Education-Job Mismatch and its Effect on Income in Nagaland
By: Chubaienla Imchen Temjenzulu Y. Jamir
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Material type: 
BookPublisher: The Indian Journal of Labour Economics Description: 68(4), Oct-Dec, 2025: p.1475-1490.Subject(s): Higher education, Vertical mismatch, Horizontal mismatch, Double mismatch, Income, OLS regression
In:
The Indian Journal of Labour EconomicsSummary: The research attempts to evaluate the effects of education-job mismatch on income in Nagaland. A dataset of 450 employees who completed higher education was classified by occupational groups using the ISCO-08 code. The data were analysed employing the job analysis (JA) method to assess the extent of education-job mismatch. Using the ordinary least squares (OLS) regression method, the study measures how different types of mismatches (vertical, horizontal, and double) affect income. Education-job mismatch substantially affects income, as indicated by the results. Specifically, overeducation and horizontal mismatch lead to income reductions of 1.190 and 0.235 times, respectively, highlighting their negative effects. These findings emphasised that educational curricula should align with labour market needs, and labour market systems should predict skill demands for targeted upskilling. Technical and vocational education and training (TVET) programmes should focus on mid-level skills. To reduce gender-based income disparities, flexible work, and mentorship for women in STEM (Science, Technology, Engineering, and Mathematics).-Reproduced
https://link.springer.com/article/10.1007/s41027-025-0059
| Item type | Current location | Call number | Vol info | Status | Date due | Barcode |
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Articles
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Indian Institute of Public Administration | 68(4), Oct-Dec, 2025: p.1475-1490 | Available | AR138519 |
The research attempts to evaluate the effects of education-job mismatch on income in Nagaland. A dataset of 450 employees who completed higher education was classified by occupational groups using the ISCO-08 code. The data were analysed employing the job analysis (JA) method to assess the extent of education-job mismatch. Using the ordinary least squares (OLS) regression method, the study measures how different types of mismatches (vertical, horizontal, and double) affect income. Education-job mismatch substantially affects income, as indicated by the results. Specifically, overeducation and horizontal mismatch lead to income reductions of 1.190 and 0.235 times, respectively, highlighting their negative effects. These findings emphasised that educational curricula should align with labour market needs, and labour market systems should predict skill demands for targeted upskilling. Technical and vocational education and training (TVET) programmes should focus on mid-level skills. To reduce gender-based income disparities, flexible work, and mentorship for women in STEM (Science, Technology, Engineering, and Mathematics).-Reproduced
https://link.springer.com/article/10.1007/s41027-025-0059
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