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Mortality Change among Less Educated Americans

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  • Paul Novosad
  • Charlie Rafkin
  • Sam Asher

Abstract

Measurements of mortality change among less educated Americans can be biased because the least educated groups (e.g., dropouts) become smaller and more negatively selected over time. We show that mortality changes at constant education percentiles can be bounded with minimal assumptions. Middle-age mortality increases among non-Hispanic Whites from 1992 to 2018 are driven almost entirely by the bottom 10 percent of the education distribution. Drivers of mortality change differ substantially across groups. Deaths of despair explain most of the mortality change among young non-Hispanic Whites, but less among older Whites and non-Hispanic Blacks. Our bounds are applicable in many other contexts.

Suggested Citation

  • Paul Novosad & Charlie Rafkin & Sam Asher, 2022. "Mortality Change among Less Educated Americans," American Economic Journal: Applied Economics, American Economic Association, vol. 14(4), pages 1-34, October.
  • Handle: RePEc:aea:aejapp:v:14:y:2022:i:4:p:1-34
    DOI: 10.1257/app.20190297
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    1. Jeremy Greenwood & Nezih Guner & Georgi Kocharkov & Cezar Santos, 2014. "Marry Your Like: Assortative Mating and Income Inequality," American Economic Review, American Economic Association, vol. 104(5), pages 348-353, May.
    2. Leive, Adam A. & Ruhm, Christopher J., 2021. "Has mortality risen disproportionately for the least educated?," Journal of Health Economics, Elsevier, vol. 79(C).
    3. Charles F. Manski & Elie Tamer, 2002. "Inference on Regressions with Interval Data on a Regressor or Outcome," Econometrica, Econometric Society, vol. 70(2), pages 519-546, March.
    4. Marianne Bertrand & Patricia Cortés & Claudia Olivetti & Jessica Pan, 2016. "Social Norms, Labor Market Opportunities, and the Marriage Gap for Skilled Women," NBER Working Papers 22015, National Bureau of Economic Research, Inc.
    5. Janet M. Currie, 2018. "Questions And Answers—Inequality In Mortality Over The Life Course: Why Things Are Not As Bad As You Think," Contemporary Economic Policy, Western Economic Association International, vol. 36(1), pages 24-28, January.
    6. Christopher J. Ruhm, 2018. "Deaths of Despair or Drug Problems?," NBER Working Papers 24188, National Bureau of Economic Research, Inc.
    7. Cristia, Julian P., 2009. "Rising mortality and life expectancy differentials by lifetime earnings in the United States," Journal of Health Economics, Elsevier, vol. 28(5), pages 984-995, September.
    8. Ruiz, J.M. & Steffen, P. & Smith, T.B., 2013. "Hispanic mortality paradox: A systematic review and meta-analysis of the longitudinal literature," American Journal of Public Health, American Public Health Association, vol. 103(3), pages 52-60.
    9. Hungerford, Thomas & Solon, Gary, 1987. "Sheepskin Effects in the Returns to Education," The Review of Economics and Statistics, MIT Press, vol. 69(1), pages 175-177, February.
    10. Marianne Bertrand & Patricia Cortés & Claudia Olivetti & Jessica Pan, 2016. "Social Norms, Labor Market Opportunities, and the Marriage Gap for Skilled Women," NBER Working Papers 22015, National Bureau of Economic Research, Inc.
    11. O. Ashenfelter & D. Card (ed.), 1999. "Handbook of Labor Economics," Handbook of Labor Economics, Elsevier, edition 1, volume 3, number 3.
    12. Anne Case & Angua Deaton, 2015. "Rising morbidity and mortality in midlife among white non-Hispanic Americans in the 21st century," Working Papers 15078.full.pdf, Princeton University, Woodrow Wilson School of Public and International Affairs, Research Program in Development Studies..
    13. Cristia, Julian P., 2009. "Rising mortality and life expectancy differentials by lifetime earnings in the United States," Journal of Health Economics, Elsevier, vol. 28(5), pages 984-995, September.
    14. Maria Ponomareva & Elie Tamer, 2011. "Misspecification in moment inequality models: back to moment equalities?," Econometrics Journal, Royal Economic Society, vol. 14(2), pages 186-203, July.
    15. Janet M. Currie, 2018. "Inequality In Mortality Over The Life Course: Why Things Are Not As Bad As You Think," Contemporary Economic Policy, Western Economic Association International, vol. 36(1), pages 7-23, January.
    16. Jaeger, David A, 1997. "Reconciling the Old and New Census Bureau Education Questions: Recommendations for Researchers," Journal of Business & Economic Statistics, American Statistical Association, vol. 15(3), pages 300-309, July.
    17. Card, David, 1999. "The causal effect of education on earnings," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 30, pages 1801-1863, Elsevier.
    18. Alberto Palloni & Elizabeth Arias, 2004. "Paradox lost: Explaining the hispanic adult mortality advantage," Demography, Springer;Population Association of America (PAA), vol. 41(3), pages 385-415, August.
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    Cited by:

    1. Marcin Wroński, 2024. "Intergenerational Educational Mobility in Poland in the Long Run: Education as a Positional Good," Eastern European Economics, Taylor & Francis Journals, vol. 62(3), pages 317-339, May.
    2. Raj Chetty & Will Dobbie & Benjamin Goldman & Sonya R. Porter & Crystal S. Yang, 2024. "Changing Opportunity: Sociological Mechanisms Underlying Growing Class Gaps and Shrinking Race Gaps in Economic Mobility," Working Papers 24-38, Center for Economic Studies, U.S. Census Bureau.
    3. Amy Finkelstein & Geoffrey Kocks & Maria Polyakova & Victoria Udalova, 2022. "Heterogeneity in Damages from A Pandemic," NBER Working Papers 30658, National Bureau of Economic Research, Inc.
    4. Anne Case & Angus Deaton, 2023. "Accounting for the Widening Mortality Gap Between Adult Americans with and without a BA," NBER Working Papers 31236, National Bureau of Economic Research, Inc.
    5. Hui Zheng & Yoonyoung Choi & Taehyun Ethan Kim, 2025. "Uncovering the underlying causes for the narrowing, stalling, and widening Black–White mortality gap from 2000 to 2022 in the United States," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 52(18), pages 535-558.
    6. Bavafa, Hessam & Mukherjee, Anita & Welch, Tyler Q., 2023. "Inequality in the golden years: Wealth gradients in disability-free and work-free longevity in the United States," Journal of Health Economics, Elsevier, vol. 92(C).

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    More about this item

    JEL classification:

    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • I26 - Health, Education, and Welfare - - Education - - - Returns to Education
    • J15 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Minorities, Races, Indigenous Peoples, and Immigrants; Non-labor Discrimination

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