• Korean Journal of Social Welfare
• /
• v.64 no.4
• /
• pp.285-310
• /
• 2012

This study examined the causal relationship of between stressors and depression using the wave 1~4 of Korean Welfare Panel Study by social stress theory. According to the result, the level of depression and depressed group was decreased in the course of time. As a panel regression analysis, Factors affecting the reduction of depression was upward of the income hierarchy, increase the satisfaction of family and social relationships, and residential satisfaction. Based on the results, the author suggested that social work policies and intervention direction should decrease social stress factors with causality to depression of the men in baby boom generation.

• Proceedings of the Korean Society of Computer Information Conference
• /
• 2017.07a
• /
• pp.186-189
• /
• 2017

본 연구에서는 한국복지패널 10차년(2015년)도 자료를 이용하여 베이비부머세대의 삶의 만족에 영향을 미치는 요인에 대한 통합적 접근을 시도하고자 한다. 삶의 만족에 영향을 미치는 변인으로는 성별, 교육수준, 건강상태 등의 인구학적 요인, 경제적 요인으로 가구소득, 심리적 요인으로 우울과 자아존중감, 사회적 요인으로 신뢰와 상호호혜성, 가구수준과 종사상 지위 등을 독립변수로 설정하여 기술통계분석, 상관분석, 회귀분석 등을 실시하였다. 분석결과, 베이비부머의 삶의 만족에 대해 건강상태(B=.236, t=9.914, p<.001), 가구소득(B=.131, t=4.535, p<.001), 우울(B=-.186, t=-7.568, p<.001), 자아존중감(B=.286, t=11.080, p<.001), 신뢰(B=.049, t=2.128, p<.05), 종사상 지위(B=.081, t=3.284, p<.01) 등이 유의미한 영향을 미치는 것으로 분석되었다.

• The Journal of the Korea Contents Association
• /
• v.19 no.5
• /
• pp.178-186
• /
• 2019

Previous studies have shown the significant association between loneliness and game addiction. To determine the causal relationship between them, the present study utilized a series of autoregressive cross-lagged models to early adolescent panel data (N = 346) from KOCCA's Game User Panel Research. Results indicated that loneliness and game addiction, respectively, had relatively strong and stable autoregressive effects across four time points. Also, game addiction at a prior time increased loneliness at a later time, but loneliness was not significantly related to game addiction later in time. These results suggest that game addiction may cause loneliness, not the vice versa.

• The Journal of shipping and logistics
• /
• v.35 no.1
• /
• pp.21-50
• /
• 2019

The aim of this study is to analyse a characteristic analysis of coastal passenger vessels' voyage scheduling using the Panel Regression Analysis. The GLS and Fixed Effect Analysis show that the number of canceled flights and passenger transport performance have a positive impact on the voyage scheduling, and that the freight transport performance and freight income vary from model to model. Also, through the LSDV and OLS analysis, the trend of cluster formation by regional office was confirmed. This indicates that there are frequent changes in passenger ship companies and ships, and in-depth plans are needed in various respects rather than the expansion of unconditional ships. Subsequent studies need to generate more detailed and practical results by further analysis of detailed factors, dividing them by route and vessel type.

• Journal of Technology Innovation
• /
• v.25 no.3
• /
• pp.83-113
• /
• 2017

This paper constructs panel data of inventors listed on patents applied for the KIPO during 1991-2005 and analyzes the effects of network characteristics on inventor productivity. The findings are as follows: ⅰ) Strong ties within a network have positive effects on inventor productivity. ⅱ) An inventor with high centrality shows high producitivity. ⅲ) Technological diversity of a network enhances inventor productivity. ⅳ) An inventor belonging to a network of good quality shows higher productivity. ⅴ) Network size is positively related with inventor producitvity. ⅵ) A lone inventor shows the highest productivity among types of inventors, and a co-inventor with the experience of standalone invention is more productive compared to an inventor with only the experience of co-invention. ⅶ) The productivity effects of network variables differ across regions. ⅷ) Differences among regions do not decrease though geographical boundaries become less important.

• The Korean Journal of Applied Statistics
• /
• v.29 no.5
• /
• pp.873-885
• /
• 2016

Onions are grown in a few specific regions of Korea that depend on the climate and the regional characteristic of the production area. Therefore, when onion yields are to be estimated, it is reasonable to use a statistical model in which both the climate and the region are considered simultaneously. In this paper, using a spatial panel regression model, we predicted onion yields with the different weather conditions of the regions. We used the spatial auto regressive (SAR) model that reflects the spatial lag, and panel data of several climate variables for 13 main onion production areas from 2006 to 2015. The spatial weight matrix was considered for the model by the threshold value method and the nearest neighbor method, respectively. Autocorrelation was detected to be significant for the best fitted model using the nearest neighbor method. The random effects model was chosen by the Hausman test, and the significant climate variables of the model were the cumulative duration time of sunshine (January), the average relative humidity (April), the average minimum temperature (June), and the cumulative precipitation (November).

• The Journal of the Korea Contents Association
• /
• v.22 no.4
• /
• pp.433-444
• /
• 2022

This study aimed to identify the change trajectories and clusters of Korean women's family values and depression levels, and the factors affecting depression, to use balanced panel data from the 1st to 7th rounds of the Korea Longitudinal Survey of Women and Families(KLSWF). The subjects of this study were 5,048 female panelists who participated in the KLSWF, and LSTM analysis was conducted using Python to divide the clusters of Korean women suffering from depression. In addition, descriptive statistical analysis, ANOVA, multinomial logistic regression analysis, and hierarchical regression analysis were analyzed using SPSS 23.0. Results, It was confirmed that women's depression increased with age, and family values had a significant impact on depression. It was found that the more open the marriage values of women in the married group, the higher the level of depression. The family values trajectory and depression level of the analyzed subjects were not a single pattern, but included four clusters. To prevent depression among Korean women and provide more concrete interventions, a humanities and sociological system that can identify depression groups should be prepared.

• Journal of Digital Convergence
• /
• v.16 no.7
• /
• pp.19-26
• /
• 2018

This study is purposed to analyze how the utilization of rehabilitation services and the desire for service utilization changes with time, to explain the factors affecting service needs and to suggest direction of policy improvement for injured workers. Using the Workers' Compensation Insurance Panel Data ver.1~3, this study analyzed 5,004 observations. Panel regression analysis was performed using STATA to examine changes over time. Two key findings were made: first, the factors influencing the degree of need for rehabilitation services were age, educational period, ability on job performance, community service experience, re-employment and unemployment; second, the significant factors influencing the degree of need for rehabilitation services according to time were age, education period, unemployment, ability on job performance, and experience in using community services. That results were different from the previous cross-section analysis. These findings indicate that it is necessary to check and adjust the initial intervention contents after the end of the period of care on a timely base.

• International Area Studies Review
• /
• v.16 no.1
• /
• pp.3-27
• /
• 2012

This paper adopts recently developed panel unit root test that is cross-sectionally robust. Cointegration test is also used to find whether regional house prices are in line with gross regional domestic production (GRDP) in the long run in Korea during 1989-2009. Based on the panel VECM and the panel ARDL models, we examine causal relationships among the variables and estimate the long-run elasticity. We find evidence of cointegration and bidirectional causal relationships between regional house prices and GRDP. The results of long-run estimates, using both fixed effect and ARDL models, show that house prices positively and significantly influence on the GRDP and vice versa. Together with these results, the findings of ARDL-ECM imply that there exists a long-run equilibrium relationship between house prices and regional economic variables even if there is a possibility of short-run deviation from its long-run path.

• The Journal of the Korea Contents Association
• /
• v.18 no.2
• /
• pp.616-625
• /
• 2018

The purpose of this study was to analyze the relationship between the BMI and suicidal ideation using Korean Health Panel data from 2009 to 2013 to identify risk factors for suicide. We conducted a logistic regression analysis using the R statistical package to analyze the relationship between the BMI and the suicidal ideation. The results of this study show that all models with BMI had a statistically significant as a significant variable. It was found that the obese group was more likely to suicide ideation than the other groups. Based on these results, we try to find social implications for suicide prevention and intervention.