Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/340996 
Year of Publication: 
2025
Citation: 
[Journal:] Asia and the Global Economy (AGE) [ISSN:] 2667-1115 [Volume:] 5 [Issue:] 2 [Article No.:] 100118 [Year:] 2025 [Pages:] 1-14
Publisher: 
Elsevier, Amsterdam
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.
Subjects: 
Logistic regression
Low wage
Psychological health
Unemployement
JEL: 
J01
J29
O15
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article

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