IDEAS home Printed from https://ideas.repec.org/a/taf/applec/v50y2018i15p1746-1760.html
   My bibliography  Save this article

Population ageing in healthcare – a minor issue? Evidence from Switzerland

Author

Listed:
  • Carsten Colombier

Abstract

Our study shows that population ageing is a relevant determinant of healthcare expenditure (HCE). This conclusion supports the popular, but recently strongly contested, view that the coming population ageing will threaten the fiscal sustainability of health systems. We contribute to this debate, first by estimating the determinants of Swiss HCE with outlier-robust dynamic regressions, and second, by projecting Swiss HCE based on the estimates produced and new population scenarios. Medical advances and GDP per capita also play a decisive role. Governments can mitigate HCE growth by improving the health status of the population and by stimulating cost-effective and productive medical advances.

Suggested Citation

  • 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.
    • Handle: RePEc:taf:applec:v:50:y:2018:i:15:p:1746-1760
    DOI: 10.1080/00036846.2017.1374538
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00036846.2017.1374538
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/00036846.2017.1374538?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    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. Kamil Dybczak & Bartosz Przywara, 2010. "The role of technology in health care expenditure in the EU," European Economy - Economic Papers 2008 - 2015 400, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    3. 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.
    4. Andreas Werblow & Stefan Felder & Peter Zweifel, 2007. "Population ageing and health care expenditure: a school of ‘red herrings’?," Health Economics, John Wiley & Sons, Ltd., vol. 16(10), pages 1109-1126, October.
    5. Gerdtham, Ulf-G. & Lothgren, Mickael, 2000. "On stationarity and cointegration of international health expenditure and GDP," Journal of Health Economics, Elsevier, vol. 19(4), pages 461-475, July.
    6. Okunade, Albert A. & Murthy, Vasudeva N. R., 2002. "Technology as a 'major driver' of health care costs: a cointegration analysis of the Newhouse conjecture," Journal of Health Economics, Elsevier, vol. 21(1), pages 147-159, January.
    7. M. Hashem Pesaran & Yongcheol Shin & Richard J. Smith, 2001. "Bounds testing approaches to the analysis of level relationships," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(3), pages 289-326.
    8. Thompson, Samuel B., 2004. "Robust Tests Of The Unit Root Hypothesis Should Not Be “Modified”," Econometric Theory, Cambridge University Press, vol. 20(2), pages 360-381, April.
    9. Dreger, C. & Reimers, H.E., 2005. "Health Care Expenditures in OECD Countries: A Panel Unit Root and Cointegration Analysis," International Journal of Applied Econometrics and Quantitative Studies, Euro-American Association of Economic Development, vol. 2(2), pages 5-20.
    10. Mr. Peter S. Heller, 2007. "What Should Macroeconomists Know about Health Care Policy?," IMF Working Papers 2007/013, International Monetary Fund.
    11. 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.
    12. Paresh Kumar Narayan, 2005. "The saving and investment nexus for China: evidence from cointegration tests," Applied Economics, Taylor & Francis Journals, vol. 37(17), pages 1979-1990.
    13. Colombier, Carsten, 2012. "Drivers of health care expenditure: Does Baumol's cost disease loom large?," FiFo Discussion Papers - Finanzwissenschaftliche Diskussionsbeiträge 12-5, University of Cologne, FiFo Institute for Public Economics.
    14. Office of Health Economics, 2007. "The Economics of Health Care," For School 001490, Office of Health Economics.
    15. repec:dau:papers:123456789/3881 is not listed on IDEAS
    16. Mickael Bech & Terkel Christiansen & Ehsan Khoman & Jørgen Lauridsen & Martin Weale, 2011. "Ageing and health care expenditure in EU-15," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 12(5), pages 469-478, October.
    17. Brigitte Dormont & Michel Grignon & Hélène Huber, 2006. "Health expenditure growth: reassessing the threat of ageing," Health Economics, John Wiley & Sons, Ltd., vol. 15(9), pages 947-963, September.
    18. Amitabh Chandra & Jonathan Skinner, 2012. "Technology Growth and Expenditure Growth in Health Care," Journal of Economic Literature, American Economic Association, vol. 50(3), pages 645-680, September.
    19. Colombier, Carsten & Weber, Werner, 2009. "Projecting health-care expenditure for Switzerland: further evidence against the 'red-herring' hypothesis," MPRA Paper 26747, University Library of Munich, Germany, revised Nov 2009.
    20. W. M. T. Westerhout, 2006. "Does Ageing Call for a Reform of the Health Care Sector?," CESifo Economic Studies, CESifo Group, vol. 52(1), pages 1-31, March.
    21. Di Matteo, Livio, 2005. "The macro determinants of health expenditure in the United States and Canada: assessing the impact of income, age distribution and time," Health Policy, Elsevier, vol. 71(1), pages 23-42, January.
    22. Mr. William C. Hsiao, 2000. "What Should Macroeconomists Know About Health Care Policy: A Primer," IMF Working Papers 2000/136, International Monetary Fund.
    23. Temple, Jonathan, 2000. "Growth Regressions and What the Textbooks Don't Tell You," Bulletin of Economic Research, Wiley Blackwell, vol. 52(3), pages 181-205, July.
    24. 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.
    25. Joseph P. Newhouse, 1992. "Medical Care Costs: How Much Welfare Loss?," Journal of Economic Perspectives, American Economic Association, vol. 6(3), pages 3-21, Summer.
    26. Cantoni, Eva & Ronchetti, Elvezio, 2006. "A robust approach for skewed and heavy-tailed outcomes in the analysis of health care expenditures," Journal of Health Economics, Elsevier, vol. 25(2), pages 198-213, March.
    27. Saikkonen, Pentti, 1991. "Asymptotically Efficient Estimation of Cointegration Regressions," Econometric Theory, Cambridge University Press, vol. 7(1), pages 1-21, March.
    28. C. Colombier, 2009. "Growth effects of fiscal policies: an application of robust modified M-estimator," Applied Economics, Taylor & Francis Journals, vol. 41(7), pages 899-912.
    29. 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. 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.
    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. Michael Stucki, 2021. "Factors related to the change in Swiss inpatient costs by disease: a 6-factor decomposition," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 22(2), pages 195-221, March.
    4. Arata, Linda & Fabrizi, Enrico & Sckokai, Paolo, 2020. "A worldwide analysis of trend in crop yields and yield variability: Evidence from FAO data," Economic Modelling, Elsevier, vol. 90(C), pages 190-208.
    5. Santos, João Vasco & Martins, Filipa Santos & Pestana, Joana & Souza, Júlio & Freitas, Alberto & Cylus, Jonathan, 2023. "Should we adjust health expenditure for age structure on health systems efficiency? A worldwide analysis," LSE Research Online Documents on Economics 118298, London School of Economics and Political Science, LSE Library.
    6. 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.
    7. Viktor von Wyl, 2019. "Proximity to death and health care expenditure increase revisited: A 15-year panel analysis of elderly persons," Health Economics Review, Springer, vol. 9(1), pages 1-16, December.

    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, 2012. "Healthcare expenditure projections up to 2060," MPRA Paper 104919, 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. Fabio Pammolli & Francesco Porcelli & Francesco Vidoli & Monica Auteri & Guido Borà, 2017. "La spesa sanitaria delle Regioni in Italia - Saniregio2017," Working Papers CERM 01-2017, Competitività, Regole, Mercati (CERM).
    4. 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.
    5. 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.
    6. 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.
    7. Maciej Lis, 2016. "Age or time-to-death – what drives health care expenditures? Panel data evidence from the OECD countries," IBS Working Papers 04/2016, Instytut Badan Strukturalnych.
    8. Thomas Barnay & Olivier Damette, 2012. "What drives Health Care Expenditure in France since 1950? A time-series study with structural breaks and nonlinearity approaches," Working Papers halshs-00856117, HAL.
    9. 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.
    10. Michel Dumont & Peter Willemé, 2013. "Working Paper 02-13 - Machines that go ‘ping’: medical technology and health expenditures in OECD countries," Working Papers 1302, Federal Planning Bureau, Belgium.
    11. 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.
    12. Colombier, Carsten, 2012. "Drivers of health care expenditure: Does Baumol's cost disease loom large?," FiFo Discussion Papers - Finanzwissenschaftliche Diskussionsbeiträge 12-5, University of Cologne, FiFo Institute for Public Economics.
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. Oliver Fritz & Peter Mayerhofer & Reinhard Haller & Gerhard Streicher & Florian Bachner & Herwig Ostermann, 2013. "Die regionalwirtschaftlichen Effekte der österreichischen Krankenanstalten," WIFO Studies, WIFO, number 46672.
    19. 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.
    20. Maciej Lis, 2015. "Red Herring in the Vistula River: Time-to-Death and Health Care Expenditure," IBS Working Papers 13/2015, Instytut Badan Strukturalnych.

    More about this item

    JEL classification:

    • H51 - Public Economics - - National Government Expenditures and Related Policies - - - Government Expenditures and Health
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

    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:taf:applec:v:50:y:2018:i:15:p:1746-1760. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RAEC20 .

    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.