Detecting "White Flight" in the Contemporary United States: A Multicomponent Approach

Autor/inn/en	Kye, Samuel H.; Halpern-Manners, Andrew
Titel	Detecting "White Flight" in the Contemporary United States: A Multicomponent Approach
Quelle	In: Sociological Methods & Research, 51 (2022) 1, S.3-33 (31 Seiten) PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Kye, Samuel H.)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0049-1241
DOI	10.1177/0049124119882454
Schlagwörter	Whites; Migration; Population Trends; Neighborhoods; Racial Segregation; Measurement Techniques; Research Problems; New York (New York); California (Los Angeles); Illinois (Chicago) + Suchen Sie Ihr Suchwort? White; Weißer; Bevölkerungsprognose; Neighbourhoods; Nachbarschaft; Rassentrennung; Messtechnik; Forschungskritik
Abstract	Measuring the existence and patterning of white flight (WF) using aggregate data has a long history in the social sciences. In this article, we assess past measurement approaches and identify several technical and conceptual limitations. To address these shortcomings, we propose a new multicomponent approach to detecting WF that requires tracts to exceed a minimum level of loss across four distinct dimensions of population change. Using both simulated and real data, we show that our approach provides stronger protection against common classification errors and behaves more consistently across a broad range of neighborhood types. We conclude with a substantive application that demonstrates the utility of our multicomponent approach to researchers who are interested in assessing the "buffering hypothesis." We find that our multicomponent approach detects higher levels of WF than recognized in previous studies, raising important questions about the formation and long-term stability of racially diverse neighborhoods in the United States. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01