IDEAS home Printed from https://ideas.repec.org/p/eag/rereps/13.html
   My bibliography  Save this paper

Technological Advance and the Growth in Health Care Spending

Author

Abstract

The second half of the twentieth century recorded a rapid growth in health care spending and a significant increase in life expectancy. This paper hypothesizes that the combination of techno-logical progress in medical treatment and rising incomes is the driving force behind these two trends. Using a stochastic, multi-period overlapping-generations model as the analytical vehicle, this paper argues that the rapid growth in medical spending is not driven by factors associated with market structures or insurance opportunities, but instead by factors underlying the production and accumulation of health. According to this model, improvements in medical treatment and rising incomes can explain all of the increase in medical spending and more than 60% of the increase in life expectancy at age 25 during the second half of the twentieth century.

Suggested Citation

  • Richard M. H. Suen, 2005. "Technological Advance and the Growth in Health Care Spending," Economie d'Avant Garde Research Reports 13, Economie d'Avant Garde.
    • Handle: RePEc:eag:rereps:13
    as

    Download full text from publisher

    File URL: http://www.richardsuen.net/files/Tech_HCS.pdf
    File Function: full text
    Download Restriction: None
    ---><---

    Citations

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


    Cited by:

    1. Yonghong An & Kai Zhao & Rong Zhou, 2016. "Health spending and public pension: evidence from panel data," Applied Economics, Taylor & Francis Journals, vol. 48(11), pages 987-1004, March.
    2. Juergen Jung & Chung Tran, 2016. "Market Inefficiency, Insurance Mandate and Welfare: U.S. Health Care Reform 2010," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 20, pages 132-159, April.
    3. Raquel Fonseca & Pierre-Carl Michaud & Titus Galama & Arie Kapteyn, 2021. "Accounting for the Rise of Health Spending and Longevity," Journal of the European Economic Association, European Economic Association, vol. 19(1), pages 536-579.
    4. Jung, Juergen & Tran, Chung, 2022. "Social health insurance: A quantitative exploration," Journal of Economic Dynamics and Control, Elsevier, vol. 139(C).
    5. Juergen Jung & Chung Tran, 2008. "The Macroeconomics of Health Savings Accounts," CAEPR Working Papers 2007-023, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
    6. Jung, Juergen & Tran, Chung & Chambers, Matthew, 2017. "Aging and health financing in the U.S.: A general equilibrium analysis," European Economic Review, Elsevier, vol. 100(C), pages 428-462.
    7. Tanguy Le Fur & Alain Trannoy, 2024. "The Health-Maximizing Level of Labor Supply: A Macroeconomic Perspective on the American Health Puzzle," AMSE Working Papers 2419, Aix-Marseille School of Economics, France.
    8. Zhigang Feng, 2009. "Macroeconomic Consequences of Alternative Reforms to the Health Insurance System in the U.S," Working Papers 0908, University of Miami, Department of Economics.

    More about this item

    Keywords

    Technological progress; life expectancy; medical spending; health;
    All these keywords.

    JEL classification:

    • E13 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Neoclassical
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • O11 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Macroeconomic Analyses of Economic Development
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eag:rereps:13. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Jeremy Greenwood (email available below). General contact details of provider: http://www.jeremygreenwood.net/EAG.htm .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.