| Title |
Growing Wealth Gaps in Education
|
|---|---|
| Published in |
Demography, March 2018
|
| DOI | 10.1007/s13524-018-0666-7 |
| Pubmed ID | |
| Authors |
Fabian T Pfeffer |
| Abstract |
Prior research on trends in educational inequality has focused chiefly on changing gaps in educational attainment by family income or parental occupation. In contrast, this contribution provides the first assessment of trends in educational attainment by family wealth and suggests that we should be at least as concerned about growing wealth gaps in education. Despite overall growth in educational attainment and some signs of decreasing wealth gaps in high school attainment and college access, I find a large and rapidly increasing wealth gap in college attainment between cohorts born in the 1970s and 1980s, respectively. This growing wealth gap in higher educational attainment co-occurred with a rise in inequality in children's wealth backgrounds, although the analyses also suggest that the latter does not fully account for the former. Nevertheless, the results reported here raise concerns about the distribution of educational opportunity among today's children who grow up in a context of particularly extreme wealth inequality. |
X Demographics
The data shown below were collected from the profiles of 38 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 | 11 | 29% |
| Mexico | 3 | 8% |
| Peru | 2 | 5% |
| United Kingdom | 2 | 5% |
| Spain | 1 | 3% |
| Denmark | 1 | 3% |
| Guatemala | 1 | 3% |
| Unknown | 17 | 45% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 30 | 79% |
| Scientists | 6 | 16% |
| Practitioners (doctors, other healthcare professionals) | 2 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 189 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | <1% |
| Unknown | 188 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 34 | 18% |
| Student > Bachelor | 22 | 12% |
| Student > Master | 18 | 10% |
| Student > Doctoral Student | 18 | 10% |
| Researcher | 14 | 7% |
| Other | 29 | 15% |
| Unknown | 54 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 57 | 30% |
| Economics, Econometrics and Finance | 21 | 11% |
| Arts and Humanities | 10 | 5% |
| Psychology | 8 | 4% |
| Computer Science | 6 | 3% |
| Other | 26 | 14% |
| Unknown | 61 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 110. 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 January 2024.
All research outputs
#388,142
of 25,769,258 outputs
Outputs from Demography
#99
of 2,022 outputs
Outputs of similar age
#8,742
of 346,560 outputs
Outputs of similar age from Demography
#4
of 26 outputs
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