• Journal of the Korean housing association
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• v.12 no.4
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• pp.53-62
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• 2001

The purpose of this study was to compare the housing expenditure patterns of elderly and non-elderly households. The raw data from the National Survey of Family Income and Expenditure 1996were used for this study. The final sample was 12,007 households. Generally, elderly households tended to spend less on housing expenditure than non-elderly ones. Also the effects of the household characteristics on housing expenditure were significantly different between elderly and non-elderly house holds. the household characteristics significantly effected on housing expenditure of both two house holds were household income, household size, and location of the residence. Occupation, duction, and sex of the head were household characteristics which had more influences on housing expenditure of elderly households.

• Journal of Families and Better Life
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• v.14 no.3
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• pp.109-120
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• 1996

While theories of portfolio selection have been developed very little is known about how individuals actually go about constructing their asset potfolios. This study investigates empirically the characteristics of household's assets and which factor associated with risky and safe asset amount. Data used in this study consisted of 2,164 households and the statistics employed to analyze the data are univariate procedure Logit analysis and OLS. The results of this study were as follows: Among 2,164 households 505 housholds(23.3%) had risky assets. Average risky asset amount is 8,351,500 won and average safe asset amount is 7,086,900 won. Region education and occupation of household head home ownership transfer and other income and total expenditure had significant effects on either and other income and total expenditure had significant effects on either household having risky asset or safe asset. Financial income transfer and other income and total expenditure had significantly p sitive relation with the risky asset amount. Whereas age and the occupation of household head the sense of economic wellbeing earned financial tranfer and other income and total expenditure had significantly positive relation with safe asset amount.

• Journal of the Korean housing association
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• v.5 no.2
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• pp.51-63
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• 1994

The purpose of this study are to examine the types and sources of information used for housing choices and to figure out the related factors. Data are collected through self-administered questionnaires designed for this study, and the sample consists of 396 households in Pusan and Ulsan. The purposes are accomplished through descriptive statistics and multiple regression analyses. Based on the results of analysis, housing information are divided into four specific types : economic. technical, housing unit, and neighborhood information. It is found that housing unit information including housing quality and economic information such as housing prices are identified as the most important ones for current and future housing choices. The most useful sources of housing information utilized for current housing are friends, relatives and neighbors. In addition, model house, real estate office, newspaper and adverizement are the another useful sources for housing information. Among them, the model house is the most helpful one for variety of housing information. Young households and those with a head whose occupation is professional/managerial tend to have higher recognition of the importance of housing information than do the other groups. The households currently living in small apartment and with a young eldest child are likely to have higher recognition of the importance of econimic information. Tenure type, the occupation of the household head, the age of the eldest child, and length of residence are the significant explanatory variables of the recognition of the importance of housing unit information.

• Journal of the Korean Home Economics Association
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• v.34 no.2
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• pp.201-215
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• 1996

The purpose of the study was to examine the effects of household characteristics to family savings. Family savings were defined in four ways such as monthly savings, average propensity to save, financial assets, and net financial assets. The household characteristics dealt with were family income, household size, number of earners, age, occupation, education, housing tenure, and urbanization. The data used in the study was Survey of Family Finance 1990. The main statistical method was multiple regression. Family income was found to the most important variable to determine four family saving variables holding other characteristics constant. Also, household size had significant negative effects on family savings. Two-earner households were found to have higher average propensity to save and less financial assets compared to single-earner households. Fro monthly savings and average propensity to save, the households with forties andfifties household head tended to be less than others, while financial assets tended to increase with the age of household head. Compared to salary earner households, blue-colored households had significantly lower average propensity to save, and the households with professionals had significantly higher financial assets. The college-graduated households tended to have less monthly savings than the elementary-graduated households. Also, the housing renters were found to have more monthly savings and higher average propensity to save, compared to the housing owners.

• Journal of Families and Better Life
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• v.23 no.2 s.74
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• pp.137-148
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• 2005

This study compared one-child households' economic structures between those who determined not to have more children and those who have a birth plan. This study examined the demographic characteristics and economic variables such as income, consumption expenditures, assets. debt, and a subjective evaluation of future economic status. Especially, it compared the effects of socioeconomic variables on expenditures on a child between low-fertility and birth-planned households. From a questionnaire completed by a husband or wife of one-child households, 154 low-fertility households and 201 birth-planned households were obtained. A t-test, chi-square test, multiple regression analysis and a dummy variable interaction technique were used. The findings of this study are as follows: First, low-fertility households were older, had higher income, and had more educated, employed wives. Their marital duration was longer, and their child was older than those of birth-planned households. Second, low-fertility households had higher consumption expenditures than did birth-planned households. Especially, expenditures of apparel and shoes, health care, education, and entertainment were significantly higher for low-fertility households. Also, low-fertility households spent more than did birth-planned households on a child. However, low-fertility households had significantly more debt than did their counterparts, and their expectation level of future economic status were lower than that of birth-planned households. Third, the effects of socioeconomic variables on expenditures on a child were different between low-fertility and birth-planned households. Age, education level, husband's occupation, wife's employment status, income, net asset, and subjective evaluation of future economic status showed significant differences. Income elasticity of expenditure on a child was significantly higher for low-fertility households than their counterparts.

• Journal of Families and Better Life
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• v.20 no.5
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• pp.87-98
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• 2002

The purpose of this study is to investigate the effects of wife's employment status on the household expenditures of timesaving market substitutes for houseworks. Seven expenditure categories were considered such as food away from home, convenient/prepared food, housing care service, clothing care service, childcare, supplemental education, and domestic services. The data were taken from 1999 Family Expenditure Survey by National Statistical Office. The sample consisted of 29,963 households with 33.2% dual-income households. The average monthly expenditure for food away from home was 127,795 won for dual-income households, while 103.100 won for single-income households. The expenditure for childcare of dual-income households was over six times of single-income households'. Dual-income households spent over ten times of single-income households for domestic services. For most expenditure categories, households with wife working at white-color jobs spent more than other dual-income households. After being other household characteristics to be constant, wife's occupation had found to be related with the household expenditures for most market substitutes. For the expenditures on both food away from home and childcare, employed-wife households with any kind of jobs were found to have higher possibility to spend and to be spent more than non-employed-wife households. The households with wife employed at white-color jobs spent more on clothing care service and domestic services than the households with the not working. Employed-wife households had higher possibility to spend on supplemental education, but they did not spend more on the expenditure, compared to nonemployed-wife households.

• Journal of the Korean Home Economics Association
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• v.41 no.5
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• pp.1-13
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• 2003

This study examined the determinants of urban households' expenditures on alcoholic beverages, using double-hurdle models to distinguish between the decision to purchase (purchase decision) and the decision of how much to consume (expenditure decision). Data for this study were drawn from the 2000 Korean Household Income and Expenditure Survey. Households were likely to purchase alcoholic beverages with increasing of household income, tobacco expenditures, and household size. The age, sex, marital status, occupation, education level, type of house ownership, residing city were significantly related to the purchase decisions. Among those households which drink, as household income and tobacco expenditures increase, the age, sex (male), marital status (married), and education level of a household-head, house ownership, residing city (Seoul) were positively related to and the presence of young children were negatively related to the expenditure level of alcoholic beverages.

• Journal of the Korean Home Economics Association
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• v.35 no.5
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• pp.265-277
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• 1997

The purpose of this study are to identify the type and the amount of household's individual retirement account for retirement fund and to investigate the factors contributing to a individual pension account holding and an assessment. Data used in this study consisted of 2,667 households from 1994 KHPS. Statistics employed to analyze the data are Mean, Frequency, Percentile, Logistic and OLS. the result of this study were as follows; Among 2,677 households' 426 households(15.9%) owned the individual retirement account. Most household heads with individual retirement fund are the salaried and self-employed. More households with individual retirement account have saving account, stock than those without individual retirement account. Age, occupation of household head, total income, stock ownership had significant effects on whether household having individual retirement account. And Age of household head, net worth, saving account ownership had significant effects on the assessment of individual retirement account holding.

• Journal of the Korean Home Economics Association
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• v.35 no.4
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• pp.1-14
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• 1997

The purpose of this study was to investigate the effects of consumer's status type (status consistency and status inconsistency) on clothing expenditures. Data were obtained from Urban Household Economy Survey published by the National Statistical Office. Multiple regression analyses of variance and Scheffe tests were4 utilized in this study. The effect of the status inconsistency was categorized by three variables such as education occupation and income levels of households. The overprivileged status group which had higher levels of income than the levels of occupation of education spent most on clothing whereas the underprivileged status group which had higher levels of income than the levels of occupation of education spent least on clothing. This study showed that there were significant differences in clothing expenditures among status groups classified by levels of income and education or by levels of income and occupation. Among status group classified by levels of education and income there was a significant difference in clothing expenditures between overprivileged status group and underprivileged status group. In conclusion income has the strongest effect on the clothing expenditures. The results of study can help to understand consumer buying behavior and also give insights of marketing strategy in the apparel industry.

• Journal of Korea Spatial Information System Society
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• v.11 no.3
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• pp.73-78
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• 2009

100 households' survey was carried out in 2007 in Chitwan to foresee the people's livelihood and their insight into the forest conservation. This analysis revealed that households' was mainly survived with multiple livelihood categories where 98% citizens belong to food crops and 92% to livestock husbandry. The households' income shared by agriculture (crop and livestock), forest and remittance was 37% and 20% respectively. Results further showed that income distribution was somehow equal with Gini coefficient 0.25 than with the 0.37 of landholdings size. But, average per capita income of households was lower than the national standard with 33% of households below the poverty thresholds and 0.0945 poverty gap index. Similarly, 85% respondents assured for the current degraded status of forest and 83% of households for not participated in forest management activities due to low awareness in 82% households. These findings shows the forest assets could be unduly degraded in the past and forest availability which is extracting from the remaining forest is also decreasing in the area. Thus, tendency of forest dependency has been shifting to the small scale farming, other livelihood sources such as local business and services. This information could be useful in planning and decision-making process in searching of better alternative for the local livelihood as well as sustainable forest conservation strategy.