: [email protected]

Abstract

Many White Americans believe that individual rather than structural factors explain racial inequality, yet there is substantial variation in Whites’ perceptions. Using data from the Portraits of American Life Study, we exploit this variation to provide insight into the processes driving Whites’ perceptions of the causes of racial inequality. Specifically, we assess how social boundaries inform Whites’ explanations for the disadvantage of two racial groups: Blacks and Asians. First, we examine how each group’s position in the racial hierarchy relates to the types of explanations employed by Whites and find that Whites use individual explanations more often for Blacks than Asians. Second, we assess the extent to which the importance given to race in one’s overall identity affects how Whites explain racial disadvantage. Whites who see their Whiteness as being important to their identity are more likely to use individual rather than structural explanations to explain Black disadvantage. Together, these findings provide insight into the social psychological processes that contribute to Whites’ perceptions of racial inequality and suggest increased attention to how perceptions of out-group boundaries shape individual perceptions of inequality. Addressing this dimension of how individuals view inequality will be critical to future efforts to reduce it.

Type
State of the Art
Copyright
Copyright © Hutchins Center for African and African American Research 2019 

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