Beyond financial hardships: Exploring the effects of unemployment and low wages on psychological health in India

IF 1.5
Swapnanil SenGupta
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Abstract

This paper examines the effects of unemployment and low wages on mental health in India. The analysis applies cross-sectional data from the Longitudinal Ageing Study in India (LASI), 2017–18. Seven different indicators of psychological distress are used. The relationships are estimated using the ordered polytomous logistic regression technique. Controlling for several individual characteristics, unemployed individuals are found to suffer higher odds of mental distress. Low wages increase the likelihood of higher life dissatisfaction levels. Compared to low-wage and out-of-labour-force individuals, unemployed individuals are at a higher risk of suffering psychological issues, implying that individuals do not voluntarily select unemployment over a low-paid job. The results also suggest that men are more affected by unemployment and low wages than women. These findings are largely similar to studies in Britain and Germany. In addition, the age group of 20–45, followed by 46–55, seems to be the most vulnerable to labour market outcomes.
超越经济困难:探索失业和低工资对印度心理健康的影响
本文考察了失业和低工资对印度心理健康的影响。该分析采用了2017-18年印度纵向老龄化研究(LASI)的横截面数据。使用了七种不同的心理困扰指标。使用有序多聚逻辑回归技术估计这些关系。在控制了几个个体特征后,失业个体遭受精神痛苦的几率更高。低工资增加了对生活不满程度更高的可能性。与低工资和失业的个人相比,失业的个人遭受心理问题的风险更高,这意味着个人不会自愿选择失业而不是低工资的工作。研究结果还表明,男性比女性更容易受到失业和低工资的影响。这些发现与英国和德国的研究大体相似。此外,20-45岁年龄组似乎最容易受到劳动力市场结果的影响,其次是46-55岁年龄组。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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