The Factors of Decision in Taking Tertiary Education

Authors

  • Alfi Nur Lailiyah Bogor Agricultural University
  • Dominicus Savio Priyarsono Bogor Agricultural University
  • Mutiara Probokawuryan Bogor Agricultural University

DOI:

https://doi.org/10.47312/aefr.v2i02.93

Abstract

The decision to access tertiary education is influenced by individual characteristics, household characteristics, and regional factors. This study aimed to examine the determinant of  individual decision to access tertiary education based on individual characteristics, household characteristics, and regional factors. The respondents of the study were 19 years old or above and already finished secondary education. This study used secondary data from data Indonesian Family Life Survey (IFLS) 5. Technique analysis used multinominal logit by samples that consist of 1.936 respondent. The result of this analysis showed that the individual characteristic that consist of UN score, Sex, and Occupational status while study has significant impact on the choice to access undergraduate study. Likewise, on the household characteristics that consist of educational assistance from non government, level of education of  head of household, and the consumption per member of the family has significant impact to the choice to access diploma. In undergraduate education, only the UN score in individual characteristic that has significant impact. The household characteristics were consist of educational assistance from government and non-government, the level of education of head of household, the consumption per member of the family, and dependency ratio impact significantly on the choice to access undergraduate study.

JEL Classification: I20, I21, I25

Keywords: Household Characteristics, Individual Characteristics, Indonesia Family Life Survey, Multinomial Logit, Regional Factors, Tertiary Education

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References

Chen, D. (2009). Vocational Schooling, Labor Market Outcomes, and College Entry. Washington DC (US): World Bank. Policy Research Working Paper 4814.

Conlon, G., Ladher, R., & Halterback, M. (2017). The Determinants of International Demand for UK Higher Education.

Hoetomo. (2005). Kamus Lengkap Bahasa Indonesia. Jakarta: Mitra Pelajar,

Hosmer, D. W., & Lemeshow, S. (2000). Applied Logistic Regression 2nd ed. New York (US): Wiley-Interscience.

Jiménez, J. D., & Salas-Velasco, M. (2000). Modeling Educational Choices. A Binomial Logit Model Applied to the Demand for Higher Education. Higher Education 40 (3): 293-311.

Gounder, R., & Xing, Z. (2012). Impact of Education and Health on Poverty Reduction : Monetary and Non Monetary Evidence from Fiji. Economic Modelling, 29, 787-794..

Juanda, B. (2009). Ekonometrika Pemodelan dan Pendugaan. Bogor: IPB Press.

[Kemenristekdikti]. Kementerian Riset, Teknologi, dan Pendidikan Tinggi. 2016. Undang-Undang Nomor 75 Tahun 2016 tentang Bantuan Pendidikan. Jakarta: Kemenristekdikti.

Murniasih, E. (2009). Buku Pintar Beasiswa. Jakarta: Gagas Media

Nakamura, J. (1993). An Empirical Analysis on Family Background and Advance to College. Economic Journal, 44 (3): 212-220.

Nicholson, W. (1999). Mikro Ekonomi, Prinsip Dasar dan Perluasan. Jilid 2 Edisi kelima. Jakarta: Binaputra Aksara. 117-165

Ogawa, K., & Iimura, K. (2010). Determinants of Access and Equity in Tertiary Education: The Case of Indonesia. Journal Excellence in Higher Education, 3-22

Priyono, E. (1998). Permintaan terhadap Pendidikan: Analisis Fungsi Probabilitas Bersekolah Menurut Strata Pendapatan. [Theses]. Depok: Universitas Indonesia

Probokawuryan, M. (2015). An Economic Analysis of Poverty in the Agricultural Sector : A Case Study of Indonesia. [Theses]. Manawatu: Massey University.

Robbins, S. P. (2003). Organizational Behaciour 11th ed. New Jersey: Pearson Prentice-Hall.

Setiadi, E., & Kolip. (2013). Pengantar Sosiologi. Jakarta: Predenea Media Group

Starkweather, J., & Moske, A. K. (2011). Multinomial Logistic Regression. Avalaible at https://it.unt.edu/sites/default/files/mlr_jds_aug2011.pdf. [accessed 3th March 2017]

Stoner, J. F. (1986). Manajemen Jilid ke-1 edisi Ke-2. Jakarta: Erlangga

Umaroh. (2016). Analisis Faktor-Faktor yang Mempengaruhi Permintaan Pendidikan Tinggi di Indonesia Tahun 2006-2013. [Skripsi]. Yogyakarta: Universitas Negeri Yogyakarta.

[RAND]. 2017. RAND Indonesia Family Life Survey 5 (IFLS).. Avalaible at www.rand.org/labor/FLS/IFLS/ifls5.html. [accessed 22th January 2017].

Tilak. JBG., 2009. Trade in Higher Education: The Role of the General Agreement on Trade in Servies. Fundamental of Educational Planning. Unesco

Todaro, M. P. & Smith, S. C. (2006). Pembangunan Ekonomi Edisi Kesembilan. Terjemahan. Jakarta (ID): Erlangga. hlm 391-468

Yustiti, M., Erliana, D,. Azizah, S., Farkhati, F., & Hoyyi, A. (2013). Analisis Probabilitas Penerimaan Lulusan Perguruan Tinggi di Suatu Divisi dalam Perusahaan Menggunakan Regresi Logistik Multinomial. [Prosiding]. Semarang: Universitas Diponegoro

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Published

2018-01-11

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