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Time-Use Patterns of Youth in India (2019): NEET vs. others

Author

Listed:
  • Ronak Maheshwari

    ((corresponding author) Ph.D. Research Scholar, Madras School of Economics, Chennai, Tamil Nadu, India, 600025)

  • Brinda Viswanathan

    (Professor, Madras School of Economics, Chennai, Tamil Nadu, India, 600025)

Abstract

This study analyzes the covariates of the time spent on education and leisure of the youth who are Not in Employment, Education, or Training focusing (NEET). Based on the 2019 Time Use Survey for youth in India the study estimates a two-stage control function to examine the covariates that explain the share of time spent on learning among NEET after accounting for the potential endogeneity of NEET status. The first stage probit model predicts the probability of NEET using average income of, and regional unemployment rate among adults (30-65 years) aggregated by state, district, and education level from PLFS (2018-19) as instruments. The generalized residuals (Inverse Mills Ratio) are then included as an explanatory variable in the second stage GLM with a logit link and binomial family. The selection coefficient for men and women have opposing signs, suggesting the difference in unobserved characteristics that drive men and women into NEET to explain the gender differentials in time-use patterns in India. The share of time spent on learning among NEET youth is significantly positively associated with better education, urban residence, access to some type of labor-saving technologies in their homes, and residing in Northern India, for both males and females. The study highlights the heterogeneity within NEET youth and underscores the need for policies tailored to their specific characteristics.

Suggested Citation

  • Ronak Maheshwari & Brinda Viswanathan, 2025. "Time-Use Patterns of Youth in India (2019): NEET vs. others," Working Papers 2025-280, Madras School of Economics,Chennai,India.
  • Handle: RePEc:mad:wpaper:2025-280
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    More about this item

    Keywords

    NEET; Youth Unemployment; Time-Use;
    All these keywords.

    JEL classification:

    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search
    • P36 - Political Economy and Comparative Economic Systems - - Socialist Institutions and Their Transitions - - - Consumer Economics; Health; Education and Training; Welfare, Income, Wealth, and Poverty

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