| Title |
Explaining the Motherhood Wage Penalty During the Early Occupational Career
|
|---|---|
| Published in |
Demography, October 2011
|
| DOI | 10.1007/s13524-011-0068-6 |
| Pubmed ID | |
| Authors |
Jeremy Staff, Jeylan T. Mortimer |
| Abstract |
Prior research shows that mothers earn lower hourly wages than women without children, and that this maternal wage penalty cannot be fully explained by differences between mothers and other women in work experience and job characteristics. This research examines whether the residual motherhood wage penalty results from differences between mothers and other women in the accumulation of work interruptions and breaks in schooling. Using longitudinal data for 486 women followed from ages 19 to 31 in the Minnesota Youth Development Study, we find that accumulated months not in the labor force and not enrolled in school explain the residual pay gap between mothers and other women. |
X Demographics
The data shown below were collected from the profiles of 4 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 | 25% |
| Indonesia | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 150% |
Mendeley readers
The data shown below were compiled from readership statistics for 136 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 3% |
| South Africa | 1 | <1% |
| Italy | 1 | <1% |
| United Kingdom | 1 | <1% |
| Finland | 1 | <1% |
| Unknown | 128 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 35 | 26% |
| Student > Master | 20 | 15% |
| Researcher | 14 | 10% |
| Student > Doctoral Student | 10 | 7% |
| Student > Bachelor | 7 | 5% |
| Other | 19 | 14% |
| Unknown | 31 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 60 | 44% |
| Economics, Econometrics and Finance | 14 | 10% |
| Business, Management and Accounting | 10 | 7% |
| Psychology | 9 | 7% |
| Arts and Humanities | 4 | 3% |
| Other | 4 | 3% |
| Unknown | 35 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 71. 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 24 September 2023.
All research outputs
#596,558
of 25,271,884 outputs
Outputs from Demography
#160
of 2,039 outputs
Outputs of similar age
#2,209
of 146,169 outputs
Outputs of similar age from Demography
#2
of 7 outputs
Altmetric has tracked 25,271,884 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,039 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.7. This one has done particularly well, scoring higher than 92% of its peers.
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We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.