• Journal of the Korean Home Economics Association
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• v.40 no.9
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• pp.143-159
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• 2002

This study investigates inequality of the private educational expenditure using the Family Expenditure Survey of 1990, 1996, 1998, and 2000. The major results are: first, inequality of the private educational expenditure has been relived between 1990 and 2000; second, despite decrease in household income right after the Korean economic crisis, the private educational expenditure has been increased in the households having middle and high school students; third, the gaps in the private educational expenditure between income groups are mainly due to the differences in the spending levels of the private education rather than differences in the percentages of households who spend any in the private education; fourth, in 2000, the gini coefficient of the private educational expenditure among households having elementary school student is 0.4832, and 0.6468 among households having middle and high school students; fifth, 30% of the households having middle and high school students who show the highest level of the private educational expenditure occupy 80% of the total private educational expenditure made by the whole households.

• 한국사회정책
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• v.19 no.3
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• pp.9-47
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• 2012

The purpose of this study is to analyse the change of consumption structure of households due to spending on private tutoring, then analyse the difference of change depending on income bracket. The results of the study show that the proportion of private tutoring spending of poor households is relatively higher than high or middle income households although the amount is smaller than them. The consumption items adjusted by the change of private tutoring spending are different depending on income level, and adjustment possibility of them of poor households is very lower than other classes. These show their risk of insufficient consumption of food, clothing, and shelter is high. The burden of private tutoring spending of the poor increase the economic insecurity, therefore various supportive approaches such as improvement of the quality of public education, economic support the poor suffering from the burden of private tutoring spending are necessary to prevent the latent problems of the poor and their children.

• Journal of the Korean Data Analysis Society
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• v.20 no.6
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• pp.3139-3153
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• 2018

The purpose of this study is to analyze the gap of private tutoring expenditure using data from 2001 to 2016 of Korean labor and income panel study (KLIPS). The final analysis target is about 1,300 to 1,800 households nationwide who participated in the Korean labor panel survey in each year. As a result of the analysis, the expenditure of private tutoring expenditure has been continuously increased since 2001, and it is analyzed that there is a large gap in expenditure of private tutoring even in the comparison of groups divided by the quintile. The spending gap on private tutoring expenditure in the first and fifth quintiles has increased steadily, reaching 11 times in recent years. By forecasting the polarization of private tutoring expenditure since 2016 using the Brown's smoothing method, it is highly likely that the polarization of private tutoring expenditure will be further expanded. The implications for preparing an alternative educational policy and suggestions of conducting a follow-up study for private tutoring expenditure gaps were also discussed.

• Journal of Labour Economics
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• v.32 no.3
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• pp.61-89
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• 2009

This paper undertakes an international study on impacts of private education spending on student academic performance, using the OECD's PISA 2006 data. To circumvent endogeneity of the education spending, it relies on a propensity-score matching method. The empirical results suggest thai the effect of private education spending remains only modest for all the countries examined in the PISA 2006 data. A 10 percent increase in spending leads to no more than a 0.6 percent average improvement in test scores.

• Journal of the Korean Regional Science Association
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• v.31 no.3
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• pp.3-17
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• 2015

In Korea, the private education spending of the households accounted for about 3% of GDP and such a education fever has been associated with the financial burden of households. The main purpose of this paper is to investigate the effects of regional education environment on the private education expenditure of the households using the Korean Labor and Income Panel Survey(KLIPS) data. The quantile regression model is used to examine whether the effects of regional education environment such as the degree of education fever differ across the 'quantiles' in the conditional distribution of private education expenditure. The empirical results showed that the amount of private education expenditure is under the influence of the regions where the households reside. In addition, it was found that the private education spending of the households in the upper quantile groups are more likely to be affected by the regional education environments than those in the lower quantile groups.

• The Korean Journal of Applied Statistics
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• v.24 no.1
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• pp.193-206
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• 2011

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.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.6
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• pp.2660-2666
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• 2013

Education is important in Korea and English education takes a huge part of it. Korean Education can be divided into public and private. A number of households expend money on private education. Therefore this study examines the relationship between private education expense and the grade of college entrance examination. As results, there is a positive effect between them and also a positive effect between the total mount of time of private education and the grade of college entrance examination.

• KDI Journal of Economic Policy
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• v.34 no.2
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• pp.139-171
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• 2012

This paper examines the effect of private tutoring expenditures on academic performance of middle school students in South Korea, using data from "Analysis of the Level of School Education and Its Actual condition: Middle School". In the face of endogeneity of private tutoring expenditures, the paper employs an instrumental variable (IV) method and a nonparametric bounding method. Using both methods we show that the true effect of private tutoring on middle school students remains at most modest in Korea. The IV results suggest that a 10 percent increase in tutoring expenditure for Korean, English and math raises a student's test score of the subject at the largest by 1.24, 1.28, and 0.75 percent, respectively. The bounding results also fail to show evidence that an increase in tutoring expenditure leads to economically and statistically significant improvements in test score.

• Korean Journal of Childcare and Education
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• v.9 no.3
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• pp.189-207
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• 2013

This study was to examine current situations and factors related to private learning expenses. A household survey involving a nationally representative sample of 976 households and 1,648 3-5 year old children was conducted. The questionnaire was comprised of two parts; the first part investigated the demographic and socio-economic status of the parents. The second part inquired as to the type and cost of private education, during the month of June, 2012. Data were analyzed by chi-square, one-way ANOVA and multiple regression analyses. The findings of the study were: First, 86.7% of parents of pre-school children used private learning. Second, private learning expenses were estimated to be 129,700 Won for 3~5 year old children. And older children and children from higher income and full-time homemaker families used more private learning. Thirds, Income and the child's age affected private learning expenses. Policy measures were suggested based on the findings as follows: Institutional infrastructure should be established: Strong support for national curriculum and the development and dissemination of special programs is needed.

• The Korean Journal of Applied Statistics
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• v.27 no.7
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• pp.1125-1137
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• 2014

This paper studies what affects the private education cost for the elementary, middle, and high school students. It is a big issue now because there can be a problem in the equal opportunity for education if the portion of private education cost is very high in the total education cost. If we spend more time and money on the private education than the school education, it can cause the polarization among the classes and regions. The excessive private education also can deteriorate the school system. we use various regression and classification methods to analyze the cost of private education and find the important variables in the models. we found that large cities spend more money on the private education than small cities. We also found that high school students spend more than middle school students and the elementary students and the household with more income spend more money on the private education.