• Journal of Family Resource Management and Policy Review
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• v.22 no.1
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• pp.99-118
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• 2018

This study examines household expenditure patterns for single-parent families to better understand the decision-making process and to consider the appropriateness of the decisions on monetary allocation. This study investigates the household expenditure patterns and the determinants of expenditure patterns for single-father families as compared to those for single-mother families. A series of analyses of the data, which was gathered from the 2015 Single-parent Family Survey on household expenditures, were conducted. The results show that there are differences in the household expenditure volumes and patterns between single-father families and single-mother families. Differences in the categories of expenditure and variations in the share that was allocated for each expenditure category in single-father families as compared to in single-mother families were both statistically significant. Disparities were found in seven categories of household expenditure between single-father families and single-mother families. The amount allocated from total expenditures for each expenditure category was also significantly different between single-father families and single-mother families in regards to clothing, home equipment, housing, water/light/heat costs, transportation, and telecommunication. The determinants of the total household expenditure for single-parent families were age, level of education, number of family members, public transfer, household income, assets, and debt.

• Korean Journal of Human Ecology
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• v.4 no.1
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• pp.63-74
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• 1995

Urben wage workers' education expenditure among different social classes from 1979 to 1993 has been compared. Eduction expenditure has increased much more than that of income resulting from income increase and government policy. Education expenditure gaps among social classes have showed to be an increasing trend although the ratio of education expense to the income has increased among low class families. Average income elasticity was 1.1 and this result showed that education expense was luxury good. Income elasticity of education expense among low class families have fluctuated more than any other classes resulting from construction business cycle and housing rent increase. Average Gini coefficient was 0.38 and turned out to be highest among 9 household expenditures, however it was in the trend of improvement from 81. But from 91 Gini Coefficient went up high again. Main reason for this increase was due to high social class families' eucation expenditure increase. Government's strong policies to enhance equality level of education opportunity and to support low class families are urged.

• Journal of the Korean Home Economics Association
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• v.45 no.10
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• pp.45-57
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• 2007

The causes of indebted overspending were investigated by examining household expenditure patterns using the data from the 2002 Family Expenditure Survey. The five major expenditure categories were identified by factor analysis, and the six types of indebted overspending were clustered. About 28% of the indebted overspending was done out of necessity, and food, utilities, housing, and health care accounted for about 42% of the household expenditure. Luxury spending accounted for about 25% of the overspending by indebted households who spent about 24% of the household expenditure on clothing, entertainment, and private education. Cars (22%) and education (20%) were found to be other major causes of indebted overspending. Paying off debt and durable purchases were identified as the major causes of indebted overspending, but had a low frequency. Finally, the financial status of the four major types of indebted overspending households was evaluated.

• Journal of Fisheries and Marine Sciences Education
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• v.10 no.2
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• pp.129-138
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• 1998

The purpose of this study was to find the specific property of educational expenditure, which is a monthly total income, level of educational expenditure, effect of means of living, and psychological burden of parents of students. The subjects for this research were parents of students that is two hundred twenty nine and most of them were official administrators or sellers. The monthly total incomes of them didn't get to the highest rank, and the educational expenditure was the highest for their expenditure of means of living and universally 20~30%. Therefore, the majority of parents of students who carry a charge thinks educational expenditure to be not sufficient. They thought that it was due to demand of a high class human strength in society to the most important reason of educational expenditure.

• Journal of the Korean Home Economics Association
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• v.43 no.6 s.208
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• pp.47-60
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• 2005

This study analyzed the factors that affect the use and expenditure of households for childhood education and care centers. The data were drawn from KLIPS(Korea Labor and Income Panel study), vol. 5(2002). From this dataset, 1,171 households were selected for this study. The results of this study were as follows. First, when compared to unemployed mother's households, employed mother's households tended to use childhood education and care centers. Second, with rising household income, the use of childhood education and care centers decreased. Third, the expenditure was much larger for the households with a large income than those with a small income.

• Journal of the Korean Home Economics Association
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• v.35 no.1
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• pp.277-290
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• 1997

This study analyzed household expenditure patterns using the 1990 Korean Consumer Expenditure Survey and identified the factors determining a household's probability to be in an expenditure pattern. The results of cluster analysis revealed five expenditure patterns: Education and Recreation-dominated; Necessities-dominated; Miscellaneous expenditure-dominated Housing dominated; and Transportation and Communication-dominated patterns. Based on the results of descriptive and Logit analyses household income household size age of household head and housing status were major factors to determine the type of househld expenditure pattern.

• Journal of Family Resource Management and Policy Review
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• v.13 no.2
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• pp.43-64
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• 2009

The purpose of this study is to examine the effects of education expenditure children and financial support for parents on childbirth intention and, elderly life preparation. This study uses Korean Longitudinal Survey of Women & Families data. The research subjects are married women aged between $20{\sim}45$ years old who have one child and are living with at least one parent. The analysis method includes chi-square analysis, frequency analysis, and logistic regression analysis which is suitable for presuming differences between groups and relative influence or power. As a result, the first subjective perception is that economic conditions influence childbirth intention and elderly life preparation. Second, the portion of education expenditure is a more important factor than traditional ones, such as the child's sex, the married woman's job and her income. Third, elderly life preparation is influenced by economic factors, regardless of whether they are subjective or objective factors. Finally, analyses by logistic regression analysis suggest that a decision about childbirth is influenced by education expenditure. This refer to the costs related to the child's generation. A decision about elderly life preparation is related to financial support from parents, meaning costs related to the parents's generation.

• Journal of Family Resource Management and Policy Review
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• v.11 no.1
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• pp.65-81
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• 2007

The purpose of this study is to analyze income and consumption expenditure patterns over the family life cycle. The data used in this study is the 2004 Survey data from the Annual Report on the Family Income and Expenditure Survey data which are included salary and wage earners' households living in urban areas. The income and expenditure data of 20,383 households are analyzed. The family life cycle is classified into six stages and the items of expenditure are classified into 12 categories. The data are analyzed by descriptive statistics, $X^2$ test, F-test, and Duncan's multiple range test using SAS 8.0 package program. The major findings of this study are as fellows: First, the average monthly family income of the total sample is 3,480,000 won. The proportion of regular and irregular income among the total family income is 95.5% and 4.5% respectively. Second, the amount and ratio of monthly regular income fur each category are significantly different over the family life cycle. Third, the average monthly family expenditure of the total sample is 2,250,000 won. The amount and ratio of monthly expenditure of all items are significantly different over the family life cycle. The highest expenditure item is the traffic expanse and phone charge.

• Journal of Families and Better Life
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• v.25 no.1 s.85
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• pp.1-13
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• 2007

The determinansts of expenditure spent on medical care and the ratio of medical care spending to consumption expenditure were investigated using the 2002 House Income and Expenditure Survey by the Korea National Statistical Office, which consisted of a sample of 918 elderly households. There were significant differences in expenditure on medical care and the ratio of medical care spending to consumption expenditure between elderly and nonelderly households. Age, education, overspending were significant factors that determine the expenditure on medical care and the ratio of medical care spending to consumption expenditure. Overspending is the most important factor related to expenditure on medical care and the ratio of medical care spending to consumption expenditure.

• Fashion, Industry and Education
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• v.14 no.2
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• pp.47-59
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• 2016

This research is concerned with comparing fluctuation in the Korean and the US economies in order to ascertain the degree to which the former is influenced by changes in the latter. The aim of this research is to explore business cycles, to examine consumer expenditure in Korea and the US, and to discover the relationships between business fluctuation indexes and overall expenditure. Statistical data from the national statistics of Korea and the US during period from 1990 to 2015 were used. The instrument included a measure of GDP, unemployment rates, GDP deflator rate (inflation rates), and household income and expenditure. For the average annual household expenditures, food, apparel and transportation expenditure data were compared across the two countries. Data were collected separately from different (though comparable) sources and were analyzed using relatively straight forward statistical techniques. It was found that Korean and the US consumers' income and expenditure were greatly affected by economic fluctuations. Total expenditure and the expenditures for food and transportation were much influenced by business fluctuation in the US, whereas, the expenditures for apparel were much influenced by business fluctuation in Korea.