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Symmetric measures of segregation, segregation curves, and Blackwell’s criterion

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  • Hutchens, Robert

Abstract

This paper first proposes a new way to use segregation curves to examine whether one distribution of people across groups (e.g., occupations or neighborhoods) is more segregated than another. It then uses Blackwell’s criterion to extend the argument to more than two types of people. The basic idea is that by introducing additional assumptions about the nature of segregation, one obtains a more complete ranking of distributions. The paper demonstrates that the assumption of “symmetry in types”–an assumption that appears frequently in the literature on segregation measurement–has implications for both segregation curves and Blackwell’s criterion.

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  • Hutchens, Robert, 2015. "Symmetric measures of segregation, segregation curves, and Blackwell’s criterion," Mathematical Social Sciences, Elsevier, vol. 73(C), pages 63-68.
    • Handle: RePEc:eee:matsoc:v:73:y:2015:i:c:p:63-68
    DOI: 10.1016/j.mathsocsci.2014.11.007
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    References listed on IDEAS

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    1. Robert Hutchens, 2004. "One Measure of Segregation," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 45(2), pages 555-578, May.
    2. Frankel, David M. & Volij, Oscar, 2011. "Measuring school segregation," Journal of Economic Theory, Elsevier, vol. 146(1), pages 1-38, January.
    3. Casilda Vega & Oscar Volij, 2014. "Segregation, informativeness and Lorenz dominance," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 43(3), pages 547-564, October.
    4. Hutchens, Robert M., 1991. "Segregation curves, Lorenz curves, and inequality in the distribution of people across occupations," Mathematical Social Sciences, Elsevier, vol. 21(1), pages 31-51, February.
    5. Hutchens, Robert, 2001. "Numerical measures of segregation: desirable properties and their implications," Mathematical Social Sciences, Elsevier, vol. 42(1), pages 13-29, July.
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    Cited by:

    1. I. Josa & A. Aguado, 2020. "Measuring Unidimensional Inequality: Practical Framework for the Choice of an Appropriate Measure," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 149(2), pages 541-570, June.
    2. Francesco Andreoli & Claudio Zoli, 2023. "Robust dissimilarity comparisons with categorical outcomes," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 60(3), pages 397-437, April.
    3. Carmen Puerta & Ana Urrutia, 2016. "A characterization of the Gini segregation index," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 47(3), pages 519-529, October.
    4. Francesco Andreoli & Claudio Zoli, 2019. "Robust dissimilarity comparisons with categorical outcomes," Working Papers 502, ECINEQ, Society for the Study of Economic Inequality.

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