Effect of Secondary School Types to The School-Work Transition in Indonesia

Ruth Eviana Hutabarat(1), Brillian Akbar Aminullah(2), M. Afif Khoiruddin(3), Kartika Sari(4),


(1) State of Surabaya University
(2) Brawijaya University
(3) Brawijaya University
(4) Brawijaya University

Abstract

The purpose of this study is to examine how the choice of the type of secondary school (JHS-SHS) affects transition decisions after graduating from high school. Using the multinomial logistic regression method, this study uses data from the Indonesian Family Life Survey (IFLS) wave five (2014) with a total of 3209 samples from all over Indonesia. The results showed that individual graduates from private schools had a positive toward the tendency to work informally. Private and public high school graduates tend not to work formally, respectively. Male individuals will tend to work informally and formal. In contrast, female individuals tend to continue their higher education. Individuals with married status tend to work informal, and unmarried individuals tend to continue their higher education. Individuals with a female head of home care to work in the formal sector and those with a male head of home tend to continue their higher education. while individuals who live outside Java/Bali tend to work in the informal sector.

Keywords

Middle school type, Work school transition, Logistical Multinomial Regression

Full Text:

PDF

References

Adiningsih, S., Setiaji, S. N., & Ardiansyah, S. R. (2019). Unequal developments in Indonesia's digital-based economy and its implications. Indonesian Journal of Economics, 8(1), 171-190. doi: https://doi.org/10.52813/jei.v8i1.17.

Almeida, R., & Carneiro, P. M. (2011). Enforcement of Labor Regulation and Informality. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.1909382

Antyanto, I. N. (2014). Analisis Faktor-Faktor Yang Mempengaruhi Tenaga Kerja Memilih Sektor Informal Sebagai Mata Pencaharian. http://repository.ub.ac.id/id/eprint/107540/

Anuraga, G., & Arieska, P. K. (2016). Quantile regression bootstrap approach for poverty modeling in Java Island. Journal of Statistics Muhammadiyah University

Becker, G. S. (1993). Human capital: A theoretical and empirical analysis, with special reference to education (3rd ed). The University of Chicago Press.

Bedi, A. S., & Garg, A. (2000a). The effectiveness of private versus public schools: The case of Indonesia. Journal of Development Economics, 61(2), 463–494. https://doi.org/10.1016/S0304-3878(00)00065-1

Bedi, A. S., & Garg, A. (2000b). The effectiveness of private versus public schools: The case of Indonesia. Journal of Development Economics, 61(2), 463–494. https://doi.org/10.1016/S0304-3878(00)00065-1

Central Bureau of Statistics. (2020). Survei Angkatan Kerja Nasional (SAKERNAS). https://sirusa.bps.go.id/sirusa/index.php/dasar/pdf?kd=5&th=2020

Central Bureau of Statistics. (2021). Penduduk Berumur 15 Tahun Ke Atas yang Bekerja Selama Seminggu yang Lalu Menurut Status Pekerjaan Utama dan Pendidikan Tertinggi yang Ditamatkan. https://www.bps.go.id/indicator/6/1126/1/penduduk-berumur-15-tahun-ke-atas-yang-bekerja-selama-seminggu-yang-lalu-menurut-status-pekerjaan-utama-dan-pendidikan-tertinggi-yang-ditamatkan.html

Choi, S. (2021). The impact of education levels and paths on labor market outcomes in South Korea: Focusing on vocational high school graduates. Social Sciences & Humanities Open, 4(1), 100152. https://doi.org/10.1016/j.ssaho.2021.100152

Chudnovskaya, M., & Kolk, M. (2017). Educational expansion and intergenerational proximity in Sweden. Population, Space and Place, 23, 1–14. https://doi.org/10.1002/ psp.1973.

Dalilah, F. (2021). Analisis Terhadap Partisipasi Kerja Perempuan pada Sektor Formal di Indonesia. JIM FEB UB, 9(2). https://jimfeb.ub.ac.id/index.php/jimfeb/article/view/7306

Doğrul, H. G. (2012). Determinants of Formal and Informal Sector Employment in The Urban Areas of Turkey. In International Journal of Social Sciences and Humanity Studies, 4(2), 217–231. Sosyal Bilimler Araştırmaları Derneği.

Fields, G. S. (2005). A Guide to Multisector Labor Market Models. Social Protection Discussion Paper Series, 32547. http://documents.worldbank.org/curated/en/885211468350159689/A-guide-to-multisector-labor-market-models

Flannery, D., & Cullinan. (2014). Where they go, what they do and why it matters: The importance of geographic accessibility and social class for decisions relating to higher education institution type, degree level and field of study. Applied Economics, 46(24), 2952–2965. https://doi.org/10.1080/00036846.2014.916392

Gibbons, S., & Vignoles. (2012). Geography, choice and participation in higher education in England. Regional Science and Urban Economics, 42, 98–113. https://doi.org/ 10.1016/j.regsciurbeco.2011.07.004.

Greene, W. H. (2018). Econometric Analysis (8th ed.). Pearson.

Gujarati, D. N., & Porter, D. C. (2009). Basic Econometrics (5th ed.). Mc Graw-Hill Irwin.

Hendrajany, N. (2016). The Effectiveness of Public vs Private Schools in Indonesia. Journal of Indonesia Applied Economics, 6(1), 66–89.

Hohberg, M., & Lay, J. (2015). The impact of minimum wages on informal and formal labor market outcomes: evidence from Indonesia. IZA Journal of Labor & Development, 4(1), 14. https://doi.org/10.1186/s40175-015-0036-4

Josephine, A. (2019). Analisis Faktor-Faktor Yang Mempengaruhi Tingkat Partisipasi Angkatan Kerja Wanita Indonesia Dalam Menyongsong Bonus Demografi Tahun 2010-2017 [Universitas Brawijaya]. http://repository.ub.ac.id/id/eprint/174291

Kadir, K., & Sukma, WL (2019). Returns to education and wage distribution in Indonesia:A comparison across gender groups. Sukowati Research and Development Journal: Media Research and Development, 2(2), 12-30.doi: https://doi.org/10.32630/sukowati.v2i2.90

Kjellström, C., & Regnér. (1999). The effects of geographical distance on the decision to enroll in university education. Scandinavian Journal of Educational Research, 43(4), 335–348. https://doi.org/10.1080/0031383990430401.

Newhouse, D., & Beegle, K. (2006). The Effect of School Type on Academic Achievement: Evidence from Indonesia. The Journal of Human Resources, 41(3), 529–557.

Newhouse, D., & Suryadarma, D. (2011). The value of vocational education: High school type and labor market outcomes in Indonesia. World Bank Economic Review, 25(2), 296–322. https://doi.org/10.1093/wber/lhr010

Nguyen, A. N., & Taylor, J. (2003). Post-high school choices: New evidence from a multinomial logit model. Journal of Population Economics, 16(2), 287–306. https://doi.org/10.1007/s001480300149

OECD. (2020). PISA 2018 Results (Volume V): Effective Policies, Successful Schools. OECD. https://doi.org/10.1787/ca768d40-en

Ogawa, K., & Iimura, K. (2010). Determinants of Access and Equity in Tertiary Education: The Case of Indonesia. Excellence in Higher Education, 1(1&2), 3–22. https://doi.org/10.5195/ehe.2010.12

Parker, P. D., Jerrim, J., Anders, J., & Astell-Burt, T. (2016). Does living closer to a university increase educational attainment? A longitudinal study of aspirations, university entry, and elite university enrolment of Australian youth. Journal of Youth and Adolescence 45, 1156–1175. https://doi.org/10.1007/s10964-015-0386-x.

Qanti, S. R., Peralta, A., & Zeng, D. (2022). Social norms and perceptions drive women's participation in agricultural decisions in West Java, Indonesia. Agriculture and Human Values, 39(2), 645–662. https://doi.org/10.1007/s10460-021-10277-z

Sari, V. A. (2019). Educational Assistance and Education Quality in Indonesia: The Role of Decentralization. Population and Development Review, 45(S1), 123–154. https://doi.org/10.1111/padr.12272

Stern, J. M. B., & Smith, T. M. (2016). Private secondary schools in Indonesia: What is driving the demand?. International Journal of Educational Development, 46, 1–11. https://doi.org/10.1016/j.ijedudev.2015.11.002

Ruppert B. E. (2018). Defining informality vs mitigating its negative effects. IZA World of Labor. https://doi.org/10.15185/izawol.442

Setyanti & Muara, A. (2020). Informality and The Education Factor in Indonesian Labor. Journal of Indonesian Applied Economics, 8(2), 71–80.

Slack, T., & Jensen, L. (2010). Informal Work In Rural America: Theory And Evidence. In: Marcelli, E., Williams, C.C., Joassart, Pascale (Eds.), Informal Work in Developed Nations. Routledge, London, pp. 177–191

Soseco, T. (2021). Household Size, Education, and Household Wealth in Indonesia: Evidence from Quantile Regression. Indonesian Economic Journal, 10(3), 281–297.

Strauss, J., Witoelar, F., & Sikoki, B. (2016). The Fifth Wave of the Indonesia Family Life Survey: Overview and Field Report: Volume 1. RAND Corporation. https://doi.org/10.7249/WR1143.1

Uwamahoro, A., & Mung’atu, J. K. (2018). Modeling Factors Influencing Employment in Informal Sector Participation in Rwanda (2017) Using Logistic Regression Approach. International Journal of Science and Research (IJSR), 7(10). https://www.ijsr.net/get_abstract.php?paper_id=25101803

Widyanti, R. D. (2018). Wage inequality and return to education in Indonesia: Quantile regression analysis. Significant: Journal of Economics, 7(1), 27-44. doi: http://dx.doi.org/ 10.15408/sjie.v7i1.6071.

Wulandari, D. P. (2015). Pengaruh Kompensasi Finansial dan Kompensasi Nonfinansial dengan Budaya Organisasi Sebagai Variabel Moderasi [Universitas Negeri Yogyakarta].http://eprints.uny.ac.id/id/eprint/28415

Yubilianto. (2020). Return to education and financial value of investment in higher education in Indonesia. Journal of Economic Structures, 9(1), 17. https://doi.org/10.1186/s40008-020-00193-6 of

Ulusoy, B., & Yolcu, H. (2013). Household education expenditure of families at primary school level. Journal of Educational Sciences Research, 3(1), 1–27

Vu, H. (2012). Determinants of educational expenditure in Vietnam. International Journal of Applied Economics, 9(1), 59–72.

Refbacks

  • There are currently no refbacks.




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