Abstract
Five waves of the Young Lives Indian survey are analysed using sequence and regression analysis. Four clusters of individuals sharing similar life histories are identified. The life histories reflect aspects of childhood and family circumstances measured by living conditions, health and exposure to family and economic shocks. Regression analysis investigates how different life histories and gender impact employment outcomes at age 22. The results show that accumulation of (dis)advantages over children’s lives helps to explain inequalities in employment and earnings. At age 22, those who have led wealthier, healthier, more stable lives have higher earnings but are less likely to be employed. Those from the poorest but most stable cluster are the most likely to be employed, but among women, this group earns the least. For young men, earnings are lowest for those exposed to the most shocks. Policy to equalise employment opportunities in India should therefore aim to improve the living conditions, health and security of disadvantaged young children.
| Original language | English |
|---|---|
| Journal | Oxford Development Studies |
| Publication status | Accepted/In press - 31 Jul 2026 |
Keywords
- early-life poverty
- gender wage gap
- youth employment
- life history trajectories
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