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Entropy-based segregation indices

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  • Mora, Ricardo
  • Ruiz-Castillo, Javier

Abstract

Recent research has shown that two entropy-based segregation indices possess an appealing mixture of basic and subsidiary but useful properties. It would appear that the only fundamental difference between the mutual information, or M index, and the Entropy, Information or H index, is that the second is a normalized version of the first. This paper introduces another normalized index in that famiy, the H* index that, contrary to what is often asserted in the literature, is the normalized entropy index that captures the notion of segregation as departures from evenness. More importantly, the paper shows that applied researchers may do better using the M index than using either H or H* in two dircunstances: (i) if they are interested in the decomposability of segregation measures for any partition of organizational units into larger clusters and of demographic groups into supergroups, and (ii) if they are interested in the invariance properties of segregation measures to changes in the marginal distributions by demographic groups and by organizational units

Suggested Citation

  • Mora, Ricardo & Ruiz-Castillo, Javier, 2010. "Entropy-based segregation indices," UC3M Working papers. Economics we1012, Universidad Carlos III de Madrid. Departamento de Economía.
    • Handle: RePEc:cte:werepe:we1012
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    1. Alonso-Villar, Olga & del Río, Coral, 2010. "Local versus overall segregation measures," Mathematical Social Sciences, Elsevier, vol. 60(1), pages 30-38, July.
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    Cited by:

    1. Martin Watts, 2014. "Spatial indexes: a focus on segregation," Chapters, in: Robert Stimson (ed.), Handbook of Research Methods and Applications in Spatially Integrated Social Science, chapter 15, pages 287-314, Edward Elgar Publishing.
    2. Aisling J. Daly & Jan M. Baetens & Bernard De Baets, 2018. "Ecological Diversity: Measuring the Unmeasurable," Mathematics, MDPI, vol. 6(7), pages 1-28, July.

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