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On the Anatomy of Medical Progress Within an Overlapping Generations Economy

Author

Listed:
  • Ivan Frankovic

    (Vienna Institute of Demography)

  • Michael Kuhn

    (Vienna Institute of Demography)

  • Stefan Wrzaczek

    (Vienna Institute of Demography)

Abstract

We study medical progress within a two-sector economy of overlapping generations subject to endogenous mortality. Individuals demand health care with a view to lowering mortality over their life-cycle. We characterise the individual optimum and the general equilibrium, and study the impact of a major medical innovation leading to an improvement in the effectiveness of health care. We find that general equilibrium effects dampen strongly the increase in health care usage following medical innovation. Moreover, an increase in savings offsets the negative impact on GDP per capita of a decline in the support ratio. Finally, we show that the reallocation of resources between the final goods and health care sector, following the innovation, plays a crucial role in shaping the general equilibrium impact.

Suggested Citation

  • Ivan Frankovic & Michael Kuhn & Stefan Wrzaczek, 2020. "On the Anatomy of Medical Progress Within an Overlapping Generations Economy," De Economist, Springer, vol. 168(2), pages 215-257, June.
    • Handle: RePEc:kap:decono:v:168:y:2020:i:2:d:10.1007_s10645-020-09360-3
    DOI: 10.1007/s10645-020-09360-3
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    Cited by:

    1. Kuhn, Michael & Minniti, Antonio & Prettner, Klaus & Venturini, Francesco, 2023. "Medical innovation, life expectancy, and economic growth," Department of Economics Working Paper Series 342, WU Vienna University of Economics and Business.
    2. David E. Bloom & Michael Kuhn & Klaus Prettner, 2022. "Modern Infectious Diseases: Macroeconomic Impacts and Policy Responses," Journal of Economic Literature, American Economic Association, vol. 60(1), pages 85-131, March.
    3. Frankovic, Ivan & Kuhn, Michael, 2023. "Health insurance, endogenous medical progress, health expenditure growth, and welfare," Journal of Health Economics, Elsevier, vol. 87(C).
    4. Feichtinger, Gustav & Wrzaczek, Stefan, 2024. "The optimal momentum of population growth and decline," Theoretical Population Biology, Elsevier, vol. 155(C), pages 51-66.
    5. Ben J. Heijdra & Klaus Prettner, 2020. "Putting People Back into the Picture: Some Studies in Demographic Economics," De Economist, Springer, vol. 168(2), pages 147-152, June.
    6. Frankovic, Ivan & Kuhn, Michael & Wrzaczek, Stefan, 2020. "Medical innovation and its diffusion: Implications for economic performance and welfare," Journal of Macroeconomics, Elsevier, vol. 66(C).
    7. 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

    Life-cycle model; Longevity; Health care; Medical innovation; Overlapping generations; Value of life;
    All these keywords.

    JEL classification:

    • D15 - Microeconomics - - Household Behavior - - - Intertemporal Household Choice; Life Cycle Models and Saving
    • I11 - Health, Education, and Welfare - - Health - - - Analysis of Health Care Markets
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • J11 - Labor and Demographic Economics - - Demographic Economics - - - Demographic Trends, Macroeconomic Effects, and Forecasts
    • J17 - Labor and Demographic Economics - - Demographic Economics - - - Value of Life; Foregone Income
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O41 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - One, Two, and Multisector Growth Models

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