Доступ предоставлен для: Guest
Портал Begell Электронная Бибилиотека e-Книги Журналы Справочники и Сборники статей Коллекции
Journal of Women and Minorities in Science and Engineering
SJR: 0.468 SNIP: 0.671 CiteScore™: 1.65

ISSN Печать: 1072-8325
ISSN Онлайн: 1940-431X

Выпуски:
Том 26, 2020 Том 25, 2019 Том 24, 2018 Том 23, 2017 Том 22, 2016 Том 21, 2015 Том 20, 2014 Том 19, 2013 Том 18, 2012 Том 17, 2011 Том 16, 2010 Том 15, 2009 Том 14, 2008 Том 13, 2007 Том 12, 2006 Том 11, 2005 Том 10, 2004 Том 9, 2003 Том 8, 2002 Том 7, 2001 Том 6, 2000 Том 5, 1999 Том 4, 1998 Том 3, 1997 Том 2, 1995 Том 1, 1994

Journal of Women and Minorities in Science and Engineering

DOI: 10.1615/JWomenMinorScienEng.2019021133
pages 53-74

UNDERESTIMATING THE GENDER GAP? AN EXPLORATORY TWO-STEP CLUSTER ANALYSIS OF STEM LABOR SEGMENTATION AND ITS IMPACT ON WOMEN

Blanca M. Torres Olave
Higher Education, School of Education, Loyola University Chicago, 820 N. Michigan Ave., Rm. 1130, Chicago, IL 60611, USA

Краткое описание

Gender inequality in science and technology fields takes various and complex shapes, from recruitment and retention across educational levels, to job entry and advancement barriers, to pay and compensation. Although the salary gap for women in these fields is well documented, much of the relevant research has relied exclusively on mean earned wages to estimate compensation differentials by gender. This approach may underestimate the actual extent of the gender gap more than if more comprehensive measures of compensation (e.g., wages along with health insurance and retirement benefits) were used. Through a two-step cluster analysis of the 2008–2010 US Census Survey of Income and Program Participation, in this study I considered wages along with access to employer-provided health and pension benefits, as well as job characteristics such as union membership, part-time employment, and access to employer-provided training, to explore labor segmentation in the science and technology workforce. The findings reveal a pattern consistent with labor segmentation, including the presence of clusters with secondary employment characteristics (i.e., low wages, part-time employment, and lack of health insurance and pension benefits). Significantly, women were overrepresented in such clusters, as well as in part-time and contingent work arrangements more generally. The findings both support and complicate the evidence from prior research on the gender gap by illustrating the cumulative impact that measures of total compensation can have in assessing the true extent of compensation disparities between men and women and by highlighting the stratification of highly skilled labor in the new economy.

Ключевые слова: wage inequality, women, science, labor segmentation