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Multidimensional Indexes of Occupational Segregation

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  • Martin Watts

    (Newcastle University, Australia)

Abstract

The properties of three multidimensional measures of occupational segregation by gender and race are compared-namely, the generalizations of the Karmel and Maclachlan and Gini indexes and Goodman and Kruskal's Ï„ b . The generalization of the Gini index is shown to be flawed. Calculations are undertaken for the other two measures, using unpublished U.S. Department of Labor employment data for six gender/race groups for the period 1983 to 1992. It is concluded that, if correctly decomposed, Silber's generalization of the Karmel and Maclachlan index is the superior measure for tracking trends over time of occupational segregation by gender and race.

Suggested Citation

  • Martin Watts, 1997. "Multidimensional Indexes of Occupational Segregation," Evaluation Review, , vol. 21(4), pages 461-482, August.
  • Handle: RePEc:sae:evarev:v:21:y:1997:i:4:p:461-482
    DOI: 10.1177/0193841X9702100403
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    References listed on IDEAS

    as
    1. Shorrocks, A F, 1980. "The Class of Additively Decomposable Inequality Measures," Econometrica, Econometric Society, vol. 48(3), pages 613-625, April.
    2. Silber, Jacques G., 1989. "On the measurement of employment segregation," Economics Letters, Elsevier, vol. 30(3), pages 237-243, September.
    3. repec:bla:ecorec:v:64:y:1988:i:186:p:187-95 is not listed on IDEAS
    4. Barbara S. Zoloth, 1976. "Alternative Measures of School Segregation," Land Economics, University of Wisconsin Press, vol. 52(3), pages 278-298.
    5. T. Karmel & M. Maclachlan, 1988. "Occupational Sex Segregation —Increasing or Decreasing?," The Economic Record, The Economic Society of Australia, vol. 64(3), pages 187-195, September.
    6. Martin Watts, 1992. "How Should Occupational Sex Segregation be Measured?," Work, Employment & Society, British Sociological Association, vol. 6(3), pages 475-487, September.
    7. 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.
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    Cited by:

    1. Ray Chaudhury, Anjan & Sinha, Madhabendra, 2019. "Multi-group segregation for nominal and ordinal categorical data: An application to socio-religious groups in India," Journal of Policy Modeling, Elsevier, vol. 41(6), pages 1095-1108.

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