• Medientyp: E-Book
  • Titel: Income Segregation : Up or Down, and for Whom?
  • Beteiligte: Logan, John R. [VerfasserIn]; Foster, Andrew [Sonstige Person, Familie und Körperschaft]; Xu, Hongwei [Sonstige Person, Familie und Körperschaft]; Zhang, Wenquan [Sonstige Person, Familie und Körperschaft]
  • Körperschaft: National Bureau of Economic Research
  • Erschienen: Cambridge, Mass: National Bureau of Economic Research, 2020
  • Erschienen in: NBER working paper series ; no. w27045
  • Umfang: 1 Online-Ressource; illustrations (black and white)
  • Sprache: Englisch
  • DOI: 10.3386/w27045
  • Identifikator:
  • Reproduktionsnotiz: Hardcopy version available to institutional subscribers
  • Entstehung:
  • Anmerkungen: System requirements: Adobe [Acrobat] Reader required for PDF files
    Mode of access: World Wide Web
  • Beschreibung: Reports of rising income segregation have been brought into question by the observation that post-2000 estimates are upwardly biased due to a reduction in the sample sizes on which they are based. Recent studies have offered estimates of this "sample-count" bias using public data. We show here that there are two substantial sources of systematic bias in estimating segregation levels: bias associated with sample size and bias associated with using weighted sample data. We rely on new correction methods using the original census sample data for individual households to provide more accurate estimates. Family income segregation rose markedly in the 1980s but only selectively after 1990. For some categories of families, segregation declined after 1990. There has been an upward trend for families with children, but not specifically for families with children in the upper or lower 10% of the income distribution. Separate analyses by race/ethnicity show that segregation was not generally higher among blacks and Hispanics than among white families, and evidence of segregation trends for these separate groups is mixed. Trends vary for specific combinations of race/ethnicity, presence of children, and location in the income distribution, offering new challenges for understanding the underlying processes of change
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