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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, 2013. "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

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    1. Angus Deaton, 2010. "Instruments, Randomization, and Learning about Development," Journal of Economic Literature, American Economic Association, vol. 48(2), pages 424-455, June.
    2. repec:ran:wpaper:809 is not listed on IDEAS
    3. Till Stowasser & Florian Heiss & Daniel McFadden & Joachim Winter, 2011. ""Healthy, Wealthy and Wise?" Revisited: An Analysis of the Causal Pathways from Socioeconomic Status to Health," NBER Chapters,in: Investigations in the Economics of Aging, pages 267-317 National Bureau of Economic Research, Inc.
    4. Florian Heiss, 2011. "Dynamics of self-rated health and selective mortality," Empirical Economics, Springer, vol. 40(1), pages 119-140, February.
    5. repec:pri:cheawb:case_paxson_economic_status_paper is not listed on IDEAS
    6. Mazzonna, Fabrizio, 2014. "The long-lasting effects of family background: A European cross-country comparison," Economics of Education Review, Elsevier, vol. 40(C), pages 25-42.
    7. Berger, Lawrence M. & Paxson, Christina & Waldfogel, Jane, 2009. "Income and child development," Children and Youth Services Review, Elsevier, vol. 31(9), pages 978-989, September.
    8. Janet Currie, 2009. "Healthy, Wealthy, and Wise: Socioeconomic Status, Poor Health in Childhood, and Human Capital Development," Journal of Economic Literature, American Economic Association, vol. 47(1), pages 87-122, March.
    9. Anne Case & Christina Paxson, 2008. "Height, Health, and Cognitive Function at Older Ages," American Economic Review, American Economic Association, vol. 98(2), pages 463-467, May.
    10. repec:pri:rpdevs:deaton_instruments_randomization_learning_all_04april_2010 is not listed on IDEAS
    11. Grossman, Michael, 1972. "On the Concept of Health Capital and the Demand for Health," Journal of Political Economy, University of Chicago Press, vol. 80(2), pages 223-255, March-Apr.
    12. Peter Adams & Michael D. Hurd & Daniel L. McFadden & Angela Merrill & Tiago Ribeiro, 2004. "Healthy, Wealthy, and Wise? Tests for Direct Causal Paths between Health and Socioeconomic Status," NBER Chapters,in: Perspectives on the Economics of Aging, pages 415-526 National Bureau of Economic Research, Inc.
    13. Case, Anne & Fertig, Angela & Paxson, Christina, 2005. "The lasting impact of childhood health and circumstance," Journal of Health Economics, Elsevier, vol. 24(2), pages 365-389, March.
    14. Berney, L. R. & Blane, D. B., 1997. "Collecting retrospective data: Accuracy of recall after 50 years judged against historical records," Social Science & Medicine, Elsevier, vol. 45(10), pages 1519-1525, November.
    15. Anne Case & Darren Lubotsky & Christina Paxson, 2002. "Economic Status and Health in Childhood: The Origins of the Gradient," American Economic Review, American Economic Association, vol. 92(5), pages 1308-1334, December.
    16. Iris Kesternich & Bettina Siflinger & James P. Smith & Joachim K. Winter, 2014. "The Effects of World War II on Economic and Health Outcomes across Europe," The Review of Economics and Statistics, MIT Press, vol. 96(1), pages 103-118, March.
    17. James P. Smith & Yan Shen & John Strauss & Yang Zhe & Yaohui Zhao, 2012. "The Effects of Childhood Health on Adult Health and SES in China," Economic Development and Cultural Change, University of Chicago Press, vol. 61(1), pages 127-156.
    18. repec:pri:cheawb:case_paxson_height_health_and_cognitive_function is not listed on IDEAS
    19. repec:pri:rpdevs:case_paxson_height_health_and_cognitive_function is not listed on IDEAS
    20. Iris Kesternich & Bettina Siflinger & James P. Smith & Joachim K. Winter, 2014. "The Effects of World War II on Economic and Health Outcomes across Europe," The Review of Economics and Statistics, MIT Press, pages 103-118.
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    Cited by:

    1. repec:eee:hepoli:v:121:y:2017:i:7:p:778-785 is not listed on IDEAS
    2. 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, February.
    3. 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.

    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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