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Medical-Demographic Differentiation According to Educational Level

Author

Listed:
  • Shulgin, Sergey

    (Russian Presidential Academy of National Economy and Public Administration (RANEPA))

  • Scherbov, Sergey

    (Russian Presidential Academy of National Economy and Public Administration (RANEPA))

  • Zinkina, Yulia

    (Russian Presidential Academy of National Economy and Public Administration (RANEPA))

  • Novikov, Kirill

    (Russian Presidential Academy of National Economy and Public Administration (RANEPA))

Abstract

In this paper, the relationship between the health status of people and the level of education is investigated. The main objective of the study is to analyze how the state of health depends on the level of education. The work evaluates the age functions of various medical and demographic factors, as well as their dependence on the level of education. Estimates of several models of the expected life expectancy (HALE) for Russia are made and an assessment of the survival tables for Russian men and women with different levels of education is done.

Suggested Citation

  • Shulgin, Sergey & Scherbov, Sergey & Zinkina, Yulia & Novikov, Kirill, 2017. "Medical-Demographic Differentiation According to Educational Level," Working Papers 041719, Russian Presidential Academy of National Economy and Public Administration.
    • Handle: RePEc:rnp:wpaper:041719
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    References listed on IDEAS

    as
    1. Lumley, Thomas, 2004. "Analysis of Complex Survey Samples," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 9(i08).
    2. 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.
    3. Warren C. Sanderson & Sergei Scherbov, 2005. "Average remaining lifetimes can increase as human populations age," Nature, Nature, vol. 435(7043), pages 811-813, June.
    4. Warren C. Sanderson & Sergei Scherbov, 2007. "A new perspective on population aging," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 16(2), pages 27-58.
    5. James W. Vaupel, 2010. "Biodemography of human ageing," Nature, Nature, vol. 464(7288), pages 536-542, March.
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