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Optimal Social Insurance and Health Inequality

Author

Listed:
  • Grossmann Volker

    (University of Fribourg,Fribourg, Switzerland)

  • Strulik Holger

    (University of Goettingen,Göttingen, Germany)

Abstract

This paper integrates into public economics a biologically founded, stochastic process of individual aging. The novel approach enables us to quantitatively characterize the optimal joint design of health and retirement policy behind the veil of ignorance for today and in response to future medical progress. Calibrating our model to Germany, our analysis suggests that the current social insurance policy instruments are set close to the (constrained) socially optimal levels, given proportional contribution rates for health and pension finance, the equivalence principle in the pension system, and a common statutory retirement age. Future progress in medical technology calls for a potentially drastic increase in health spending and a higher retirement age without lowering the pension contribution rate. Interestingly, from an ex ante point of view, medical progress and higher health spending are in conflict with the goal to reduce health inequality.

Suggested Citation

  • Grossmann Volker & Strulik Holger, 2019. "Optimal Social Insurance and Health Inequality," German Economic Review, De Gruyter, vol. 20(4), pages 913-948, December.
  • Handle: RePEc:bpj:germec:v:20:y:2019:i:4:p:e913-e948
    DOI: 10.1111/geer.12198
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    Cited by:

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    2. Giorgio Fabbri & Marie-Louise Leroux & Paolo Melindi-Ghidi & Willem Sas, 2024. "Conditioning public pensions on health: effects on capital accumulation and welfare," Journal of Population Economics, Springer;European Society for Population Economics, vol. 37(2), pages 1-21, June.
    3. Volker Grossmann & Johannes Schünemann & Holger Strulik, 2024. "Fair Pension Policies with Occupation-Specific Ageing," The Economic Journal, Royal Economic Society, vol. 134(663), pages 2835-2875.
    4. 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).
    5. Schünemann, Johannes & Strulik, Holger & Trimborn, Timo, 2017. "The gender gap in mortality: How much is explained by behavior?," Journal of Health Economics, Elsevier, vol. 54(C), pages 79-90.
    6. Trimborn, Timo & Schünemann, Johannes & Strulik, Holger, 2016. "Disentangling the Gender Gap in Longevity," VfS Annual Conference 2016 (Augsburg): Demographic Change 145570, Verein für Socialpolitik / German Economic Association.
    7. Ursina Kuhn, 2020. "Augmented wealth in Switzerland: the influence of pension wealth on wealth inequality," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 156(1), pages 1-16, December.
    8. Böhm, Sebastian & Grossmann, Volker & Strulik, Holger, 2021. "R&D-driven medical progress, health care costs, and the future of human longevity," The Journal of the Economics of Ageing, Elsevier, vol. 18(C).
    9. Strulik, Holger, 2022. "A health economic theory of occupational choice, aging, and longevity," Journal of Health Economics, Elsevier, vol. 82(C).
    10. Strulik, Holger, 2022. "Medical progress and life cycle choices," The Journal of the Economics of Ageing, Elsevier, vol. 23(C).
    11. Kelly, Mark & Kuhn, Michael, 2022. "Congestion in a public health service: A macro approach," Journal of Macroeconomics, Elsevier, vol. 74(C).

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    More about this item

    Keywords

    Aging; health expenditure; health inequality; social security system; retirement age;
    All these keywords.

    JEL classification:

    • H50 - Public Economics - - National Government Expenditures and Related Policies - - - General
    • I10 - Health, Education, and Welfare - - Health - - - General
    • C60 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - General

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