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Gender segregation in the Spanish labor market: An alternative approach Coral del Río and Olga Alonso-Villar. Universidade de Vigo. Background: Overall segregation in the case of two categories. Index of dissimilarity (Duncan and Duncan, 1955):.
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Gender segregation in the Spanish labor market: An alternative approachCoral del Río and Olga Alonso-Villar Universidade de Vigo
Background: Overall segregation in the case of two categories Index of dissimilarity(Duncan and Duncan, 1955): fiis the number of female workers in occupationi; mi is the number of male workers. F is the total number of female workers and M is the total number of male workers.
Background: Overall segregation in the case of two categories KM index (Karmel and Maclachlan, 1988): Gini index(Silber, 1989): Hutchens’ indexes(Hutchens, 2004): Characterized in terms of axioms
Background: Local segregation in the case of two categories Moir and Selby Smith (1979) and Lewis (1982): ti is the number of workers in occupation i and T is the total number of workers
Background : Segregation in the case of multiple categories Overall • Silber (1992) Karmel and Maclachlan • Boisso et al. (1994) Gini • Reardon and Firebaugh (2002) inequality measures/ axioms • Frankel and Volij (2007): • Established a set of axioms for the measurement of overall segregation • Characterized the Mutual information index • Alonso-Villar and Del Río (2008): • Established a set of axioms for the measurement of local segregation • Characterized a family of local segregation measures • Proposed several local measures consistent with overall measures Local
Background: Alonso-Villar and Del Río (2008): j ---> occupation g ----> target group (female workers) Decomposable
Background: Alonso-Villar and Del Río (2008): • BASIC PROPERTIES: • Scale invariance • Symmetry in groups • Movements between groups • Insensitivity to proportional divisions • ADDITIONAL PROPERTY: • Aggregation
Background: Alonso-Villar and Del Río (2008): Local segregation curve:
Background: Alonso-Villar and Del Río (2008): Local segregation curve: the above axioms
The aim of this paper: • To analyze occupational segregation by gender in Spain • In doing so, the local and overall indexesmentioned above are used • In addition, two decompositions of the local segregation curves are proposed: • One by groups of occupations • Another by population subgroups • These decompositions are used to go further in the empirical analysis
Descomposing local segregation curves i) Decomposition by subgroups of occupations: ii) Decomposition by population subgroups:
AGE Young: 16 - 29 -- Middle-aged: 30 - 44 -- Elderly: >= 45 years old
45% 40%
Conclusions 1/2 1) Female segregation explains, at least, 50% of overall gender segregation, even though the demographic weight of women in the labor force is 41%. 2) Within the female group, the young and the elderly are the ones suffering the highest occupational segregation. 3) Regarding males, segregation is higher for young workers.
Conclusions 2/2 4) Human capital increases do not necessarily reduce segregation, since for both women and men, the educational group with the lowest segregation level is that with intermediate-education. 5) The type of contract (permanent versus temporary) is more important to explain male segregation than female segregation. 6) Part-time jobs have more power to explain female segregation, since women working part-time tend to concentrate in the most feminized occupations of the economy, while for men part-time jobs are more evenly distributed across occupations.
Occupational segregation in Spain: EPA, 2007, 2nd quarter Figure 1: Local segregation curves of female and male workers.