Active Ageing and Labour Market Outcomes—An Analysis Using Survey Data in Urban India

This paper undertakes an analysis of labour market outcomes among aging population in Indian labour market by using household and personal level characteristics obtained from periodic labour force survey (PLFS) data for 2023-2024. It provides an analysis of the association of demographic and household characteristics with probability of choosing either paid-employment or self-employment by applying discrete choice model, after controlling for sample selection bias.By following strategic choice framework, endogenous sample selected probit model is used in finding out the role of different covariates in determining the chance of continuing work in self-employment and wage employment of any type after the age of statutory retirement. Social, economic, and other factors like gender are considered as key factors towards labour market participation of the aging population. This study examines the effects of age and education on decision to choose type of employment by the people beyond their statutory retirement age. The coefficient of female dummy is positive in regular-paid jobs and unpaid household work, but negative for own accounts work and employer irrespective of age cohorts suggesting that women are more likely to continue as regular paid jobs and unpaid household work, but less likely to be employer and own account worker as compared to men even after age 60 years and above.