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A Multi-dimensional Individual Well-Being Framework: With an Application to Older Australians

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  • Yuvisthi Naidoo

    (Social Policy Research Centre, University of New South Wales)

Abstract

This paper constructs a multi-dimensional individual well-being (MIW) indicator framework to explicitly recognise the inter-relationship between economic and non-economic dimensions in encapsulating the totality of an individual’s life. The MIW framework treats individual well-being as a multi-dimensional concept disaggregable into uniquely defined but latent well-being dimensions with observable indicators attached to each. A composite well-being index applicable to individual level analysis is developed through a series of intra-personal aggregative procedures. The results are based on person-level data from the household, income and labour dynamics in Australia survey and applied to an assessment of the individual well-being of older Australians, aged 65 years and over. The findings indicate that, although older Australians have slightly lower overall well-being compared to non-older adults, driven primarily by declining physical health and to a lesser extent mental health, they maintain strong personal relationships, and engage actively in their communities. More generally, the approach outlines how to quantify objective multi-dimensional assessments of individual well-being.

Suggested Citation

  • Yuvisthi Naidoo, 2019. "A Multi-dimensional Individual Well-Being Framework: With an Application to Older Australians," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 146(3), pages 581-608, December.
  • Handle: RePEc:spr:soinre:v:146:y:2019:i:3:d:10.1007_s11205-019-02132-w
    DOI: 10.1007/s11205-019-02132-w
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    1. Xin Xu & Yuan Zhao & Siyou Xia & Panpan Cui & Wenmin Tang & Xiaoliang Hu & Bei Wu, 2022. "Quality of Life and Its Influencing Factors Among Centenarians in Nanjing, China: A Cross-Sectional Study," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 160(2), pages 735-755, April.
    2. Lijing Dong & Zhanhua Jia & Lingyu Zhang & Shaohua Wang, 2022. "Obstacle Factors and Spatial Measurement of the Well-Being of the Elderly in China," Sustainability, MDPI, vol. 14(4), pages 1-15, February.
    3. Xin Xu & Yuan Zhao & Jianfang Zhou & Siyou Xia, 2022. "Quality-of-Life Evaluation among the Oldest-Old in China under the “Active Aging Framework”," IJERPH, MDPI, vol. 19(8), pages 1-15, April.

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