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Educational Gradients in Disability among Asia’s Future Elderly: Projections for the Republic of Korea and Singapore

Author

Listed:
  • CYNTHIA CHEN

    (Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore2Schaeffer Center for Health Policy and Economics, University of Southern California, United States (US))

  • JUE TAO LIM

    (Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore)

  • NGEE CHOON CHIA

    (Department of Economics, National University of Singapore, Singapore)

  • DAEJUNG KIM

    (Department of Health Care Policy Research, Korea Institute for Health and Social Affairs, Republic of Korea)

  • HAEMI PARK

    (Department of Social Welfare, Daejeon University, Republic of Korea)

  • LIJIA WANG

    (Department of Statistics and Actuarial Science, University of Waterloo, Canada)

  • BRYAN TYSINGER

    (Schaeffer Center for Health Policy and Economics, University of Southern California, US)

  • MICHELLE ZHAO

    (Stanford University, US)

  • ALEX R. COOK

    (Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore)

  • MING ZHE CHONG

    (Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore)

  • JIAN-MIN YUAN

    (Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, US10Division of Cancer Control and Population Sciences, UPMC Hillman Cancer Center, US)

  • STEFAN MA

    (1Epidemiology and Disease Control Division, Ministry of Health, Singapore)

  • KELVIN BRYAN TAN

    (2Policy Research and Economics Office, Ministry of Health, Singapore)

  • TZE PIN NG

    (3Yong Loo Lin School of Medicine, National University of Singapore, Singapore)

  • WOON-PUAY KOH

    (4Healthy Longevity Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore15Singapore Institute for Clinical Sciences, Agency for Science Technology and Research, Singapore)

  • JOANNE YOONG

    (6Center for Economic and Social Research, University of Southern California, US)

  • JAY BHATTACHARYA

    (7School of Medicine, Stanford University, US)

  • KAREN EGGLESTON

    (8Shorenstein Asia Pacific Research Center, Stanford University, US)

Abstract

Asia is home to the most rapidly aging populations in the world. This study focuses on two countries in Asia that are advanced in terms of their demographic transition: the Republic of Korea and Singapore. We developed a demographic and economic state-transition microsimulation model based on the Korean Longitudinal Study of Aging and the Singapore Chinese Health Study. The model was employed to compare projections of functional status and disability among future cohorts of older adults, including disparities in disability prevalence by educational attainment. The model also projects increasing disparities in the prevalence of activities-of-daily-living disability and other chronic diseases between those with low and high educational attainment. Despite overall increases in educational attainment, all elderly, including those with a college degree, experience an increased burden of functional disability and chronic diseases because of survival to older ages. These increases have significant economic and social implications, including increased medical and long-term care expenditures, and an increased caregiver burden.

Suggested Citation

  • Cynthia Chen & Jue Tao Lim & Ngee Choon Chia & Daejung Kim & Haemi Park & Lijia Wang & Bryan Tysinger & Michelle Zhao & Alex R. Cook & Ming Zhe Chong & Jian-Min Yuan & Stefan Ma & Kelvin Bryan Tan & T, 2022. "Educational Gradients in Disability among Asia’s Future Elderly: Projections for the Republic of Korea and Singapore," Asian Development Review (ADR), World Scientific Publishing Co. Pte. Ltd., vol. 39(01), pages 51-89, March.
    • Handle: RePEc:wsi:adrxxx:v:39:y:2022:i:01:n:s0116110522500056
    DOI: 10.1142/S0116110522500056
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    Keywords

    ADL disability; microsimulation model; Republic of Korea; Singapore;
    All these keywords.

    JEL classification:

    • I14 - Health, Education, and Welfare - - Health - - - Health and Inequality

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