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Disentangling the Effects of Racial Self-identification and Classification by Others

The Case of Arrest

Bibliographic Data

ID8097942
AuthorsAndrew M Penner (0000-0002-9483-8933, Department of Sociology, University of California, Irvine, 4181 Social Science Plaza A, Irvine, CA 92697, USA, corresponding author), Aliya Saperstein (0000-0002-6429-1172, Stanford University)
Year2015
Volume52
Issue3
Pages1017-1024
Publication date2015-05-26
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueDemography (JOURNAL)
Journal identifiersISSN: 0070-3370 • E-ISSN: 1533-7790
PublisherSpringer Science+Business Media (PUBLISHER • DE)
DOI10.1007/s13524-015-0394-1
PMID26012845
OpenAlexW417212831
LanguageEN
Citations received23
References cited17

Scholars of race have stressed the importance of thinking about race as a multidimensional construct, yet research on racial inequality does not routinely take this multidimensionality into account. We draw on data from the U.S. National Longitudinal Study of Adolescent Health to disentangle the effects of self-identifying as black and being classified by others as black on subsequently being arrested. Results reveal that the odds of arrest are nearly three times higher for people who were classified by others as black, even if they did not identify themselves as black. By contrast, we find no effect of self-identifying as black among people who were not seen by others as black. These results suggest that racial perceptions play an important role in racial disparities in arrest rates and provide a useful analytical approach for disentangling the effects of race on other outcomes

Construct (python library · Ethnic group · Identification (biology · Logistic regression · Odds · Perception · Race (biology · Racial differences · Sociology · Computer Science · Demography · Gender Studies · Medicine · Migration, Health and Trauma · Psychology · Racial and Ethnic Identity Research · Social and Intergroup Psychology · Social Psychology

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Unique citing works23
Citations per year2,3
Citation span2016 - 2026 (11)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 23

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