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Volunteering during early retirement reduces depression

Author

Listed:
  • Angelo Lorenti

    (Max Planck Institute for Demographic Research, Rostock, Germany)

  • Alessandra De Rose
  • Filomena Racioppi

Abstract

As individuals age, they often face deteriorating health and significant lifestyle changes, including retirement. While retirement can alter individuals' economic and social roles, potentially increasing the risk of depression, involvement in volunteer activities has been found to be beneficial for retirees. Using data from the Health and Retirement Study, we apply the parametric g-formula to simulate an intervention aimed at estimating the effect of volunteering on depression and ist heterogeneity, and to assess the mediating role of limitations in activities of daily living. Our results show that engagement in volunteering reduces the probability of depression by approximately 5% in the whole population, with larger gains among early retirees. The results hold irrespective of gender, and indicate that the benefits are greater for women and racial minorities. Our findings show that about 10% of the positive impact of volunteering on depression operates via a reduction in the likelihood of experiencing limitations in activities of daily living. Therefore, we conclude that the benefits of volunteering extend to improving the overall health of both individuals and the population. Our simulated intervention targeting early retirees may be a viable public health strategy for protecting individuals against depression, while also enabling them to contribute to the public good.

Suggested Citation

  • Angelo Lorenti & Alessandra De Rose & Filomena Racioppi, 2024. "Volunteering during early retirement reduces depression," MPIDR Working Papers WP-2024-038, Max Planck Institute for Demographic Research, Rostock, Germany.
  • Handle: RePEc:dem:wpaper:wp-2024-038
    DOI: 10.4054/MPIDR-WP-2024-038
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    More about this item

    Keywords

    USA; disability; mental depression; retirement; simulation; voluntary workers;
    All these keywords.

    JEL classification:

    • J1 - Labor and Demographic Economics - - Demographic Economics
    • Z0 - Other Special Topics - - General

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