• Korean Journal of Social Welfare
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• v.66 no.2
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• pp.159-177
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• 2014

This study examines gender differentials in depression among Korean older adults. Using logistic regression and decomposition methods, this study analyzes factors that predict depression of a full sample and separate male/female samples, respectively. Further, this study decomposes factors that affect gender differentials in depression into two components: the distributions of individual variables and the returns to risk. This study finds the variables that separately predict depression by gender. For male, having a smaller social network is associated with depression; however for female, the number of falls is associated with depression. This study also finds that being married, having greater satisfaction with current financial situation, and having good physical health increases the gap between males' and females'depression. Married male have greater returns from marriage than females. If females had the same returns as male, then the gap would have decreased by about 40%.

• Journal of Labour Economics
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• v.34 no.2
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• pp.53-77
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• 2011

The last decade has witnessed a surge of research interest in differences between regular and irregular workers in employment forms. Recent studies on estimating wage differentials between the two types of workers in employment forms have typically used the linear regression analysis. Our study utilizes a new methodology to estimate wage differentials between the two types of workers: data matching. Our method can perform better than the ordinary regression analysis because it carefully addresses the selection bias problem. Our results indicate that there is no significant difference in wage between regular and irregular workers.

• Journal of the Society of Disaster Information
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• v.15 no.1
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• pp.143-152
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• 2019

Purpose : To analyze how the Fourth Industrial Revolution affects the gender gap. Method : This study regressed the relationship between ICT development index, network Readiness index and gender gap in 145 countries all over the world. Results : The ICT development index was not statistically significant, but the network readiness index was positively correlated with female labor participation rate and gender wage equality ratio, indicating that the progress of the $4^{th}$ industrial revolution increased female participation in labor but the wage gap has been shown to intensify. Conclusion : The results verify the hypothesis that the $4^{th}$ industrial revolution led by the information and communication revolution affects the labor market conditions of women.

• The Journal of the Korea Contents Association
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• v.15 no.11
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• pp.347-358
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• 2015

The purpose of this study is to verify if metropolitan area and non-metropolitan area have an influence on health of the elderly and estimate and compare the difference between the two areas. To achieve this purpose, the study was conducted on 4,714 elderly people aged 65 or more among source materials of "The 3rd Korean Longitudinal Study of Ageing in 2010" using OLS regression analysis and Oaxaca's decomposition method. Major results of the study are as follows. First, the elderly living in metropolitan area were found to have better health than the ones in non-metropolitan area(${\beta}=-.044$, p<.01). Second, in the result of looking into 'area' effect alone, which was decomposed to investigate actual effect of the difference between metropolitan area and non-metropolitan area, the elderly living in non-metropolitan area were found to have lower health status than the ones living in metropolitan area, confirming that the health gap among the elderly also originates from the characteristics of residential area(non metropolitan area-metropolitan area: 223.92, 109.50%; metropolitan area-non metropolitan area: -267.18, 130.66%). Through the results of the study, practical and policy implications and future study direction were suggested.

• Journal of Korea Technology Innovation Society
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• v.15 no.2
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• pp.323-344
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• 2012

We investigate and analyze the effect of population density on digital divide in Africa by applying the panel data analysis therein. From the estimation results based on the panel data analysis, it has been found that population density as well as both levels of income and education has a significant effect on the digital divide in African region. In particular, the fact that the variable of population density makes a significantly influential role implies that the construction cost of information infrastructure in Africa behaves such a considerable obstacle to Africa wishing to enter into information society. In conclusion, throughout the integration of the estimation results in the paper, the following implications for economic cooperation with Africa can be drawn. The estimation results mentioned above strongly imply that the variable referred to as population density should be considered in selecting which countries to assist for construction of information infrastructure.

• Informatization Policy
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• v.27 no.1
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• pp.36-54
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• 2020

This study empirically analyzes the impact of digital divide between digital device usage motivation and operational skills on online political participation. The analysis was performed using the National Information Society Agency's 2018 digital divide survey data from September to December 2018 and applying the Heckman selection model to control the sample selection bias that may occur between internet users and non-users. The result shows the gap in motivation and device operational skills of individual citizens using digital devices has significant impact on online political participation. In socio-economic terms, it shows the age, education level and regional factors also have significant impact on online political participation, while gender and income levels do not. This study holds significance in that there are different patterns of digital divide between digital devices, identifying the motivation to use a digital device as an important factor for mobile device users, and the device operational skills, for personal computer users.

• Journal of Digital Convergence
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• v.18 no.9
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• pp.9-15
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• 2020

This study is to analyze the influence of the digital divide on the digital daily life of the elderly. Adaptation tendencies for digital divide were measured and classified into groups for elderly people over 60 years old. And digital communication skills, digital confidence, digital self-control, and digital life satisfaction were measured. The research model used a cross over design model and a dual mediation model. As a result of the study, first, it was found that a group with high adaptive accessibility to the digital divide had a positive effect on the overall digital daily life. Second, a group with high adaptive literacy to the digital divide had a positive effect on the digital self-control. Third, digital communication skill has a positive effect on digital life satisfaction, and digital confidence and digital self-control play a mediating role. Based on these findings, we discussed strategies to overcome the digital divide in old age.

• Journal of Digital Convergence
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• v.17 no.8
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• pp.337-346
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• 2019

This study aimed to assess trends in the prevalence, treatment, and control of diabetes according to the socio-economic level in Korean adults aged ${\geq}30$ years, using the 2007-2017 Korea National Health and Nutrition Examination Survey data. Socio-economic status was assessed based on the household income. Multivariable logistic regression and predictive margins were used to evaluate the adjusted proportion of diabetes prevalence, awareness, treatment, and adequate glycemic control. During 2007-2017, the socio-economic inequalities on diabetes prevalence were observed in both men and women. However, the gradient of inequality increased only in men (p for interaction=0.034). Diabetes awareness, treatment, and control did not show socio-economic inequalities or increasing gradients in both sexes. Monitoring of these trends should be continued, and further research on effective interventions is needed.

• Knowledge Management Research
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• v.23 no.4
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• pp.1-19
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• 2022

As the untact culture spreads, the digital divide, which is a problem of access to digital information for the vulnerable, can appear as information inequality in various fields, including the social and cultural field. This study identified the digital divide level for the vulnerable population and analyzed the effects of information accessibility, demographic and social characteristics, and physical and mental health characteristics on the information level. As a result, the higher the accessibility of information, the smaller the digital divide and the greater the digital utilization, so it is necessary to increase the accessibility of information devices and increase the ability to utilize them. In addition, the higher the age, the more women than men, and the lower the income level, the greater the digital divide, so it is necessary to increase digital capabilities through detailed class-specific programs for the vulnerable. Finally, it was found that the digital divide and the level of digital literacy had a significant effect on the life satisfaction and daily life satisfaction of the vulnerable. The expansion of competency-building education programs to enhance information utilization capabilities by changing the paradigm to a digital inclusion policy should be continuously operated.

• Journal of the Korean Regional Science Association
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• v.33 no.2
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• pp.3-23
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• 2017

This study aims to understand how human capital is related to the inter-regional wage gap between the capital region and the non-capital region in Korea. We focus more specifically on whether the inter-regional wage gap is due to high levels of human capital in the capital region or due to high returns to human capital in the capital region. The decomposition method based on the unconditional quantile regression was used to examine how the relationship between human capital and the inter-regional wage gap varies along the wage distribution. When first estimating earnings functions from the two regions to apply this decomposition method, we included not only conventional indicators of human capital, such as education and on-the-job training, but also occupational skills including cognitive-interactive skills, technical skills, and physical skills. As a result, other things being equal, a large part of the inter-regional wage gap was explained by the human capital variables. Although the composition effect of the human capital variables existed in all the wage quantiles, the more important factor was the wage structure effect of the human capital variables. In addition, among the various human capital variables, the wage structure effect of years of education was a key factor in explaining the inter-regional wage gap. This study is meaningful in that it shows that the relationship between human capital and the inter-regional wage gap may vary depending on the wage quantiles.