Corpus ID: 16441942

The Divergence Index: A Decomposable Measure of Segregation and Inequality

@article{Roberto2015TheDI,
  title={The Divergence Index: A Decomposable Measure of Segregation and Inequality},
  author={E. Roberto},
  journal={arXiv: Methodology},
  year={2015}
}
  • E. Roberto
  • Published 2015
  • Mathematics, Computer Science, Physics
  • arXiv: Methodology
  • Decomposition analysis is a critical tool for understanding the social and spatial dimensions of inequality, segregation, and diversity. In this paper, I propose a new measure - the Divergence Index - to address the need for a decomposable measure of segregation. Although the Information Theory Index has been used to decompose segregation within and between communities, I argue that it measures relative diversity not segregation. I demonstrate the importance of this conceptual distinction with… CONTINUE READING
    10 Citations

    Figures, Tables, and Topics from this paper

    Explore Further: Topics Discussed in This Paper

    An international comparison of income segregation
    • Paolo Veneria, Andre Comandonb, Miquel-Àngel Garcia-Lópezc, Michiel N. Daamsd
    • 2020
    Dynamics of racial segregation and gentrification in New York City
    • PDF
    Evaluating Residential Segregation’s Relation to the Clustering of Poor Health across American Cities
    • 3
    • PDF
    Social Inclusion and Physical Activity in Ciclovía Recreativa Programs in Latin America
    • PDF
    Analysis of Residential Segregation
    • 2018

    References

    SHOWING 1-10 OF 84 REFERENCES
    2. Measures of Multigroup Segregation
    • 609
    • Highly Influential
    3. Measures of Spatial Segregation
    • 490
    • PDF
    Temporal Changes and Urban Differences in Residential Segregation: A Reconsideration
    • 108
    Segregation and diversity measures in population distribution.
    • M. White
    • Geography, Medicine
    • Population index
    • 1986
    • 471
    • Highly Influential
    Utilizing Standardized Indices of Residential Segregation: Comment on Winship
    • 34
    Decomposition procedures for distributional analysis: a unified framework based on the Shapley value
    • 581
    • PDF