IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this paper or follow this series

Health Care Expenditures and Longevity: Is there a Eubie Blake Effect?

  • Friedrich Breyer
  • Normann Lorenz
  • Thomas Niebel

It is still an open question whether increasing life expectancy as such is causing higher health care expenditures (HCE). According to the “red-herring”-hypothesis, the positive correlation between age and HCE is exclusively due to the fact that mortality rises with age and a large share of HCE is caused by proximity to death. As a consequence, rising longevity – through falling mortality rates – may even reduce HCE. However, a weakness of previous empirical studies is that they use cross-sectional evidence to make inferences on a development over time. In this paper we try to isolate the impact of rising longevity on the trend of HCE over time by using data for a pseudo-panel of German sickness fund members over the period 1997-2009. Using dynamic panel data models, we find that age, mortality rate and five-year survival rates have a positive impact on per-capita HCE. Our explanation for the last finding is that physicians treat patients more aggressively if they think the result will pay off for a longer time span, which we call “Eubie Blake effect”. A simulation on the basis of an official population forecast for Germany is used to isolate the effect of demographic ageing on real per-capita HCE over the next decades.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://www.uni-trier.de/fileadmin/fb4/prof/VWL/EWF/Research_Papers/2012-01.pdf
File Function: First version, 2012
Download Restriction: no

Paper provided by University of Trier, Department of Economics in its series Research Papers in Economics with number 2012-01.

as
in new window

Length: 22 pages
Date of creation: 2012
Date of revision:
Handle: RePEc:trr:wpaper:201201
Contact details of provider: Postal: B IV, VWL, D-54286 Trier
Phone: +49 (0) 651 201-2739
Fax: +49 (0) 651 201-3934
Web page: http://www.uni-trier.de/index.php?id=2118
More information through EDIRC

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

as in new window
  1. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
  2. Hanming Fang & Michael Keane & Ahmed Khwaja & Martin Salm & Dan Silverman, 2007. "Testing the Mechanisms of Structural Models: The Case of the Mickey Mantle Effect," American Economic Review, American Economic Association, vol. 97(2), pages 53-59, May.
  3. 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.
  4. Christian Hagist & Laurence Kotlikoff, 2005. "Who's Going Broke? Comparing Growth in Healthcare Costs in Ten OECD Countries," NBER Working Papers 11833, National Bureau of Economic Research, Inc.
  5. Peter Zweifel & Stefan Felder & Andreas Werblow, 2004. "Population Ageing and Health Care Expenditure: New Evidence on the "Red Herring"," The Geneva Papers on Risk and Insurance, The International Association for the Study of Insurance Economics, vol. 29(4), pages 652-666, October.
  6. Tim Miller, 2001. "Increasing longevity and medicare expenditures," Demography, Springer, vol. 38(2), pages 215-226, May.
  7. Baoping Shang & Dana Goldman, 2008. "Does age or life expectancy better predict health care expenditures?," Health Economics, John Wiley & Sons, Ltd., vol. 17(4), pages 487-501.
  8. Richard Blundell & Steve Bond, 1995. "Initial conditions and moment restrictions in dynamic panel data models," IFS Working Papers W95/17, Institute for Fiscal Studies.
  9. 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.
  10. Friedrich Breyer & Stefan Hupfeld, 2009. "Fairness of Public Pensions and Old-Age Poverty," FinanzArchiv: Public Finance Analysis, Mohr Siebeck, Tübingen, vol. 65(3), pages 358-380, September.
  11. 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, vol. 12(5), pages 469-478, October.
  12. Laurence J. Kotlikoff & Christian Hagist, 2005. "Who’s Going Broke? Comparing Growth in Healthcare Costs in Ten OECD Countries," Working Papers id:286, eSocialSciences.
  13. Hans-Martin von Gaudecker & Rembrandt D. Scholz, 2007. "Differential mortality by lifetime earnings in Germany," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 17(4), pages 83-108, August.
  14. Harris, Richard D. F. & Tzavalis, Elias, 1999. "Inference for unit roots in dynamic panels where the time dimension is fixed," Journal of Econometrics, Elsevier, vol. 91(2), pages 201-226, August.
  15. Deaton, Angus, 1985. "Panel data from time series of cross-sections," Journal of Econometrics, Elsevier, vol. 30(1-2), pages 109-126.
  16. Peter Zweifel & Lukas Steinmann & Patrick Eugster, 2005. "The Sisyphus Syndrome in Health Revisited," International Journal of Health Care Finance and Economics, Springer, vol. 5(2), pages 127-145, June.
  17. Karlsson, Martin & Klohn, Florian, 2011. "Some notes on how to catch a red herring - Ageing, time-to-death and care costs for older people in Sweden," HERO On line Working Paper Series 2011:6, Oslo University, Health Economics Research Programme.
  18. 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.
  19. Davidson, Russell & MacKinnon, James G., 1993. "Estimation and Inference in Econometrics," OUP Catalogue, Oxford University Press, number 9780195060119.
  20. 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.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:trr:wpaper:201201. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Matthias Neuenkirch)

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 references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link 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 profile, as there may be some citations waiting for confirmation.

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

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.