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Education and women in high-skill occupations in India

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Purpose This paper aims to examine women’s likelihood of being employed in a high-skill occupation compared to men in India. It also analyses the impact of education on women’s likelihood of entering a high-skill occupation. Design/methodology/approach This study uses data from Periodic Labour Force Survey 2018–19. National Classification of Occupations 2004 is used to classify the occupations in three categories, i.e. high-skill, medium-skill and low-skill. The paper uses ordered probit with Heckman’s sample selection method to estimate the impact of gender identity and education on women’s likelihood of entering high-skill occupations. Findings The results show that female workers are more likely to be employed in high-skill occupations than male workers. Formal years of schooling and technical education further improve women’s probability of working in high-skill occupations compared to men. However, an increase in monthly per capita expenditure of the households improves men’s chances of being employed in high-skill occupations in comparison to women. It suggests that gender norms are still relevant. Originality/value Studies have found occupational segregation in India with a large share of women being employed in low-wage work. This study examines the issue by focusing on the skill level of occupations. It found that women have a higher likelihood of entering high-skill occupations in India and education is playing an important role in it.
Title: Education and women in high-skill occupations in India
Description:
Purpose This paper aims to examine women’s likelihood of being employed in a high-skill occupation compared to men in India.
It also analyses the impact of education on women’s likelihood of entering a high-skill occupation.
Design/methodology/approach This study uses data from Periodic Labour Force Survey 2018–19.
National Classification of Occupations 2004 is used to classify the occupations in three categories, i.
e.
high-skill, medium-skill and low-skill.
The paper uses ordered probit with Heckman’s sample selection method to estimate the impact of gender identity and education on women’s likelihood of entering high-skill occupations.
Findings The results show that female workers are more likely to be employed in high-skill occupations than male workers.
Formal years of schooling and technical education further improve women’s probability of working in high-skill occupations compared to men.
However, an increase in monthly per capita expenditure of the households improves men’s chances of being employed in high-skill occupations in comparison to women.
It suggests that gender norms are still relevant.
Originality/value Studies have found occupational segregation in India with a large share of women being employed in low-wage work.
This study examines the issue by focusing on the skill level of occupations.
It found that women have a higher likelihood of entering high-skill occupations in India and education is playing an important role in it.

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