IDEAS home Printed from https://ideas.repec.org/a/vid/yearbk/v14y2016i1p229-254.html
   My bibliography  Save this article

Time-to-death patterns in markers of age and dependency

Author

Listed:
  • Tim Riffe
  • Pil H. Chung
  • Jeroen Spijker
  • John MacInnes

Abstract

We aim to determine the extent to which variables commonly used to describe health, well-being, and disability in old age vary primarily as a function of years lived (chronological age), years left (thanatological age), or as a function of both. We analyze data from the U.S. Health and Retirement Study to estimate chronological age and time-to-death patterns in 78 such variables.We describe results for the birth cohort 1915–1919 in the final 12 years of life. Our results show that most of the markers used to study well-being in old age vary along both the age and the timeto- death dimensions, but that some markers are exclusively a function of either time to death or chronological age, while other markers display different patterns in men and women.

Suggested Citation

  • Tim Riffe & Pil H. Chung & Jeroen Spijker & John MacInnes, 2016. "Time-to-death patterns in markers of age and dependency," Vienna Yearbook of Population Research, Vienna Institute of Demography (VID) of the Austrian Academy of Sciences in Vienna, vol. 14(1), pages 229-254.
  • Handle: RePEc:vid:yearbk:v:14:y:2016:i:1:p:229-254
    as

    Download full text from publisher

    File URL: https://austriaca.at/0xc1aa5576_0x0036e636.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Tim Miller, 2001. "Increasing longevity and medicare expenditures," Demography, Springer;Population Association of America (PAA), vol. 38(2), pages 215-226, May.
    2. 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, October.
    3. Daniel S. Hamermesh, 1985. "Expectations, Life Expectancy, and Economic Behavior," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 100(2), pages 389-408.
    4. Michael D. Hurd & Kathleen McGarry, 1995. "Evaluation of the Subjective Probabilities of Survival in the Health and Retirement Study," Journal of Human Resources, University of Wisconsin Press, vol. 30, pages 268-292.
    5. Francisco Villavicencio & Tim Riffe, 2016. "Symmetries between life lived and left in finite stationary populations," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 35(14), pages 381-398.
    6. 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.
    7. Cocco, João F. & Gomes, Francisco J., 2012. "Longevity risk, retirement savings, and financial innovation," Journal of Financial Economics, Elsevier, vol. 103(3), pages 507-529.
    8. Office of Health Economics, 2007. "The Economics of Health Care," For School 001490, Office of Health Economics.
    9. Myrskylä, M. & Mehta, N.K. & Chang, V.W., 2013. "Early life exposure to the 1918 influenza pandemic and old-age mortality by cause of death," American Journal of Public Health, American Public Health Association, vol. 103(7), pages 83-90.
    10. Gan, Li & Gong, Guan & Hurd, Michael & McFadden, Daniel, 2015. "Subjective mortality risk and bequests," Journal of Econometrics, Elsevier, vol. 188(2), pages 514-525.
    11. Martin Salm, 2010. "Subjective mortality expectations and consumption and saving behaviours among the elderly," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 43(3), pages 1040-1057, August.
    12. 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, April.
    13. Maria Perozek, 2008. "Using subjective expectations to forecast longevity: do survey respondents know something we don’t know?," Demography, Springer;Population Association of America (PAA), vol. 45(1), pages 95-113, February.
    14. Warren C. Sanderson & Sergei Scherbov, 2013. "The Characteristics Approach to the Measurement of Population Aging," Population and Development Review, The Population Council, Inc., vol. 39(4), pages 673-685, December.
    15. Warren C. Sanderson & Sergei Scherbov, 2005. "Average remaining lifetimes can increase as human populations age," Nature, Nature, vol. 435(7043), pages 811-813, June.
    16. 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.
    17. John Payne & Namika Sagara & Suzanne Shu & Kirstin Appelt & Eric Johnson, 2013. "Life expectancy as a constructed belief: Evidence of a live-to or die-by framing effect," Journal of Risk and Uncertainty, Springer, vol. 46(1), pages 27-50, February.
    18. Adeline Delavande & Susann Rohwedder, 2011. "Differential Survival in Europe and the United States: Estimates Based on Subjective Probabilities of Survival," Demography, Springer;Population Association of America (PAA), vol. 48(4), pages 1377-1400, November.
    Full references (including those not matched with items on IDEAS)

    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. Timothy Riffe & Pil H. Chung & Jeroen J. A. Spijker & John MacInnes, 2015. "Time-to-death patterns in markers of age and dependency," MPIDR Working Papers WP-2015-003, Max Planck Institute for Demographic Research, Rostock, Germany.
    2. Post, Thomas & Hanewald, Katja, 2013. "Longevity risk, subjective survival expectations, and individual saving behavior," Journal of Economic Behavior & Organization, Elsevier, vol. 86(C), pages 200-220.
    3. Wu, Shang & Stevens, Ralph & Thorp, Susan, 2015. "Cohort and target age effects on subjective survival probabilities: Implications for models of the retirement phase," Journal of Economic Dynamics and Control, Elsevier, vol. 55(C), pages 39-56.
    4. Vesile Kutlu-Koc & Adriaan Kalwij, 2017. "Individual Survival Expectations and Actual Mortality: Evidence from Dutch Survey and Administrative Data," European Journal of Population, Springer;European Association for Population Studies, vol. 33(4), pages 509-532, October.
    5. Spaenjers, Christophe & Spira, Sven Michael, 2015. "Subjective life horizon and portfolio choice," Journal of Economic Behavior & Organization, Elsevier, vol. 116(C), pages 94-106.
    6. Leonardo Becchetti & Fabio Pisani & Berkan Acar, 2023. "Eudaimonic wellbeing and life expectancy," Kyklos, Wiley Blackwell, vol. 76(2), pages 179-195, May.
    7. Joan Costa-Font & Cristina Vilaplana-Prieto, 2022. "Biased survival expectations and behaviours: Does domain specific information matter?," Journal of Risk and Uncertainty, Springer, vol. 65(3), pages 285-317, December.
    8. 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.
    9. 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.
    10. Sanna Nivakoski, 2020. "Wealth and the effect of subjective survival probability," Journal of Population Economics, Springer;European Society for Population Economics, vol. 33(2), pages 633-670, April.
    11. 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, August.
    12. 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.
    13. Ried, Walter, 2007. "On the relationship between aging, edical progress and age-specific health care expenditures," Wirtschaftswissenschaftliche Diskussionspapiere 08/2007, University of Greifswald, Faculty of Law and Economics.
    14. Breyer Friedrich, 2015. "Demographischer Wandel und Gesundheitsausgaben: Theorie, Empirie und Politikimplikationen," Perspektiven der Wirtschaftspolitik, De Gruyter, vol. 16(3), pages 215-230, October.
    15. Adriaan Kalwij & Vesile Kutlu Koc, 2021. "Is the accuracy of individuals' survival beliefs associated with their knowledge of population life expectancy?," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 45(14), pages 453-468.
    16. Lindgren, Björn, 2016. "The Rise in Life Expectancy, Health Trends among the Elderly, and the Demand for Health and Social Care," Working Papers 142, National Institute of Economic Research.
    17. Silvia Balia & Rinaldo Brau, 2014. "A Country For Old Men? Long‐Term Home Care Utilization In Europe," Health Economics, John Wiley & Sons, Ltd., vol. 23(10), pages 1185-1212, October.
    18. Anikó Bíró, 2013. "Subjective mortality hazard shocks and the adjustment of consumption expenditures," Journal of Population Economics, Springer;European Society for Population Economics, vol. 26(4), pages 1379-1408, October.
    19. 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.
    20. Fabio Pammolli & Francesco Porcelli & Francesco Vidoli & Monica Auteri & Guido Borà, 2017. "La spesa sanitaria delle Regioni in Italia - Saniregio2017," Working Papers CERM 01-2017, Competitività, Regole, Mercati (CERM).

    More about this item

    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:vid:yearbk:v:14:y:2016:i:1:p:229-254. 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: Bernhard Rengs (email available below). General contact details of provider: https://www.oeaw.ac.at/vid/ .

    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.