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Interpretation problems with changes in indices based on categorizations

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  • Frijters, Paul

Abstract

In this paper it is argued that occupational and organizational codes maximizethe correspondence between activities and easily observable characteristics atthe time of their development. Over time the codes become less relevant, leadingto the false impression that the segregation of individuals is declining.
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Suggested Citation

  • Frijters, Paul, 2001. "Interpretation problems with changes in indices based on categorizations," Economics Letters, Elsevier, vol. 72(3), pages 375-379, September.
  • Handle: RePEc:eee:ecolet:v:72:y:2001:i:3:p:375-379
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    References listed on IDEAS

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    1. Macpherson, David A & Hirsch, Barry T, 1995. "Wages and Gender Composition: Why Do Women's Jobs Pay Less?," Journal of Labor Economics, University of Chicago Press, vol. 13(3), pages 426-471, July.
    2. Kim Weeden, 1998. "Revisiting occupational sex segregation in the United States, 1910–1990: Results from a log-linear approach," Demography, Springer;Population Association of America (PAA), vol. 35(4), pages 475-487, November.
    3. Martin Watts, 1995. "Divergent Trends in Gender Segregation by Occupation in the United States: 1970-92," Journal of Post Keynesian Economics, M.E. Sharpe, Inc., vol. 17(3), pages 357-379, April.
    4. Carrington, William J & Troske, Kenneth R, 1997. "On Measuring Segregation in Samples with Small Units," Journal of Business & Economic Statistics, American Statistical Association, vol. 15(4), pages 402-409, October.
    5. Francine Blau & Patricia Simpson & Deborah Anderson, 1998. "Continuing Progress? Trends in Occupational Segregation in the United States over the 1970s and 1980s," Feminist Economics, Taylor & Francis Journals, vol. 4(3), pages 29-71.
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    More about this item

    JEL classification:

    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation

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