收入对老年人抑郁水平的非线性影响研究——来自CHARLS数据的经验证据
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安徽财经大学财政与公共管理学院

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国家社会科学基金


The nonlinear effect of income on the depression levels of the elderly——evidence from CHARLS
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School of Finance and Administration,Anhui University of Finance and Economics

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The National Social Science Foundation of China

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    摘要:

    本文运用2018年中国健康与养老追踪调查数据,实证分析了收入对老年人抑郁水平的影响。研究发现,随着收入的增加老年人的精神抑郁水平显著降低,从而提升老年人群体的精神健康水平。多重门槛回归估计结果表明,收入对老年人抑郁水平的影响具有显著的双重门槛效应。收入的影响呈现非线性,随着收入水平的提高,收入对老年人精神健康的影响水平降低。进一步研究显示,城市老年人和男性老年人具有更高的收入门槛值,同时农村老年人和男性老年人表现出更加复杂的非线性变化。最后本文建议:提高老年人保障水平,共享经济社会发展成果;开发老年人力资源,保障低龄老年人群体再就业;鼓励老年人参与社会活动,提供非现金方式的社会支持。

    Abstract:

    Using the 2018 CHARLS data, this paper empirically analyze the impact of income on the level of depression in elderly people. Research has found that as income increases, the level of mental depression in the elderly significantly decreases, thereby improving the mental health level of the elderly population. The multiple threshold regression estimation results indicate that income has a significant dual threshold effect on the level of depression in elderly people. The effect of income is non-linear, and as the income level increases, the positive impact of income on the mental health of the elderly decreases. Further research shows that urban and male elderly people have higher income thresholds, while rural and male elderly people exhibit more complex coefficient changes. Finally, this paper suggests to improve the level of security for the elderly and share the fruits of economic and social development; developing human resources for the young elderly and ensuring their reemployment; encourage elderly people to participate in social activities and provide non-cash social support.

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  • 收稿日期:2023-06-07
  • 最后修改日期:2023-09-08
  • 录用日期:2023-09-08
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