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Status of Vocational Education and Wage Gap in the Indian Economy: Empirical Evidence

Author

Listed:
  • Harshil Sharma

    (Indus Action)

  • Minaketan Beher

    (Jawaharlal Nehru University)

  • Santosh Mehrotra

    (University of Bath)

Abstract

Vocational education in India has been gaining recognition and quality to bridge the wage gap between skills and employability. The relationship between vocational education and the wages in the Indian economy is complex and multifaceted. Skills mismatch, sectoral nuances, gender imbalances, and geographical factors contribute to the wage gap. This paper seeks to measure and quantify skills in the Indian economy by taking vocational education as a loose proxy of skills. The article tries to explain the current status of technical and vocational education in India critically analysing current skilling policy ecosystem. The paper also deals with wage gap analysis and locating wage inequality across sectors and occupations trying to find the extent of wage inequality in the Indian economy. Mincer regression analysis is conducted in the paper with two model analyses, that is Ordinary Least Square (OLS) and Heckman Sample Selection Model, to check whether vocational education positively and significantly affects the wages of individuals in India. This paper reveals three conclusions, that is the duration of courses taught through vocational education is decreasing, the extent of wage inequality across occupations and across sectors over time is increasing in the Indian economy. Positive relationship between vocational education and wages existed in Indian economy from 2011–12 to 2017–18 and now relation shows insignificant results in 2023–24 which plausibly maybe due to influx of short-term courses. Skill development policies path taken by policymakers may prove problematic in the long run as the duration of skill development courses is decreasing, relationship with wages has become insignificant which would have a detrimental effect on the quality of the training offered in the case of India.

Suggested Citation

  • Harshil Sharma & Minaketan Beher & Santosh Mehrotra, 2025. "Status of Vocational Education and Wage Gap in the Indian Economy: Empirical Evidence," The Indian Journal of Labour Economics, Springer;The Indian Society of Labour Economics (ISLE), vol. 68(1), pages 221-238, March.
  • Handle: RePEc:spr:ijlaec:v:68:y:2025:i:1:d:10.1007_s41027-025-00558-0
    DOI: 10.1007/s41027-025-00558-0
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    References listed on IDEAS

    as
    1. Moenjak, Thammarak & Worswick, Christopher, 2003. "Vocational education in Thailand: a study of choice and returns," Economics of Education Review, Elsevier, vol. 22(1), pages 99-107, February.
    2. Vinoj Abraham, 2010. "The Effect of Information Technology on Wage Inequality: Evidence from Indian Manufacturing Sector," Working Papers id:3180, eSocialSciences.
    3. Santosh Mehrotra & Jajati K. Parida, 2021. "Stalled Structural Change Brings an Employment Crisis in India," The Indian Journal of Labour Economics, Springer;The Indian Society of Labour Economics (ISLE), vol. 64(2), pages 281-308, June.
    4. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    5. Satinder Singh & Jajati K. Parida, 2022. "Employment and Earning Differentials Among Vocationally Trained Youth: Evidence from field studies in Punjab and Haryana in India," Millennial Asia, , vol. 13(1), pages 142-172, April.
    6. Kalyan Singhal & Jaya Singhal, 2022. "Technology and manufacturing‐and‐service operations since the Industrial Revolution," Production and Operations Management, Production and Operations Management Society, vol. 31(12), pages 4276-4282, December.
    7. Crouch, Colin & Finegold, David & Sako, Mari, 2001. "Are Skills the Answer?: The Political Economy of Skill Creation in Advanced Industrial Countries," OUP Catalogue, Oxford University Press, number 9780199241118, Decembrie.
    8. Jaeger, David A & Page, Marianne E, 1996. "Degrees Matter: New Evidence on Sheepskin Effects in the Returns to Education," The Review of Economics and Statistics, MIT Press, vol. 78(4), pages 733-740, November.
    9. Tanima Banerjee, 2016. "Impacts of Vocational Education and Training on Employment and Wages in Indian Manufacturing Industries: Variation across Social Groups—Empirical Evidences from the 68th Round NSSO Data," The Indian Journal of Labour Economics, Springer;The Indian Society of Labour Economics (ISLE), vol. 59(4), pages 489-509, December.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Skills; Vocational education; Wage gap; Indian economy; Mincer regression;
    All these keywords.

    JEL classification:

    • I20 - Health, Education, and Welfare - - Education - - - General
    • I26 - Health, Education, and Welfare - - Education - - - Returns to Education
    • 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
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials

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