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The ageing of society, health services provision and taxes

Author

Listed:
  • Ulf-G. Gerdtham

    ()

  • Douglas Lundin

    ()

  • Maria Sáez-Martí

Abstract

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Suggested Citation

  • Ulf-G. Gerdtham & Douglas Lundin & Maria Sáez-Martí, 2005. "The ageing of society, health services provision and taxes," Journal of Population Economics, Springer;European Society for Population Economics, vol. 18(3), pages 519-537, September.
  • Handle: RePEc:spr:jopoec:v:18:y:2005:i:3:p:519-537
    DOI: 10.1007/s00148-005-0223-8
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    File URL: http://hdl.handle.net/10.1007/s00148-005-0223-8
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    Citations

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    Cited by:

    1. repec:eee:joecag:v:8:y:2016:i:c:p:42-51 is not listed on IDEAS
    2. Karlsson, Martin & Klohn, Florian, 2011. "Some notes on how to catch a red herring: Ageing, time-to-death & care costs for older people in Sweden," Darmstadt Discussion Papers in Economics 207, Darmstadt University of Technology, Department of Law and Economics.
    3. 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.
    4. M. Kamrul Islam & Ulf-G. Gerdtham & Philip Clarke & Kristina Burström, 2010. "Does income-related health inequality change as the population ages? Evidence from Swedish panel data," Health Economics, John Wiley & Sons, Ltd., vol. 19(3), pages 334-349.
    5. Øystein Kravdal, 2010. "Demographers’ interest in fertility trends and determinants in developed countries: Is it warranted?," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 22(22), pages 663-690, April.

    More about this item

    Keywords

    H1; I10; C23; Health care; panel data; ageing; voting;

    JEL classification:

    • H1 - Public Economics - - Structure and Scope of Government
    • I10 - Health, Education, and Welfare - - Health - - - General
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

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