Income Segregation: Up or Down, and for Whom?
Reports of rising income segregation in the United States have been brought into question by the observation that post-2000 estimates are upwardly biased because of a reduction in the sample sizes on which they are based. Recent studies have offered estimates of this sample-count bias using public d...
| Published in: | Demography (Springer Nature) Vol. 57; no. 5; pp. 1951 - 1975 |
|---|---|
| Main Authors: | , , , |
| Format: | Article |
| Published: |
Springer Nature
Oct2020
|
| Subjects: | |
| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=146601054&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 146601054 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00703370 DEM jtl: Demography (Springer Nature) issn: 00703370 maglogo: N pubinfo: dt: Oct2020 vid: 57 iid: 5 pid: 237 pub: Springer Nature artinfo: ui: 146601054 10.1007/s13524-020-00917-0 ppf: 1951 ppct: 24 formats: fmt: – @attributes: type: T – @attributes: type: P size: 504KB tig: atl: Income Segregation: Up or Down, and for Whom? aug: au: Logan, John R. Foster, Andrew Xu, Hongwei Zhang, Wenquan affil: Department of Sociology, Brown University, Box 1916, 02912, Providence, RI, USA Department of Economics, Brown University, 02912, Providence, RI, USA Department of Sociology, Queens College, CUNY, 11367-1597, Queens, NY, USA Department of Sociology, University of Wisconsin–Whitewater, 53190-1790, Whitewater, WI, USA su: United States Segregation Income inequality Income Ethnicity sug: subj: Segregation Income inequality Income Ethnicity United States keyword: Income segregation Measurement bias Neighborhoods Sampling bias Income segregation Measurement bias Neighborhoods Sampling bias ab: Reports of rising income segregation in the United States have been brought into question by the observation that post-2000 estimates are upwardly biased because of 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 income segregation was not generally higher among Blacks and Hispanics than among White families, and evidence of income segregation trends for these separate groups is mixed. Income segregation increased for all three racial groups for families with children, particularly for Hispanics (but not Whites or Blacks) in the upper 10% of the income distribution. 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. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
|---|