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How Important Is Health Inequality for Lifetime Earnings Inequality?


  • Roozbeh Hosseini

    (University of Georgia)

  • Karen A. Kopecky

    (Emory University)

  • Kai Zhao

    (University of Connecticut)


Using a dynamic panel approach, we provide empirical evidence that negative health shocks reduce earnings. The effect is primarily driven by the participation margin and is concentrated in less educated and poor health individuals. We build a dynamic, gen-eral equilibrium, lifecycle model that is consistent with these findings. In the model, individuals, whose health is risky and heterogeneous, choose to either work, or not work and apply for social security disability insurance (SSDI). Health impacts individuals’ productivity, SSDI access, disutility from work, mortality, and medical expenses. Cali-brating the model to the United States, we find that health inequality is an important source of lifetime earnings inequality: nearly 29 percent of the variation in lifetime earnings at age 65 is due to the fact that Americans face risky and heterogeneous life-cycle health profiles. A decomposition exercise reveals that the primary reason why individuals in the United States in poor health have low lifetime earnings is because they have a high probability of obtaining SSDI benefits. In other words, the SSDI program is an important contributor to lifetime earnings inequality. Despite this, we show that it is ex ante welfare improving and, if anything, should be expanded.

Suggested Citation

  • Roozbeh Hosseini & Karen A. Kopecky & Kai Zhao, 2020. "How Important Is Health Inequality for Lifetime Earnings Inequality?," Working papers 2020-20, University of Connecticut, Department of Economics.
  • Handle: RePEc:uct:uconnp:2020-20

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    Blog mentions

    As found by, the blog aggregator for Economics research:
    1. How Important Is Health Inequality for Lifetime Earnings Inequality?
      by Christian Zimmermann in NEP-DGE blog on 2021-01-07 18:34:35


    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.

    Cited by:

    1. Ashantha Ranasinghe & Xuejuan Su, 2023. "When social assistance meets market power: A mixed duopoly view of health insurance in the United States," Economic Inquiry, Western Economic Association International, vol. 61(4), pages 851-869, October.
    2. Jeremy Greenwood & Nezih Guner & Karen A. Kopecky, 2022. "The Downward Spiral," NBER Working Papers 29764, National Bureau of Economic Research, Inc.
    3. Ghimire, Umesh, 2022. "The Impact of Health on Wealth: Empirical Evidence," MPRA Paper 113850, University Library of Munich, Germany.
    4. Michael Keane & Elena Capatina & Shiko Maruyama, 2019. "Health Shocks and the Evolution of Earnings over the Life-Cycle," Discussion Papers 2018-14a, School of Economics, The University of New South Wales.
    5. Elena Capatina & Michael P. Keane, 2023. "Health Shocks, Health Insurance, Human Capital, and the Dynamics of Earnings and Health," Opportunity and Inclusive Growth Institute Working Papers 080, Federal Reserve Bank of Minneapolis.
    6. Ayşe İmrohoroğlu & Kai Zhao, 2022. "Homelessness," Working papers 2022-17, University of Connecticut, Department of Economics.
    7. Soojin Kim & Serena Rhee, 2022. "Understanding the Aggregate Effects of Disability Insurance," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 46, pages 328-364, October.
    8. Diego Daruich & Raquel Fernández, 2024. "Universal Basic Income: A Dynamic Assessment," American Economic Review, American Economic Association, vol. 114(1), pages 38-88, January.
    9. Chaoran Chen & Zhigang Feng & Jiaying Gu, 2022. "Health, Health Insurance, and Inequality," Working Papers tecipa-730, University of Toronto, Department of Economics.
    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. You Du & Weige Huang, 2023. "Portfolio Allocation with Medical Expenditure Risk-A Life Cycle Model and Machine Learning Analysis," Journal of Regional Economics, Anser Press, vol. 2(1), pages 53-68, October.
    13. White, Matthew N., 2023. "Self-reported health status and latent health dynamics," Journal of Health Economics, Elsevier, vol. 88(C).

    More about this item


    earnings; health; frailty; inequality; disability; dynamic panel estimation; life-cycle models;
    All these keywords.

    JEL classification:

    • D52 - Microeconomics - - General Equilibrium and Disequilibrium - - - Incomplete Markets
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • E21 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Consumption; Saving; Wealth
    • H53 - Public Economics - - National Government Expenditures and Related Policies - - - Government Expenditures and Welfare Programs
    • I13 - Health, Education, and Welfare - - Health - - - Health Insurance, Public and Private
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

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