| Title |
Household Crowding During Childhood and Long-Term Education Outcomes
|
|---|---|
| Published in |
Demography, April 2016
|
| DOI | 10.1007/s13524-016-0467-9 |
| Pubmed ID | |
| Authors |
Leonard M. Lopoo, Andrew S. London |
| Abstract |
Household crowding, or having more household members than rooms in one's residence, could potentially affect a child's educational attainment directly through a number of mechanisms. We use U.S. longitudinal data from the Panel Study of Income Dynamics to derive new measures of childhood crowding and estimate negative associations between crowding during one's high school years and, respectively, high school graduation by age 19 and maximum education at age 25. These negative relationships persist in multivariate models in which we control for the influence of a variety of factors, including socioeconomic status and housing-cost burden. Given the importance of educational attainment for a range of midlife and later-life outcomes, this study suggests that household crowding during one's high school years is an engine of cumulative inequality over the life course. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 2 | 40% |
| United States | 2 | 40% |
| Unknown | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Practitioners (doctors, other healthcare professionals) | 1 | 20% |
| Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 62 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 13 | 21% |
| Student > Ph. D. Student | 11 | 18% |
| Researcher | 6 | 10% |
| Unspecified | 3 | 5% |
| Lecturer | 3 | 5% |
| Other | 14 | 23% |
| Unknown | 12 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 20 | 32% |
| Economics, Econometrics and Finance | 7 | 11% |
| Medicine and Dentistry | 4 | 6% |
| Unspecified | 3 | 5% |
| Psychology | 3 | 5% |
| Other | 9 | 15% |
| Unknown | 16 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 139. 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 19 October 2022.
All research outputs
#263,816
of 23,555,482 outputs
Outputs from Demography
#65
of 1,886 outputs
Outputs of similar age
#5,244
of 301,159 outputs
Outputs of similar age from Demography
#2
of 14 outputs
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We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.