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Health, Wealth, and Voting Trajectories in Later Life

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  • Michal Engelman
  • Won-tak Joo
  • Jason Fletcher
  • Barry Burden

Abstract

ObjectivesMuch of what we know about voting behaviors is based on cross-sectional comparisons of voters at different ages. This study draws on a unique linkage between the Wisconsin Longitudinal Study and state voter files to characterize voting trajectories in later life and explore their determinants.MethodsUsing sequence analysis, we identify 5 voting typologies based on turnout and voting methods over 8 biennial elections. Using multinomial logistic and Poisson regressions, we examine the role of physical, cognitive, and mental health and wealth in shaping enfranchisement and civic participation at older ages.ResultsHealth and wealth are both positively associated with voter turnout, but the negative impact of poor health on voting declines with increasing wealth. Voting at the polls and early voting are more common among healthier older adults, whereas absentee voting is more common among older voters who are more affluent, less healthy, or both. Among those less wealthy, absentee methods mitigate the impact of poor health for previously active voters, but do not compensate for a lower turnout rate. In addition to physical and cognitive limitations, emotional difficulties and depression reduce turnout, particularly among the least wealthy.DiscussionIn this sample of older, largely White, primarily Midwestern committed voters, civic participation at older ages is shaped by individual experiences with wealth and health across the life course as well as political structures that facilitate or restrict the ability of individuals to consistently participate in elections.

Suggested Citation

  • Michal Engelman & Won-tak Joo & Jason Fletcher & Barry Burden, 2022. "Health, Wealth, and Voting Trajectories in Later Life," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 77(4), pages 827-837.
  • Handle: RePEc:oup:geronb:v:77:y:2022:i:4:p:827-837.
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    File URL: http://hdl.handle.net/10.1093/geronb/gbab191
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    References listed on IDEAS

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    1. Michal Engelman & Heide Jackson, 2019. "Gradual Change, Homeostasis, and Punctuated Equilibrium: Reconsidering Patterns of Health in Later Life," Demography, Springer;Population Association of America (PAA), vol. 56(6), pages 2323-2347, December.
    2. Luke Keele & Rocío Titiunik, 2018. "Geographic Natural Experiments with Interference: The Effect of All-Mail Voting on Turnout in Colorado," CESifo Economic Studies, CESifo, vol. 64(2), pages 127-149.
    3. Gabadinho, Alexis & Ritschard, Gilbert & Müller, Nicolas S & Studer, Matthias, 2011. "Analyzing and Visualizing State Sequences in R with TraMineR," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 40(i04).
    4. Doorslaer, Eddy van & Jones, Andrew M., 2003. "Inequalities in self-reported health: validation of a new approach to measurement," Journal of Health Economics, Elsevier, vol. 22(1), pages 61-87, January.
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