职业类别的人口统计学群体代表性:EEO-1数据的纵向研究

Q2 Arts and Humanities Labor Studies Journal Pub Date : 2020-12-01 DOI:10.1177/0160449X19857235
Tesa Rigel Hines
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引用次数: 0

摘要

采用多元回归和EEO-1数据分析了大中型私营部门雇主的人口群体代表性。在21年(1996-2016)的时间里,这些数据显示,白人女性和非白人女性在官方和管理职位上的代表性不足,尽管这种情况正在增加。在专业职位上,非白人男性的比例也不足,而且还在增加。非白人员工的比例过高,而且在其他职业类别中的比例也在增加。失业率、民主党总统和歧视指控是具有模型意义的控制变量。在整个员工队伍中,我们正在朝着更加多元化的方向取得进展,但仍存在重大问题,尤其是对非白人员工而言。
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Demographic Group Representation in Occupational Categories: A Longitudinal Study of EEO-1 Data
Demographic group representation in medium and large private-sector employers was analyzed using multiple regression and EEO-1 data. Across 21 years (1996-2016), these data show an underrepresentation of white women and nonwhites in official and managerial positions, though this is increasing. Nonwhite men are also underrepresented in professional positions, and increasing. Nonwhite employees are overrepresented and increasing representation across other occupational categories. Unemployment rates, a Democratic president, and charges of discrimination are among the control variables with model significance. Across the workforce, we are making progress toward more diversity, but significant issues remain, especially for nonwhite employees.
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来源期刊
Labor Studies Journal
Labor Studies Journal Social Sciences-Sociology and Political Science
CiteScore
1.50
自引率
0.00%
发文量
26
期刊介绍: The Labor Studies Journal is the official journal of the United Association for Labor Education and is a multi-disciplinary journal publishing research on work, workers, labor organizations, and labor studies and worker education in the US and internationally. The Journal is interested in manuscripts using a diversity of research methods, both qualitative and quantitative, directed at a general audience including union, university, and community based labor educators, labor activists and scholars from across the social sciences and humanities. As a multi-disciplinary journal, manuscripts should be directed at a general audience, and care should be taken to make methods, especially highly quantitative ones, accessible to a general reader.
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