Journal of the Korean Data and Information Science Society

The Korean Data and Information Science Society (한국데이터정보과학회)
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Influence of tuition and scholarship on the stop-out rate: An empirical analysis using panel regression model

등록금 및 장학금이 대학생 휴학률에 미치는 영향: 패널회귀모형을 이용한 실증분석

  • Yang, Hoseok (Scholarship and Financial Aid Division, Ministry of Education) ;
  • Choi, Jae-Seok (Statistics & Analysis Team, Korea Student Aid Foundation) ;
  • Han, Jun-Tae (Statistics & Analysis Team, Korea Student Aid Foundation) ;
  • Jeong, Jina (Statistics & Analysis Team, Korea Student Aid Foundation)
  • 양호석 (교육부 대학장학과) ;
  • 최재석 (한국장학재단 통계분석팀) ;
  • 한준태 (한국장학재단 통계분석팀) ;
  • 정진아 (한국장학재단 통계분석팀)
  • Received : 2015.03.27
  • Accepted : 2015.05.22
  • Published : 2015.05.31
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Abstract

In this paper, we configured the panel data of four years using the information of Higher Education In Korea (2010~2013) and studied the influence of tuition and scholarships on the stop-out rate of national university and private university separately through a panel analysis. Three models are implemented considering various variables suck as faculty-student ratios, employment rate, per pupil expenditure, average tuition, and per pupil scholarship. This study showed that the lower net tuition and the higher per pupil off-campus scholarship lowered the stop-out rate at national universities and the lower tuition and the higher per pupil scholarship lowered the stop-out rate at private universities.

본 연구는 대학정보공시 자료를 활용하여 2010~2013년까지 4년간의 패널자료를 구성하고 패널분석을 통해서 우리나라 4년제 대학의 등록금 및 장학금이 대학 휴학률에 미치는 영향을 국공립 대학과 사립 대학으로 나누어 파악했다. 전임교원 1인당 학생수, 취업률, 학생 1인당 교육비, 평균 등록금, 1인당 장학금 등을 고려해 3가지 모델로 연구하였다. 이 연구의 결과는 국공립 대학에서 등록금 및 순 등록금 (net tuition)이 낮을수록 대학 휴학률이 낮아지며, 1인당 교외 장학금이 높을수록 대학휴학률이 낮아졌으며, 사립 대학에서는 등록금이 낮을수록 대학 휴학률이 낮아졌으며, 1인당 장학금(교내+교외), 1 인당 교내장학금 및 교외장학금이 높을수록 대학 휴학률이 낮아지는 결과를 보였다.

Keywords

References

  1. Chae, J. E. (2011). A study on the stopout of Korean college students. The Journal of Educational Administration, 29, 295-317.
  2. Chu, H. J. and Cha, S. H. (2011). A analysis of factors affecting four-year college students' stop-out. The Journal of Educational Administration, 29, 277-293.
  3. Kim, S. S. (2008). A exploratory study on withdrawal and transfer of Korean college students: The influence of college-choice reason and satisfaction afterwards. Journal of Korean Education, 35, 227-249.
  4. Kim, S. Y. (2006). A study on exploring the academic persistence and dropout of Korean universities and colleges' students. Journal of Korean Education, 33, 33-62.
  5. Lee, S. J., Kim, S. M., Park, S. H. and Cho, Y. S. (2011). Analysis of tuition level difference and influence factors : Focusing on four-year private university. The Journal of Economics and finance of Education, 20, 1-25.
  6. Lee, S. Y. (2008). Study on the factor affecting the college students' re-enrollment intention. The Journal of Educational Administration, 26, 227-299.
  7. Rhee, B. S. (2003). An exploratory analysis of institutional influences on college student withdrawal. Korean Journal of Educational Research, 41, 135-154.
  8. Song, P. and Kim, J. (2012). The correlation and regression analyses based on variable selection for the university evaluation index. Journal of the Korean Data & Information Science Society, 23, 457-465. https://doi.org/10.7465/jkdi.2012.23.3.457
  9. Yi, P. (2014). An exploratory analysis on the relationship between the level and pattern of educational expenditures of private four-year universities and higher education quality indicator in Korea. The Journal of Economics and finance of Education, 23, 235-266.

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