• Journal of the Korean Data and Information Science Society
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• v.17 no.3
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• pp.851-859
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• 2006

The family income distributions of NLSY97 and CPS youth data are compared by using the generalized beta distribution of the second kind. The null hypothesis that the two data sets represent the same underlying population is rejected. The ML estimation suggests that NLSY97 data are oversampled in an income group of $11,308 or less, by about 15.7% compared to CPS data.

• The Journal of Industrial Distribution & Business
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• v.9 no.4
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• pp.27-35
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• 2018

Purpose - The purpose of this research is to verify mediation effects of finance stress within relation structure between income inequality recognized by the elderly and life satisfaction. Research design, data, and methodology - In order to achieve the purpose of this research, we investigated recognition of income inequality of the elderly, finance stress and life satisfaction by using examination data aimed at 541 elderly people whose age is over 65 living in Chungcheongbuk-do. We conducted reliability, correlation, regression analysis_(tolerance limit and variance inflation factor) by using SPSS ver. 18.0. Results - From the result of analysis, it was proved that there are mediation effects of finance stress within the relation between income inequality recognized by the elderly and satisfaction with life. Based on this result, we suggest practical and political proposals to increase life satisfaction of the elderly. Conclusions - The purpose of this research is to verify mediation effects of finance stress in the relationship between income inequality and life satisfaction recognized by the elderly. From the result of research, first, a direct effect was discovered that as income inequality becomes high, life satisfaction will be decreased. Second, partial mediation effect of finance stress was confirmed in the relationship between income inequality and life satisfaction.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.10
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• pp.571-579
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• 2020

This paper examines how human capital and other economic variables, such as private investment, economic growth, government investment, inflation, and unemployment influence inequality in Indonesia's provinces. We apply panel data model with fixed effect estimation for the data of 34 provinces from the period 2013 to 2019. We develop a new index for human capital using the education index approach. The results show that human capital has a negative and significant effect on income inequality. An increase in human capital is related to an increase in knowledge and competence due to the longer average school year and expectations of the school year. Human capital has increased the possibility of a person being accepted into the job market and earning a higher income; hence, it lowers income inequality. We also find that inflation leads to a higher gap of income distribution. A further implication of this situation is that the rise in inflation causes an increase in low-income people, and as a consequence, makes their lives worse off. This paper will be beneficial for policy-makers for whom human capital, which is measured using an education index, is an important factor that significantly affects income inequality, in addition to other economic factors.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.12
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• pp.9-17
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• 2021

Globalization is an economic process responsible for the increase of interdependence of world economies. It enhances the mobility of national resources internationally via the integration of markets, trade and investments with minimal barriers to slow the flow of products and services. Although globalization has some positive impacts on the economy, it is said to be a factor in the decline of income inequality of the participating countries. However, the results of previous studies on the relationship between globalization and income inequality are inconclusive. This suggests that there are other factors influencing the relationship between the two variables. The purpose of this study is to examine the role of intelligence (IQ) in the globalization-income inequality relationship. This study employs the threshold regression technique and cross-nation observations from 117 sample nations for the period 1980-2016. The results show that the impact of globalization on income inequality in a nation relies on its IQ level. The results imply that economic globalization has a negative impact on income inequality in nations with lower IQ levels. It widens the gap between the poor and rich. While in nations with higher IQ levels, it seems to not have any significant impact on income distribution.

• The Journal of Asian Finance, Economics and Business
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• v.6 no.1
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• pp.71-81
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• 2019

The objective of the study is to examine the impact of financial development and foreign remittances on poverty and income inequality in the context of Pakistan. The study used ARDL-Bounds testing approach for robust inferences. The results show that in the short-run, remittances increases poverty and income inequality, which further translated into its long-run impact. The result confirmed the inverted U-shaped relationship between per capita income and income inequality, while the second order coefficient of per capita income substantially decline poverty incidence in a country. In the long-run, the results disappeared and it's turned into U-shaped relationship between income inequality and country's per capita income. Education largely decreases income inequality both in the short and long-run, however, it increases poverty in the long-run. Unemployment rate substantially damaged the pro-poor growth scenario, as high unemployment rate increases both the poverty rates and income inequality, which suffered poor more than non-poor in a country. Financial development has a positive impact on poverty reduction and income inequality in the short-run. The impact of income inequality on poverty incidence is positive both in the short- and long-run, which need pro-poor growth policies and rationale income distribution in a country.

• KDI Journal of Economic Policy
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• v.29 no.3
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• pp.1-28
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• 2007

Upon analyzing several Korean Income data sets, it is confirmed that the relationship between Gini coefficient and bi-polarization measure (EGR) is empirically not different although they each come from different theoretical basis. Furthermore, it is difficult to state that the degree of polarization of income distribution, measured by DER, in Korea has deepened more than that of income inequality, estimated by Gini coefficient, in the periods of before and after the economic crisis.

• Journal of the Korea Convergence Society
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• v.12 no.1
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• pp.267-274
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• 2021

This paper examines the impact of the Basic Pension scheme in terms of poverty reduction and income distribution among elderly households by focusing on the differences in the household type. It compares the data before (2013) and after (2016, 2019) the introduction of Basic Pension by using Household Income and Expenditure Survey data. Empirical analyses indicate that, first, the overall income and the public income transfer of the elderly households increased during the period compared. Second, the poverty rate was considerably higher for the elderly living alone than for other household types. The government policy led to poverty-reduction for all types of elderly households, wherein the effect was most profound in the case of elderly living with spouse. Third, income distribution improved for all types of elderly households, though maximum margin was observed in the case of the elderly living alone. Fourth, according to the multivariate logit regression, the Basic Pension had a positive impact on reducing the risk of poverty (defined as below 40% of median income) among the elderly households.

• Health Policy and Management
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• v.24 no.1
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• pp.92-99
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• 2014

Background: Korea's primary care clinics are seeking increase in consultation fees by expanding supply within the frame of the health insurance system, but inequality of physician income between regions and individuals is exacerbating. The purpose of this study lies in analyzing the distribution of patients of primary care clinics, their specialized field, and the degree of inequality between medical fee income according to region. Data was acquired from the Health Insurance Review and Assessment Service on charged bills made by clinic-size medical institutions from 2008 to 2011. Methods: By comparing the outpatient number per clinic according to the clinic's specialized field, results showed that ophthalmology, otolaryngology, dermatology, orthopedics, and internal medicine showed high numbers whereas plastic surgery, neuropsychiatry, cardiothoracic surgery had fewer outpatients. The number of outpatients for clinic according to region showed Chuncheonnam-do, Jeju-do, Gangwon-do, Chungcheongbuk-do, Ulsan to have higher numbers of outpatients. For those four years, clinics in the Seoul area had a rather lower number. Results: As a result of comparing the decile hierarchy distribution ratio between specialized fields according to primary care clinics income from National Health Insurance, the inequality degree showed that obstetrics and gynecology and general medicine were each 0.130, 0.280 for the decile distribution ratio, which was the highest degree of inequality within the specialized field. Their Gini coefficient were also relatively high at 0.691, 0.528 respectively. On the other hand, the decile distribution ratio for otolaryngology and orthopedics were 0.510, 0.468, respectively, while their Gini coefficient each at 0.318, 0.314 makes their inequality degree relatively lower than other fields. Conclusion: This study is limited in that the data used was the health insurance charges submitted by clinics, which does not provide total information of the doctors' income. However, because most clinics are largely dependant on their income to come from health insurance reimbursements. Therefore, the results of this study can be used effectively. In the future, research that includes data on non-covered service income should be conducted to closely examine policy plans with a new medical fee policy which can resolve the medical fee income inequality issue between clinics as well as revitalize primary medical care.

• Health Policy and Management
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• v.12 no.1
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• pp.84-101
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• 2002

This study collected and analyzed the datum related to consultation fee in National Health Insurance Corporation and characteristics of dental clinics for 819 dental clinics in Daegu and Kyungpook districts to specify the distribution and concentration rate of health insurance consultation fee and the critical elements of insurance consultation fee income. The average health insurance consultation fee per one dental clinics is 77.2 million won and the case of women dentists is 78.7 million won. That is higher than 79.9 million won that the case of man dentist. According to age, under 39 is 85.5 million won that is highest, declining little by little above 60s the number decreased to merely 23.9 million won. And the dentists whose business years from 5 to 10 are the highest and declining gradually. The more of engaging members to dental clinics is the larger the income. The average insurance consultation fee of Daegu province is 69.3 million won, but that of Kyungpook is 89.6 million won. Decile distribution ratio of dental clinics consultation fee income is 0.526 and Gini coefficient is 0.303. Decile distribution ratio of Daegu district is 0.489, Gini coefficient is 0.320. This explain the larger inequality compared with Kyungpook(0.623, 0.273). With age, Gini coefficient of below 39 is 0.260, the higher age is, the larger the number is, up to abode 60 the coefficient is 0.504, the degree of inequality is most extremely. insurance consultation fee and the number of cases of consultation is related to the age of dentists, duration of practice, the number of dentists and staffs engaging and provinces. That is, the lesser the age is, the longer the years of engaging are, the more the number of dentists and staffs we, the larger insurance consultation fee income and the number of cases of consultations we. And the fee fur one case is closely related to age and provinces. The fee for one case is higher in lower age, and that of in Daegu dental clinics is higher than in Kyungpook.

• Journal of the Korean Operations Research and Management Science Society
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• v.40 no.1
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• pp.139-154
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• 2015

This paper uses the Heckman model to evaluate the income difference between the public sector and the private sector based on the CHNS data. The research finds that the difference of the public sector versus the private sector between the west area and the east area is about 10% from 1989 to 2000, the transition of the income difference is smooth, that data has made sharp increase to 32% from 2000 to 2011. Considering the income difference between the west area and the central area, the central area and the east area from 1989 to 1997, the data is about 10~15%, from 2000 to 2011 is rocketing time, the data reaches 20%. This paper is very revealing about the income difference ofthe public sector versus the private sector is increasing year after year, and the economy is developing rapidly but with imbalance among different areas in China. It would provides the reference for adjust the income distribution system in future.