| Title |
Explaining the Gender Wealth Gap
|
|---|---|
| Published in |
Demography, December 2012
|
| DOI | 10.1007/s13524-012-0182-0 |
| Pubmed ID | |
| Authors |
Erin Ruel, Robert M. Hauser |
| Abstract |
To assess and explain the United States' gender wealth gap, we use the Wisconsin Longitudinal Study to examine wealth accumulated by a single cohort over 50 years by gender, by marital status, and limited to the respondents who are their family's best financial reporters. We find large gender wealth gaps between currently married men and women, and between never-married men and women. The never-married accumulate less wealth than the currently married, and there is a marital disruption cost to wealth accumulation. The status-attainment model shows the most power in explaining gender wealth gaps between these groups explaining about one-third to one-half of the gap, followed by the human-capital explanation. In other words, a lifetime of lower earnings for women translates into greatly reduced wealth accumulation. After controlling for the full model, we find that a gender wealth gap remains between married men and women that we speculate may be related to gender differences in investment strategies and selection effects. |
X Demographics
The data shown below were collected from the profiles of 6 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 | 1 | 17% |
| Unknown | 5 | 83% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 67% |
| Scientists | 2 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 126 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 2% |
| United Kingdom | 1 | <1% |
| Germany | 1 | <1% |
| Unknown | 121 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 26 | 21% |
| Student > Bachelor | 18 | 14% |
| Researcher | 14 | 11% |
| Student > Doctoral Student | 11 | 9% |
| Student > Master | 10 | 8% |
| Other | 20 | 16% |
| Unknown | 27 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 42 | 33% |
| Economics, Econometrics and Finance | 17 | 13% |
| Business, Management and Accounting | 7 | 6% |
| Psychology | 7 | 6% |
| Agricultural and Biological Sciences | 3 | 2% |
| Other | 20 | 16% |
| Unknown | 30 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 22. 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 31 May 2023.
All research outputs
#1,715,611
of 25,502,817 outputs
Outputs from Demography
#459
of 2,002 outputs
Outputs of similar age
#15,183
of 289,286 outputs
Outputs of similar age from Demography
#3
of 24 outputs
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