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Gender Pay Gap and Employment Sector: Sources of Earnings Disparities in the United States, 1970–2010

Overview of attention for article published in Demography, August 2014
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • Average Attention Score compared to outputs of the same age and source

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1 blog
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5 X users
wikipedia
1 Wikipedia page

Citations

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116 Dimensions

Readers on

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236 Mendeley
Title
Gender Pay Gap and Employment Sector: Sources of Earnings Disparities in the United States, 1970–2010
Published in
Demography, August 2014
DOI 10.1007/s13524-014-0320-y
Pubmed ID
Authors

Hadas Mandel, Moshe Semyonov

Abstract

Using data from the IPUMS-USA, the present research focuses on trends in the gender earnings gap in the United States between 1970 and 2010. The major goal of this article is to understand the sources of the convergence in men's and women's earnings in the public and private sectors as well as the stagnation of this trend in the new millennium. For this purpose, we delineate temporal changes in the role played by major sources of the gap. Several components are identified: the portion of the gap attributed to gender differences in human-capital resources; labor supply; sociodemographic attributes; occupational segregation; and the unexplained portion of the gap. The findings reveal a substantial reduction in the gross gender earnings gap in both sectors of the economy. Most of the decline is attributed to the reduction in the unexplained portion of the gap, implying a significant decline in economic discrimination against women. In contrast to discrimination, the role played by human capital and personal attributes in explaining the gender pay gap is relatively small in both sectors. Differences between the two sectors are not only in the size and pace of the reduction but also in the significance of the two major sources of the gap. Working hours have become the most important factor with respect to gender pay inequality in both sectors, although much more dominantly in the private sector. The declining gender segregation may explain the decreased impact of occupations on the gender pay gap in the private sector. In the public sector, by contrast, gender segregation still accounts for a substantial portion of the gap. The findings are discussed in light of the theoretical literature on sources of gender economic inequality and in light of the recent stagnation of the trend.

X Demographics

X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 236 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 1%
United Kingdom 1 <1%
Canada 1 <1%
Unknown 231 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 41 17%
Student > Ph. D. Student 39 17%
Student > Doctoral Student 20 8%
Student > Bachelor 20 8%
Researcher 18 8%
Other 36 15%
Unknown 62 26%
Readers by discipline Count As %
Social Sciences 69 29%
Business, Management and Accounting 37 16%
Economics, Econometrics and Finance 31 13%
Psychology 8 3%
Nursing and Health Professions 7 3%
Other 23 10%
Unknown 61 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 August 2020.
All research outputs
#1,937,206
of 22,765,347 outputs
Outputs from Demography
#511
of 1,857 outputs
Outputs of similar age
#21,277
of 235,668 outputs
Outputs of similar age from Demography
#11
of 16 outputs
Altmetric has tracked 22,765,347 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,857 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 24.5. This one has gotten more attention than average, scoring higher than 72% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 235,668 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.