Mismatch antara Bidang Pendidikan dan Pekerjaan Tidak Selamanya Merugikan: Studi Empiris tentang Kesenjangan Upah Lulusan SMK

This study analyzes wage differentials between vocational high school graduates in Indonesia who work in jobs aligned with their field of training and those who work outside their field, using data from the 2024 National Labor Force Survey. The analytical methods include the Heckman two-step selection model to correct for labor force participation bias, separate OLS regressions for each group, and the Blinder-Oaxaca decomposition to identify the sources of wage disparities. The results show that horizontal mismatch has significant implications for wage structures. Although the average wage difference between matched and mismatched groups is not statistically significant, the decomposition analysis reveals that most of the wage gap arises from differences in observable characteristics, along with a significant influence of unobserved factors (unexplained). These findings suggest that vocational mismatch affects not only labor market efficiency but also wage distribution, which should be taken into account in vocational education and employment policy design.

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Publication Details

Journal
Jurnal Informatika Ekonomi Bisnis
Published
2025-06-30
DOI
https://doi.org/10.37034/infeb.v7i2.1176
Primary Topic
Labor market dynamics and wage inequality
Type
article
Field-Weighted Citation Impact
0.00
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article

Mismatch antara Bidang Pendidikan dan Pekerjaan Tidak Selamanya Merugikan: Studi Empiris tentang Kesenjangan Upah Lulusan SMK

Nurul Nadwa Zulkifli, Tetri Desvira
Jurnal Informatika Ekonomi Bisnis
Labor market dynamics and wage inequality
article

Mismatch antara Bidang Pendidikan dan Pekerjaan Tidak Selamanya Merugikan: Studi Empiris tentang Kesenjangan Upah Lulusan SMK

Nurul Nadwa Zulkifli, Tetri Desvira
article en

Abstract

This study analyzes wage differentials between vocational high school graduates in Indonesia who work in jobs aligned with their field of training and those who work outside their field, using data from the 2024 National Labor Force Survey. The analytical methods include the Heckman two-step selection model to correct for labor force participation bias, separate OLS regressions for each group, and the Blinder-Oaxaca decomposition to identify the sources of wage disparities. The results show that horizontal mismatch has significant implications for wage structures. Although the average wage difference between matched and mismatched groups is not statistically significant, the decomposition analysis reveals that most of the wage gap arises from differences in observable characteristics, along with a significant influence of unobserved factors (unexplained). These findings suggest that vocational mismatch affects not only labor market efficiency but also wage distribution, which should be taken into account in vocational education and employment policy design.

Jurnal Informatika Ekonomi Bisnis
Andalas University (ID)
Decent work and economic growth
Openalex Percentile: Top 73%
Labor market dynamics and wage inequality
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