This study examines changes in income inequality and income mobility associated with a transition to old age. In understanding the dynamics of income distribution over the later life course, it is important to explore the changes in income dispersion and the changes in relative income positions jointly. Data come from Korean Labor and Income Panel Study(KLIPS) 2nd, 7th, 12th wave. The results are as follows. First, a transition to old age is associated with an increase in income inequality. The Gini index of inequality increased steadily over the life course. Second, a transition to old age is associated with substantial income mobility. The Spearman's rank correlation coefficient between two periods was the lowest at the time of the transition. Increasing income dispersion and significant income mobility can be conceptualized as "income insecurity", since the older population are less likely to cope with income fluctuations. Third, in explaining such changes over time, changes in work life during old age and a subsequent decrease in earnings seem to be the most influential factor.
This study conducted to examine about the income inequality and bi-polarization for forestry household. For this purpose, Gini coefficient and Atkinson index were used to analyze the income inequality for forestry household. Also, DER index were employed to show their income bi-polarization. Before using these methodologies, forestry household income was divided into three parts that was forestry income, non forestry business income and transfer income. And then, income inequality and bi-polarization were analyzed respectively. The result shows that forestry household income inequality was higher than whole household inequality. Apart from transfer income, forestry household income, forestry income and non forestry business income inequality was aggravated. At the same time, these tendency was able to observe the bi-polarization for forestry household income and other income sources.
The purpose of this study is to identify which is the better indicator to forcast housing tenureship between permanent income and current income, and study the effects of non-human capital asset on housing tenureship. To forcast permanent income, a statistic regression equation is used with current income as the dependent variable. Multi-nomial logistic model is used to forcast the housing tenureship Using current income as the dependent variable delivered a more accurate result than using permanent income. Current income is used as a dependent variable and sex, age, education and occupation are used as independent variables to forcast permanent income. Non-human capital asset is also used as an independent variable. Also, excluding non-human capital asset variable when forcasting bothe permanent income and housing tenureship proved to be more accurate. Because permanent income, the sum of future income and current asset, is a good indicator of current consumption including housing, the result with permanent income should be more accurate than the forcast using current income. This implies an underdevelopment of a housing mortgage system that enables people to consume now on the basis of their future income. The Korea's unique Chonsei housing rental system has also made it difficult to forcast housing tenureship based on people's permanent income and asset. While, the Key-money of Chonsei housing and the housing asset of homeowners with debt are very similar in their amount, the result is completely different. One is a renter and the other is a homeowner.
The purpose of this study was to identify the impact of various income sources on income inequality of forestry households. Data from the Forestry Household Economy Survey from 2013-2016 were analyzed using the Gini coefficient decomposition method via income source. In particular, the income inequality analysis of forestry households was broken down into separate analyses based on group, i.e., the whole of forestry households and the five income quintile classes. The results of the analyses showed that income inequality of forestry households is primarily affected by forestry and nonforestry incomes and income quintile class. Moreover, income inequality of the highest income quintile class was largely affected by forestry income compared with other sources of income, whereas that of other income quintile classes was largely affected by nonforestry income. Therefore, in order to reduce income inequality in forestry households, it is necessary to increase the proportion of forestry income in the lower four quintile classes. Given that the income of the lowest quintile class is negative, it is necessary to devise ways to improve the proportion and quantity of forestry income. At the same time, as forestry income increases, a policy alternative is also required to improve inequality in forestry income.
The purpose of this study was to investigate the relationship between parents' conflict and child-rearing and school-aged children's depression in low income family and non-low income family. The subjects were 357 school-aged children who attended elementary school and who were 5th 176(49.3%) and 6th grade 181(50.7%)(boys were 206(57.7%), girls 151(42.3%)). The data were analyzed by t-test, Pearson's correlation, simple regression, enter regression(using SPSS 12.1). Major findings were as follows: (1) Parents' conflict was significantly associated with children's depression in low income and non-low income family. (2) Parents' conflict was significantly associated with parents' child-rearing in low income and non-low income family. (3) Parents' conflict partially exerted indirect effect on children's depression, controlled by parents' child-rearing in low income and non-low income family. The effect of parents' child-rearing as mediation was higher in low-income family than in non-low income family.
Although the relationship between income and income inequality has previously been discussed, the present study applies a dynamic approach to analyze the specific relationship between forest household income and income inequality. For this analysis, a unit root test and a cointegration test were conducted to characterize the nature of income time-series data. After converting unstable time-series data into stable time-series data, a VAR model was estimated. Based on this model, an impulse-response was generated and variance-decomposition analysis was performed. These analyses showed that the effect of forest household income was relatively larger than that of the Gini coefficient, and that the impact of forest household income not only caused income to increase but also caused the Gini coefficient to decrease. In addition, the impact of the Gini coefficient had an impact on reducing forest household income and further increasing income inequality. We conclude that, with the aim of alleviating the inequality of forest household income, an income growth policy would be more effective than an income distribution policy.
It has been many changes in traditional Korean food habits according to the improvement of household income levels and the rise of standard of living. Therefore, the pattern of consumption in animal origin processed/convenient foods would have changed. This research aims to find the tendency of consumption in some animal origin processed/convenient foods compared with typical Korean traditional foods according to household income levels. Therefore, this survey was made on 698 children from 10 elementary schools located in Seoul. They were divided into 6 groups according to their household income levels. The data were analysed using Chi-square test and F-test in SPSS package program. From this research, the following results were obtained: 1. Their average monthly household income levels were between 500, 000~1, 500, 000 won(64.2%) and their family were of mostly 4~5 members. There were no significant differences in children's physical status among various income groups. As the household. income level increases, the food expenditure per month increases and Engel's coefficient decreases. 2. The animal origin processed/convenient foods that have no significant differences are ham, sausage, milk, yogurt, canned fish, and fish meal. The high-income groups preferred bacon, cheese, pork cutlet, and fried chicken, compared to those of low-income groups. The low-income groups preferred crab-flavored meal, compared to those of high-income groups. 3. In some Korean traditional foods, there were significant differences according to income levels. Those were Bulgogi, baked fish, fried meat, cooked fish and meat with soy-bean sauce. Fried fish and anchovy have no significant differences in food intake frequency according to household income levels. Chicken and egg saute are liked by children in every income groups. 4. Between the animal origin processed/convenient foods and the typical Korean nonprocessed traditional foods, children preferred the former regardless of income levels. In conclusion, animal origin processed/convenient food consumption patterns were not affected by household income levels.
The prensent study was aimed to explore the reality of the low-income consumers problem by the comparison among five income classes. Specifically, this study was intended to (1) compare the levels of consumer skill, market risk, and consumer problem among the five income classes, (2) examine the relationship between consumer problem and consumer skill, and the relationship between consumer problem and market risk, and (3) search the types of consumer problems that each income class consumers might experience the most often. For this purpose, a survey was conducted using questionaire on 525 home managers in Seoul. The deta were analyzed by ANOVA and DMR test. The major findings were as follows; First, the consumer skill was the poorest in the low-income consumers. There was curvilinear relationship between consumer skill and income level. Second, the market risk was the highest in the low-income consumers. Market risk had a negative linear relationship with income level. Third, consumer problem was the most serious in the low-income consumers and was the least serious in the middle-income consumers. Fourth, the lower consumer skill and the higher market risk the consumers had, the more consumer problems they tended to experience. Finally, the low-income consumers had relatively more difficulties in door-to-door sale and inferior goods problem than the middle and the high-income consumers. On the other hand, the latter experienced relatively more difficulties in false and misleading advertising, overcharge, unfair bargain, and warrenty-repair-exchange problem than the former. Taken together, the research hypotheses were well supported in this study. It was suggested that the quality and the quantity of the low-income consumers problem were different from those of the middle-and the high-income consumers problem.
This study was to compare the income and financial assets of the Salary Earner and those of Self-Employed households. The data was drawn from the Korean Household Panel Study(KHPS) that was surveyed by Daewoo in 1995. The major findings were as follows: 1. All households were holding salary/business income, and the average of salary/business income of Salary earner household and Self-employed household were found to be 1,580,000 won and 2.050,000 won respectively. 2. Households were holding saving accounts most in both groups. 3. The yearly financial income, yearly immovable property income, and the yearly annuity income were correlated with yearly subsidiary income. The yearly financial income were correlated with the yearly annuity and yield from bonds. There were negative relationships between the yearly annuity and yield from bonds. The yearly miscellaneous income was correlated with the yearly yield from stock. There were negative relationships between the yield from stock and bonds in Salary-Earner households. 4. The yearly subsidiary income and yield from bonds were correlated with monthly business income. The yearly annuity and yearly total amounts of saving accounts were correlated with yearly subsidy income. The immovable property, the yearly yield from stock and bonds were correlated with the yearly financial income. The yearly yield from stock and bonds were correlated with the immovable property and the yearly annuity income. The yearly misellaneous and total amounts of saving accounts were correlated with the yearly yield from stock and bonds. The Yearly yield from stock was correlated with yield from bonds in Self-Employed households. (Koran J of Human Ecology 2(l) : 1-11, 1999)
There are so much oil and gas reserves in Iran. Therefore extraction from these reserves and sell extracted oil and gas in international markets causes to high oil income for Iran. Especially in some years which oil price increases, our oil income was too high. In this paper, we want to reveal that, high oil income is not cause to rise of nonoil export. For this aim, we use from data of 1971-2013 and with Johansen co-integration test and Error Correction Model (ECM) extract short run and long run relations. Results of estimation reveal that in Iran high oil income is not cause to many non oil exports in long run and short run. Therefore, we should allocate oil income to import industrial machines and reallocate them to agriculture and industrial sectors which causes to raise national production which will cause to high non oil export. Then, in this condition, our needy exchanges are provided from non oil export and our dependence to oil income will be declined.
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