• KDI Journal of Economic Policy
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• v.26 no.1
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• pp.141-190
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• 2004

Income inequality in Korea has increased after the economic crisis, and the main reason for the widening of income distribution is due to the increase of the unemployed when analyzed using the Urban Household Report(UHR). However, income inequality has not decreased although the rate of unemployment decreased after 2000. Further data bases for income-related statistics are necessary to examine the exact causes of changing income inequality as a whole since the UHR covers only statistics on urban employees' wage and salary in Korea.

• Journal of Family Resource Management and Policy Review
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• v.18 no.3
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• pp.79-101
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• 2014

The main objective of this study is to explain the differences in intergenerational resource transfers among the middle-aged at various income levels. Analyses of data on financial resource transfers from the 2nd wave of the Korean Retirement and Income Study were conducted. The study sample consisted of 931 middle-aged individuals who had at least one living parent and one child. The data analysis methods were ${\chi}^2$ analysis, one-way analysis of variance(ANOVA), logistic regression analysis, and multiple regression analysis. Financial resource transfers are statistically significant factors explaining the preparation for later life and life satisfaction of middle-aged individuals. The empirical results reveal that the frequency of intergenerational financial transfers was significantly higher in high-income households than in middle- and low- income households. A comparison of high-, middle- and low-income households shows that financial resource transfers had a greater influence on the preparation for later life and life satisfaction of the middle-aged in middle-income households than in low- or high-income households. The level of life satisfaction was dependent upon to whom middle-aged individuals gave financial resources. In the middle-income group, the middle-aged who gave financial resources to their parents were more likely to have higher life satisfaction than those who did not. Receiving financial transfers from parents or children did not have a statistically significant impact on the life satisfaction of the middle-aged in any income-level group.

• Korean Journal of Social Welfare
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• v.59 no.1
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• pp.199-221
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• 2007

This study examines the conditions and causes of income inequality and seeks assignments for mitigating income inequality. An analysis of the conditions and causes of income inequality is summarized as follows. First, income inequality, which rapidly increased after the economic crisis, increased and reduced repeatedly during 1999-2004, and remained a level in 2005 as high as that of the year directly after the economic crisis. Second, an analysis of the causes of income inequality by utilizing the long-term data(1985-2004) shows that unemployment rate, nonstandard employment rate, and the rising rate of land prices positively affect income inequality. Third, an analysis of the causes of income inequality by utilizing the data before and after the economic crisis(1995-2004) demonstrates that unemployment rate, nonstandard employment rate, and the workers' income ratio between large enterprises and small enterprises positively affect income inequality. Fourth, the rising rate of land prices which significantly affects income inequality in the data of 1985-2004 does not affect income equality in the data of 1995-2004, and the workers' income ratio between large enterprises and small enterprises which does not affect income inequality in the data of 1985-2004 significantly affect income equality in the data of 1995-2004. These results suggest several implications for mitigating income inequality. First, alternative plans to reduce unemployment rate must be prepared. Second, policies to reduce nonstandard employment rate should be established. Third, programs to stabilize or lower the land prices must be deliberated. Fourth, a master-plan to support small to medium enterprises must be carried out in order to reduce the wage differentials between large enterprises and small to medium enterprises.

• Human Ecology Research
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• v.51 no.6
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• pp.613-622
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• 2013

The purpose of this study was to investigate infants' development, parenting characteristics, and the infants' daily routines by monthly family income, and examine variables related to infants' development. The 2010 data of the panel study on Koreans were used. The sample for this analysis was 1,802 children aged 21-23 months and their parents. The data were analyzed with ANOVA, Pearson's correlation analysis, and multiple regression analysis with SPSS version 18.0. The results were as follows: First, the development of infants differed by the family income. Infants' communication and problem solving skills in families with an income at the 25th percentile or below was lower than those above the 25th percentile. Second, parenting characteristics differed by family income. In the lower income group, the mother's parenting stress was highest, but the father's parenting time on weekends was lowest. Third, the most frequent activity of infants differed by family income. Playing with friends or caregivers was lowest, but watching TV and videos was highest in the lower income family group. Fourth, there was a relation among infants' development (communication and fine motor skills) and parenting characteristics (mother's parenting style, stress, and father's parenting time on weekends), and the infants' daily routines (playing with friends or caregivers). Fine motor development was affected by playing with a caregiver.

• Journal of the Korean Regional Science Association
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• v.9 no.2
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• pp.27-40
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• 1993

Most studies on regional economic impact have utilized employment or employment income data. Recently, a few scholars have noticed the importance of nonemployment income sources in urban economies. Using decennial census data on Arizona towns from 1970 to 1990, this paper first examines the increasing importance of nonempolyment income sources in urban economies and the associations of nonemployment income sources with elderly population and metropolitan location. Then, this paper investigates the impact of nonemployment income on urban growth in the framework of economic base model. The regression results show that the impact of nonemployment income is significant in the increase of nonbasic income and becomes greater over time, and that the impact of transfer over time, and that the impact of transfer income on nonbasic income of transfer income on nonbasic income is stronger in smaller towns and the impact of investment income is stronger in larger towns.

• Korean Journal of Social Welfare
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• v.48
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• pp.113-149
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• 2002

The primary purpose of this study is to analyze the decreasing effect of public and private income transfers on poverty rate. Two year data of Korean Labor and Income Panel Study (KLIPS, 1998, 1999) are used for the analysis, and 1/2 of median income and 1/3 of mean income are adopted to measure poverty rate. Although private income transfer contributes more to reduce the rate than the public transfer, the main effect for decreasing poverty rate is forced by the wage. Statistically significant variables that affect to the exit of poverty based on the logistic regression analysis are number of family members(-), wage(+), property income(+), social insurance benefit(+), and the transfer income(+). Therefore, the future policy should be more related with the active labor market policy for developing better human resources among the poor family.

• Asia-Pacific Journal of Business
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• v.8 no.2
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• pp.15-30
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• 2017

This study analyzes the relationship between income inequality and economic growth. Gini coefficient (market income), the deciles income inequality index and per capita real GDP were analyzed. Furthermore, various cointegration tests were tried to improve the reliability of the test results. From the weak exogeniety test of between per capita real GDP and the Gini coefficient (market income), per capita real GDP has a weak exogeneity while the Gini coefficient is endogenous. From the various cointegration tests, we found out that there is a cointegration between Gini coefficient and per capita real GDP. Moreover, it is estimated that per capita real GDP has a positive effect on the Gini coefficient (market income). In the VAR Granger causal analysis, per capita real GDP affects the Gini coefficient (market income), but it is difficult to say that the Gini coefficient (market income) always has an effect on per capita real GDP. Also, the impulse-response function of the VAR model shows that per capita real GDP temporarily reduces the Gini coefficient (market income), and then increases it over time. Accordingly, it is necessary for the policies to improve not only the distribution structure but also income distribution through economic growth.

• Journal of Distribution Science
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• v.17 no.1
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• pp.21-31
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• 2019

Purpose - As the market economy deepens, the issue of social equity caused by income distribution becomes more and more significant. Therefore, this paper attempts to exploit the determinants of income distribution in terms of macroeconomics. Research design, data, and methodology - The data set from 1990 to 2017 will be used to conduct an empirical analysis under a menu of econometric approaches such as vector autoregressive model and impulse response function. The income distribution and other macroeconomic variables such as foreign direct investment and employment will be used to conduct an empirical analysis to explore the determinants of income distribution in terms of macroeconomics. Results - The findings indicate that the income distribution is related with macroeconomics. More specifically, the export, import, GDP and foreign direct investment play a role in deteriorating the income distribution. Conversely, the industrialization, inflation and employment can improve the income distribution. Unfortunately, the inflation and employment do not get through under 5% significant test. Conclusions - Due to that a good income distribution can be beneficial for both a country and an individual, this paper provides a new scope for China's government to improve its income distribution in terms of macroeconomics.

• Journal of Families and Better Life
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• v.33 no.5
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• pp.1-24
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• 2015

The purpose of this study was to investigate the effects of Engel coefficient, Angel coefficient and Schwabe index influencing Household head's life satisfaction. For this study, the data from the 8th analysis of the 2013 Korea Welfare Panel Survey conducted by Korea Institute for Health and Social Affairs were used. For the sample, 903 male Household heads with children under the age of 18, were selected. For statistical analysis, SPSS program (Ver. 21.0) was used. And for statistical methods, frequency and percentile, mean and standard deviation, Pearson's correlation, one way analysis of variance, Duncan's multiple range tests, multiple regression analysis were used. The findings are as follows. First, as a results of analyzing the food costs, education costs and housing costs depending on Income Quintile, the food costs and education costs in the 5th Income Quintile compared with other Income Quintile, were highest. Also, the highest housing cost was in the 2nd Income Quintile, while the least housing cost was in the 1st Income Quintile. Second, by analyzing the differences of Engel coefficient, Angel coefficient and Schwabe index according to Income Quintile, the results show that Engel coefficient and Schwabe index decreases as Income Quintile increases, and Angel coefficient increases as Income Quintile becomes higher. Third, the level of HH's life satisfaction according to Income Quintile, 1st Income Quintile, 2nd Income Quintile, 4th Income Quintile, 3rd Income Quintile, 5th Income Quintile in order, increased. Fourth, as the result of analyzing the influence of Variables related to household and demographics about Engel coefficient, Angel coefficient and Schwabe index, it was shown that the variables effecting Engel coefficient, Angel coefficient, and Schwabe index are age, occupations, Number of workers, House ownership, Income Quintile. Fifth, As a result of analyzing the Variables effecting life satisfaction, especially while Schwabe index is not that significant, Engel coefficient and Angel coefficient are shown to have a significant influence. Therefore, the influence of Food costs and education costs can be confirmed.

• Journal of Labour Economics
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• v.28 no.1
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• pp.135-156
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• 2005

This paper analyzes the distribution and determinants of income of the self-employed, in comparison with salaried workers. Relative to salaried workers, in general, the self-employed tend to have a larger dispersion of income and larger heterogeneity. In this regard, the quantile regression analysis was used, along with a typical OLS regression analysis. According to the empirical findings, the income of the self-employed is larger than that of salaried workers, and this difference is larger for higher income group. The marginal effect of education is larger for higher income groups for both the self-employed and salaried workers, implying the return on education is larger for higher income groups. In contrast, for self-employed women, the marginal effect of education is smaller for higher income groups. Put differently, the return on education in the labor market is larger for salaried workers and self-employed men of high income groups as compared to those of low income groups, whereas the opposite holds for self-employed women.