2003
DOI: 10.2307/1515159
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Rethinking Gender Segregation and Gender Inequality: Measures and Meanings

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Cited by 13 publications
(15 citation statements)
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References 11 publications
(18 reference statements)
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“…In 1995, it was 53.5, meaning that more than half of employed women would have to change jobs to remove all occupational segregation (Wootton, 1997). Comparative studies show that most European countries have higher occupational gender segregation than the USA (Evans, 2002;Bridges, 2003). While women are making some progress in managerial work, it remains restricted largely to lower and middle ranks (Morrison et al, 1987;Goodman et al, 2003;Eagly and Carli, 2007).…”
Section: Introductionmentioning
confidence: 99%
“…In 1995, it was 53.5, meaning that more than half of employed women would have to change jobs to remove all occupational segregation (Wootton, 1997). Comparative studies show that most European countries have higher occupational gender segregation than the USA (Evans, 2002;Bridges, 2003). While women are making some progress in managerial work, it remains restricted largely to lower and middle ranks (Morrison et al, 1987;Goodman et al, 2003;Eagly and Carli, 2007).…”
Section: Introductionmentioning
confidence: 99%
“…This should be of pertinence in the present studies, considering the proposed characteristics of a highly feminine country: less clearly differentiated gender roles, less occupational segregation, similar types of higher education for men and women, and a stronger position of the mother in the family (Arrindell et al, 2003). However, in contrast to these theoretical propositions, the Swedish labor market is more segregated into typically male and female work-sectors than many other countries (Bridges, 2003;Statistics Sweden, 2006), and the proportion of women in senior management is below the EU average (Franco, 2007). Sex segregation of the labor market is known to influence occupational stereotypes (Cejka & Eagly, 1999).…”
Section: Introductionmentioning
confidence: 77%
“…By that logic, for example, the gender composition of 4 million truck drivers would constitute one data point and 1 thousand blacksmiths would constitute another. A further variation constructs log-multiplicative models using gender ratios in each occupation, at which point the computations and assumptions become much more complex (Bridges 2003;Charles & Grusky 1995).…”
Section: How Segregated Are Men and Women At Work?mentioning
confidence: 99%