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Objective Inequality Indexes Joining Income with Life Expectancy Through the Life Quality Index of Sub-populations

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  • Niels Lind

    (University of Waterloo)

Abstract

Two indexes are developed to compare inequality: one within, the other between countries. The indexes are objective, more transparent and comprehensive. They integrate inequality of mortality with income inequality by using the Life Quality Index for sub-populations, focusing on the poorer ones, below the medians of life expectancy at birth and income together. The Life Equality Index directs attention to local inequality and can support policy interventions. The Inequality-Adjusted Life Quality Index is an alternative to the established Inequality-Adjusted Human Development Index IHDI that also gives international rankings but suffers from the intrinsic shortcomings of its parent index HDI. The sub-populations are defined through the abridged life tables and third-degree polynomial approximations of the Lorenz curves. Among the countries studied, totaling over 62% of the world population, the results show that those that rank high by the Life Quality Index have also developed high internal equality and high quality-adjusted incomes. Just as the Life Quality Index generally increases with time for almost all countries, so do the equality and the quality-adjusted income, particularly for the poorer.

Suggested Citation

  • Niels Lind, 2021. "Objective Inequality Indexes Joining Income with Life Expectancy Through the Life Quality Index of Sub-populations," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 153(3), pages 781-794, February.
    • Handle: RePEc:spr:soinre:v:153:y:2021:i:3:d:10.1007_s11205-020-02504-7
    DOI: 10.1007/s11205-020-02504-7
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    References listed on IDEAS

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    1. Niels Lind, 2019. "A Development of the Human Development Index," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 146(3), pages 409-423, December.
    2. J. S. Nathwani & N. C. Lind & M. D. Pandey, 2009. "Engineering Decisions for Life Quality," Springer Series in Reliability Engineering, Springer, number 978-1-84882-602-1, March.
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    1. Hao Yang & Shaobin Wang & Zhoupeng Ren & Haimeng Liu & Yun Tong & Na Wang, 2022. "Life Expectancy, Air Pollution, and Socioeconomic Factors: A Multivariate Time-Series Analysis of Beijing City, China," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 162(3), pages 979-994, August.
    2. Kamal Khan & Muhammad Zeeshan & Abdul Moiz & Raisa Bano & Mohammad Haroon Khan & Sadique Ahmad & Yasir Javed & Mohammed ElAffendi & Abdelhamied A. Ateya, 2024. "Influence of Government Effectiveness, Health Expenditure, and Sustainable Development Goals on Life Expectancy: Evidence from Time Series Data," Sustainability, MDPI, vol. 16(14), pages 1-16, July.
    3. Hexiang Zhang & Wei Ge & Yadong Zhang & Zongkun Li & Wei Li & Junyu Zhu & Wenqi Wang, 2023. "Risk Management Decision of Reservoir Dams Based on the Improved Life Quality Index," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(3), pages 1223-1239, February.
    4. Andrea Nigri & Susanna Levantesi & Gabriella Piscopo, 2022. "Causes-of-Death Specific Estimates from Synthetic Health Measure: A Methodological Framework," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 162(2), pages 887-908, July.

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