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Understanding the SES Gradient in Health Among the Elderly: The Role of Childhood Circumstances

In: Discoveries in the Economics of Aging

Author

Listed:
  • Till Stowasser
  • Florian Heiss
  • Daniel McFadden
  • Joachim Winter

Abstract

Individuals’ socioeconomic status (SES) is positively correlated with their health status. While the existence of this gradient may be uncontroversial, the same cannot be said about its explanation. In this paper, we extend the approach of testing for the absence of causal channels developed by Adams et al. (2003), which in a Granger causality sense promises insights on the causal structure of the health-SES nexus. We introduce some methodological refinements and integrate retrospective survey data on early childhood circumstances into this framework. We confirm that childhood health has lasting predictive power for adult health. We also uncover strong gender differences in the intertemporal transmission of SES and health: While the link between SES and functional as well as mental health among men appears to be established rather late in life, the gradient among women seems to originate from childhood circumstances.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Till Stowasser & Florian Heiss & Daniel McFadden & Joachim Winter, 2014. "Understanding the SES Gradient in Health Among the Elderly: The Role of Childhood Circumstances," NBER Chapters, in: Discoveries in the Economics of Aging, pages 187-219, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberch:12976
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    References listed on IDEAS

    as
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    Cited by:

    1. Chen, Xi, 2022. "Early Life Circumstances and the Health of Older Adults: A Research Note," IZA Discussion Papers 15511, Institute of Labor Economics (IZA).
    2. Arrighi, Y. & Rapp, T. & Sirven, N., 2017. "The impact of economic conditions on the disablement process: A Markov transition approach using SHARE data," Health Policy, Elsevier, vol. 121(7), pages 778-785.
    3. Chen, Xi & Yan, Binjian & Gill, Thomas M., 2020. "Childhood Circumstances and Health Inequality in Old Age: Comparative Evidence from China and the United States," GLO Discussion Paper Series 594, Global Labor Organization (GLO).
    4. Frank A Cowell & Martyna Kobus & Radoslaw Kurek, 2017. "Welfare and Inequality Comparisons for Uni- and Multi-dimensional Distributions of Ordinal Data," STICERD - Public Economics Programme Discussion Papers 31, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    5. Zachary Zimmer & Heidi Hanson & Ken Smith, 2016. "Childhood socioeconomic status, adult socioeconomic status, and old-age health trajectories," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 34(10), pages 285-320.

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    More about this item

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • I0 - Health, Education, and Welfare - - General
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior

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