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

Author

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  • 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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    References listed on IDEAS

    as
    1. Athary Janiso & Prakash Kumar Shukla & Bheemeshwar Reddy A, 2024. "What explains the gender gap in unpaid housework and care work in India?," Development Policy Review, Overseas Development Institute, vol. 42(1), January.
    2. Ronak Maheshwari & Brinda Viswanathan, 2024. "Role of Social Networks in Youth Activity Status in India: A Gendered Analysis," Margin: The Journal of Applied Economic Research, National Council of Applied Economic Research, vol. 18(3-4), pages 223-254, November.
    3. Alessandra Costagliola, 2021. "Labor Participation and Gender Inequalities in India: Traditional Gender Norms in India and the Decline in the Labor Force Participation Rate (LFPR)," The Indian Journal of Labour Economics, Springer;The Indian Society of Labour Economics (ISLE), vol. 64(3), pages 531-542, September.
    4. Verónica Amarante & Cecilia Rossel, 2018. "Unfolding Patterns of Unpaid Household Work in Latin America," Feminist Economics, Taylor & Francis Journals, vol. 24(1), pages 1-34, January.
    5. Papke, Leslie E & Wooldridge, Jeffrey M, 1996. "Econometric Methods for Fractional Response Variables with an Application to 401(K) Plan Participation Rates," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(6), pages 619-632, Nov.-Dec..
    6. Biddle, Jeff E & Hamermesh, Daniel S, 1990. "Sleep and the Allocation of Time," Journal of Political Economy, University of Chicago Press, vol. 98(5), pages 922-943, October.
    7. Drèze, Jean & Khera, Reetika, 2017. "Recent Social Security Initiatives in India," World Development, Elsevier, vol. 98(C), pages 555-572.
    8. Li, Nicholas, 2023. "Women’s work in India: Evidence from changes in time use between 1998 and 2019," World Development, Elsevier, vol. 161(C).
    9. Benoit Millot & Julia Lane, 2002. "The Efficient Use of Time in Education," Education Economics, Taylor & Francis Journals, vol. 10(2), pages 209-228.
    10. Matthew Gibson & Jeffrey Shrader, 2018. "Time Use and Labor Productivity: The Returns to Sleep," The Review of Economics and Statistics, MIT Press, vol. 100(5), pages 783-798, December.
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    Keywords

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    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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