• Journal of Preventive Medicine and Public Health
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• 제56권1호
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• pp.59-66
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• 2023

Objectives: The aim of this study was to evaluate the effect of body weight status and sleep duration on the discrete-time hazard of menarche in Korean schoolgirls using multiple-point prospective panel data. Methods: The study included 914 girls in the 2010 Korean Children and Youth Panel Study who were in the elementary first-grader panel from 2010 until 2016. We used a Gompertz regression model to estimate the effects of weight status based on age-specific and sex-specific body mass index (BMI) percentile and sleep duration on an early schoolchild's conditional probability of menarche during a given time interval using general health condition and annual household income as covariates. Results: Gompertz regression of time to menarche data collected from the Korean Children and Youth Panel Study 2010 suggested that being overweight or sleeping less than the recommended duration was related to an increased hazard of menarche compared to being average weight and sleeping 9 hours to 11 hours, by 1.63 times and 1.38 times, respectively, while other covariates were fixed. In contrast, being underweight was associated with a 66% lower discrete-time hazard of menarche. Conclusions: Weight status based on BMI percentiles and sleep duration in the early school years affect the hazard of menarche.

• 유통과학연구
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• 제12권11호
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• pp.25-34
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• 2014

Purpose - Considering that the governments' official statistics on the optimum scale of the domestic service industry will be crucial in future, this study's results will be used as an important benchmark to develop and verify the parameters in the government's official statistics. Research design, data, and methodology - To identify the appropriate scale of Korea's service industry and its adequacy, I have determined them through estimation using a regression method involving panel data analysis on the panel data of 30 OECD countries. Results - The regression coefficient provided indications of being non-linear. This means that a U-shaped curve relationship exists-that is, the level of the economic growth leverage decreases along with the service industry's growth up to the level of 70.9% in terms of the Korean service industry's adequacy; it increases along with the service industry's growth at a level higher than 70.9%. Conclusions - While the current proportion of the size of the service industry among all industries in Korea stands at 50.7%, its proper proportion estimated by a regression analysis was 70.9%.

• 한국안전학회지
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• 제27권3호
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• pp.141-146
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• 2012

This study deals with the accident model using panel data which are composed of time series data of 2005 through 2007 and cross sectional data of link sections in Cheongju. Panel data are repeatedly collected over time from the same sample. The purpose of the study is to develop the traffic accident model using the above panel data. In pursuing the above, this study gives particular attentions to deriving the optimal models among various models including TSCSREG (Time Series Cross Section Regression). The main results are as follows. First, 8 panel data models which explained the various effects of accidents were developed. Second, $R^2$ values of fixed effect models were analyzed to be higher than those of random effect models. Finally, such the variables as the sum of the number of crosswalk on intersections and sum of the number of intersections were analyzed to be positive to the accidents.

• 무역학회지
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• 제47권6호
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• pp.173-187
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• 2022

Since the economic reform 1991, Indian has been implementing policies to promote trade and foreign direct investment (FDI). In particular, since the inauguration of the Modi government in 2014, India has created an economic environment in which more FDI can be launched and more jobs created in manufacturing sector. This study aims to analyze between FDI outflows and export from Korea to India. Using the quarter data from 2000 to 2021, this study examines panel regression. From the panel regression result, Korea's FDI outflows to India has a significantly positive impact on the Korea's export into India. Therefore, the relationship between FDI outflows and export from Korea to India is complementary. It is due that Korea's companies invest into India directly for the purpose of construction of production factors, and export capital goods and intermediate goods for producing in the factors. Therefore, for promoting FDI and export between Korea and India, Korean government should do continuous economic cooperation and discussion for the cooperation with Indian government.

• 한국항만경제학회지
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• 제35권1호
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• pp.57-76
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• 2019

본 연구는 우리나라 산업 발전에 크게 기여한 운송산업의 주체인 운송업 종사자의 고용생산성 결정요인에 대해 다룬다. 본 연구는 노동패널자료를 활용해 운송업의 고용생산성 결정요인을 선정하고 패널 로지스틱 회귀 모형(Panel Logistic Regression), Panel OLS 모형, Panel Robust regression 모형을 활용하여 요인 간 영향력을 분석하였다. 분석 결과는 다음과 같다. 첫째, 정규직 여부의 경우 '학력'이 높을수록, '노조가입' 할수록, '직업훈련 경험'이 있을수록 긍정적인 효과가 나타난 것으로 분석되었다. 둘째, 고용안정성은 '학력'이 높고 '노조가입' 할수록 긍정적인 영향이 미치는 것으로 조사되었으며, '회사규모'가 크고 '기혼'일 경우 고용안정성이 큰 것으로 분석되었다. 셋째, 소득생산성의 경우 '나이', '학력', '회사규모'의 값이 클수록 긍정적인 영향을 미치고 '직업훈련 이외의 교육', '건강상태'의 값이 클수록 부정적인 영향을 미치는 것으로 분석되었다. 넷째, 직무만족도의 경우는 '여성'일수록, '노조가입' 할수록, '소득'이 높을수록, '고용안정성'이 높을수록 높았고, '보통사람대비 건강상태'가 좋을수록, '전반적 생활만족도'와 '경제적 수준'이 높을수록 직무만족도는 낮은 것으로 분석되었다. 본 연구에서 도출한 운송산업 고용생산성 결정요인의 분석과 향상 방안 모색을 통해 운송업 고용 생산성 향상에 기여할 수 있을 것으로 생각된다.

• Communications for Statistical Applications and Methods
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• 제26권3호
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• pp.315-323
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• 2019

Panel data sets have recently been developed in various areas, and many recent studies have analyzed panel, or longitudinal data sets. Often a dichotomous dependent variable occur in survival analysis, biomedical and epidemiological studies that is analyzed by a generalized linear mixed effects model (GLMM). The most common estimation method for the binary panel data may be the maximum likelihood (ML). Many statistical packages provide ML estimates; however, the estimates are computed from numerically approximated likelihood function. For instance, R packages, pglm (Croissant, 2017) approximate the likelihood function by the Gauss-Hermite quadratures, while Rchoice (Sarrias, Journal of Statistical Software, 74, 1-31, 2016) use a Monte Carlo integration method for the approximation. As a result, it can be observed that different packages give different results because of different numerical computation methods. In this note, we discuss the pros and cons of numerical methods compared with the exact computation method.

• Communications for Statistical Applications and Methods
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• 제17권6호
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• pp.899-907
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• 2010

무응답 대체(non-response imputation) 방법에 관한 많은 이론과 방법이 제안되었으며 실제 자료 분석에 이용되고 있다. 흔히 횡단면 무응답 대체를 위하여 다중대체법(multiple imputation)이 사용되고 있으며 2차년도 이상의 패널자료에는 종시점회귀대체법(cross-wave regression imputation)이 사용되고 있다. 본 연구에서는 패널자료 분석을 위하여 종시점회귀대체법의 일반형태인 시계열 대체법과 횡단면 무응답 대체법을 결합한 시계열-횡단면 다중 대체법을 제안하였다. 노동부의 매월노동통계 자료를 이용하여 제안한 방법과 기존의 종시점회귀대체법을 비교하여 우수함을 보였다.

• The Journal of Asian Finance, Economics and Business
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• 제8권2호
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• pp.99-109
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• 2021

This study aims to examine the causal links between the fiscal components, i.e., government expenditures (GE) and government revenues (GR), and their impact on the economic growth of the Association of Southeast Asian Nations (ASEAN) region. This analysis considered secondary panel data from 1990 to 2019 at an annual frequency. The data is obtained from the Asian Development Bank (ADB) and World Bank Database. A panel cointegration and panel DH causality (Dumitrescu and Hurlin) approach was employed on financial data at an annual frequency from 1990 to 2019. The findings from panel unit root and panel cointegration tests demonstrate that, at first, all the variables are stationary and cointegrated. The panel ARDL disclosed that GE has a long-run connection with GDP, is significantly and positively associated with economic growth in the long run, whereas GR is significant in the short run. The contribution of GE is high in sustaining economic growth as compared to GR. Also, cointegration regression disclosed that GE is more sensitive toward GDP, while GR is less elastic. Lastly, the findings reveal that bidirectional causality exists between GE and GR variables. These results have policy implications for sustainable economic growth in the ASEAN region.

• 한국조사연구학회지:조사연구
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• 제11권1호
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• pp.1-18
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• 2010

본 논문에서는 패널조사에서 발생하는 웨이브 무응답을 대체하는 방법을 고찰하였다. 패널조사에서는 이전 조사 데이터를 무응답 대체에 활용할 수 있기 때문에 이러한 성질을 이용하면 횡단면 무응답 대체보다 더 효과적인 웨이브 무응답 대체법을 찾을 수 있다. 먼저 웨이브 무응답 대체를 사용하는 해외의 주요 패널조사를 살펴보고, 웨이브 무응답 대체방법 중 종단면 회귀대체법, 이월대체법, 최근방 회귀대체법, 그리고 행렬대체법을 고찰하였다. 그리고 웨이브 무응답 대체법의 성능을 비교하기 위하여 한국복지패널 데이터를 대상으로 모의실험을 실시하였다. 성능을 비교하기 위하여 평균대체, 회귀대체, 비대체, 최근방 대체, 핫덱 대체를 고려하였고 성능평가 지표로는 예측 정확성 지표와 추정 정확성 지표를 이용하였다. 모의실험 결과 비대체, 행렬대체는 두 지표 모두 우수했고, 회귀대체, 종단면 회귀대체, 이월대체는 예측 정확성은 우수한 반면 추정 정확성은 다소 떨어졌으며, 반대로 최근방 회귀대체, 최근방 대체, 핫덱 대체는 예측 정확성은 떨어지나 추정 정확성은 높은 것으로 나타났다. 마지막으로 평균 대체는 두 지표 모두 좋지 않았다.

• Journal of Information Technology Applications and Management
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• 제27권6호
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• pp.153-170
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• 2020

The Educational Restitution Rate is an important parameter that determines the quality of university education. This paper analyzed data from 148 private universities over the 10 years from 2009 to 2018 using data mining techniques in Korea. A significant causal relationship is detected in the fixed effect model as a result of the panel estimation. And the scale of faculty expansion and fund management, which are the university evaluation indicators, and the size of basic funds, respectively, have a positive effect on the ERR, which is within the confidence interval. In the analysis, the more private universities improve the tuition dependence rate, the more decisively positive affecting ERR. As a result of nonparametric regression estimation, when the faculty expansion ratio is reinforced, the effect of economies of scale is detected in some sections, the improvement of the tuition dependence rate, and the result value is generated through the improvement that results are derived at a certain point in time. We hope that the university based on this study can be a basic Indicators for the diagnosis of basic competencies and policy of student-centered education.