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The “red herring” after 20 years: ageing and health care expenditures

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  • Friedrich Breyer

    (University of Konstanz)

  • Normann Lorenz

    (University of Trier)

Abstract

20 years ago, Zweifel, Felder and Meier (1999) established the by now famous “red-herring” hypothesis, according to which population ageing does not lead to an increase in per capita health care expenditures (HCE) because the observed positive correlation between age and health care expenditures (HCE) in cross-sectional data is exclusively due to the facts that mortality rises with age and a large share of HCE is caused by proximity to death. This hypothesis has spurned a large and still growing literature on the causes and consequences of growing HCE in OECD countries, but the results of empirical studies have been rather mixed. In light of the imminent population ageing in many of these countries it is still being discussed whether unfunded social health insurance systems will be sustainable, in particular as long as they promise to provide universal and unlimited access to medical care including the latest advances. In this paper, we present a critical survey of the empirical literature of the past 20 years on this topic and draw some preliminary conclusions regarding the policy question mentioned above. In doing so we distinguish four different versions of the red herring hypothesis and derive the logical connections between them. This will help to understand what empirical findings are suitable to derive predictions on the future sustainability of HCE.
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  • Friedrich Breyer & Normann Lorenz, 2021. "The “red herring” after 20 years: ageing and health care expenditures," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 22(5), pages 661-667, July.
  • Handle: RePEc:spr:eujhec:v:22:y:2021:i:5:d:10.1007_s10198-020-01203-x
    DOI: 10.1007/s10198-020-01203-x
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    Cited by:

    1. Breyer, Friedrich & Lorenz, Normann & Ihle, Peter, 2020. "Aging and Health Care Expenditure: A non-parametric approach," VfS Annual Conference 2020 (Virtual Conference): Gender Economics 224635, Verein für Socialpolitik / German Economic Association.
    2. Hamraz Mokri & Ingelin Kvamme & Linda Vries & Matthijs Versteegh & Pieter Baal, 2023. "Future medical and non-medical costs and their impact on the cost-effectiveness of life-prolonging interventions: a comparison of five European countries," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 24(5), pages 701-715, July.
    3. Mauro Laudicella & Paolo Li Donni & Kim Rose Olsen & Dorte Gyrd‐Hansen, 2022. "Age, morbidity, or something else? A residual approach using microdata to measure the impact of technological progress on health care expenditure," Health Economics, John Wiley & Sons, Ltd., vol. 31(6), pages 1184-1201, June.
    4. Werding, Martin & Läpple, Benjamin, 2020. "Finanzrisiken für den Bund durch die demographische Entwicklung in der Sozialversicherung [Financial risks for the Federal budget through the impact of demographic ageing on social insurance system," FiFo Reports - FiFo-Berichte 29, University of Cologne, FiFo Institute for Public Economics.

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    Keywords

    H51; J14; I10;
    All these keywords.

    JEL classification:

    • H51 - Public Economics - - National Government Expenditures and Related Policies - - - Government Expenditures and Health
    • J11 - Labor and Demographic Economics - - Demographic Economics - - - Demographic Trends, Macroeconomic Effects, and Forecasts
    • I19 - Health, Education, and Welfare - - Health - - - Other

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