• Journal of the Korean Data and Information Science Society
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• v.27 no.4
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• pp.1013-1025
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• 2016

The purpose of this study was to analyze longitudinal effect of physical education activity (PEA) score on self-rated health evaluation change (SHEC). This study used hierarchical linear and nonlinear models to investigate of the SHEC during the transition into adolescence (from middle school 1st to high school 2nd grade). Using the Korea children and youth panel survey (KCYPA), data were collected over the course of five years (from 2010 and 2014). HLM 6.8 computer program was used to analyze the data. The result were as follows. First, boys' SHEC increased across the five years, and girls' SHEC decreased across the five years. Second, boys' the self-rated health was increased across the three years and decreased across the two years. Third, girls' the self-rated health was increased across the two years and decreased across the three years. Fourth, the PEA score of 1st grade of high school showed a significant positive association with the boys' SHEC. Fifth, the PEA score of 1st grade of middle school showed a significant negative association with the girls' SHEC.

• Journal of the Korean Data and Information Science Society
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• v.26 no.1
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• pp.65-75
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• 2015

This paper analyzes the determinants of wage for the college and university graduates utilizing both individual-level and industry-level variables. We note that wage determination has multi-level structure in the sense that individual wage is influenced by individual-level variables (level-1) and industry-level (level-2) variables. Then, the assumption that individual wage is independent in the classical regression is violated. Therefore, this paper utilizes the hierarchical linear model (HLM). The major results are the followings. First, the multiple correspondence analysis including level-1 and 2 variables reveals that both level 1 and level 2 variables affects individual wages judging from the fact that the values of level 1 and level 2 variables differ across the different level of individual wage groups. Second, the decision tree analysis including level-1 and 2 variables shows that the most influential variable in wage determination is industry-level wage and the next is industry-level working hour, ages and sex in the decling order in. This suggests that the utilization of the HLM is appropriate since the characteristics of industry is important in determining the individual wage. Third, it is shown that the HLM model is the best compared to the other models which do not take level-1 and level-2 variables simultaneously into account.

• Journal of the Korean Data and Information Science Society
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• v.27 no.4
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• pp.935-946
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• 2016

In this paper, we analyzed wage determinants of the vocational high school graduates utilizing both individual-level and work region-level variables. We formulate the models in the way wage determination has multi-level structure in the sense that individual wage is influenced by individual-level variables (level-1) and work region-level (level-2) variables. To incorporate dependency between individual wages into the model, we utilize hierarchical linear model (HLM). The major results are as follows. First, it is shown that the HLM model is better than the OLS regression models which do not take level-1 and level-2 variables simultaneously into account. Second, random effects on sex, maester dummy and engineering dummy variables are statistically significant. Third, the fixed effects on business hours and mean wage of regular job for level-2 variables are statistically significant effect individual-level wages. Finally, parental education level, parental income, number of licenses and high school grade are statistically significant for higher individual-level wages.

• Journal of Venture Innovation
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• v.1 no.1
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• pp.29-47
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• 2018

As the radical advances of digitalization, our daily life have been fundamentally changed. As a result, the customer journey also changed as compared with previous periods. This study analyzed customer journy of digital age. First, historical trends and issues of customer journey research were analyzed. Second, Comparative analysis of customer journey of digital and previous age were conducted. No more funnel model of customer journey which assumed hierarchical and linear paths was valid. Customer journey of digital age will be non-linear and circular paths.

• Journal of Industrial Convergence
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• v.22 no.1
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• pp.1-20
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• 2024

Regarding the discourse on the correlation between governmental financial support and firm performance, much emphasis has been placed on the role of individual corporate characteristics as well as spatial features. However, there is a notable scarcity of empirical research examining the integrated impact of corporate and cluster characteristics on managerial performance. This study addresses this gap by empirically analyzing the financial and non-financial outcomes resulting from specific allocations of governmental financial support. Additionally, it explores corporate and cluster characteristics predicted to moderate the influence between governmental financial support and firm performance. The analysis employs a two-level hierarchical linear model (HLM) at individual and group levels. The data, reorganized based on business registration numbers at the firm and cluster levels, ultimately utilized panel data from 83,395 firms and 641 clusters. The research findings indicate that governmental financial support demonstrates a positive effect (+) on both sales and patents for firms, suggesting its effectiveness in complementing market failures. Results from the hierarchical linear model analysis show that when combined with human capital capacity, absorptive capacity, and cluster network density, governmental financial support exhibits significant positive effects on sales. This study contributes theoretical and practical insights by analyzing the relationship between governmental financial support and firm performance using a two-level hierarchical linear model. It highlights the role of corporate characteristics such as human capital and absorptive capacity, along with cluster characteristics like cluster network density, in moderating the effects of governmental financial support on firm performance.

• Journal of the Society of Disaster Information
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• v.14 no.2
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• pp.182-193
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• 2018

Purpose: The purpose of the study is to analyze the relationship between travel behavior and urban spatial characteristics in a hierarchical manner. Method: This study analyzed the relationship between traffic patterns and urban spatial characteristics for 83 cities in Korea by using a hierarchical linear model. Results: It was found that the urban spatial characteristics influenced the choice of transportation mode and travel time with personal attributes. However, the degree of influence on the choice of the means and the time required is relatively low through the policy of changing the city attribute, so the policy effect of mobilizing the land use policy for the traffic is theoretically, but the scale is not bigger than expected. Conclusion: In high density or the bigger scale of the city, the mass transportation system is widely supplied and used, but it does not overcome the drawback that it takes more time than the autos.

• Journal of the Korean Regional Science Association
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• v.35 no.4
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• pp.47-60
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• 2019

The purpose of this study is to analyze gender gaps in wage and job satisfaction according to skill characteristics and gender composition in occupation type. Most of the previous studies dealing with gender gaps in wage and job satisfaction have limitations in using a model at a single level. To overcome these limitations, this study integrated the analysis of worker level and job level variables through the application of hierarchical linear model. For the empirical analysis, the 20th year of the Korea Labor Institute Panel Survey and Korea Network for Occupations and Workers data used, factor analysis was utilized to derive cognitive, technical and physical skills. According to the empirical results, female workers in the metropolitan area showed lower average wage and job satisfaction than male worker. these gender gaps were alleviated in occupations which requiring a high level of cognitive skill, while deepening in occupation with a high occupational segregation. The purpose of this study is to derive implications for the policy aimed at reducing the gender gap in the labor market by analyzing the relationship between gender gaps in wage and job satisfaction according to skill characteristics and gender composition rates of wage workers in the metropolitan area.

• Journal of the Korean Regional Science Association
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• v.35 no.1
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• pp.59-72
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• 2019

This study focused on low fertility and population decline which threaten national competitiveness. Therefore, a comprehensive analysis was attempted on the impact of housing characteristics and residential area characteristics of newlyweds on their birth plan. To this end, the hierarchical linear model(HLM) was implemented using '2016 Korea Newlyweds' Housing Survey' data. The main findings of this study are as follows. First, the birth plan of newlyweds is affected not only by housing characteristics, but also residential area characteristics such as the average housing price, average private education expenses and the number of local child centers. Second, the use of housing loans and the housing tenure have an interaction effect with the average housing price and the number of local child centers among the residential area characteristics. In other words, the use of housing loans has a negative effect on the birth plan if the housing price is high in the area, and being renter household has a positive effect on the birth plan if the number of local child centers is high in the area. These findings suggest that governmental effort to raise the birthrate of newlyweds should take into account their housing characteristics as wells as residential area characteristics.

• Proceedings of the KAIS Fall Conference
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• 2010.05b
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• pp.807-810
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• 2010

본 연구는 스트레스가 지식창출에 미치는 영향을 보고자 한다. 즉, 개인의 목표에 대한 그리고 직무와 관련된 스트레스는 지식창출에 부정적 영향을 미친다는 연구들이 제시되고 있는데, 이때 팀의 어떠한 요소들이 이러한 부정적 영향을 감소시키고 지식창출에 기여할 수 있을지를 파악하고자 한다. 구체적으로 지식창출을 위해 자원에 비해 과도하게 설정된 목표로 인한 목표 스트레스(goal stress of resource inadequacy)와 지식창출을 위한 업무과정에서 발생하는 직무 스트레스(job stress)는 지식창출에 부정적 영향을 미칠 것이다. 그러나 지식창출을 위해 구성된 팀구성원들이 열심히 배우려고 하고 실패도 두려워하지 않는 분위기(팀 학습분위기) 속에서 강하게 결속되어 있다면(팀 응집력) 스트레스로 인한 지식창출에 대한 부정적 영향은 약화될 것으로 판단된다. 따라서 본 연구에서는 집단수준의 변수와 개인수준의 변수를 동시에 고려해야 하는 본 연구의 성격상 최근에 많이 사용되고 있는 다수준접근방법을 적용하여, HLM 6.08을 사용한 위계적 선형 모형분석을 수행하였다. 연구결과, 직무 스트레스는 지식창출에 부정적 영향을 미쳤으나 목표 스트레스는 유의한 영향을 미치지 않은 것으로 나타났다. 또한 팀의 학습분위기는 지식창출에 긍정적 영향을 미쳤으며, 목표 스트레스와 지식창출간의 관계에 조절효과를 하는 것으로 나타났다. 팀의 응집력 역시 지식창출에 긍정적 영향을 미치는 것으로 나타났다.

• Journal of Labour Economics
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• v.30 no.2
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• pp.87-118
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• 2007

Using KRIVET's Graduates Economic Activities Survey for 2005, this article examines the relationship between university ranking and labor market outcome, with a focus on wage differentials existing between provincial and Seoul metropolitan area university graduates. According to the analysis results, the average monthly wage for provincial university graduates was 1,747.7 thousand Korean won, which is 11.5% lower than that for graduates of universities in the Seoul metropolitan area. School effects on individual wage were estimated to about 12.2% after applying Hierarchical Linear Model technique, which means that university explains only an insignificant part of the total variance in wage among graduates. After controlling for the selection bias, the ability difference between the two areas, by applying the Heckman type 2SLS wage function and Neumark wage differential decomposition technique, the wage gap resulting from the segregation was not identified. This implies that, to a significant extent, the wage gap between provincial and Seoul metropolitan university graduates is attributed to the difference in productivity among individual graduates, rather than to the wage segregation. Also, the estimated wage function by applying Quantile Regression technique indicates that there does not exist any significant wage segregation difference by wage quantile.