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http://dx.doi.org/10.5351/KJAS.2011.24.1.193

Statistical Analysis of Private Education Expenses in Korea  

Oh, Man-Suk (Department of Statistics, Ewha Woman's University)
Kim, Jin-Hee (Department of Statistics, Ewha Woman's University)
Publication Information
The Korean Journal of Applied Statistics / v.24, no.1, 2011 , pp. 193-206 More about this Journal
Abstract
Due to the great impact of private education expenses on many areas including economics and politics, reducing private education expenses is one of the key issues in Korea. In this paper, we analyze the data from a survey on private education expenses, conducted by Statistics, Korea, in 2008. We study the effect of some demographic variables on two dependent variables, the expenses for out-of-school private education (Private) and the expenses for after-school programs (Afterschool), by using a multiple linear regression model. The analysis results show that 'residential area' and 'school level' variables have a significant effect on the two dependent variables. 'Private' increases in the order of small town, middle town, or metropolitan city, and Seoul, by about 7%. On the other hand, 'Afterschool' are about the same for all areas except for the small town. In terms of the effect of 'school level', 'Private' for high school students is about 17% larger than all other students including professional high school students. This shows a strong correlation between university admission and private education, in Korea. 'Afterschool' is larger for high school and elementary school students and decreases in the order of professional school students and middle school students. It seems that after-school programs are alternatives to expensive private education programs for elementary school students, and that high school students are attracted to after-school programs to get a good GPA, which is important for university admissions.
Keywords
Private education; after-school program; multiple linear regression;
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