• 한국병원경영학회지
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• 제19권2호
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• pp.44-54
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• 2014

In spite of effective curative therapy, morbidity and mortality remain high for hospitalized patients with tuberculosis(TB) in Korea. The purpose of this study was to identify patient and hospital characteristics associated with hospital care outcome. Using annual patient survey data produced by Korea Institute for Health and Social Affair, we identified 8,562 hospital discharge with primary diagnosis of TB. Logistic regression analyses were performed on a model that included age, gender, residence area, insurance status, hospital admission source, length of stay, hospital ownership and class of hospital as the explanatory variables and outcome of treatments as the dependent variable. The results show that negative outcome was associated with the patients older than 65 years, medical aid beneficiary, admission through emergency department, and the patients admitted to public owned hospitals. On the other hand, the patients who were admitted to teaching hospitals were associated with positive outcome. To improve hospital treatment outcome of TB patients, more vigorous strategies should be implemented targeting the older and poor population in regard to social support as well as the clinical management and prevention.

• 유통과학연구
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• 제14권12호
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• pp.53-59
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• 2016

Purpose - The concept of lifetime job has disappeared, and men are interested in business foundation to work continuously with similar jobs. The value of business foundation is thought to be important in accordance with the viewpoint of society, government, individuals and family. Research design, data, and methodology - The economic exchange between South Korea and China has been expanded, and they are likely to play an important role in entry into China by business foundation in accordance with economic exchange between the two countries. As Korean residents inflow overseas, small businessmen business foundation shall be given attention scientifically and Korean Chinese business foundation shall be given attention as well. Results - The study investigated the effects on psychological characteristics and small business foundation motives upon business foundation will by using models. Self-efficacy and self achievement had positive influence upon small business foundation of Korean Chinese. The use of control variable had explanatory power (29.6%). Conclusions - The findings would help the government's small business foundation system to promote small business foundation and to be a guide for expansion in Korean Chinese's small business markets. An education program should be developed to strengthen Korean Chinese's self efficacy considering psychological characteristics.

• The Journal of Asian Finance, Economics and Business
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• 제7권9호
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• pp.229-239
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• 2020

This paper examines the impact of gender on access to debt finance among Vietnamese enterprises. The paper investigates data and variables retrieved from the World Bank Enterprise Survey dataset using five Probit models. The regression results suggest that there exist more unfavourable debt financing conditions for women-led firms (WLF), measured as a lower probability of having loan applications fully approved. Firm's age, working sector, and perception of access to finance as a difficulty are found to have explanatory power on the discrimination. More importantly, the perception of debt finance as a difficulty or firms' level of confidence significantly explains the variance of the dependent variable of probability of loan approval, or gender effect would be more pronounced if the firm already has a low level of confidence. The paper also contributes in testing for the gender effect on Vietnamese enterprises from different sectors and scale, unlike other prior research papers focusing on specific sectors and/or small and medium enterprises only. The findings are highly useful for Vietnamese credit institutions to set out a specific business policy to attract more WLFs and help promoting gender equality in the working environment, especially in debt financing, which is often neglected in existing regulation and policy frameworks.

• Journal of Contemporary Eastern Asia
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• 제14권2호
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• pp.45-55
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• 2015

This article assesses factors that affect the ability of local fire branch heads in Taiwan to mobilize volunteer organizations in local emergency responses. Data from a survey of local fire branch heads in Taiwan is analyzed by using an OLS model to test three hypotheses regarding the relationship between the dependent variable, perceived ability to mobilize volunteer organizations in emergency response, and three explanatory variables: organizational capacity, quality of communication, and the quality of citizen engagement ex-ante to emergency response. The model indicates a positive relationship between the ability to mobilize volunteer organizations in emergency response, the quality of communications, and the quality of citizen engagement in preparedness. The research suggests that local fire branch heads and volunteer organizations should begin the process of emergency response mobilization in the preparedness stage. The quality of the citizen engagement in preparedness stages should increase the ability of local fire branch managers to mobilize external resources in emergency response.

• 한국산학기술학회논문지
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• 제8권3호
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• pp.639-645
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• 2007

본 연구에서는 우리나라의 인터넷전화 통화수요함수를 2001년 6월부터 2004년 12월까지의 월별 데이터를 이용하여 추정하고 있다. 추정식에서 인터넷 통화수요는 통화요금, 타서비스의 요금, 소득, 품질 등의 함수로 가정하였으며, 통화량의 부분적응모형을 이용하여 시차변수도 설명변수에 포함시켰다. 추정결과 인터넷전화는 해당 요금에 대해 탄력적인 것으로 파악되었고 소득에 대하여는 비탄력적으로 나타났다. 품질은 인터넷전화수요에 큰 영향을 미치는 것으로 파악되었으며 인터넷전화 통화수요가 설명변수의 변화에 대하여 반응하는데 있어 시차가 존재함을 보이고 있다.

• 자원ㆍ환경경제연구
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• 제13권3호
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• pp.417-440
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• 2004

미국의 PJM(Pennsylvania-New Jersey-Maryland) 전기도매시장의 전기 가격을 가변 전환확률 국면전환모형(regime switching model with time-varying transition probability model)을 이용해서 추정해보았다. 전기수요뿐만 아니라 기온을 전환확률 방정식의 설명변수로 포함시킴으로써 전기가격이 낮은 국면에서 높은 국면으로 전환할 확률의 문턱점(threshold) 효과가 뚜렷이 향상되었다. 따라서 도매전기가격의 스파이크(spike) 발생을 예측할 수 있게 되는 것이다. 이는 또한 미국의 도매시장 전기가격의 스파이크는 기온에 의해서도 잘 설명되며, 이를 이용하여 날씨관련 파생상품이나 계약을 통해서 도매전기 구입비용의 위험을 해지할 수 있다는 것을 의미한다.

• 응용통계연구
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• 제26권3호
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• pp.401-411
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• 2013

변수들 간 인과관계는 시차 회귀방정식을 사용한 초기의 검정법 이후 새로운 통계적 기법이 계속 개발되면서 더욱 다양하고 효율적인 분석이 가능하게 되었지만 오랜 논쟁의 대상인 닭과 달걀 간 선행관계에 대한 검정은 의외로 간과되어왔다. 본 연구에서는 현대적 관점에서 두 변수 간 인과관계를 학문적으로 조명해보기 위해 사용가능한 자료를 이용하여 통계적 검정을 실시해 보았다. 두 변수 간 관계에는 구조적 변화가 발생하지 않았음이 입증되면서 사용한 검정법 모두 수준변수 및 정상변수에서 일관된 검정결과를 보이는 것으로 나타났다.

• 대한조선학회논문집
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• 제53권1호
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• pp.29-36
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• 2016

In shipbuilding and offshore plant construction, pipe-stools of various types are installed. Moreover, these are many quantities but they must be installed in a successive manner. Due to these characteristics the pipe-stool installation processes easily tends to cause the schedule delays in the overall production processes. In order to reduce delay, the goal of this study is to predicts production’s lead time before manufacturing. Through this predictions it’s expected to reduce total production’s lead time by improving it's process. First of all, we made MLR(Multiple Linear Regression) and PLSR(Partial Least Square Regression) model to predict pipe-spool's lead time and then compared predictability of MLR and PLSR model. If a explanatory variable is added, it will be possible to predict results precisely.

• 응용통계연구
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• 제30권5호
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• pp.793-808
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• 2017

본 논문에서는 초고차원 자료의 다항분류를 위한 변수선별 방법에 대해 비교 연구를 진행하였다. 다항분류를 위한 변수선별 방법에는 일대일 혹은 일대다 비교를 통해 이항분류를 위한 방법을 확장시켜 적용하는 방법과 다항 반응 변수에 직접 적용할 수 있는 방법이 있다. 다항분류를 위한 변수선별 성능을 확인하기 위하여 여러가지 상황-설명변수의 꼬리가 두꺼운 경우, 신호변수와 잡음변수가 서로 연관된 경우, 결합분포상으로 연관되어 있지만 주변분포 상으로는 연관되어 있지 않은 경우, 다범주 반응변수의 분포가 불균형인 경우-을 가정하고 모의실험을 진행하였고, 실제 자료에도 적용해 보았다. 그 결과, 모형 가정을 필요로 하지 않는 방법들이 안정적인 성능을 보이는 것을 확인하였다.

• Communications for Statistical Applications and Methods
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• 제25권5호
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• pp.489-499
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• 2018

Jeonse is a unique property rental system in Korea in which a tenant pays a part of the price of a leased property as a fixed amount security deposit and gets back the entire deposit when the tenant moves out at the end of the tenancy. Jeonse deposit is very important in the Korean real estate market since it is directly related to the residential property sales price and it is a key indicator to predict future real estate market trend. Jeonse deposit data shows a skewed and heteroscedastic distribution and the commonly used mean regression model may be inappropriate for the analysis of Jeonse deposit data. In this paper, we apply a Bayesian quantile regression model to analyze Jeonse deposit data, which is non-parametric and does not require any distributional assumptions. Analysis results show that the quantile regression coefficients of most explanatory variables change dramatically for different quantiles. The regression coefficients of some variables have different signs for different quantiles, implying that even the same variable may affect the Jeonse deposit in the opposite direction depending on the amount of deposit.