IDEAS home Printed from https://ideas.repec.org/a/spr/hecrev/v4y2014i1p1-1410.1186-s13561-014-0007-5.html
   My bibliography  Save this article

Risk adjustment in aging societies

Author

Listed:
  • Viktor von Wyl
  • Konstantin Beck

Abstract

Taken together, our mathematical modelling framework helps to gain a better understanding of how demographic changes interact with risk adjustment and how redistribution of funds between age groups can be controlled without inducing further selection incentives. Those methods can help to construct more equitable systems of health financing in light of population aging. Copyright von Wyl and Beck; licensee Springer 2014

Suggested Citation

  • Viktor von Wyl & Konstantin Beck, 2014. "Risk adjustment in aging societies," Health Economics Review, Springer, vol. 4(1), pages 1-14, December.
    • Handle: RePEc:spr:hecrev:v:4:y:2014:i:1:p:1-14:10.1186/s13561-014-0007-5
    DOI: 10.1186/s13561-014-0007-5
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1186/s13561-014-0007-5
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1186/s13561-014-0007-5?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 search for a different version of it.

    References listed on IDEAS

    as
    1. Hagist, Christian & Klusen, Norbert & Plate, Andreas & Raffelhüschen, Bernd, 2005. "Social Health Insurance: the major driver of unsustainable fiscal policy?," Discussion Papers 133, Albert-Ludwigs-Universität Freiburg, Institut für Finanzwissenschaft.
    2. Meena Seshamani & Alastair Gray, 2004. "Ageing and health‐care expenditure: the red herring argument revisited," Health Economics, John Wiley & Sons, Ltd., vol. 13(4), pages 303-314, April.
    3. Beck, Konstantin & Spycher, Stefan & Holly, Alberto & Gardiol, Lucien, 2003. "Risk adjustment in Switzerland," Health Policy, Elsevier, vol. 65(1), pages 63-74, July.
    4. Volker Meier & Martin Werding, 2010. "Ageing and the welfare state: securing sustainability," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 26(4), pages 655-673, Winter.
    5. Steinmann Lukas & Telser Harry & Zweifel Peter S., 2007. "Aging and Future Healthcare Expenditure: A Consistent Approach," Forum for Health Economics & Policy, De Gruyter, vol. 10(2), pages 1-28, March.
    6. Alan J. Auerbach & Jagadeesh Gokhale & Laurence J. Kotlikoff, 1994. "Generational Accounting: A Meaningful Way to Evaluate Fiscal Policy," Journal of Economic Perspectives, American Economic Association, vol. 8(1), pages 73-94, Winter.
    7. James W. Vaupel, 2010. "Biodemography of human ageing," Nature, Nature, vol. 464(7288), pages 536-542, March.
    8. Seshamani, Meena & Gray, Alastair M., 2004. "A longitudinal study of the effects of age and time to death on hospital costs," Journal of Health Economics, Elsevier, vol. 23(2), pages 217-235, March.
    9. Paul A. Samuelson, 1958. "An Exact Consumption-Loan Model of Interest with or without the Social Contrivance of Money," Journal of Political Economy, University of Chicago Press, vol. 66(6), pages 467-467.
    10. William Jack, 1998. "Intergenerational Risk Sharing and Health Insurance Financing," The Economic Record, The Economic Society of Australia, vol. 74(225), pages 153-161, June.
    11. 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.
    12. Stefan Felder & Andreas Werblow, 2008. "Does the Age Profile of Health Care Expenditure Really Steepen over Time? New Evidence from Swiss Cantons," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 33(4), pages 710-727, October.
    13. Friedrich Breyer & Joan Costa-Font & Stefan Felder, 2010. "Ageing, health, and health care," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 26(4), pages 674-690, Winter.
    14. Albert Wong & Pieter H. M. van Baal & Hendriek C. Boshuizen & Johan J. Polder, 2011. "Exploring the influence of proximity to death on disease‐specific hospital expenditures: a carpaccio of red herrings," Health Economics, John Wiley & Sons, Ltd., vol. 20(4), pages 379-400, April.
    15. repec:bla:ecorec:v:74:y:1998:i:225:p:153-61 is not listed on IDEAS
    16. Christian Hagist & Norbert Klusen & Andreas Plate & Bernd Raffelhüschen, 2005. "Social Health Insurance - the Major Driver of Unsustainable Fiscal Policy?," CESifo Working Paper Series 1574, CESifo.
    17. 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.
    18. Felder, Stefan & Werblow, Andreas & Zweifel, Peter, 2010. "Do red herrings swim in circles? Controlling for the endogeneity of time to death," Journal of Health Economics, Elsevier, vol. 29(2), pages 205-212, March.
    19. Hagist, Christian & Klusen, Norbert & Plate, Andreas & Raffelhüschen, Bernd, 2005. "Social health insurance: The major driver of unsustainable fiscal policy?," FZG Discussion Papers 1, University of Freiburg, Research Center for Generational Contracts (FZG).
    20. Beck, Konstantin & Trottmann, Maria & Zweifel, Peter, 2010. "Risk adjustment in health insurance and its long-term effectiveness," Journal of Health Economics, Elsevier, vol. 29(4), pages 489-498, July.
    21. McGuire, Thomas G. & Glazer, Jacob & Newhouse, Joseph P. & Normand, Sharon-Lise & Shi, Julie & Sinaiko, Anna D. & Zuvekas, Samuel H., 2013. "Integrating risk adjustment and enrollee premiums in health plan payment," Journal of Health Economics, Elsevier, vol. 32(6), pages 1263-1277.
    22. Felder, Stefan & Werblow, Andreas, 2008. "Do the age profiles of health care expenditure really steepen over time? New evidence from Swiss cantons," Dresden Discussion Paper Series in Economics 05/08, Technische Universität Dresden, Faculty of Business and Economics, Department of Economics.
    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. Jeongseok Song & Doojin Ryu, 2018. "Aging effects on consumption risk-sharing channels in European countries," Zbornik radova Ekonomskog fakulteta u Rijeci/Proceedings of Rijeka Faculty of Economics, University of Rijeka, Faculty of Economics and Business, vol. 36(2), pages 585-617.
    2. Albert Wong & Hendriek Boshuizen & Johan Polder & José António Ferreira, 2017. "Assessing the inequality of lifetime healthcare expenditures: a nearest neighbour resampling approach," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 180(1), pages 141-160, January.

    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. 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. 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.
    3. Melberg, Hans Olav & Sørensen, Jan, 2013. "How does end of life costs and increases in life expectancy affect projections of future hospital spending?," HERO Online Working Paper Series 2013:9, University of Oslo, Health Economics Research Programme.
    4. 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.
    5. repec:ces:ifodic:v:11:y:2013:i:1:p:19078503 is not listed on IDEAS
    6. Vincenzo Atella & Valentina Conti, 2013. "The effect of age and time to death on health care expenditures: the Italian experience," CEIS Research Paper 267, Tor Vergata University, CEIS, revised 12 Nov 2013.
    7. Maciej Lis, 2015. "Red Herring in the Vistula River: Time-to-Death and Health Care Expenditure," IBS Working Papers 13/2015, Instytut Badan Strukturalnych.
    8. Torrini, Irene & Grassetti, Luca & Rizzi, Laura, 2023. "Under-spending, over-spending or substitution among services? Spatial patterns of unexplained shares of health care expenditures," Health Policy, Elsevier, vol. 137(C).
    9. 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.
    10. Kasteridis, Panagiotis & Rice, Nigel & Santos, Rita, 2022. "Heterogeneity in end of life health care expenditure trajectory profiles," Journal of Economic Behavior & Organization, Elsevier, vol. 204(C), pages 221-251.
    11. Joan Costa‐Font & Cristina Vilaplana‐Prieto, 2020. "‘More than one red herring'? Heterogeneous effects of ageing on health care utilisation," Health Economics, John Wiley & Sons, Ltd., vol. 29(S1), pages 8-29, October.
    12. 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.
    13. Breyer Friedrich, 2015. "Demographischer Wandel und Gesundheitsausgaben: Theorie, Empirie und Politikimplikationen," Perspektiven der Wirtschaftspolitik, De Gruyter, vol. 16(3), pages 215-230, October.
    14. Wong, Albert & Wouterse, Bram & Slobbe, Laurentius C.J. & Boshuizen, Hendriek C. & Polder, Johan J., 2012. "Medical innovation and age-specific trends in health care utilization: Findings and implications," Social Science & Medicine, Elsevier, vol. 74(2), pages 263-272.
    15. Atella, Vincenzo & Conti, Valentina, 2014. "The effect of age and time to death on primary care costs: The Italian experience," Social Science & Medicine, Elsevier, vol. 114(C), pages 10-17.
    16. Howdon, Daniel & Rice, Nigel, 2018. "Health care expenditures, age, proximity to death and morbidity: Implications for an ageing population," Journal of Health Economics, Elsevier, vol. 57(C), pages 60-74.
    17. Moore, Patrick V. & Bennett, Kathleen & Normand, Charles, 2017. "Counting the time lived, the time left or illness? Age, proximity to death, morbidity and prescribing expenditures," Social Science & Medicine, Elsevier, vol. 184(C), pages 1-14.
    18. Norton, E.C., 2016. "Health and Long-Term Care," Handbook of the Economics of Population Aging, in: Piggott, John & Woodland, Alan (ed.), Handbook of the Economics of Population Aging, edition 1, volume 1, chapter 0, pages 951-989, Elsevier.
    19. Christophe Kolodziejczyk, 2020. "The effect of time to death on health care expenditures: taking into account the endogeneity and right censoring of time to death," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 21(6), pages 945-962, August.
    20. Stefan Moog & Bernd Raffelhüschen, 2010. "Herausforderungen der Legislaturperiode für die Tragfähigkeit der Renten- und Pflegeversicherung," Vierteljahrshefte zur Wirtschaftsforschung / Quarterly Journal of Economic Research, DIW Berlin, German Institute for Economic Research, vol. 79(1), pages 27-43.
    21. Anna Kollerup & Jakob Kjellberg & Rikke Ibsen, 2022. "Ageing and health care expenditures: the importance of age per se, steepening of the individual-level expenditure curve, and the role of morbidity," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 23(7), pages 1121-1149, September.

    More about this item

    Keywords

    Risk adjustment; Demography; Health insurance; Intergenerational solidarity; I13; J11;
    All these keywords.

    JEL classification:

    • I13 - Health, Education, and Welfare - - Health - - - Health Insurance, Public and Private
    • J11 - Labor and Demographic Economics - - Demographic Economics - - - Demographic Trends, Macroeconomic Effects, and Forecasts

    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:spr:hecrev:v:4:y:2014:i:1:p:1-14:10.1186/s13561-014-0007-5. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com/economics/journal/13561 .

    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.