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All Journal JURNAL ECONOMIA Jurnal Ilmu Sosial dan Humaniora Jurnal Vokasi Indonesia Jurnal Samudra Ekonomi dan Bisnis Economics and Finance in Indonesia MUWAZAH: Jurnal Kajian Gender Jurnal Ekonomi Pembangunan Jurnal Pendidikan Manajemen Perkantoran (JPManper) Jurnal Ekonomi Pembangunan Jurnal Vokasi Indonesia Economic and Finance in Indonesia
Wicaksono, Padang
Faculty Of Economic And Business, Universitas Indonesia
Arts Humanities Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Health Professions Public Health Social Sciences Other

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Journal : Jurnal Ekonomi Pembangunan

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The determinant of educational mismatch and its correlation to wages Ferry Maurist Sitorus; Padang Wicaksono
Jurnal Ekonomi Pembangunan Vol. 18 No. 2 (2020): Jurnal Ekonomi Pembangunan
Publisher : Department of Development Economics, Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29259/jep.v18i2.12788

Abstract

The mismatch between educational and occupational qualifications is an issue that still frequently occurs in the Indonesian job market. This study aims to sudy the probability of educational mismatch in workers and how it was related to the wages received. The data used in this study was gained from the National Labor Force Survey (Sakernas) August 2019. The unit of analysis used are workers that have status as labor/employee/employees who are 15 years old and above. Contingency coefficient analysis was used to investigate the correlation between mismatch and workers’ wages, and multinomial logistic regression analysis was used to investigate the determinants of educational mismatch. The results showed that educational mismatch in the Indonesian labor market was still quite high, in which from a total sample of 178.085 workers / laborers, 25,79% were overeduaction and 17,98% were undereducation. The results of the contingency coefficient showed that there was a correlation between educational mismatch status and workers' wages. Then based on the result of the multinomial logistic regression test, it was found that workers with overeducation status had a greater chance of those who had a longer length of schooling, who were male and urban, while workers with undereducation status had a greater chance of those with shorter school years, who were female and live in rural areas.
The Effect of Educational Mismatch on Wages: A Comparative Study of Migrant and Native Workers Ferry Maurist Sitorus; Padang Wicaksono
Jurnal Ekonomi Pembangunan Vol. 19 No. 2 (2021): Jurnal Ekonomi Pembangunan
Publisher : Department of Development Economics, Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29259/jep.v19i2.13937

Abstract

One of the important issues in the Indonesian labor market is an educational mismatch. And one of the implications caused by educational mismatch is that the wages received are unsuitable with the educational qualifications have. This study attempts to relate the educational mismatch phenomenon to the issue of internal migration. Hence, this study aimed to reveal the effect of educational mismatch on the earning of workers, especially migrant and native workers. The discussion of educational mismatch was more specific to migrant workers and native workers because these two types of workers had quite different potential earnings. The data used in this research were gained from the National Labor Force Survey (SAKERNAS) in August 2019. The unit of analysis used was workers with labor/employees’ status other than TNI/POLRI aged 15-64 years and over. The results showed that migrant workers were more likely to experience over education than native workers, and native workers were more likely to experience undereducation than migrant workers. Then, based on the results of the multiple linear regression analysis, it was found that migrant workers encountered greater wage penalties than native workers.
Co-Authors Diah Ayu Utami Ferry Maurist Sitorus Ferry Maurist Sitorus Ghafur, A Hanif Saha Ida Ayu Wayan Regita Iswari Puri Istiadi Lia Gustina Lionel Priyadi Lionel Priyadi Lusiyanti Lusiyanti Lusiyanti, Lusiyanti Oscar Vitriano Perdani, Esti Wahyu Priyadi, Lionel Tjiptoheriyanto, Prijono Vitriano, Oscar