| Title |
Gender and the Residential Mobility and Neighborhood Attainment of Black-White Couples
|
|---|---|
| Published in |
Demography, February 2018
|
| DOI | 10.1007/s13524-018-0648-9 |
| Pubmed ID | |
| Authors |
Ryan Gabriel |
| Abstract |
Including black-white couples in the study of residential stratification accentuates gendered power disparities within couples that favor men over women, which allows for the analysis of whether the race of male partners in black-white couples is associated with the racial and ethnic composition of their neighborhoods. I investigate this by combining longitudinal data between 1985 and 2015 from the Panel Study of Income Dynamics linked to neighborhood- and metropolitan-level data compiled from four censuses. Using these data, I assess the mobility of black male-white female and white male-black female couples out of and into neighborhoods defined respectively by their levels of whites, blacks, and ethnoracial diversity. My results show that the race of the male partner in black-white couples tends to align with the racial and ethnic composition of the neighborhoods where these couples reside. This finding highlights that the racial hierarchy within the United States affects the residential mobility and attainment of black-white couples, but its influence is conditioned by the race and gender composition of these couples. |
X Demographics
The data shown below were collected from the profiles of 13 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 7 | 54% |
| Unknown | 6 | 46% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 62% |
| Scientists | 5 | 38% |
Mendeley readers
The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 32 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 28% |
| Researcher | 8 | 25% |
| Student > Master | 3 | 9% |
| Student > Doctoral Student | 2 | 6% |
| Professor | 2 | 6% |
| Other | 5 | 16% |
| Unknown | 3 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 17 | 53% |
| Economics, Econometrics and Finance | 3 | 9% |
| Medicine and Dentistry | 2 | 6% |
| Psychology | 2 | 6% |
| Business, Management and Accounting | 1 | 3% |
| Other | 3 | 9% |
| Unknown | 4 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 30 September 2018.
All research outputs
#4,328,910
of 24,254,113 outputs
Outputs from Demography
#945
of 1,990 outputs
Outputs of similar age
#100,941
of 481,891 outputs
Outputs of similar age from Demography
#16
of 24 outputs
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