Returns to Tertiary Education among Employed Individuals in Indonesia: Propensity Score Matching Evidence

Rodhiah Umaroh, Hariestya Zaki Akmal Aulia, Farrel Setya Kumara, Gabriel Willbert Gedoan, Muhammad Zaki Alamsyah, Nicolaus Berwyn Atmaja, Ahmad Hidayat, Dania Hellin Amrina

Abstract


Tertiary education is associated with higher earnings, yet its income returns among employed individuals in Indonesia require further examination. This study examines the income advantage associated with tertiary education using cross-sectional data from the fifth wave of the Indonesian Family Life Survey, involving 1,112 employed individuals. Propensity Score Matching (PSM) was applied to reduce observable selection bias and estimate the Average Treatment Effect on the Treated (ATT). Propensity scores were estimated using disability status, household size, household income, parental education, sex, and residence. Nearest-Neighbor, Kernel, and Radius-Caliper Matching were employed to assess robustness. The results indicate improved comparability between treatment and control groups, with Kernel and Radius-Caliper estimates showing that tertiary-educated workers earned approximately 37.74%–44.27% more than comparable workers with secondary education or below. Household income and parental education were positively associated with tertiary-education completion, indicating unequal access. These findings highlight the importance of equitable educational access, improved educational quality, and stronger alignment between graduate competencies and labor-market demands.


Full Text:

PDF

References


Baktash, M. B. (2025). Overeducation, performance pay and wages: Evidence from Germany. Education Economics, 34(4), 529–549. https://doi.org/10.1080/09645292.2025.2546445

Becker, G. (1964). Human capital: A theoretical and empirical analysis, with special reference to education. Princeton University Press.

Douglas, D., Roig, B. B., & Valencia, V. C. (2024). Determining factors of educational opportunities: Reflections on intergenerational educational mobility. International Journal of Religion, 5(10), 127–135. https://doi.org/10.61707/2zx1mr31

Hendajany, N., Widodo, T., & Sulistyaningrum, E. (2016). Human capital versus the signaling hypotheses: The case of Indonesia. Journal of Indonesian Economy and Business, 31(1), 192. https://doi.org/10.22146/jieb.15290

Huntington-Klein, N. (2021). Human capital versus signaling is empirically unresolvable. Empirical Economics, 60(5), 2499–2531. https://doi.org/10.1007/s00181-020-01837-z

Kimbal, R. W. (2020). Strengthening human capital through social capital (a study on Kacang Tore small enterprise). International Journal of Applied Business and International Management, 5(1), 12–22. https://doi.org/10.32535/ijabim.v5i1.763

Kriesi, I., & Sander, F. (2024). Academic or vocational education? A comparison of the long-term wage development of academic and vocational tertiary degree holders. Journal for Labour Market Research, 58(1), Article 10. https://doi.org/10.1186/s12651-024-00368-9

Li, X., Xie, W., Wang, L., & Zou, T. (2023). Can impoverished family nurture rich sons any more? The effect of household income on intergenerational transmission of education: Evidence from China. Frontiers in Psychology, 14, Article 1116217. https://doi.org/10.3389/fpsyg.2023.1116217

Liu, X. (2023). Household income and education: An empirical research based on CFPS. Advances in Economics, Management and Political Sciences. https://doi.org/10.54254/2754-1169/37/20231828

Mulyaningsih, T., Adhitya, D., & Rosalia, A. C. T. (2021). Education, skills and labour market outcome in Indonesia: An instrumental variable approach. Economic Journal of Emerging Markets, 13(2), 168–177. https://doi.org/10.20885/ejem.vol13.iss2.art6

Novriansyah, M., Mopangga, H., & Yakup, A. (2025). The relationship between education level and population structure on labor absorption in Gorontalo Province. Journal of International Conference Proceedings, 8(1), 258–268. https://doi.org/10.32535/jicp.v8i1.3930

Nuryadin, D., Sultan, Umaroh, R., Darpito, S. H., Rahmanda, G. A., & Cesario, I. B. P. (2023). Examining the efficacy of conditional cash transfer programs in reducing poverty in Yogyakarta, Indonesia. Journal of Economic Development, 48(4), 141–153. https://doi.org/10.35866/caujed.2023.48.4.007

Pang, S. (2023). College hierarchy and market returns: Evidence from CFPS2010 adult data. Journal of Education and Educational Research, 4(1), 117–123. https://doi.org/10.54097/jeer.v4i1.10226

Ponce, P., Robles, S., Alvarado, R., & Ortiz, C. (2019). Efecto del capital humano en la brecha de ingresos: Un enfoque utilizando propensity score matching. 29(29), 25–48. https://doi.org/10.25097/REP.N29.2019.02

Prihatini, J., & Zulaika, S. (2022). The effective of policy in Karawang Regency towards change profession in Sirnabaya Village, East of Telukjambe District. International Journal of Applied Business and International Management, 7(3). https://doi.org/10.32535/ijabim.v7i3.1720

Pritadrajati, D. S. (2022). From school to work: Does vocational education improve labour market outcomes? An empirical analysis of Indonesia. Buletin Ekonomi Moneter dan Perbankan, 25(3), 471–492. https://doi.org/10.21098/bmeb.v25i3.1315

Purnastuti, L., Miller, P., & Salim, R. (2011). Economic returns to schooling in a less developed country: Evidence for Indonesia. International Conference on Applied Economics, 495–502.

Roring, G. D. J., & Rondonuwu, D. B. (2022). The effect of education and unemployment rate on poverty rate of 4 cities in North Sulawesi. Journal of International Conference Proceedings, 5(2), 212–221. https://doi.org/10.32535/jicp.v5i2.1686

Shiba, K., & Kawahara, T. (2021). Using propensity scores for causal inference: Pitfalls and tips. Journal of Epidemiology, 31(8), Article JE20210145. https://doi.org/10.2188/jea.JE20210145

Siramaneerat, I., Astutik, E., Agushybana, F., Bhumkittipich, P., & Lamprom, W. (2024). Examining determinants of stunting in urban and rural Indonesian: A multilevel analysis using the population-based Indonesian Family Life Survey (IFLS). BMC Public Health, 24(1), Article 1371. https://doi.org/10.1186/s12889-024-18824-z

Sukanti, N., & Sulistyaningrum, E. (2022). Mismatch effect between education, workers, and occupations on the labor market in Indonesia. Southeast Asian Journal of Economics, 10(3), 103–133.

Tompsett, J., & Knoester, C. (2023). Family socioeconomic status and college attendance: A consideration of individual-level and school-level pathways. PLOS ONE, 18(4), Article e0284188. https://doi.org/10.1371/journal.pone.0284188

Wicaksono, P., Theresia, I., & Aufa, B. Al. (2023). Education–occupation mismatch and its wage penalties: Evidence from Indonesia. Cogent Business & Management, 10(3). https://doi.org/10.1080/23311975.2023.2251206

Yuniashri, E., Susilo, S., & Wahyudi, S. T. (2022). Disparities and female labor force participation. Journal of International Conference Proceedings, 5(4), 239–248.

Zuama, M., Sudiarditha, I. K. R., & Wolor, C. W. (2023). Leadership determination and training effectiveness on employee performance through work motivation mediation. International Journal of Applied Business and International Management, 8(1), 113–127. https://doi.org/10.32535/ijabim.v8i1.2132




DOI: https://doi.org/10.32535/jicp.v9i4.5176

Refbacks

  • There are currently no refbacks.


Copyright (c) 2026 Rodhiah Umaroh

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

Flag Counter

Published by:

AIBPM Publisher

Editorial Office:

JL. Kahuripan No. 9 Hotel Sahid Montana, Malang, Indonesia
Phone:
+62 341 366222
Email: journal.jicp@gmail.com
Website:http://ejournal.aibpmjournals.com/index.php/JICP

Supported by: Association of International Business & Professional Management

If you are interested to get the journal subscription you can contact us at admin@aibpm.org.

ISSN 2622-0989 (Print)
ISSN 2621-993X (Online)

DOI:Prefix 10.32535 by CrossREF

Journal of International Conference Proceedings (JICP) INDEXED:

 

In Process


This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.