Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Social Science Resea...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Social Science Research
Article . 2007 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
versions View all 1 versions
addClaim

Does bad pay cause occupations to feminize, Does feminization reduce pay, and How can we tell with longitudinal data?

Authors: England, Paula; Allison, Paul; Wu, Yuxiao;

Does bad pay cause occupations to feminize, Does feminization reduce pay, and How can we tell with longitudinal data?

Abstract

Abstract Predominantly female occupations pay less than “male” occupations, even after adjusting for skill demands. The devaluation perspective says that this is because gender bias influences employers’ decisions about the relative pay of occupations. The longitudinal implication of the devaluation perspective is that when occupations feminize, their relative pay should go down. In the queueing or relative-attractiveness view, occupations’ reward levels affect their sex composition, with less attractive occupations going to women because employers prefer men and can get them in occupations that pay well. To test these views about change over time, we use a fixed-effects model with lagged independent variables and data from the 1983–2001 Current Population Surveys. There is only slight evidence that the feminization of occupations lowers their wages, and no evidence that a fall in occupations’ relative wages leads to feminization. But percent female is associated with lower wages in every year. We speculate that in the early history of new occupations and organizations, there was a causal relationship between gender composition and wages, and it has been frozen in by institutional inertia in relative wage structures.

Country
China (People's Republic of)
Related Organizations
Keywords

Gender inequality, Earnings, Discrimination, Gender, Longitudinal analysis, Occupations, 331

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    145
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
145
Top 1%
Top 10%
Top 10%
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!