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The Use of Diversity Analysis to Assess the Relative Influence of Factors Affecting the Income Distribution

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  • Nayak, Tapan K
  • Gastwirth, Joseph L

Abstract

This article uses diversity measures based on quadratic entropy to analyze the relative effects of factors such as age, sex, and education on the income distribution. In particular, sex appears to be as important as education in explaining the overall income inequality in the data collected by the U.S. Bureau of the Census. An advantage of the diversity measures is that they possess a decomposition of the total inequality into between-group and within-group components. Moreover, analogs of partial association enable one to study the effects of several factors. By using several measures, our inferences are shown to be robust.

Suggested Citation

  • Nayak, Tapan K & Gastwirth, Joseph L, 1989. "The Use of Diversity Analysis to Assess the Relative Influence of Factors Affecting the Income Distribution," Journal of Business & Economic Statistics, American Statistical Association, vol. 7(4), pages 453-460, October.
    • Handle: RePEc:bes:jnlbes:v:7:y:1989:i:4:p:453-60
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    Cited by:

    1. Tsai, Ming-Tien & Sen, Pranab Kumar, 2005. "Asymptotically optimal tests for parametric functions against ordered functional alternatives," Journal of Multivariate Analysis, Elsevier, vol. 95(1), pages 37-49, July.
    2. Benoît Carmichael & Gilles Boevi Koumou & Kevin Moran, 2023. "Unifying Portfolio Diversification Measures Using Rao’s Quadratic Entropy," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 21(4), pages 769-802, December.
    3. Benoit Carmichael & Gilles Boevi Koumou & Kevin Moran, 2021. "The political reception of innovations," Cahiers de recherche 2107, Centre de recherche sur les risques, les enjeux économiques, et les politiques publiques.
    4. repec:ilo:ilowps:292069 is not listed on IDEAS
    5. Rassou R., 1993. "Statistical measurement of gender wage differentials," ILO Working Papers 992920693402676, International Labour Organization.
    6. Benoît Carmichael & Gilles Boevi Koumou & Kevin Moran, 2021. "The RQE-CAPM : New insights about the pricing of idiosyncratic risk," CIRANO Working Papers 2021s-28, CIRANO.
    7. Dionne, Georges & Koumou, Gilles Boevi, 2018. "Machine Learning and Risk Management: SVDD Meets RQE," Working Papers 18-6, HEC Montreal, Canada Research Chair in Risk Management.

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