IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/104737.html
   My bibliography  Save this paper

Healthcare expenditure projections up to 2045

Author

Listed:
  • Braendle, Thomas
  • Colombier, Carsten

Abstract

These projections show that demographic change will have a significant impact on the dynamism of healthcare expenditure. The effect of an ageing population is most significant in the area of long-term care. For healthcare excluding long-term care, non-demographic cost drivers – such as the Baumol effect and determinants captured indirectly by income elasticity such as advances in medical technology and market failures as a result of asymmetric information – are likewise very significant. As the key player in this area, (acting not just as regulator, but also as a source of financing and service provider), it is the cantons that will have to bear the main burden of rising healthcare expenditure. In addition, the public sector will be more heavily affected by an ageing population than OKP, as the general government sector spends a greater proportion of its funds on long-term care than OKP. The projections provide the following pointers for the orientation of healthcare policy. On the one hand, measures should be promoted that sustainably alleviate the illness burden on the population, particularly in the case of chronic conditions, thereby facilitating healthy ageing. The focus here should be on strengthening healthcare skills and promoting healthy lifestyles by means of adequate preventive measures. On the other hand, existing efficiency reserves need to be better exploited by avoiding unnecessary treatments, incorporating cost-benefit considerations more strongly into the design of the OKP service catalogue (health technology assessment), and ensuring that the increasing productivity of medical services is appropriately reflected in the corresponding prices and tariffs. While the new DRG flat-rate payments per case should contribute to reducing misplaced incentives and strengthening competition in the inpatient area, the obsolete fee-for-service remuneration system in the outpatient area generally contains an oversupply incentive, particularly in the case of technical services. A strengthening of Spitex and the improved compatibility of professional life and family-based care would also help to reduce the length of the average care home stay. Finally, the next two decades will see an increase in demand for healthcare and nursing care staff, which will make forward-looking personnel planning and an improvement of working processes more necessary than ever.

Suggested Citation

  • Braendle, Thomas & Colombier, Carsten, 2017. "Healthcare expenditure projections up to 2045," MPRA Paper 104737, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:104737
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/104737/1/MPRA_paper_104737.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Hartwig, Jochen, 2008. "What drives health care expenditure?--Baumol's model of 'unbalanced growth' revisited," Journal of Health Economics, Elsevier, vol. 27(3), pages 603-623, May.
    2. Fredrik Gregersen, 2014. "The impact of ageing on health care expenditures: a study of steepening," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 15(9), pages 979-989, December.
    3. Daron Acemoglu & Amy Finkelstein & Matthew J. Notowidigdo, 2013. "Income and Health Spending: Evidence from Oil Price Shocks," The Review of Economics and Statistics, MIT Press, vol. 95(4), pages 1079-1095, October.
    4. Braendle, Thomas & Colombier, Carsten, 2016. "What drives public health care expenditure growth? Evidence from Swiss cantons, 1970–2012," Health Policy, Elsevier, vol. 120(9), pages 1051-1060.
    5. Christine de la Maisonneuve & Joaquim Oliveira Martins, 2014. "The future of health and long-term care spending," OECD Journal: Economic Studies, OECD Publishing, vol. 2014(1), pages 61-96.
    6. Baltagi, Badi H. & Moscone, Francesco, 2010. "Health care expenditure and income in the OECD reconsidered: Evidence from panel data," Economic Modelling, Elsevier, vol. 27(4), pages 804-811, July.
    7. F. Moscone & E. Tosetti, 2010. "Health expenditure and income in the United States," Health Economics, John Wiley & Sons, Ltd., vol. 19(12), pages 1385-1403, December.
    8. Mr. Peter S. Heller, 2007. "What Should Macroeconomists Know about Health Care Policy?," IMF Working Papers 2007/013, International Monetary Fund.
    9. Breyer, Friedrich & Felder, Stefan, 2006. "Life expectancy and health care expenditures: A new calculation for Germany using the costs of dying," Health Policy, Elsevier, vol. 75(2), pages 178-186, January.
    10. Friedrich Breyer & Normann Lorenz & Thomas Niebel, 2015. "Health care expenditures and longevity: is there a Eubie Blake effect?," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 16(1), pages 95-112, January.
    11. Joan Costa‐Font & Marin Gemmill & Gloria Rubert, 2011. "Biases in the healthcare luxury good hypothesis?: a meta‐regression analysis," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 174(1), pages 95-107, January.
    12. Stefan Felder, 2013. "The Impact of Demographic Change on Healthcare Expenditure," ifo DICE Report, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 11(1), pages 03-06, 04.
    13. Oliver Reich & Cornelia Weins & Claudia Schusterschitz & Magdalena Thöni, 2012. "Exploring the disparities of regional health care expenditures in Switzerland: some empirical evidence," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 13(2), pages 193-202, April.
    14. Stefan Felder, 2013. "The Impact of Demographic Change on Healthcare Expenditure," ifo DICE Report, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 11(01), pages 03-06, April.
    15. Sally C. Stearns & Edward C. Norton, 2004. "Time to include time to death? The future of health care expenditure predictions," Health Economics, John Wiley & Sons, Ltd., vol. 13(4), pages 315-327, April.
    16. Peter Zweifel & Stefan Felder & Markus Meiers, 1999. "Ageing of population and health care expenditure: a red herring?," Health Economics, John Wiley & Sons, Ltd., vol. 8(6), pages 485-496, September.
    17. Gerdtham, Ulf-G. & Jonsson, Bengt, 2000. "International comparisons of health expenditure: Theory, data and econometric analysis," Handbook of Health Economics, in: A. J. Culyer & J. P. Newhouse (ed.), Handbook of Health Economics, edition 1, volume 1, chapter 1, pages 11-53, Elsevier.
    18. Vatter, Adrian & Rüefli, Christian, 2003. "Do Political Factors Matter for Health Care Expenditure? A Comparative Study of Swiss Cantons," Journal of Public Policy, Cambridge University Press, vol. 23(3), pages 301-323, September.
    19. Polder, Johan J. & Barendregt, Jan J. & van Oers, Hans, 2006. "Health care costs in the last year of life--The Dutch experience," Social Science & Medicine, Elsevier, vol. 63(7), pages 1720-1731, October.
    20. João Medeiros & Christoph Schwierz, 2013. "Estimating the drivers and projecting long-term public health expenditure in the European Union: Baumol's "cost disease" revisited," European Economy - Economic Papers 2008 - 2015 507, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    21. repec:ces:ifodic:v:11:y:2013:i:1:p:19078503 is not listed on IDEAS
    22. Bates, Laurie J. & Santerre, Rexford E., 2013. "Does the U.S. health care sector suffer from Baumol's cost disease? Evidence from the 50 states," Journal of Health Economics, Elsevier, vol. 32(2), pages 386-391.
    23. Luca Crivelli & Massimo Filippini & Ilaria Mosca, 2006. "Federalism and regional health care expenditures: an empirical analysis for the Swiss cantons," Health Economics, John Wiley & Sons, Ltd., vol. 15(5), pages 535-541, May.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Carsten Colombier & Thomas Braendle, 2018. "Healthcare expenditure and fiscal sustainability: evidence from Switzerland," Public Sector Economics, Institute of Public Finance, vol. 42(3), pages 279-301.
    2. Carla Rowold & Joan E. Madia, 2024. "Demographic transitions and lifestyle factors: quantifying the burden of smoking-attributable diseases on Germany's healthcare system," MPIDR Working Papers WP-2024-036, Max Planck Institute for Demographic Research, Rostock, Germany.
    3. Colombier, Carsten & Braendle, Thomas, 2022. "Healthcare expenditure projections up to 2050: ageing and the COVID-19 crisis," MPRA Paper 120659, University Library of Munich, Germany.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Colombier, Carsten & Braendle, Thomas, 2022. "Healthcare expenditure projections up to 2050: ageing and the COVID-19 crisis," MPRA Paper 120659, University Library of Munich, Germany.
    2. Carsten Colombier & Thomas Braendle, 2018. "Healthcare expenditure and fiscal sustainability: evidence from Switzerland," Public Sector Economics, Institute of Public Finance, vol. 42(3), pages 279-301.
    3. 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.
    4. Mehdi Barati & Hadiseh Fariditavana, 2020. "Asymmetric effect of income on the US healthcare expenditure: evidence from the nonlinear autoregressive distributed lag (ARDL) approach," Empirical Economics, Springer, vol. 58(4), pages 1979-2008, April.
    5. Badi H. Baltagi & Raffaele Lagravinese & Francesco Moscone & Elisa Tosetti, 2017. "Health Care Expenditure and Income: A Global Perspective," Health Economics, John Wiley & Sons, Ltd., vol. 26(7), pages 863-874, July.
    6. Braendle, Thomas & Colombier, Carsten, 2016. "What drives public health care expenditure growth? Evidence from Swiss cantons, 1970–2012," Health Policy, Elsevier, vol. 120(9), pages 1051-1060.
    7. Keegan, Conor & Brick, Aoife & Bergin, Adele & Wren, Maev-Ann & Whyte, Richard & Henry, Edward, 2020. "Projections of expenditure for public hospitals in Ireland, 2018–2035, based on the Hippocrates Model," Research Series, Economic and Social Research Institute (ESRI), number RS117.
    8. Vitor Castro, 2017. "Pure, White and Deadly… Expensive: A Bitter Sweetness in Health Care Expenditure," Health Economics, John Wiley & Sons, Ltd., vol. 26(12), pages 1644-1666, December.
    9. Carsten Colombier, 2018. "Population ageing in healthcare – a minor issue? Evidence from Switzerland," Applied Economics, Taylor & Francis Journals, vol. 50(15), pages 1746-1760, March.
    10. Vasudeva N. R. Murthy & Natalya Ketenci, 2017. "Is technology still a major driver of health expenditure in the United States? Evidence from cointegration analysis with multiple structural breaks," International Journal of Health Economics and Management, Springer, vol. 17(1), pages 29-50, March.
    11. Héctor Bellido & Lorena Olmos & Juan Antonio Román-Aso, 2019. "Do political factors influence public health expenditures? Evidence pre- and post-great recession," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 20(3), pages 455-474, April.
    12. Eggli, Yves & Stadelmann, Pierre & Piaget-Rossel, Romain & Marti, Joachim, 2019. "Heterogeneity in The drivers of health expenditures financed by health insurance in a fragmented health system: The case of Switzerland," Health Policy, Elsevier, vol. 123(12), pages 1275-1281.
    13. Caravaggio, Nicola & Resce, Giuliano, 2023. "Enhancing Healthcare Cost Forecasting: A Machine Learning Model for Resource Allocation in Heterogeneous Regions," Economics & Statistics Discussion Papers esdp23090, University of Molise, Department of Economics.
    14. Breyer Friedrich, 2015. "Demographischer Wandel und Gesundheitsausgaben: Theorie, Empirie und Politikimplikationen," Perspektiven der Wirtschaftspolitik, De Gruyter, vol. 16(3), pages 215-230, October.
    15. Felipa de Mello-Sampayo & Sofia de Sousa-Vale, 2014. "Financing Health Care Expenditure in the OECD Countries: Evidence from a Heterogeneous, Cross-Sectional Dependent Panel," Panoeconomicus, Savez ekonomista Vojvodine, Novi Sad, Serbia, vol. 61(2), pages 207-225, March.
    16. Felipa de Mello-Sampayo & Sofia de Sousa-Vale, 2014. "Financing Health Care Expenditure in the OECD Countries: Evidence from a Heterogeneous, Cross-Sectional Dependent Panel," Panoeconomicus, Savez ekonomista Vojvodine, Novi Sad, Serbia, vol. 61(2), pages 207-225.
    17. Isabel Casas & Jiti Gao & Bin Peng & Shangyu Xie, 2021. "Time‐varying income elasticities of healthcare expenditure for the OECD and Eurozone," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(3), pages 328-345, April.
    18. Murthy, Vasudeva N.R. & Okunade, Albert A., 2016. "Determinants of U.S. health expenditure: Evidence from autoregressive distributed lag (ARDL) approach to cointegration," Economic Modelling, Elsevier, vol. 59(C), pages 67-73.
    19. Colombier, Carsten & Weber, Werner, 2009. "Projecting health-care expenditure for Switzerland: further evidence against the 'red-herring' hypothesis," MPRA Paper 26712, University Library of Munich, Germany, revised Jun 2010.
    20. Akinwande A. Atanda & Andrea K. Menclova & W. Robert Reed, 2016. "Is Health Care Infected by Baumol’s Cost Disease? Test of a New Model Using an OECD Dataset," Working Papers in Economics 16/04, University of Canterbury, Department of Economics and Finance.

    More about this item

    Keywords

    healthcare expenditure; long-term care expenditure; population ageing; fiscal sustainability; mandatory health insurance (OKP); public HCE; Baumol's cost disease; medical-technical progress; income effect;
    All these keywords.

    JEL classification:

    • H51 - Public Economics - - National Government Expenditures and Related Policies - - - Government Expenditures and Health
    • I13 - Health, Education, and Welfare - - Health - - - Health Insurance, Public and Private
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

    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:pra:mprapa:104737. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    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.