“Situating Social kinship in association with Life Conditions among Older Adults Aged 60 & above through an Intersectional lens: A Propensity Score Matching Analysis.”

Shreyantika Nandi, Doctoral Fellow
Dr. Harihar Sahoo, International Institute for Population Sciences, Mumbai

People as they age tend to get cut off from society. Social kinship which is not based on blood or marriage and plays a climacteric role at this stage. The study explores the association between social kinship and life condition using the Longitudinal Ageing Study in India, Wave 1,2027-18 data of 20,536 elderly aged 60 and above. The life condition has been assessed considering five domains i.e. physical capabilities, health diseases, psychological distress, social capital, and life satisfaction. Exploratory factor analysis with promax rotation was employed to construct the life condition index. Multiple linear regression and propensity score matching analyses were conducted to show the association between treatment and outcome variables. Dominance analysis was employed to reveal the relative share of factors for social kinship. For the overall population, non-marginal and marginal populations, the life condition score is respectively 0.54, 0.54, and 0.89 times higher for those having social kinship. Similarly, PSM reveals that the average treatment effect on treated (ATT) i.e. 1.48, 2.12, and 0.87 is significantly higher for those having social kins for all three cases. Dominance analysis shows education holds the highest relative share i.e. nearly 34% for social kinship among the overall population.

Keywords: Families, Unions and Households, Longitudinal studies , Social network methods, Population Ageing

See extended abstract.