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Effectiveness of Government's Regulations on Private Teaching Institutes in Korea

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dc.contributor.advisor황윤재-
dc.contributor.author김설아-
dc.date.accessioned2017-07-19T12:36:02Z-
dc.date.available2017-07-19T12:36:02Z-
dc.date.issued2014-08-
dc.identifier.other000000020938-
dc.identifier.urihttps://hdl.handle.net/10371/134629-
dc.description학위논문 (석사)-- 서울대학교 대학원 : 경제학부, 2014. 8. 황윤재.-
dc.description.abstract한국의 치열한 대입 경쟁으로 인해 유발된 사교육에 대한 막대한 지출로 인해, 정부는 학원 교습시간에 대한 규제와 더불어 여러 사교육 규 제 수단을 마련하는 데 노력을 기울여왔다. 본 논문은 한국고용정보원의 청년 패널 데이터(2007년-2010년)를 기반으로, 고등학생들에 대한 학원 교 습시간 규제에 관한 효과를 분석하였다. 사교육비 패턴은 성별, 가구 소득, 부모의 학력, 학교 유형, 그리고 지역에 따라 다르게 나타난다. 이러한 사 교육비 패턴 하에, 규제 효과는 각 지역에 따라 상이한 것으로 나타났다. 먼저, 패널 토빗 모형 추정을 하였을 때, 부산 지역은 학원 교습시간 규제가 사교육비 지출 감소에 유의미향 영향을 끼치는 것으로 나타난 반면, 서울 지역은 학원 교습시간 규제가 사교육비 지출 감소에 효과적이지 않은 것 으로 나타났다. 또한, 본 논문에서는 규제 효과에 관해 지역별로 1차 빛 2 차 확률적 지배 검정(Stochastic Dominance Test)을 하였다. 확률적 지배 검정을 한 결과, 토빗 모형을 추정했을 때와 유사한 결과가 도출되었다.-
dc.description.abstractThe education fever in Korea has no sign of slowing down as the competitiveness for going to renowned universities gets more important with the country's unemployment crisis. Due to an explosive demand for private education, regulation on private teaching institutes is critical in slowing down the overheated private education market drive in Korea. Some local governments have begun to set the constraint on operating hours of those institutes. With this movement, this paper analyzes the regulation effect on private education expenditures of Korean high school students using Tobit model as well as nonparametric model with the Youth Panel data from 2007 to 2010.
Patterns of private education expenditure are affected by gender, household income, parents education attainment level, school type, and location. In addition to different factors of private education expenditure, regulation effects are different among regulated regions. In Panel Tobit estimation, Seoul has almost no effect of regulation while Busan's regulation effect is significant.
Furthermore, this paper conducts stochastic dominance test of Linton et al. (2010) and Barrett and Donald (2003). In testing stochastic dominance, regulation effects are shown different depending on the specification of a contact set between unregulated and regulated groups. Also, by conducting joint hypothesis test, I analyze whether the regulation has been effective consecutively every year since the regulation was implemented. Although the results are sensitive to specification of a contact set, they are consistent with Tobit estimation results.
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dc.description.tableofcontentsIntroduction 1
2 Literature Review 2
3 Description of Data 4
3.1 Current Regulations on Private Teaching Institutes . . . . . . 4
3.2 Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4
3.3 Variables . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7
4 Parametric Estimation 9
4.1 Pooled OLS Estimation . . . . . . . . . . . . . . . . . . . . . . 9
4.2 Tobit Estimation . . . . . . . . . . . . . . . . . . . . . . . . . 11
5 Nonparametric Estimation: Testing Stochastic Dominance 15
5.1 Test statistic and Bootstrap Methods . . . . . . . . . . . . . . 15
5.2 Monte Carlo Experiment . . . . . . . . . . . . . . . . . . . . . 17
5.3 Test Results of Stochastic Dominance . . . . . . . . . . . . . . 19
6 Conclusion 28
References 31
Appendix 33
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dc.formatapplication/pdf-
dc.format.extent2964742 bytes-
dc.format.mediumapplication/pdf-
dc.language.isoen-
dc.publisher서울대학교 대학원-
dc.subjectPrivate Education Expenditure-
dc.subjectRegulation Effect-
dc.subjectTobit Model-
dc.subjectStochastic Dominance-
dc.subjectBootstrap-
dc.subject사교육비-
dc.subject규제 효과-
dc.subject토빗 모형-
dc.subject확률적 지배-
dc.subject부트스트랩-
dc.subject.ddc330-
dc.titleEffectiveness of Government's Regulations on Private Teaching Institutes in Korea-
dc.typeThesis-
dc.contributor.AlternativeAuthorSeolah Kim-
dc.description.degreeMaster-
dc.citation.pagesiii, 52-
dc.contributor.affiliation사회과학대학 경제학부-
dc.date.awarded2014-08-
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