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An algorithm to reduce the occupational space in gender segregation studies

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  • Ricardo Mora

    (Departamento de Economia, Universidad Carlos III de Madrid, Spain)

  • Javier Ruiz-Castillo

    (Departamento de Economia, Universidad Carlos III de Madrid, Spain)

  • Neus Herranz

    (Department of Economics, University of Illinois at Urbana-Champaign, USA)

Abstract

This paper presents an algorithm based on the bootstrap to select an admissible aggregation level, that is, the minimum number of occupational categories that yield a gender segregation value not significantly smaller than that obtained from the large number of occupational categories usually available in any data set. The approach is illustrated using labour 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 on the entropy concept is used. Despite a substantial simplification in the size of the occupation 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. Copyright © 2005 John Wiley & Sons, Ltd.

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Bibliographic Info

Article provided by John Wiley & Sons, Ltd. in its journal Journal of Applied Econometrics.

Volume (Year): 20 (2005)
Issue (Month): 1 ()
Pages: 25-37

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Handle: RePEc:jae:japmet:v:20:y:2005:i:1:p:25-37

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  1. 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.
  2. Francine D. Blau & Wallace E. Hendricks, 1979. "Occupational Segregation by Sex: Trends and Prospects," Journal of Human Resources, University of Wisconsin Press, vol. 14(2), pages 197-210.
  3. 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.
  4. 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.
  5. 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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Cited by:
  1. Oscar Volij & David Frankel, 2004. "Measuring Segregation," Econometric Society 2004 North American Summer Meetings 210, Econometric Society.
  2. 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.
  3. Ricardo Mora & Javier Ruiz-Castillo, 2003. "Gender Segregation: From Birth To Occupation," Economics Working Papers we033612, Universidad Carlos III, Departamento de Economía.
  4. Ricardo Mora & Javier Ruiz-Castillo, 2003. "An Evaluation Of An Entropy Based Index Of Segregation," Economics Working Papers we034014, Universidad Carlos III, Departamento de Economía.
  5. Juan Ignacio Palacio & Hipólito J. Simón, . "Segregación laboral y diferencias salariales por sexo en España," Studies on the Spanish Economy 151, FEDEA.

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