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Research Landscape on Hidden Workers in Aging Populations: Bibliometric Review

Author

Listed:
  • Sora Lee

    (Department of Public Health, La Trobe University, Melbourne, VIC 3086, Australia)

  • Woojin Kang

    (Department of Economics, Hanbat National University, Daejeon 305-719, Republic of Korea)

Abstract

In this study, we employ ‘hidden workers’ as a key concept to integrate the three vulnerable subgroups of aging workers: underemployed, unemployed, and discouraged workers. (1) Background: The challenges faced by underemployed, unemployed, and discouraged workers in the older population are complex. It would be beneficial to visualize the intellectual landscape of these three distinct groups in aging populations to understand which aspects have been highlighted by various disciplines and where gaps exist. (2) Method: Through a scientometric analysis of more than 50 years of research, this study identified the size, scope, and structure of knowledge on hidden workers in an aging population using 2831 articles collected from the Web of Science database in January 2024. (3) Results: Indeed, the multidisciplinary nature of hidden workers goes beyond welfare and labor economics and involves issues such as health, occupational science, behavior change, policy interventions, and circles around the keyword of unemployment. Keyword co-occurrence and co-citation analysis confirm that the spectrum of research on hidden workers is being carried out distinctly within distinct disciplines across the broader aging research horizon. (4) Conclusions: The relatively scattered and uneven intellectual, conceptual, and social landscape of research on hidden workers in aging populations evidently falls short of providing concerted policy recommendations for the population group. This study provides a conceptual understanding of hidden workers in different research clusters and identifies gaps and opportunities for future research.

Suggested Citation

  • Sora Lee & Woojin Kang, 2024. "Research Landscape on Hidden Workers in Aging Populations: Bibliometric Review," Social Sciences, MDPI, vol. 13(7), pages 1-19, June.
  • Handle: RePEc:gam:jscscx:v:13:y:2024:i:7:p:342-:d:1423827
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    References listed on IDEAS

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    1. Vladislav Flek & Martin Hála & Martina Mysíková, 2020. "Assessing the Job-Finding Probability of Older and Prime-Age Unemployed Workers," Prague Economic Papers, Prague University of Economics and Business, vol. 2020(4), pages 424-444.
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    4. Lammers, Marloes & Bloemen, Hans & Hochguertel, Stefan, 2013. "Job search requirements for older unemployed: Transitions to employment, early retirement and disability benefits," European Economic Review, Elsevier, vol. 58(C), pages 31-57.
    5. Engels, Barbara & Geyer, Johannes & Haan, Peter, 2017. "Pension incentives and early retirement," Labour Economics, Elsevier, vol. 47(C), pages 216-231.
    6. Esping-Andersen, Gosta, 1999. "Social Foundations of Postindustrial Economies," OUP Catalogue, Oxford University Press, number 9780198742005.
    7. Martikainen, P. & Valkonen, T., 1996. "Mortality after the death of a spouse: Rates and causes of death in a large Finnish cohort," American Journal of Public Health, American Public Health Association, vol. 86(8), pages 1087-1093.
    8. Tatsiramos, Konstantinos, 2010. "Job displacement and the transitions to re-employment and early retirement for non-employed older workers," European Economic Review, Elsevier, vol. 54(4), pages 517-535, May.
    9. Fergusson, David M. & John Horwood, L. & Woodward, Lianne J., 2001. "Unemployment and psychosocial adjustment in young adults: causation or selection?," Social Science & Medicine, Elsevier, vol. 53(3), pages 305-320, August.
    10. Chan, Sewin & Stevens, Ann Huff, 2001. "Job Loss and Employment Patterns of Older Workers," Journal of Labor Economics, University of Chicago Press, vol. 19(2), pages 484-521, April.
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    Cited by:

    1. Zhangwei Zheng & Hafizuddin-Syah B. A. M. & Hafizah Omar Zaki & Qin Lingda Tan, 2025. "Aging and Its Societal Impact: A Bibliometric Analysis," SAGE Open, , vol. 15(3), pages 21582440251, August.
    2. Sora Lee & Woojin Kang, 2024. "What Contributes to the Gender Gap? A Blinder–Oaxaca Decomposition Analysis of Hidden Workers in Australia," Social Sciences, MDPI, vol. 14(1), pages 1-16, December.

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