The Effects of Education on Vietnamese Youth’s Purposes of Life
Main Article Content
Abstract
The main objective of this research was to analyze the relationship between eduation levels of Vietnamse Youth and their puposes of life. We used the data from the School-to-Work Transition Survey-SWTS in 2012-2015. Both descriptive statistics and multinomial logit regression analyses were used for the study. We provide the first evidence that higher levels of education is closely linked with having purpose of non-monetary life purposes, namely contributing to society; a successful career or a happy family. In addtion, such effects tend to increase with higher levels of education. Thus, our research finding implies that better education not only offers economic benefits for educated individuals but also for their family, communities and society.
References
[2] T. Doan, Q. Le, T.Q. Tran, Lost in transition? Declining returns to education in Vietnam, The European Journal of Development Research 30(2) (2018) 195-216.
[3] B.L. Wolfe, R.H. Haveman, Social and nonmarket benefits from education in an advanced economy, In Conference series-federal reserve bank of Boston, Federal Reserve Bank of Boston, 1988.
[4] M.E. Fabra, C. Camisón, Direct and indirect effects of education on job satisfaction: A structural equation model for the Spanish case, Economics of Education Review 28(5) (2009) 600-610.
[5] T.Q. Nguyen et al., Do workers benefit from on-the-job training? New evidence from matched employer-employee data, Finance Research Letters 36(1) (2020) 51-60.
[6] T.Q. Tran et al., Local governance, education and occupation-education mismatch: Heterogeneous effects on wages in a lower middle income economy, International Journal of Educational Development 71 (2019) 102101.
[7] M. Dziechciarz-Duda, A. Król, On the non-monetary benefits of tertiary education, Ekonometria 2 (2013) 78-94.
[8] A. Schinkel, D.J. De Ruyter, A. Aviram, Education and Life's Meaning, Journal of Philosophy of Education 50(3) (2016) 398-418.
[9] J.S. Long, Regression models for categorical and limited dependent variables, Thousand Oaks, CA: Sage., 1997.