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The effect of the sex composition of jobs on starting wages in an organization: Findings from the NLSY

Overview of attention for article published in Demography, November 1996
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3 Wikipedia pages

Citations

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28 Mendeley
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Title
The effect of the sex composition of jobs on starting wages in an organization: Findings from the NLSY
Published in
Demography, November 1996
DOI 10.2307/2061784
Pubmed ID
Authors

Paula England, Lori L. Reid, Barbara Stanek Kilbourne

Abstract

We show that individuals in a job with a higher percentage of females earn lower starting wages with an employing organization. This holds true with controls for individuals' human capital, job demands for skill or difficult working conditions, and detailed industry. We use a measure of sex composition that applies to detailed jobs: cells in a three-digit census occupation by three-digit census industry matrix. We use pooled panel data from the 1979-1987 waves of the National Longitudinal Survey of Youth. The unit of analysis is the spell-the time in which a person worked for one organization. The dependent variable is the first wage in the spell. We use models with fixed-effects to control for unmeasured, unchanging individual characteristics; we also show results from OLS and weighted models for comparison. The negative effect on wages of the percentage female in one's job is robust across procedures for black women, white women, and white men. For black men the sign is always negative but the coefficient is often nonsignificant.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 4%
Finland 1 4%
Unknown 26 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 43%
Student > Doctoral Student 2 7%
Researcher 2 7%
Professor > Associate Professor 2 7%
Student > Master 2 7%
Other 4 14%
Unknown 4 14%
Readers by discipline Count As %
Social Sciences 16 57%
Psychology 3 11%
Economics, Econometrics and Finance 2 7%
Business, Management and Accounting 2 7%
Medicine and Dentistry 1 4%
Other 0 0%
Unknown 4 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 11 March 2020.
All research outputs
#8,517,130
of 25,391,066 outputs
Outputs from Demography
#1,407
of 2,041 outputs
Outputs of similar age
#8,811
of 28,170 outputs
Outputs of similar age from Demography
#4
of 9 outputs
Altmetric has tracked 25,391,066 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,041 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.9. This one is in the 9th percentile – i.e., 9% of its peers scored the same or lower than it.
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 28,170 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 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.