Abstract
This paper uses a parametric logistic regression to identify the main factors associated with the probability of participating in the labour force. The regression has been applied to PLFS 2017-18 unit-level data of Haryana State. The results indicate that belonging to a large family size, being a female, and belonging to a middle level of income earning family are all factors that negatively impact the probability of being in the labour market. However, years in education, being married and belonging to a family with more jobs positively impact the probability of being in the labour market. Based on the empirical results, the paper suggests policy options to overcome the labour market's main challenges. These policies focus on developing a sustainable strategy for increasing the labour force participation rate in Haryana; empowering females in rural areas; improving working conditions, reviewing the early retirement policy; improving education quality and encouraging enrolment in higher education, and adopting balanced development policies among both Eastern and Western regions of Haryana.
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