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Using Lorenz Curves to Characterise Urban Elderly Populations

Author

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  • Allen C. Goodman

    (Department of Economics, Wayne State University, Michigan, USA)

Abstract

This study measures urban elderly distributions using Lorenz curves and Gini coefficients estimated from 1980 Census data. The results suggest ways that such summary measures can be used to examine population distributions among urban areas. The paper considers three metropolitan areas, Baltimore, Philadelphia, and Pittsburgh. The elderly are more concentrated in the central cities of Philadelphia and Baltimore than in Pittsburgh, even though the Pittsburgh SMSA has the largest elderly percentage of the three. The elderly and the poor elderly are more concentrated in Baltimore than in Philadelphia, and both are more concentrated than in Pittsburgh.

Suggested Citation

  • Allen C. Goodman, 1987. "Using Lorenz Curves to Characterise Urban Elderly Populations," Urban Studies, Urban Studies Journal Limited, vol. 24(1), pages 77-80, February.
    • Handle: RePEc:sae:urbstu:v:24:y:1987:i:1:p:77-80
    DOI: 10.1080/00420988720080071
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    References listed on IDEAS

    as
    1. Rossi, Jose W., 1985. "Notes on a new functional form for the Lorenz curve," Economics Letters, Elsevier, vol. 17(1-2), pages 193-197.
    2. Rasche, R H, et al, 1980. "Functional Forms for Estimating the Lorenz Curve: Comment," Econometrica, Econometric Society, vol. 48(4), pages 1061-1062, May.
    3. Kakwani, Nanak C & Podder, N, 1976. "Efficient Estimation of the Lorenz Curve and Associated Inequality Measures from Grouped Observations," Econometrica, Econometric Society, vol. 44(1), pages 137-148, January.
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    Cited by:

    1. Xin Xu & Yuan Zhao & Xinlin Zhang & Siyou Xia, 2018. "Identifying the Impacts of Social, Economic, and Environmental Factors on Population Aging in the Yangtze River Delta Using the Geographical Detector Technique," Sustainability, MDPI, vol. 10(5), pages 1-15, May.

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