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Published in: The European Journal of Health Economics 5/2011

01-10-2011 | Original Paper

Ageing and health care expenditure in EU-15

Authors: Mickael Bech, Terkel Christiansen, Ehsan Khoman, Jørgen Lauridsen, Martin Weale

Published in: The European Journal of Health Economics | Issue 5/2011

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Abstract

The purpose of this paper is to investigate the relationship between ageing and the evolution of health care expenditure per capita in the EU-15 countries. A secondary purpose is to produce estimates that can be used in projections of future health care costs. Explanatory variables include economic, social, demographic and institutional variables as well as variables related to capacity and production technology in the health care sector. The study applies a co-integrated panel data regression approach to derive short-run relationships and furthermore reports long-run relationships between health care expenditure and the explanatory variables. Our findings suggest that there is a positive short-run effect of ageing on health care expenditure, but that the long-run effect of ageing is approximately zero. We find life expectancy to be a more important driver. Although the short-run effect of life expectancy on expenditure is approximately zero, we find that the long-run effect is positive, so that increasing life expectancy leads to a more than proportional, i.e. exponential, increase in health care expenditure.
Literature
1.
go back to reference Christiansen, T., Bech, M., Lauridsen, J., Nielsen, P.: Demographic change and aggregate health care expenditure in Europe. ENEPRI Research report No. 32 (2006) Christiansen, T., Bech, M., Lauridsen, J., Nielsen, P.: Demographic change and aggregate health care expenditure in Europe. ENEPRI Research report No. 32 (2006)
2.
go back to reference Gerdtham, U.G., Jönsson, B.: International comparison of health expenditure: theory, data and econometric analysis. In: Culyer, A.J., Newhouse, J.P. (eds.) Handbook of Health Economics, pp. 11–53. Elsevier, Amsterdam (2000) Gerdtham, U.G., Jönsson, B.: International comparison of health expenditure: theory, data and econometric analysis. In: Culyer, A.J., Newhouse, J.P. (eds.) Handbook of Health Economics, pp. 11–53. Elsevier, Amsterdam (2000)
3.
go back to reference Getzen, T.E.: Health care is an individual necessity and a national luxury: applying multilevel decision models to the analysis of health care expenditures. J. Health Econ. 19(2), 259–270 (2000)PubMedCrossRef Getzen, T.E.: Health care is an individual necessity and a national luxury: applying multilevel decision models to the analysis of health care expenditures. J. Health Econ. 19(2), 259–270 (2000)PubMedCrossRef
4.
go back to reference Serup-Hansen, N., Wickstrøm, J., Kristiansen, I.S.: Future health care costs—do health care costs during the last year of life matter? Health Policy 62(2), 161–172 (2002)PubMedCrossRef Serup-Hansen, N., Wickstrøm, J., Kristiansen, I.S.: Future health care costs—do health care costs during the last year of life matter? Health Policy 62(2), 161–172 (2002)PubMedCrossRef
5.
go back to reference Seshamani, M., Gray, A.M.: A longitudinal study of the effects of age and time to death on hospital costs. J. Health. Econ. 23(2), 217–235 (2004)PubMedCrossRef Seshamani, M., Gray, A.M.: A longitudinal study of the effects of age and time to death on hospital costs. J. Health. Econ. 23(2), 217–235 (2004)PubMedCrossRef
6.
go back to reference Zweifel, P., Felder, S., Meiers, M.: Ageing of population and health care expenditure: a red herring? Health Econ. 8(6), 485–496 (1999)PubMedCrossRef Zweifel, P., Felder, S., Meiers, M.: Ageing of population and health care expenditure: a red herring? Health Econ. 8(6), 485–496 (1999)PubMedCrossRef
7.
go back to reference Getzen, T.E.: Population aging and the growth of health expenditures. J. Gerontol. 47(3), S98–S104 (1992)PubMed Getzen, T.E.: Population aging and the growth of health expenditures. J. Gerontol. 47(3), S98–S104 (1992)PubMed
8.
go back to reference Reinhardt, U.E.: Does the aging of the population really drive the demand for health care? Health Aff. 22(6), 27–39 (2003)CrossRef Reinhardt, U.E.: Does the aging of the population really drive the demand for health care? Health Aff. 22(6), 27–39 (2003)CrossRef
9.
go back to reference Fries, J.F.: Aging, natural death, and the compression of morbidity. N. Engl. J. Med. 303(3), 130–135 (1980)PubMedCrossRef Fries, J.F.: Aging, natural death, and the compression of morbidity. N. Engl. J. Med. 303(3), 130–135 (1980)PubMedCrossRef
10.
go back to reference Kramer, M.: The rising pandemic of mental disorders and associated chronic diseases and disabilities. Acta Psychiatr Scandinavia 62(Suppl. 285), 382–397 (1980)CrossRef Kramer, M.: The rising pandemic of mental disorders and associated chronic diseases and disabilities. Acta Psychiatr Scandinavia 62(Suppl. 285), 382–397 (1980)CrossRef
11.
go back to reference Gruenberg, E.M.: The failures of success. Milbank Memorial Fund Q. Health Soc. 55(1), 3–24 (1977)CrossRef Gruenberg, E.M.: The failures of success. Milbank Memorial Fund Q. Health Soc. 55(1), 3–24 (1977)CrossRef
12.
go back to reference Manton, K.G.: Changing concepts of morbidity and mortality in the elderly population. Milbank Memorial Fund Q. Health Soc. 60(2), 183–244 (1982)CrossRef Manton, K.G.: Changing concepts of morbidity and mortality in the elderly population. Milbank Memorial Fund Q. Health Soc. 60(2), 183–244 (1982)CrossRef
13.
go back to reference OECD: Projecting OECD health and long-term care expenditures: what are the main drivers? Economics Department Working Paper No. 477. OECD, Paris (2006) OECD: Projecting OECD health and long-term care expenditures: what are the main drivers? Economics Department Working Paper No. 477. OECD, Paris (2006)
14.
go back to reference Michel, J.P., Robine, J.M.: A “new” general theory of population ageing. Geneva Papers Risk Insurance Issues Pract. 29(4), 667–678 (2004)CrossRef Michel, J.P., Robine, J.M.: A “new” general theory of population ageing. Geneva Papers Risk Insurance Issues Pract. 29(4), 667–678 (2004)CrossRef
15.
go back to reference Khoman, E., Weale, M.R.: Development of scenarios for health and long-term care expenditure in the European Union Member States. WP8 Report Ahead Project. National Institute of Economic and Social Research (2007) Khoman, E., Weale, M.R.: Development of scenarios for health and long-term care expenditure in the European Union Member States. WP8 Report Ahead Project. National Institute of Economic and Social Research (2007)
16.
go back to reference Schulz, E.: The influence of supply and demand factors on aggregate health care expenditure with a specific focus on age composition. ENEPRI Research Report No. 16. AHEAD WP4, Part A: Data Collection Results (2005) Schulz, E.: The influence of supply and demand factors on aggregate health care expenditure with a specific focus on age composition. ENEPRI Research Report No. 16. AHEAD WP4, Part A: Data Collection Results (2005)
17.
go back to reference Dickey, D.A., Fuller, W.A.: Distribution of the estimators for autoregressive time series with a unit root. J. Am. Stat. Assoc. 74(366), 427–431 (1979)CrossRef Dickey, D.A., Fuller, W.A.: Distribution of the estimators for autoregressive time series with a unit root. J. Am. Stat. Assoc. 74(366), 427–431 (1979)CrossRef
18.
go back to reference Im, K.S., Pesaran, M.H., Shin, Y.: Testing for unit roots in heterogeneous panels. J. Econ. 115(1), 53–74 (2003) Im, K.S., Pesaran, M.H., Shin, Y.: Testing for unit roots in heterogeneous panels. J. Econ. 115(1), 53–74 (2003)
19.
go back to reference Phillips, P.C.B., Perron, P.: Testing for a unit root in time series regression. Biometrika 75(2), 335–346 (1988)CrossRef Phillips, P.C.B., Perron, P.: Testing for a unit root in time series regression. Biometrika 75(2), 335–346 (1988)CrossRef
20.
go back to reference Newey, W.K., West, K.D.: Automatic lag selection in covariance matrix estimation. Rev. Econ. Stud. 61(4), 631–653 (1994)CrossRef Newey, W.K., West, K.D.: Automatic lag selection in covariance matrix estimation. Rev. Econ. Stud. 61(4), 631–653 (1994)CrossRef
21.
go back to reference Lee, R., Miller, T.: Evaluating the performance of the lee-carter method for forecasting mortality. Demography 38(4), 537–549 (2001)PubMedCrossRef Lee, R., Miller, T.: Evaluating the performance of the lee-carter method for forecasting mortality. Demography 38(4), 537–549 (2001)PubMedCrossRef
22.
go back to reference Breitung, J.: Estimation and inference in dynamic factor models. University of Bonn, Mimeo (2005) Breitung, J.: Estimation and inference in dynamic factor models. University of Bonn, Mimeo (2005)
23.
go back to reference Johansen, S.: Statistical analysis of cointegration vectors. J. Econ. Dyn. Control 12(2–3), 231–254 (1988)CrossRef Johansen, S.: Statistical analysis of cointegration vectors. J. Econ. Dyn. Control 12(2–3), 231–254 (1988)CrossRef
24.
go back to reference Lutkepohl, H., Saikkonnen, P.: Order selection in testing for the cointegrating rank of VAR process. In: Engle, R.F., White, H. (eds.) Cointegration, causality and forecasting, pp. 168–199. Oxford University Press, Oxford (1999) Lutkepohl, H., Saikkonnen, P.: Order selection in testing for the cointegrating rank of VAR process. In: Engle, R.F., White, H. (eds.) Cointegration, causality and forecasting, pp. 168–199. Oxford University Press, Oxford (1999)
25.
go back to reference Nickell, S.: A bargaining model of the Phillips curve. LSE Centre for Labour Economics Discussion Paper, London (1982) Nickell, S.: A bargaining model of the Phillips curve. LSE Centre for Labour Economics Discussion Paper, London (1982)
26.
go back to reference Arellano, M., Bond, S.: Some tests of specification for panel data: Monte carlo evidence and an application to employment equations. Rev. Econ. Stud. 58(2), 277–297 (1991)CrossRef Arellano, M., Bond, S.: Some tests of specification for panel data: Monte carlo evidence and an application to employment equations. Rev. Econ. Stud. 58(2), 277–297 (1991)CrossRef
27.
go back to reference Arellano, M., Bover, O.: Another look at the instrumental variable estimation of error-components models. J. Econ. 68(1), 29–51 (1995) Arellano, M., Bover, O.: Another look at the instrumental variable estimation of error-components models. J. Econ. 68(1), 29–51 (1995)
28.
go back to reference Martins, J.O., Gonand, F., Antolin, P., De la Maisonneuve, C., Yoo, K-W.: The impact of ageing on demand, factor markets and growth. Economics Department Working Paper No. 420. OECD, Paris (2005) Martins, J.O., Gonand, F., Antolin, P., De la Maisonneuve, C., Yoo, K-W.: The impact of ageing on demand, factor markets and growth. Economics Department Working Paper No. 420. OECD, Paris (2005)
Metadata
Title
Ageing and health care expenditure in EU-15
Authors
Mickael Bech
Terkel Christiansen
Ehsan Khoman
Jørgen Lauridsen
Martin Weale
Publication date
01-10-2011
Publisher
Springer-Verlag
Published in
The European Journal of Health Economics / Issue 5/2011
Print ISSN: 1618-7598
Electronic ISSN: 1618-7601
DOI
https://doi.org/10.1007/s10198-010-0260-4

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