• Environmental and Resource Economics Review
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• v.18 no.4
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• pp.695-713
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• 2009

This study investigates the determinants of municipal water prices and costs in Korea. A panel data set of 164 municipalities for the period 2000~2007 is used for the study. Both random and fixed effect models with an appropriate set of instruments are applied to the data. Substantial differences in prices and costs among municipalities are observed. The study finds that prices and costs increase if the leakage rate is high, the quality of primary water is bad, and the municipality has to purchase primary water from K-water which is the single creation and management corporation of water resources facilities in Korea. Prices and costs decline if the size of consumer is large, the proportion of paying consumer is high, and the amount of subsidy from the central government is large.

• Journal of Labour Economics
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• v.35 no.1
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• pp.111-136
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• 2012

This paper investigates effects of family size on private tutoring expenditures, using a data set drawn from the Korean Longitudinal Survey of Women & Families (KLoWF). To deal with endogeneity of family size, the paper employs an instrumental variable (IV) method in which the sex of the first-born of the family is used as an IV. The results suggest that quantity-quality trade-offs of children within a family function in a way that varies by the sex of the child. While the effect of an increase in family size on private turoring expenditures of a second-born daughter is negative, the effect for a second-born son is indeterminate. The result for daughters implies that high costs of raising a child are likely to explain low birth rates of Korea.

• Journal of Labour Economics
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• v.36 no.3
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• pp.1-27
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• 2013

This paper estimates the employment and wage effects of the duration of leave of absence for job preparation activities and the duration of leave of absence due to economic difficulties by using the first wave of the Graduates Occupational Mobility Survey of 2009 (2009GOMS1). The employment probability and wage increase by 1.6 percentage points and 4.0 percentage, respectively, with a month of the duration of leave for job preparation activities. The employment probability and wage decrease by 3.6 percentage points and 7.2 percentage, respectively, with a month of the duration of leave due to economic difficulties.

• Environmental and Resource Economics Review
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• v.28 no.3
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• pp.355-383
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• 2019

This study is to investigate whether averting costs for wearing $anti-PM_{10}$ masks and using air purifiers at home to reduce exposure from $PM_{10}$ are influenced by subjective risk perceptions and/or objective $PM_{10}$ concentration levels, whose estimates will be used to measure the willingness to pay for $PM_{10}$ risk reduction. An empirical analysis was conducted on a sample of 1,224 respondents who participated in the web-based survey in the late October of 2017. As we reflect the potential endogeniety bias in the estimation of averting cost functions of using air purifiers, the coefficients of risk perception were differed by 6~7 times. Respondents. subjective risk perceptions were influenced by individuals' knowledge, attitudes and demographic variables, as well as the levels of $PM_{10}$ concentrations in their residential region. The marginal willingness to pay for risk reductions at the mean levels of their risk perceptions were measured at 1,000 won per month from wearing $anti-PM_{10}$ masks and 6,000 won for using air purifiers respectively.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.43 no.3
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• pp.213-223
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• 2015

The helicopter initial design model was established by using the latest weight estimation equations based on the Tishchenko's methodology through the study existing initial design tools. The sequential decomposition method is used to reduce analysis time in the sizing. Empirical parameters of the weight estimation equation were also extracted from numerical and regression analysis for a helicopter database. Design input and output values were compared with the RISPECT design tool. Finally, comparison of the re-design resulting for several existing helicopters was presented and showed the good agreement within less than 5% in the weight estimation and main rotor sizing. Established initial design model was proved to be effectively used as initial design tool.

• The Journal of the Korea Contents Association
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• v.16 no.12
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• pp.1-9
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• 2016

Computational Fluid Dynamics(CFD) is a branch of fluid mechanics that solves partial differential equations which represent fluid flows by a set of algebraic equations using computers. Even though it requires multifarious variables, only selected ones are stored because of the lack of storage capacity. It causes the requirement of secondary variable calculations at analyzing time. In this paper, we suggest an efficient method to estimate optimal calculation paths for secondary variables. First, we suggest a converting technique from a dependency graph to a ordinary directed graph. We also suggest a technique to find the shortest path from any initial variables to target variables. We applied our method to a tool for data analysis and visualization to evaluate the efficiency of the proposed method.

• 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.

• Environmental and Resource Economics Review
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• v.23 no.3
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• pp.409-434
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• 2014

This paper estimates household demand for electricity using a micro-level household expenditure data set. A two-stage estimation method where the endogenous block price estimates are obtained from a discrete block choice model is used. This method successfully identifies a downward sloping conditional demand function with the data, while both the usual two-stage method with instrumental variable estimation and the Hewitt-Hanemann discrete-continuous model fail to do that. The paper simulates the impacts of two hypothetical pricing reforms that reduce the number of blocks and make the price gap smaller. It is shown that the reform may increase the overall consumer benefit, but is regressive.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.345-345
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• 2023

기후변화에 대응하기 위한 가뭄과 홍수 등의 수재해 관리체계 수립의 필요성이 높아지고 있어, 기후예측모형과 연계하여 수문 및 에너지 순환과정에서 하천유출에 대한 기후변화 영향예측이 가능한 지표수문모형(Land Surface Model, LSM)의 개발과 적용이 요구되고 있다. 또한, LSM은 연속적이고 장기적인 유출을 모의할 수 있어 수재해에 관한 예측과 정보 제공에 유용하므로, 최근 수재해 예측시스템 구축을 위한 주요한 도구로 관심을 받고 있다. 이에 따라, 본 연구에서는 기후모형 CWRF(Climate-Weather Research and Forecasting Model)와 연계되어 물-에너지 순환모의가 가능한 최신 LSM 중 하나인 Common Land Model(CoLM)을 우리나라 유역의 장기하천유출모의에 적용하고자 한다. 대부분의 LSM은 지상의 물과 에너지 순환과정이 각 단일 격자의 수직적인 모의과정으로 제한되고 있었지만, 현재 지속적인 개선을 통해 많은 LSM에서 보다 현실적인 물과 에너지 변화를 모의하고자 노력하고 있다. 그러나, 지속적인 모형의 개선에도 불구하고(또는 그로 인해) 정교한 수학적 프로세스를 통합하여 개선된 최신 LSM은 오히려 복잡한 매개변수 체계, 매개변수 추정, 입력자료, 초기 및 경계조건 등에서 비롯된 불확실성이 존재하고 있다. 따라서, 모형의 주요 매개변수값의 추정은 모의결과의 성능과 안정성을 확보하기 위한 LSM의 모의에서 필수적인 과정 중 하나이다. 유역의 특성에 따라 결정되는 모형 매개변수는 관련자료의 부재 또는 관측의 부정확성으로 인해 검보정 과정을 통해 결정되어야 하므로, 유역의 수문특성을 최대한 반영하고 모형의 성능과 안정성을 확보하기 위해 모의목적에 따라 적절한 검보정 목적함수의 선정도 요구된다. CoLM과 같이 다양한 매개변수가 사용되는 LSM에서는 모의결과에 대한 불확실성을 줄이고, 모의목적에 따른 모형의 예측도 향상을 위해서 모의결과에 민감한 주요 매개변수의 검보정이 과정이 중요하다. 따라서, 본 연구에서는 격자기반 지표수문모형인 CoLM을 이용하여 우리나라 유역의 장기하천유출을 모의하는 과정에서 CoLM의 주요 매개변수 검보정에 필요한 적절한 목적함수의 적용을 통해 CoLM 장기하천유출 모의결과의 예측성능을 개선하고자 한다.

• The Korean Journal of Applied Statistics
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• v.35 no.2
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• pp.217-227
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• 2022

Quantile regression is widely used in many fields based on the advantage of providing an efficient tool for examining complex information latent in variables. However, modern large-scale and high-dimensional data makes it very difficult to estimate the quantile regression model due to limitations in terms of computation time and storage space. Divide-and-conquer is a technique that divide the entire data into several sub-datasets that are easy to calculate and then reconstruct the estimates of the entire data using only the summary statistics in each sub-datasets. In this paper, we studied on a variable selection method using Bayes information criteria by applying the divide-and-conquer technique to the penalized quantile regression. When the number of sub-datasets is properly selected, the proposed method is efficient in terms of computational speed, providing consistent results in terms of variable selection as long as classical quantile regression estimates calculated with the entire data. The advantages of the proposed method were confirmed through simulation data and real data analysis.