Socio-Economic Determinants of Unemploymentin Rural Haryana, India

Purpose: This study investigates the structural dynamics of unemployment in rural Haryana by examining the influence of key socio-economic determinants using a binary logistic regression model. Design/Methodology/Approach: Drawing on primary data, the analysis explores how gender, age, marital status, educational attainment, economic status, family composition, occupation type, and household income shape individuals’ employment probabilities. Findings: The findings reveal that unemployment in rural Haryana is neither homogenous nor transitory, but rather deeply embedded within intersecting socio-economic inequalities and uneven access to labour market opportunities. Among the examined variables, gender, education level, and vocational training emerge as the most significant predictors of employment status. The pronounced gender gap reflects substantial barriers faced by rural women, underscoring the urgent need for gender-sensitive employment policies, skill enhancement programs, and institutional support mechanisms. Furthermore, the positive correlation between higher education and employment outcomes affirms the critical role of investing in rural education, digital literacy, and demand-driven skill development. The analysis also highlights that individuals from lower-income households and those engaged in casual non-agricultural work face heightened unemployment risks, indicating the structural vulnerability of informal rural employment. In contrast, regular salaried jobs and agricultural labour offer greater employment security. Practical Implications: Based on these insights, the study advocates for a multi-pronged policy approach that prioritizes formalization of rural employment, expansion of vocational training, and inclusive economic strategies tailored to the needs of disadvantaged populations. Such interventions are essential for fostering sustainable livelihoods and reducing unemployment in rural Haryana. Originality/Value: