IDEAS home Printed from https://ideas.repec.org/a/spr/ijlaec/v67y2024i3d10.1007_s41027-024-00510-8.html
   My bibliography  Save this article

Youth Unemployment in India: Do Aspirations Matter?

Author

Listed:
  • Basit Abdullah

    (Centre for Development Studies)

  • Vinoj Abraham

    (Centre for Development Studies)

  • Ritika Jain

    (Centre for Development Studies)

Abstract

An often discussed but less researched dimension of youth unemployment is voluntary unemployment caused by the mismatch between available opportunities in the labour market and employment aspirations. In this paper, we attempt to explore this misalignment between employment aspirations and the jobs in the labour market as a factor responsible for higher incidence of unemployment among youth. We build a measure of relative occupational aspirations based on the premise that aspirations are shaped by the socio-economic context and educational attainment of an individual. Our analysis provides evidence for a lack of employment opportunities that satisfy the employment aspirations of the youth. The mismatch between aspirations and opportunities measured as relative occupational aspirations gap, is particularly high among youth with tertiary education, and female youth have higher aspirations gap compared to males. Based on our analysis, which includes both multinomial probit and instrument variable (IV) probit models, we find that youth with higher aspirations gap are more likely to be unemployed. We argue that increasing educational levels raise job-related expectations and aspirations. The lack of quality employment opportunities matching the aspirations could be a contributing factor to higher unemployment among youth. An effective policy approach requires the creation of better-quality jobs that align with the aspirations of young, educated labour force.

Suggested Citation

  • Basit Abdullah & Vinoj Abraham & Ritika Jain, 2024. "Youth Unemployment in India: Do Aspirations Matter?," The Indian Journal of Labour Economics, Springer;The Indian Society of Labour Economics (ISLE), vol. 67(3), pages 883-908, September.
  • Handle: RePEc:spr:ijlaec:v:67:y:2024:i:3:d:10.1007_s41027-024-00510-8
    DOI: 10.1007/s41027-024-00510-8
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s41027-024-00510-8
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s41027-024-00510-8?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. David Card & Thomas Lemieux, 2001. "Can Falling Supply Explain the Rising Return to College for Younger Men? A Cohort-Based Analysis," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 116(2), pages 705-746.
    2. Mehrotra, Santosh K., 2019. "Informal employment trends in the Indian economy persistent informality, but growing positive development," ILO Working Papers 995066393502676, International Labour Organization.
    3. Sarkar, Sudipa & Chakravorty, Bhaskar & Lyonette, Clare, 2020. "Social Identity and Aspiration - Double Jeopardy or Intersectionality? Evidence from Rural India," GLO Discussion Paper Series 724, Global Labor Organization (GLO).
    4. Stephan Klasen & Janneke Pieters, 2015. "What Explains the Stagnation of Female Labor Force Participation in Urban India?," The World Bank Economic Review, World Bank, vol. 29(3), pages 449-478.
    5. G. M. Arif & Nusrat Chaudhry, 2008. "Demographic Transition and Youth Employment in Pakistan," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 47(1), pages 27-70.
    6. Douglas Staiger & James H. Stock, 1997. "Instrumental Variables Regression with Weak Instruments," Econometrica, Econometric Society, vol. 65(3), pages 557-586, May.
    7. Akerlof George A & Kranton Rachel, 2010. "Identity Economics," The Economists' Voice, De Gruyter, vol. 7(2), pages 1-3, June.
    8. Esha Chatterjee & Sonalde Desai & Reeve Vanneman, 2018. "Indian paradox: Rising education, declining womens' employment," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 38(31), pages 855-878.
    9. Jeemol Unni, 2016. "Skill Gaps and Employability: Higher Education in India," Journal of Development Policy and Practice, , vol. 1(1), pages 18-34, January.
    10. Garance Genicot & Debraj Ray, 2017. "Aspirations and Inequality," Econometrica, Econometric Society, vol. 85, pages 489-519, March.
    11. Anandi Mani & Emma Riley, 2019. "Social networks, role models, peer effects, and aspirations," WIDER Working Paper Series wp-2019-120, World Institute for Development Economic Research (UNU-WIDER).
    12. Garance Genicot & Debraj Ray, 2020. "Aspirations and Economic Behavior," Annual Review of Economics, Annual Reviews, vol. 12(1), pages 715-746, August.
    13. Joshua D. Angrist & Alan B. Keueger, 1991. "Does Compulsory School Attendance Affect Schooling and Earnings?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 106(4), pages 979-1014.
    14. Jepsen, Christopher, 2008. "Multinomial probit estimates of college completion at 2-year and 4-year schools," Economics Letters, Elsevier, vol. 98(2), pages 155-160, February.
    15. Paul Ryan, 2001. "The School-to-Work Transition: A Cross-National Perspective," Journal of Economic Literature, American Economic Association, vol. 39(1), pages 34-92, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Angel de la Fuente & Antonio Ciccone, 2003. "Human capital in a global and knowledge-based economy," UFAE and IAE Working Papers 562.03, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC).
    2. Andrea Ichino & Rudolf Winter-Ebmer, 2004. "The Long-Run Educational Cost of World War II," Journal of Labor Economics, University of Chicago Press, vol. 22(1), pages 57-86, January.
    3. Michele Campolieti & Tony Fang & Morley Gunderson, 2010. "Labour Market Outcomes and Skill Acquisition of High-School Dropouts," Journal of Labor Research, Springer, vol. 31(1), pages 39-52, March.
    4. Meng, Xin & Zhao, Guochang, 2021. "The long shadow of a large scale education interruption: The intergenerational effect," Labour Economics, Elsevier, vol. 71(C).
    5. Harmon, Colm & Hogan, Vincent & Walker, Ian, 2003. "Dispersion in the economic return to schooling," Labour Economics, Elsevier, vol. 10(2), pages 205-214, April.
    6. Whitney K. Newey & Frank Windmeijer, 2005. "GMM with many weak moment conditions," CeMMAP working papers CWP18/05, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    7. Thomas Lemieux, 2014. "Occupations, fields of study and returns to education," Canadian Journal of Economics, Canadian Economics Association, vol. 47(4), pages 1047-1077, November.
    8. Chhavi Tiwari & Srinivas Goli & Anu Rammohan, 2022. "Reproductive Burden and Its Impact on Female Labor Market Outcomes in India: Evidence from Longitudinal Analyses," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 41(6), pages 2493-2529, December.
    9. Chad Turner & Robert Tamura & Sean Mulholland & Scott Baier, 2007. "Education and income of the states of the United States: 1840–2000," Journal of Economic Growth, Springer, vol. 12(2), pages 101-158, June.
    10. Plamen Nikolov & Steve Yeh, 2021. "Reaping the Rewards Later: How Education Improves Old-Age Cognition in South Africa," Papers 2109.02177, arXiv.org, revised Oct 2021.
    11. Holmlund, Helena, 2007. "A Researcher's Guide to the Swedish Compulsory School Reform," Working Paper Series 9/2007, Stockholm University, Swedish Institute for Social Research.
    12. Sonalde Desai & Omkar Joshi, 2019. "The Paradox of Declining Female Work Participation in an Era of Economic Growth," The Indian Journal of Labour Economics, Springer;The Indian Society of Labour Economics (ISLE), vol. 62(1), pages 55-71, March.
    13. Uwaifo Oyelere, Ruth, 2010. "Africa's education enigma? The Nigerian story," Journal of Development Economics, Elsevier, vol. 91(1), pages 128-139, January.
    14. Belzil, Christian & Hansen, Jorgen, 2007. "A structural analysis of the correlated random coefficient wage regression model," Journal of Econometrics, Elsevier, vol. 140(2), pages 827-848, October.
    15. Clark, Damon & Fahr, René, 2001. "The Promise of Workplace Training for Non-College-Bound Youth: Theory and Evidence from German Apprenticeship," IZA Discussion Papers 378, Institute of Labor Economics (IZA).
    16. Antonio Filippin & Luca Nunziata, 2019. "Monetary effects of inequality: lessons from the euro experiment," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 17(2), pages 99-124, June.
    17. Okoampah, Sarah, 2016. "Cohort size effects on wages, working status, and work time," Ruhr Economic Papers 629, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    18. Guilhem Bascle, 2008. "Controlling for endogeneity with instrumental variables in strategic management research," Post-Print hal-00576795, HAL.
    19. Christian Belzil, 2008. "Testing the Specification of the Mincer Wage Equation," Annals of Economics and Statistics, GENES, issue 91-92, pages 427-451.
    20. Diego Battistón & Carolina García-Domench & Leonardo Gasparini, 2014. "Could an Increase in Education Raise Income Inequality? Evidence for Latin America," Latin American Journal of Economics-formerly Cuadernos de Economía, Instituto de Economía. Pontificia Universidad Católica de Chile., vol. 51(1), pages 1-39, May.

    More about this item

    Keywords

    Youth; Employment; Aspirations; Unemployment;
    All these keywords.

    JEL classification:

    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure
    • 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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:ijlaec:v:67:y:2024:i:3:d:10.1007_s41027-024-00510-8. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.