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Depression and Loneliness Among the Elderly Poor

Author

Listed:
  • Abhijit Banerjee
  • Esther Duflo
  • Erin Grela
  • Madeline McKelway
  • Frank Schilbach
  • Garima Sharma
  • Girija Vaidyanathan

Abstract

The mental health of the elderly in low- and middle-income countries (LMICs) is a largely neglected subject, both by policy and research. We combine data from the health and retirement family of surveys in seven LMICs (plus the US) to document that depressive symptoms among those aged 55 and above are more prevalent in those countries and increase sharply with age. Depressive symptoms in one survey wave are associated with a greater decline in functional abilities and higher probability of death in the next wave. Using data from a panel survey we conducted in Tamil Nadu with a focus on elderly living alone, we document that social isolation, poverty, and health challenges are three of the leading correlates of depression. We discuss potential policy interventions in these three domains, including some results from our randomized control trials in the Tamil Nadu sample.

Suggested Citation

  • Abhijit Banerjee & Esther Duflo & Erin Grela & Madeline McKelway & Frank Schilbach & Garima Sharma & Girija Vaidyanathan, 2022. "Depression and Loneliness Among the Elderly Poor," NBER Working Papers 30330, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:30330
    Note: AG DEV EH
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    References listed on IDEAS

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    1. Penninx, B.W.J.H. & Leveille, S. & Ferrucci, L. & Van Eijk, J.T.M. & Guralnik, J.M., 1999. "Exploring the effect of depression on physical disability: Longitudinal evidence from the established populations for epidemiologic studies of the elderly," American Journal of Public Health, American Public Health Association, vol. 89(9), pages 1346-1352.
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    3. Alison Andrew & Orazio Attanasio & Britta Augsburg & Jere Behrman & Monimalika Day & Pamela Jervis & Costas Meghir & Angus Phimister, 2020. "Mothers’ Social Networks and Socioeconomic Gradients of Isolation," NBER Working Papers 28049, National Bureau of Economic Research, Inc.
    4. Blanchflower, David G., 2020. "Unhappiness and age," Journal of Economic Behavior & Organization, Elsevier, vol. 176(C), pages 461-488.
    5. Daniel Kahneman & Alan B. Krueger, 2006. "Developments in the Measurement of Subjective Well-Being," Journal of Economic Perspectives, American Economic Association, vol. 20(1), pages 3-24, Winter.
    6. Chen, Xi & Wang, Tianyu & Busch, Susan H., 2019. "Does money relieve depression? Evidence from social pension expansions in China," Social Science & Medicine, Elsevier, vol. 220(C), pages 411-420.
    7. Luo, Ye & Hawkley, Louise C. & Waite, Linda J. & Cacioppo, John T., 2012. "Loneliness, health, and mortality in old age: A national longitudinal study," Social Science & Medicine, Elsevier, vol. 74(6), pages 907-914.
    8. Victoria Baranov & Sonia Bhalotra & Pietro Biroli & Joanna Maselko, 2020. "Maternal Depression, Women's Empowerment, and Parental Investment: Evidence from a Randomized Controlled Trial," American Economic Review, American Economic Association, vol. 110(3), pages 824-859, March.
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    Cited by:

    1. Fang, Hanming & Lei, Ziteng & Lin, Liguo & Zhang, Peng & Zhou, Maigeng, 2023. "Family companionship and elderly suicide: Evidence from the Chinese Lunar New Year," Journal of Development Economics, Elsevier, vol. 162(C).

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    More about this item

    JEL classification:

    • I15 - Health, Education, and Welfare - - Health - - - Health and Economic Development
    • I3 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty
    • O1 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development

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