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Econometric issues in testing the age neutrality of health care expenditure

Author Info

Listed author(s):
  • Christian Salas

    (Health Services Management Centre, University of Birmingham, Birmingham, UK)

  • James P. Raftery

    (Health Services Management Centre, University of Birmingham, Birmingham, UK)

Registered author(s):

    Abstract

    A recent study by Zweifel et al. (Zweifel P, Felder S, Meiers M. Ageing of the population and health care expenditure: a red herring? Health Economics 1999; 8 : 485-496) suggests that age is not related to health care expenditure among the elderly once 'closeness to death' is controlled for. If correct, this finding has major policy implications, but flaws in the econometric analysis undermine its credibility. We highlight two in particular, and propose methods to deal with them. Copyright © 2001 John Wiley & Sons, Ltd.

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    File URL: http://hdl.handle.net/10.1002/hec.638
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    Article provided by John Wiley & Sons, Ltd. in its journal Health Economics.

    Volume (Year): 10 (2001)
    Issue (Month): 7 ()
    Pages: 669-671

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    Handle: RePEc:wly:hlthec:v:10:y:2001:i:7:p:669-671
    DOI: 10.1002/hec.638
    Contact details of provider: Web page: http://www3.interscience.wiley.com/cgi-bin/jhome/5749

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    1. Delgado, Miguel A & Robinson, Peter M, 1992. " Nonparametric and Semiparametric Methods for Economic Research," Journal of Economic Surveys, Wiley Blackwell, vol. 6(3), pages 201-249.
    2. 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.
    3. Alan M. Garber & Thomas E. MaCurdy & Mark C. McClellan, 1998. "Medical Care at the End of Life: Diseases, Treatment Patterns, and Costs," NBER Working Papers 6748, National Bureau of Economic Research, Inc.
    4. Andrew M. Jones, 2012. "health econometrics," The New Palgrave Dictionary of Economics, Palgrave Macmillan.
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    Cited by:

    1. 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.
    2. 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.
    3. 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.
    4. repec:zbw:rwirep:0073 is not listed on IDEAS
    5. Schulz, Erika & Leidl, Reiner & Konig, Hans-Helmut, 2004. "The impact of ageing on hospital care and long-term care--the example of Germany," Health Policy, Elsevier, vol. 67(1), pages 57-74, January.
    6. 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.
    7. Peter Zweifel & Stefan Felder & Markus Meier, 2001. "Reply to: econometric issues in testing the age neutrality of health care expenditure," Health Economics, John Wiley & Sons, Ltd., vol. 10(7), pages 673-674.
    8. Stefan Felder & Peter Zweifel & Andreas Werblow, 2006. "Population Ageing and Health Care Expenditure: Is Long-term Care Different?," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 142(V), pages 43-48.
    9. 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.
    10. Breyer Friedrich, 2015. "Demographischer Wandel und Gesundheitsausgaben: Theorie, Empirie und Politikimplikationen," Perspektiven der Wirtschaftspolitik, De Gruyter, vol. 16(3), pages 215-230, October.
    11. Stefan Felder & Andreas Werblow & Peter Zweifel, 2008. "Do Red Herrings Swim in Circles? – Controlling for the Endogeneity of Time to Death," Ruhr Economic Papers 0073, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.
    12. Thomas Bjørner & Søren Arnberg, 2012. "Terminal costs, improved life expectancy and future public health expenditure," International Journal of Health Economics and Management, Springer, vol. 12(2), pages 129-143, June.
    13. Madden, David, 2008. "Sample selection versus two-part models revisited: The case of female smoking and drinking," Journal of Health Economics, Elsevier, vol. 27(2), pages 300-307, March.
    14. repec:jns:jbstat:v:227:y:2007:i:5-6:p:578-602 is not listed on IDEAS
    15. Gregersen, Fredrik Alexander & Godager, Geir, 2013. "Hospital expenditures and the red herring hypothesis: Evidence from a complete national registry," HERO On line Working Paper Series 2013:3, Oslo University, Health Economics Research Programme.
    16. France Weaver & Sally C. Stearns & Edward C. Norton & William Spector, 2009. "Proximity to death and participation in the long-term care market," Health Economics, John Wiley & Sons, Ltd., vol. 18(8), pages 867-883.
    17. 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.
    18. Felder, Stefan & Werblow, Andreas & Zweifel, Peter, 2008. "Do Red Herrings Swim in Circles? – Controlling for the Endogeneity of Time to Death," Ruhr Economic Papers 73, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    19. 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.
    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.

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