• Journal of Korean Home Economics Education Association
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• v.33 no.4
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• pp.31-48
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• 2021

The purpose of this study was to provide an understanding of the trajectories of multidimensional health among older adults, including depression, chronic diseases, and cognitive function. Data were drawn from the 1-6 waves of the Korean Longitudinal Study of Ageing(KLoSA), and a sample of 2,059 respondents aged 65 and older at baseline was used for the analyses. Latent growth curve models and growth mixture models were used to explore the changes in depression, chronic diseases, cognitive function, and heterogeneous trajectories among them. One-way ANOVAs with Scheffé post-hoc analysis and chi-square tests were used to find differences in sociodemographic characteristics, health behaviors, and life satisfaction across the latent trajectory classes. Latent growth curve models revealed that depressive symptoms and the number of chronic diseases increased over time, while cognitive function showed gradual decreases. Three heterogeneous patterns of multidimensional health trajectories were identified: normal aging, increase in chronic diseases, and chronic deterioration. Significant differences were observed in sociodemographic characteristics, health behaviors, and life satisfaction across the three latent classes. In particular, low educational attainment, household income, and life satisfaction were associated with the chronic deterioration class. Based on the findings, we discussed suggestions for health promotion education targeting older adults. This study also emphasizes the importance of home economics education in promoting health literacy across the life course.

• The Mathematical Education
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• v.63 no.1
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• pp.19-33
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• 2024

This study investigates longitudinal patterns in middle school students' mathematics interest and achievement using panel data from the 4th to 6th year of the Gyeonggi Education Panel Study. Results from the multivariate growth mixture model confirmed the existence of heterogeneous characteristics in the longitudinal trajectory of students' mathematics interest and achievement. Students were classified into four latent classes: a low-level class with weak interest and achievement, a high-level class with strong interest and achievement, a middlelevel-increasing class where interest and achievement rise with grade, and a middle-level-decreasing class where interest and achievement decline with grade. Each class exhibited distinct patterns in the change of interest and achievement. Moreover, an examination of the correlation between intercepts and slopes in the multivariate growth mixture model reveals a positive association between interest and achievement with respect to their initial values and growth rates. We further explore predictive variables influencing latent class assignment. The results indicated that students' educational ambition and time spent on private education positively affect mathematics interest and achievement, and the influence of prior learning varies based on its intensity. The perceived instruction method significantly impacts latent class assignment: teacher-centered instruction increases the likelihood of belonging to higher-level classes, while learner-centered instruction increases the likelihood of belonging to lower-level classes. This study has significant implications as it presents a new method for analyzing the longitudinal patterns of students' characteristics in mathematics education through the application of the multivariate growth mixture model.

• Convergence Security Journal
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• v.6 no.3
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• pp.117-126
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• 2006

Bayesian inference and model selection method for software reliability growth models are studied. Software reliability growth models are used in testing stages of software development to model the error content and time intervals between software failures. In this paper, could avoid multiple integration using Gibbs sampling, which is a kind of Markov Chain Monte Carlo method to compute the posterior distribution. Bayesian inference for general order statistics models in software reliability with diffuse prior information and model selection method are studied. For model determination and selection, explored goodness of fit (the error sum of squares), trend tests. The methodology developed in this paper is exemplified with a software reliability random data set introduced by of Weibull distribution(shape 2 & scale 5) of Minitab (version 14) statistical package.

• KDI Journal of Economic Policy
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• v.15 no.1
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• pp.3-86
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• 1993

본(本) 거시경제모형(巨視經濟模型)은 "케인즈"적인 소득지출모형(所得支出模型)으로서, 최근 개방화 및 자율화추세에 따라 크게 변모한 경제구조하에서 예측의 정확도를 높이고 대내외여건(對內外與件) 변화(變化)에 기인한 제반 영향을 보다 명확하게 분석하기 위해서 작성되었다. 모형(模型)의 구조(構造)는 6개 부문, 162개의 방정식으로 구성되어 있으며, 70년대와 80년대의 구조변화(構造變化)를 고려하여 1982년부터 1991년까지를 추정대상 기간으로 삼았다. 기존의 KDI 분기모형과 비교할 때 본(本) 개정모형(改定模型)의 가장 두드러진 특징은 총량변수를 항목별로 세분하여 대내외여건 변화시 경제에 마치는 영향을 기존의 총량수준보다 한 단계 더 세분화된 수준에서 파악하고자 한 점이다. 또한 각종 가격변수들의 시장조절기능(市場調節機能)을 반영하기 위해서 금리(金利), 임금(賃金), 환율(換率) 등을 내생화(內生化)하였고, 총통화(總通貨)와 장기자본수지(長期資本收支) 등도 모형내에서 결정되도록 하였다. 역사적(歷史的) 시뮬레이션의 결과, 주요 내생변수의 평균자승근퍼센트오차가 5% 내외의 양호한 수준을 나타냄으로써 본(本) 모형(模型)이 80년대의 구조변화(構造變化)를 적절히 반영하고 있다고 볼 수 있다. 정책(政策)시뮬레이션은 원유 및 원자재수입가격과 같은 해외여건(海外與件) 변화(變化)와, 기타건설(其他建設), 정부소비지출(政府消費支出), 국내민간신용(國內民間信用)의 확대와 같은 정책변화(政策變化)의 두 부문으로 나누어 시행하였다. 원유 및 원자재가격의 상승은 우리 경제에 부(負)의 공급충격(供給衝擊)으로 작용함으로써 성장을 둔화시키고 물가를 상승시켰으며, SOC 투자를 포함한 기타건설(其他建設)의 증가(增加), 정부소비지출(政府消費支出),의 확대(擴大), 민간신용(民間信用)의 증가(增加)는 모두 단기적으로 경기부양의 효과는 있으나 장기적으로 물가를 더욱 상승시키는 것으로 나타나 물가(物價)와 성장(成長)이 서로 상충관계에 있는 것으로 파악되었다.

• Journal of the Korean Association of Geographic Information Studies
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• v.19 no.3
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• pp.75-88
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• 2016

In this study, we used the CLUE-s model to predict the future land-use change based on the urban growth scenario in South Korea. The land-use maps of six classes (water, urban, rice paddy, upland crop, forest, and grass) for the year 2008 were obtained from the Ministry of Environment (MOE), and the land-use data for 5-year intervals between 1980 and 2010 were obtained from the Water Resources Management Information System (WAMIS), South Korea. For predicting the future land-use change, the MOE environmental conservation value assessment map (ECVAM) was considered for identifying the development-restricted areas, and various driving factors as location characteristics were prepared for the model. The predicted results were verified by comparing them with the land-use statistics of urban areas in each province for the year 2008. The prediction error rates were 9.47% in Gyeonggi, 9.96% in Gangwon, 10.63% in Chungbuk, 7.53% in Chungnam, 9.48% in Jeonbuk, 6.92% in Jeonnam, 2.50% in Gyeongbuk, and 8.09% in Gyeongnam. The sources of error might come from the gaps between the development of political decisions in reality with spatio-temporal variation and the mathematical model for urban growth rate in CLUE-s model for future scenarios. Based on the land-use scenario in 2008, the land-use predictions for the year 2100 showed that the urban area increased by 28.24%, and the rice paddy, upland crop, and forest areas decreased by 8.27, 6.72, and 1.66%, respectively, in South Korea.

• Journal of Korean Society of Transportation
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• v.22 no.3 s.74
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• pp.17-26
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• 2004

항공운송산업에서 항공화물이 차지하는 비중이 점차적으로 확대되고 있으며 향후 2020년(보잉은 2022년)까지의 성장률도 보잉과 에어버스에서는 여객 수요보다 화물수요가 각 1.3%, 0.8%의 높은 성장을 거둘 것이라는 전망을 하고 있다. 특히 에어버스에서는 아시아 태평양 지역 역내와 중국 발 유럽행의 항공화물이 평균 7.0%의 높은 성장을 할 것으로 전망하고 있다. 이러한 높은 성장 전망 외에도 항공화물이 항공운송산업 혹은 세계경제의 선행지표로도 사용되고 있다. 이렇듯 항공운송산업에서 항공화물 부문의 역할이 점차적으로 증대되고 있어 본 연구에서는 항공화물 사업부문에 많은 활동을 하고 있는 항공사의 효율성이 그렇지 않은 항공사의 효율성을 비교하는 연구를 하였다. 먼저 항공 화물 매출액 기준 상위 10개사(2002년 기준)의 효율성을 자료포락 분석(DEA, Data Envelopment Analysis)을 이용 분석하였다. 그리고 이를 이용하여 항공사 전체 매출액 상위 10개사(화물 매출액 상위 10개사를 제외), 미국의 9개 항공사(상위 50대 항공사 중), 기타 10개사를 선정하여 각각의 효율성 비교를 통하여 항공화물 사업을 활발히 하는 항공사와 그렇지 않은 항공사와의 효율성에 대해 상대적 비교를 하였다. 이를 통해 항공화물 사업 부문이 항공사의 경영 효율성에 미치는 영향에 대해 간접 비교를 시도하였다. 분석 결과 항공운송사업중 항공화물 부문이 상위 10대 항공사 효율성이 다른 그룹의 항공사 보다 높게 제시되었다. 이는 항공사의 운송 사업을 화물 운송과 여객 운송 부문의 공동 네트워크의 활용을 통한 시너지 효과를 통해 항공사 효율성을 높일 수 있음을 의미한다.

• Journal of Korea Society of Industrial Information Systems
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• v.18 no.4
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• pp.61-72
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• 2013

The relationship between export growth and economic growth in developing countries has been one of the main issues in the growth theory field. Many of empirical studies have been done during the last three decades in order to investigate the export-led growth hypothesis using either time-series or cross-sectional data mainly in developing countries. This paper applies cointegration and error correction models to test causal relationship between export growth and economic growth in the Korean 8 manufacturing industries using the industrial time-series quarterly data over 1975-2010. The export-output relationship is tested by including industrial capital stock and the industrial labor force as exogenous variables. The cointegration and error-correction modelling technique with industrial export and output data have showed the strong evidence that there is a bi-directional causality between industrial export and industrial output in 6 manufacturing industries except wood & pulp and nonmetallic industries.

• The Journal of the Korea Contents Association
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• v.16 no.12
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• pp.507-517
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• 2016

This study examines the types and characteristics of traumatic events middle-aged women experience and to explore the effects of attachment in the process of post-traumatic growth and forming a self-realization. 221 of participants were middle-aged women from the area of Seoul, Gyeong-Gi and the survey was composed of post-traumatic experience questionnaire, attachment scale, post-traumatic growth scale, self-realization scale. The type and characteristics of traumatic experience by middle-aged women were executed by frequency analysis and correlation with the structural equation model validation was used in order to analyze the relationship between each variable. the major findings are First, the loss of someone close(such as death, breaking up, divorce, breaking off) was reported as something general yet the biggest crisis event, Second, looking at the relationship between attachment, post-traumatic growth and self-realization, the secure parental attachment and spiritual transformation showed the correlation in all subregions except the subvariables of humanity and self-acceptance and Third, the results of Structural Equation Modeling shows that attachment has a static effect on post-traumatic growth and self-realization, and post-traumatic growth appeared to be the mediating factor of attachment and self-realization.

• The Journal of the Korea Contents Association
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• v.17 no.5
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• pp.285-304
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• 2017

This paper introduces household's decision for schooling and firm's decision for technology-specific training together into the second generation model of endogenous innovation, and analyses how schooling and technology-specific training interact each other, how they respectively affect innovation and economic growth, and also how the portfolio mix of schooling and technology-specific training changes as economy becomes more innovative. Main results are as follows: First, schooling and technology-specific training both have "inverted-U"shape growth effects. Second, schooling investment per labor required for growth maximization is always greater than that for firm profit maximization. Third, the optimal schooling for growth maximization decreases with technology-specific training. Fourth, the schooling effect on technology-specific training is "U"shaped, so that for firm's profit maximization schooling is substitutable for technology-specific training at the relatively lower level of schooling but complementary at its relatively higher level. Fifth, as economy becomes more innovative, the portfolio mix of education changes in favor of schooling.

• International Area Studies Review
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• v.16 no.3
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• pp.77-97
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• 2012

Estimated coefficients has serious problems including inconsistency, biasness, etc. because many researches about the effect of fiscal decentralization on a country's economic growth use the traditional OLS method. Researches use the data intactly so that so called "spurious regression" phenomenon exists. This causes fundamental fallacy. This research tries unit root test, cointegration test, and then estimates the United States' economic time series by using VECM. The analysis of the effect of the state level-fiscal decentralization on economic growth shows two long term-equilibriums. During short term-dynamic adjustment, fiscal decentralization and economic growth move the same or different directions. In case of prediction GDP increases steeply and then from 2015 gently; and fiscal decentralization index shows a general reduction trend and then decreases slowly. At local level it shows two long term-equilibriums. During short term-dynamic adjustment, fiscal decentralization and economic growth also move the same or different directions. Impulse response analysis shows the very negative effect of fiscal decentralization on economic growth.