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The Evolution of Health over the Life Cycle

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  • Roozbeh Hosseini

    (University of Georgia)

  • Kai Zhao

    (University of Connecticut)

  • Karen Kopecky

    (Federal Reserve Bank of Atlanta)

Abstract

Recent studies have identified health dynamics and health shocks as major sources of risk over the life cycle. Health has implications for many economic variables includ- ing asset accumulation, labor supply, and income and wealth inequality. Despite the importance of health in economic studies, there is no unified objective measure of health status. In this paper we propose such a measure: frailty, defined as the cumulative sum of all adverse health indicators observed for an individual. There is overwhelming evidence in the gerontology literature that this simple measure is a strong predictor of mortality and other health outcomes. We construct a frailty index for individuals in the PSID, HRS and MEPS separately and make the following three observations. One, our constructed frailty index is remarkably consistent across the three datasets in terms of persistence, and dynamics of its distribution. This is in contrast to the most commonly used measure of health, self-reported health status. Two, individuals’ health decays at a substantially faster pace over the lifecycle when measured by frailty as opposed to self-reported health status. Three, health status is more persistent when measured by frailty as opposed to self reported health status. We estimate a dynamic process for frailty over the life cycle and show that an important driver of increasing inequality in health with age is dispersion in growth rates of frailty across individuals. Our frailty measure and dynamic process can be used by economists to study the evolution of health status over the life cycle and its implications.

Suggested Citation

  • Roozbeh Hosseini & Kai Zhao & Karen Kopecky, 2018. "The Evolution of Health over the Life Cycle," 2018 Meeting Papers 977, Society for Economic Dynamics.
  • Handle: RePEc:red:sed018:977
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    Cited by:

    1. Svetlana Pashchenko & Ponpoje (Poe) Porapakkarm & Mariacristina De Nardi, 2017. "The Lifetime Costs of Bad Health," 2017 Meeting Papers 533, Society for Economic Dynamics.
    2. Umesh Ghimire, 2020. "The Impact of Health on Wealth: Empirical Evidence," Working papers 2020-19, University of Connecticut, Department of Economics.
    3. Schünemann, Johannes & Strulik, Holger & Trimborn, Timo, 2022. "Optimal demand for medical and long-term care," The Journal of the Economics of Ageing, Elsevier, vol. 23(C).
    4. Plassard, Romain, 2022. "Diagnosing unemployment: the dual project of the ENSAE's band," MPRA Paper 113584, University Library of Munich, Germany.
    5. Dragone, Davide & Strulik, Holger, 2020. "Negligible senescence: An economic life cycle model for the future," Journal of Economic Behavior & Organization, Elsevier, vol. 171(C), pages 264-285.
    6. Abeliansky, Ana & Strulik, Holger, 2020. "Health and aging before and after retirement," University of Göttingen Working Papers in Economics 397, University of Goettingen, Department of Economics.
    7. Abeliansky, Ana Lucia & Erel, Devin & Strulik, Holger, 2019. "Aging in the USA: Similarities and disparities across time and space," University of Göttingen Working Papers in Economics 384, University of Goettingen, Department of Economics.
    8. Chiara Dal Bianco, . "Disability Insurance and the Effects of Return-to-work Policies," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics.
    9. Curtis, Chadwick & Garín, Julio & Lester, Robert, 2022. "Working, consuming, and dying: Quantifying the diversity in the american experience," Journal of Economic Dynamics and Control, Elsevier, vol. 138(C).
    10. Tianxu Chen, 2019. "Can Health Savings Account Reduce Health Spending?: Evidence from China," Working papers 2019-08, University of Connecticut, Department of Economics.
    11. FUKAI Taiyo & ICHIMURA Hidehiko & KITAO Sagiri & MIKOSHIBA Minamo, 2021. "Medical Expenditures over the Life Cycle: Persistent Risks and Insurance," Discussion papers 21073, Research Institute of Economy, Trade and Industry (RIETI).
    12. Strulik, Holger, 2021. "Intertemporal choice with health-dependent discounting," Mathematical Social Sciences, Elsevier, vol. 111(C), pages 19-25.

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    More about this item

    JEL classification:

    • I10 - Health, Education, and Welfare - - Health - - - General
    • I14 - Health, Education, and Welfare - - Health - - - Health and Inequality
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models

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