An Algorithm To Reduce The Occupational Space In Gender Segregation Studies
This paper presents an algorithm based on the bootstrap to select an admissible aggregation level, that is, the minimum number of occupational categories which yield a gender segregation value which is not significantly smaller than that obtained from the large number of occupational categories usually available in any data set. The approach is illustrated using Labor Force Survey data for Spain for the comparison of gender segregation in 1977 and 1992, as well as 1994 and 2000. To measure gender segregation, an additively decomposable segregation index based in the entropy concept is used. Despite a substantial simplification in the size of the occupation’s space, the decrease in the segregation index is very small and not significant, regardless of the year. Consequently, intertemporal changes in gender segregation can be studied using a greatly reduced classification of occupations that permits an easier interpretation of results.
|Date of creation:||Mar 2003|
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- Ricardo Mora & Javier Ruiz-Castillo, 2003.
"Additively Decomposable Segregation Indexes. The Case Of Gender Segregation By Occupations And Human Capital Levels In Spain,"
Economics Working Papers
we031503, Universidad Carlos III, Departamento de Economía.
- Ricardo Mora & Javier Ruiz-Castillo, 2003. "Additively Decomposable Segregation Indexes. The Case of Gender Segregation by Occupations and Human Capital Levels in Spain," Journal of Economic Inequality, Springer, vol. 1(2), pages 147-179, August.
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- Barbara R. Bergmann, 1974. "Occupational Segregation, Wages and Profits When Employers Discriminate by Race or Sex," Eastern Economic Journal, Eastern Economic Association, vol. 1(2), pages 103-110, April.
- Silber, Jacques, 1989. "Factor Components, Population Subgroups and the Computation of the Gini Index of Inequality," The Review of Economics and Statistics, MIT Press, vol. 71(1), pages 107-15, February.
- Deutsch, Joseph & Fluckiger, Yves & Silber, Jacques, 1994. "Measuring occupational segregation : Summary statistics and the impact of classification errors and aggregation," Journal of Econometrics, Elsevier, vol. 61(1), pages 133-146, March.
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