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Effects of Welfare Receipt on Well-being: Evidence from older people in Japan

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  • MATSUMOTO Kodai

Abstract

The purpose of this study is to verify whether receiving public assistance affects the well-being of the older people. When socially nondependency norms have formed, receiving public assistance may reduce well-being. The study focuses on older people in Japan, where public assistance is minimal. The results show that receiving public assistance has little effect on well-being for the older people but negatively affects the working-age population. The older people are likelier to not work, which may weaken the nondependency. Additionally, the heterogeneity in the relationship between the receipt of public assistance and well-being is confirmed by region.

Suggested Citation

  • MATSUMOTO Kodai, 2024. "Effects of Welfare Receipt on Well-being: Evidence from older people in Japan," Discussion papers 24039, Research Institute of Economy, Trade and Industry (RIETI).
  • Handle: RePEc:eti:dpaper:24039
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    File URL: https://www.rieti.go.jp/jp/publications/dp/24e039.pdf
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    References listed on IDEAS

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    2. Ayako Kondo & Hitoshi Shigeoka, 2017. "The Effectiveness of Demand-Side Government Intervention to Promote Elderly Employment: Evidence from Japan," ILR Review, Cornell University, ILR School, vol. 70(4), pages 1008-1036, August.
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    4. Andreas Knabe & Steffen Rätzel, 2010. "Better an insecure job than no job at all? Unemployment, job insecurity and subjective wellbeing," Economics Bulletin, AccessEcon, vol. 30(3), pages 2486-2494.
    5. Jeffrey M. Wooldridge, 2002. "Inverse probability weighted M-estimators for sample selection, attrition, and stratification," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 1(2), pages 117-139, August.
    6. Saki Sugano, 2016. "The Well-Being of Elderly Survivors after Natural Disasters: Measuring the Impact of the Great East Japan Earthquake," The Japanese Economic Review, Japanese Economic Association, vol. 67(2), pages 211-229, June.
    7. Jeffrey M. Wooldridge, 2002. "Inverse probability weighted M-estimators for sample selection, attrition and stratification," CeMMAP working papers 11/02, Institute for Fiscal Studies.
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