• 자원ㆍ환경경제연구
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• 제25권1호
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• pp.89-112
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• 2016

본 논문은 환경쿠즈네츠곡선가설에 기반을 두고, 경제개발 수준과 기술혁신수준이 다른 전세계 88개 국가에 대한 패널데이터를 이용하여, 기술혁신이 이산화탄소배출량 변화에 미치는 영향을 분석하였다. 기술혁신이 온실가스배출량에 직접적으로 미치는 효과와 소득수준을 변화시켜 온실가스배출량에 미치는 간접적 효과를 종합해본 결과, 비록 미세하지만 기술혁신은 결과적으로 온실가스배출량을 증가시키는 것으로 나타났다. 그러나 패널데이터 모형은 각 '시점 내'에서 변수 간 효과를 분석하는 정태적 모형이라는 한계를 가지고 있다. 이를 개선하기 위해 본 논문에서 채용한 Panel VAR(Panel Vector Auto Regression)모형에서는 기술혁신수준이 시차를 두고 온실가스 배출량에 미치는 영향을 분석할 수 있다. 분석 결과 기술혁신(R&D 투자)과 같은 외생적 충격(Shock)이 일인당 온실가스 배출량 감축에 3년 정도의 시차를 두고 영향을 미치는 것으로 나타났다.

• Communications for Statistical Applications and Methods
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• 제19권2호
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• pp.293-301
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• 2012

Quantile regression proposed by Koenker and Bassett (1978) is a statistical technique that estimates conditional quantiles. The advantage of using quantile regression is the robustness in response to large outliers compared to ordinary least squares(OLS) regression. A regression tree approach has been applied to OLS problems to fit flexible models. Loh (2002) proposed the GUIDE algorithm that has a negligible selection bias and relatively low computational cost. Quantile regression can be regarded as an analogue of OLS, therefore it can also be applied to GUIDE regression tree method. Chaudhuri and Loh (2002) proposed a nonparametric quantile regression method that blends key features of piecewise polynomial quantile regression and tree-structured regression based on adaptive recursive partitioning. Lee and Lee (2006) investigated wage determinants in the Korean labor market using the Korean Labor and Income Panel Study(KLIPS). Following Lee and Lee, we fit three kinds of quantile regression tree models to KLIPS data with respect to the quantiles, 0.05, 0.2, 0.5, 0.8, and 0.95. Among the three models, multiple linear piecewise quantile regression model forms the shortest tree structure, while the piecewise constant quantile regression model has a deeper tree structure with more terminal nodes in general. Age, gender, marriage status, and education seem to be the determinants of the wage level throughout the quantiles; in addition, education experience appears as the important determinant of the wage level in the highly paid group.

• International Journal of Advanced Culture Technology
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• 제9권1호
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• pp.114-120
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• 2021

This study aims to discover how self-esteem and social competence in early childhood affect school adjustment in elementary school. This study used the 7th year (2014) and 10th year (2017) of the panel study on Korean children, which are longitudinal research data from the Korea Institute of Child Care and Education (KICCE). Pearson's correlation analysis and hierarchical regression analysis were used as the main statistical analysis methods. The analysis was performed using the the Spss 21.0 program. As a result of this study, peer acceptance among early childhood's self-esteem, assertion, cooperation, and self-control among social competence have influences on adjustment to elementary school life. This study is meaningful in that it is a longitudinal study conducted with a time difference for 3 years with the same subjects in order to investigate the influence of the inner factors of early childhood on school adjustment in elementary school.

• 디지털융복합연구
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• 제18권6호
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• pp.297-309
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• 2020

본 연구는 국내 공공 DB에 데이터마이닝 기법인 로지스틱 회귀분석과 의사결정나무 분석을 적용하여 국내 청소년의 삶의 만족도 증진에 관한 의미 있는 의사결정 규칙을 추출하는 과정을 분석한다. 분석을 위하여 한국아동·청소년패널조사(KYCPS) 중에서 중1 패널데이터의 4~6차연도 자료인 고등학생 학년별 자료를 활용하였다. 로지스틱 회귀분석으로 추출된 영향요인은 1학년은 전체 성적 만족도, 주의집중 문제, 우울, 자아 탄력성, 애정, 과잉간섭, 학습활동, 교사관계, 2학년은 가정의 경제 수준, 건강상태, 전체 성적 만족도, 신뢰, 소외, 학습활동, 학교규칙, 교우관계, 교사 관계, 3학년은 가정의 경제 수준, 전체 성적 만족도, 우울, 자아 탄력성, 애정, 학대, 학교규칙, 교사 관계로 나타났다. 의사결정나무 기법을 적용한 결과 국내 고등학생의 삶의 만족도는 개인의 정서 문제, 학교성적, 가정의 경제적 환경, 학교적응 등에 의하여 복합적으로 영향을 받는 것으로 파악되었다.

• 대한한의학회지
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• 제35권3호
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• pp.22-31
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• 2014

Objectives: The aim of this study was to identify the complementary and substitute relationships between the use of Korean medicine (KM) and that of Western medicine (WM) in the treatment of musculoskeletal disease. Methods: We analyzed the 2009 Korea Health Panel dataset. General characteristics and the medical utilization of respondents were analyzed descriptively. Logistic regression, negative binominal regression, and Tobit regression analysis were used to identify the relationships between the use of KM and the use, visit frequency, and expenses of WM, respectively. Results: In the treatment of musculoskeletal disease, KM use and non-herbal treatments with Korean medicine significantly reduced WM use. Herb medication use significantly increased WM visit frequency. There were no significant relationships between KM use and WM expenses. Conclusions: There are substitute relationships between WM use and KM use, especially non-herbal treatments in KM. Therefore we need to develop the clinical protocols of KM and WM treatments in the treatment of musculoskeletal disease for proper distribution medical resources.

• The Journal of Asian Finance, Economics and Business
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• 제7권7호
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• pp.139-147
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• 2020

This paper aims to explore the relationship between the quality of the audit and the level of stock return co-movement in the context of the Vietnamese emerging market. The empirical study is designed based on the quatitative method and deductive approach. The panel dataset includes 256 listed firms from different industries,with 1115 firm-year observations on Ho Chi Minh City Stock Exchange for the period from 2014 to 2018. In the research, we built the econometric regression model, using stock return synchronicity and audit quality as the dependent and independent variable, respectively. Some control variables are also added to the econometric regression models as they are well-documented in prior research to have an effect on stock price synchronicity. To improve the accuracy of the regression coefficients, beside the Ordinary Least Squares, we employ the Random Effects Model and the Fixed Effects Model for better statistical analysis of panel data set. The results show that the quality of the audit is positively correlated to stock price synchronicity. This finding suggests that stock returns of companies with higher quality of the audit are more synchronous with the market. Results for other control variables also support our reasoning for the main findings.

• 한국엔터테인먼트산업학회논문지
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• 제14권2호
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• pp.225-235
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• 2020

본 연구는 골다공증 환자의 라이프 케어 증진을 위한 미충족 의료실태와 위험요인 분석하기 위하여 패널 자료를 활용한 횡단적 2차 분석 조사연구이다. 연구대상자는 한국의료패널 2015년 자료(β-version 1.0)를 활용하여 골다공증 진단을 받은 941명을 대상으로 하였다. SPSS/win 22.0 Program을 이용하여 χ² test, logistic regression을 이용하여 자료를 분석하였다. 연구결과 골다공증 환자의 미충족 의료 발생률은 22.6%이었으며, 인구학적 특성 요인의 Model I에서는 나이, 교육수준으로 나타났으며, 신체적 요인을 추가한 Model II에서는 섭식문제, 기억력 장애, 활동제한, 장애 판정으로 나타났다. 심리·사회적 요인을 추가한 Model III에서는 섭식문제, 기억력 장애, 총 가구 소득, 통증/불편감으로 확인되었다. 본 연구 결과를 바탕으로 골다공증 환자의 라이프 케어를 증진시키기 위해 지속적으로 의료정책 기획 시 고려되어져야 하겠으며, 미충족 의료를 감소시키기 위한 의료서비스 접근성 개선과 현실적인 예방 및 중재가 필요하겠다.

• 동의신경정신과학회지
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• 제34권4호
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• pp.349-358
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• 2023

Objectives: We used the 2019 Korea Health Panel Annual Data to analyze factors related to visits to Korean medicine (KM) outpatient clinics among patients with mood disorders in Korea. Methods: Individuals aged 19 years or older, with depressive or bipolar disorders, and with a record of using Western medicine (WM) and/or the KM medical service were included. The 266 subjects were classified into the WM group or the integrative medicine (IM) group. The Andersen healthcare utilization model was used to analyze factors that potentially influenced the subjects' healthcare utilization. Binomial logistic regression analysis was used to analyze factors influencing the use of IM medical services. Results: Among the subjects, 75.56% (n=201) were in the WM group, and 24.44% (n=65) were in the IM group. Statistically significant differences were observed in residential areas, total annual income, the presence of disability, and the level of pain/discomfort between the two groups. Regression analysis found that residential areas and pain/discomfort were factors related to the use of IM services. Specifically, reporting "a lot" of pain/discomfort compared to "no" pain/discomfort showed a significant positive relationship with the use of IM (odds ratio=4.57, 95% confidence interval=1.79 to 11.70). Conclusions: This study was the first to analyze the status of KM medical service use and related factors among patients with mood disorders in Korea. The finding that the presence of pain/discomfort was positively correlated with the use of KM services is potentially related to medically unexplained physical symptoms or somatization phenomena.

• Asian Journal of Business Environment
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• 제12권3호
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• pp.23-30
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• 2022

Purpose: This study aims to determine the effect of broadband access, education level, population numbers, and investment on the unemployment rate in Indonesia. Research design, data, and methodology: This study uses panel data from 34 provinces from 2016 to 2019. The analysis uses the fixed-effect model for panel data with the Feasible Generalized Least Square (FGLS) estimation method. Results: Broadband access has a negative and significant effect on the unemployment rate. Mean years of school, population, and foreign direct investment also have a negative and significant impact on the unemployment rate. In contrast, the domestic direct investment variable has a positive and significant effect. Conclusion: The availability of broadband access in an area allows easier and faster access to information. The ease of access to such information can affect producing goods and services, encouraging innovation and employment growth, and reducing the unemployment rate. This research recommends that the government intensify the Indonesia Broadband Plan policy to accelerate the development and equitable distribution of broadband access in all regions of Indonesia.

• 보건교육건강증진학회지
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• 제31권3호
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• pp.27-37
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• 2014

Objectives: This study aims to identify the factors associated with regular medical services utilization of chronic disease patients. Methods: The research selected 4,489 adults aged over 30, diagnosed with hypertension, diabetes, hyperlipidemia, hypercholesterolemia, from the Korea health panel. We analyzed states of regular medical service utilization using descriptive statistics. Multiple regression analysis was used to examine the main factors associated with regular medical services utilization in chronic disease patients. Results: In terms of socio-demographic factors, gender, age, marital status, education level, employment, household income and disability were significantly different between hypertension, diabetes, hyperlipidemia and hypercholesterolemia. Among health status and behavioral factors, number of chronic diseases, subjective health status, smoking, high risk drinking, regular meals, physical activity, obesity were significantly different. From the multiple logistic regression analysis, age, number of chronic diseases, obesity, type of chronic diseases were associated with regular medical services utilization. Conclusions: It is necessary to develop effective health education programs and individualized approach to improve continuous management in chronic diseases patients.