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Childhood Economic Conditions and Length of Life: Evidence from the UK Boyd Orr Cohort, 1937–2005

Author

Listed:
  • Frijters, Paul

    (London School of Economics)

  • Shields, Michael A.

    (Monash University)

  • Hatton, Timothy J.

    (University of Essex)

  • Martin, Richard M.

    (University of Bristol)

Abstract

We study the importance of childhood socioeconomic conditions in explaining differences in life expectancy using data from a sample of around 5,000 children collected in the UK in 1937-39, who have been traced through official death records up to 2005. We estimate a number of duration of life models that control for unobserved household heterogeneity. Our results confirm that childhood conditions such as household income and the quality of the home environment are significant predictors of longevity. Importantly, however, the role of socio-economic status appears to differ across cause of death, with household income only being a significant predictor of death from cancer. Moreover, we find that children born in a location with relatively high infant mortality rates live significantly fewer years, that 1st born children in the family live significantly more years, and that there is a very high correlation in longevity across children from the same family across all causes of death. We estimate that the difference in life expectancy between ‘good’ and ‘bad’ households is as large as 11 years.

Suggested Citation

  • Frijters, Paul & Shields, Michael A. & Hatton, Timothy J. & Martin, Richard M., 2007. "Childhood Economic Conditions and Length of Life: Evidence from the UK Boyd Orr Cohort, 1937–2005," IZA Discussion Papers 3042, Institute of Labor Economics (IZA).
    • Handle: RePEc:iza:izadps:dp3042
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    References listed on IDEAS

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    Full references (including those not matched with items on IDEAS)

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    As found by EconAcademics.org, the blog aggregator for Economics research:
    1. Childhood Economic Conditions and Length of Life - Evidence from Boyd-Orr Cohort
      by Liam Delaney in Geary Behaviour Centre on 2010-08-11 02:51:00

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    Cited by:

    1. Pfeiffer, Friedhelm & Reuss, Karsten, 2013. "Improving Educational Investments: A Welfare Analysis for Europe," Regional and Sectoral Economic Studies, Euro-American Association of Economic Development, vol. 13(3), pages 77-94.
    2. Flèche, Sarah & Lekfuangfu, Warn N. & Clark, Andrew E., 2021. "The long-lasting effects of family and childhood on adult wellbeing: Evidence from British cohort data," Journal of Economic Behavior & Organization, Elsevier, vol. 181(C), pages 290-311.
    3. Nieto, Adrián & Suhrcke, Marc, 2021. "The effect of TV viewing on children’s obesity risk and mental well-being: Evidence from the UK digital switchover," Journal of Health Economics, Elsevier, vol. 80(C).
    4. Frijters, Paul & Johnston, David W. & Shields, Michael A., 2011. "Destined for (Un)Happiness: Does Childhood Predict Adult Life Satisfaction?," IZA Discussion Papers 5819, Institute of Labor Economics (IZA).
    5. Thompson, Owen, 2011. "Racial disparities in the cognition-health relationship," Journal of Health Economics, Elsevier, vol. 30(2), pages 328-339, March.
    6. Brandt, Martina & Deindl, Christian & Hank, Karsten, 2012. "Tracing the origins of successful aging: The role of childhood conditions and social inequality in explaining later life health," Social Science & Medicine, Elsevier, vol. 74(9), pages 1418-1425.
    7. Pfeiffer, Friedhelm, 2013. "On the Power of Childhood Impressions for Skill Formation: Initial Evidence and Unsettled Questions," IZA Discussion Papers 7217, Institute of Labor Economics (IZA).
    8. Paul Frijters & David W. Johnston & Michael A. Shields, 2014. "Does Childhood Predict Adult Life Satisfaction? Evidence from British Cohort Surveys," Economic Journal, Royal Economic Society, vol. 124(580), pages 688-719, November.
    9. Alan Fernihough & Mark McGovern, 2014. "Do fertility transitions influence infant mortality declines? Evidence from early modern Germany," Journal of Population Economics, Springer;European Society for Population Economics, vol. 27(4), pages 1145-1163, October.
    10. Powdthavee, Nattavudh & Stutzer, Alois, 2014. "Economic Approaches to Understanding Change in Happiness," IZA Discussion Papers 8131, Institute of Labor Economics (IZA).
    11. Lo, Te-Fen & Hsieh, Chee-Ruey, 2013. "Dynamic profile of health investment and the evolution of elderly health," Social Science & Medicine, Elsevier, vol. 76(C), pages 134-142.
    12. Dana Hübelová & Alice Kozumplíková, 2019. "Evaluation of Demographic and Socio-economic Factors of Mortality in the South Moravian Region (Czech Republic)," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 67(5), pages 1255-1267.
    13. Gary Yeung & Gerard Berg & Maarten Lindeboom & France Portrait, 2014. "The impact of early-life economic conditionson cause-specific mortality during adulthood," Journal of Population Economics, Springer;European Society for Population Economics, vol. 27(3), pages 895-919, July.
    14. Adrian Nieto & Marc Suhrcke, 2020. "Television, Children's Obesity Risk and Mental Well-being: Lessons from the UK Digital Switchover," LISER Working Paper Series 2020-12, Luxembourg Institute of Socio-Economic Research (LISER).
    15. Martine Mariotti, 2015. "Fathers' Employment and Sons' Stature: The Long-Run Effects of a Positive Regional Employment Shock in South Africa's Mining Industry," Economic Development and Cultural Change, University of Chicago Press, vol. 63(3), pages 485-514.
    16. Timothy J. Hatton & Richard M. Martin, 2010. "The effects on stature of poverty, family size, and birth order: British children in the 1930s," Oxford Economic Papers, Oxford University Press, vol. 62(1), pages 157-184, January.
    17. Hamid NoghaniBehambari & Farzaneh Noghani & Nahid Tavassoli, 2021. "Early-life Income Shocks and Old-Age Cause-Specific Mortality," Papers 2101.03943, arXiv.org.
    18. Martine Mariotti, 2012. "Living Standards In South Africa’s Former Homelands," ANU Working Papers in Economics and Econometrics 2012-570, Australian National University, College of Business and Economics, School of Economics.

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    More about this item

    Keywords

    length of life; duration models; socio-economic characteristics; childhood;
    All these keywords.

    JEL classification:

    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior

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