This discussion paper, written by Sudipa Sarkar, Bhaskar Chakravorty and Clare Lyonette, analyses primary survey data from participants of a large-scale skill-training programme that targets rural poor youths in India.

Focusing on two dimensions of individuals' identity: caste and gender, the empirical findings suggest that training participants from the most socially disadvantaged groups - Scheduled Tribe (ST) and Scheduled Caste (SC) - have significantly lower income aspiration when compared to Other Backward Class (OBC) and Other Caste (OC) participants. Female participants also have significantly lower aspiration than their male counterparts.

The aspiration gaps exist even after controlling for various background characteristics, including participants' pre-training personality traits and soft skills. Individual-level and household-level factors mediate some of the aspiration gaps based on caste and gender.

The paper finds evidence that for SC/ST female participants, the disadvantages on both caste and gender dimensions add up; this is reflected in their lower income aspiration levels, in comparison with all other groups. Thus, the results support the hypothesis of "double jeopardy" instead of "intersectionality" in this context.

This is the first paper of an ongoing project funded through the Global Challenges Research Fund (GCRF).

Unemployment and scarcity of jobs have long been important concerns for policymakers in developing countries (World Bank, 2012). These issues are crucial for India as the country is home to the world’s largest population of young people ready to participate in the labour force (UNFPA report, 2019). The current situation caused by the Covid-19 outbreak and the subsequent countrywide lockdown is certain to affect employment levels in the country, especially as India has a large informal economy, which is currently bearing the major brunt of the lockdown.