数字技能和其他个人因素对退休决策的影响及其性别差异
1Faculty of Business and Economics, Mendel University in Brno, Brno, Czech Republic. lakomy@mendelu.cz.
European journal of ageing
|October 7, 2023
概括
仅仅提高退休年龄不足以应对人口老龄化. 诸如终身学习,打击年龄歧视和个人情况等因素显著影响老年工人的退休意图.
科学领域:
- 社会科学 社会科学 社会科学
- 经济学 经济学 经济学
- 老年学是一门学科.
背景情况:
- 人口老龄化给社会保障体系带来了挑战.
- 数字化和自动化为老年工人创造了新的不确定性.
- 当前的政策可能无法充分解决延长工作寿命的复杂性.
研究的目的:
- 分析影响老年人退休意向的因素.
- 评估数字技能对愿意工作更长时间的影响.
- 确定有效制定社会政策的关键预测因素.
主要方法:
- 利用了来自欧洲健康,老龄化和退休调查 (SHARE) 波第5,7和8的数据.
- 采用了两种不同的回归方法:随机效应和固定效应建模.
- 检查了数字技能与退休意图之间的关联,并对个人特征进行控制.
主要成果:
- 数字技能在随机效应模型中显示出与劳动力市场参与的积极关联,但在固定效应模型中却没有.
- 对时间不变的个体特征进行控制表明,数字技能在延长工作寿命方面潜力有限.
- 与更长的工作寿命积极相关的因素包括自雇,改善健康,有孙子和失去伴侣.
结论:
- 专注于提高退休年龄的政策不太可能在没有补充措施的情况下有效.
- 终身学习和打击年龄歧视与解决数字化问题一起至关重要.
- 社会政策应该考虑影响退休决策的更广泛的个人和生命过程因素.
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