• Korean Journal of Human Ecology
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• v.21 no.3
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• pp.611-628
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• 2012

The purpose of this study was to examine influence of home energy cost on housing cost burden of Korean and U.S. monthly renter households in urban areas and to explore influences of household and housing characteristics on their home energy cost burden. Microdata for this research was extracted from the 2011 Korean Household Budget Survey and 2009 American Housing Survey. Monthly renter households in urban areas were initially grouped based on household income, followed by a detailed analysis of housing and home energy cost. Findings are as follows: (1) The maximum ratio of home energy cost to household house hold income in Korea was 49% compared to 83% in the US; (2) Energy cost to income ratio were found to have significant influences on housing cost burden and lower income households' housing cost burden was found more vulnerable to their energy cost; (3) In general, the energy cost burden of low-income renter households in Korea tended to be influenced by household size, the number of household members staying at home during daytime hours and housing unit size. The energy cost burden of low-income renter households in the U.S. tended to be influenced by home structure type, size and age, the householder's age, race, educational attainment, the household size, number of wage earners per household, income, and the number of household members between 7 and 17 years of age.

• Journal of the Korean housing association
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• v.23 no.2
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• pp.125-133
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• 2012

The purpose of this study was to explore characteristics and housing satisfaction of multifamily renter households in metropolitan areas using 2009 American Housing Survey public-use microdata. A total of 8,139 multifamily renter household residing in metropolitan statistical areas were selected for data analysis. The findings are as follows: (1) In comparison with other types of households in the metropolitan areas, multifamily renter households tended to show a smaller household size, younger householders, a greater proportion of households with householders who have never married, or have been widowed, divorced or separated; (2) housing cost related variables such as monthly rent or rent per square footage were found not to have significant influence on housing satisfaction of multifamily renter households in metropolitan areas; (3) factors influencing housing satisfaction of multifamily renter households with householder's age 34 years or younger were neighborhood satisfaction, householder's race, structure age and per-person unit size; and (4) neighborhood satisfaction was found to have the strongest influence on housing satisfaction of multifamily renter households in metropolitan areas.

• Journal of the Korean housing association
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• v.26 no.1
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• pp.71-79
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• 2015

This study was aimed to explore housing costs and housing cost burdens of early-career young renter households in Seoul Metropolitan area. Between March 10 and April 24, 2014, an online questionnaire survey was conducted to young professionals in Seoul Metropolitan area living apart from their parents. Among the responses collected, this study analyzed 476 useable responses from renter households. Major findings were as follows: (1) Jeon-se renters' deposit was average 2.24 times their annual income; deposit of monthly renters with deposit was average 6.7 times their monthly income and their monthly rent was 18.6 percent of their monthly income; and monthly rent of monthly renters without deposit was about 23 percent of their monthly income; (2) thirty percent of the respondents were found to have housing cost burden paying 25 percent or more of their income for rental costs; and (3) about 55 percent received parental supports to pay current housing costs. The study findings implies that it is critical to extend provision of affordable housing units with small or no deposit for beginning-stage professionals.

• International Journal of Human Ecology
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• v.16 no.2
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• pp.21-31
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• 2015

This study explored determinants of family support that young renter households received to afford their housing costs. Microdata set of the 2014 Korea Housing Survey was used as secondary data for the study. Total 1,752,899 households headed by persons between 20 and 34 years of age and whose rental type was either Jeon-se or monthly rental with deposit in private rental units were selected as study subjects. For the data analysis, a series of discriminant analysis was conducted using IBM SPSS 21.0. Major findings were as follows. (1) Among the subjects, 28.2% were found to receive financial support from parents or other relatives. (2) To see the discriminant analysis results, a linear combination of seven household and housing characteristics (householder's gender, whether or not the householder worked in the previous week, whether or not the householders have a spouse, tenure type, structure type, location and deposit amount) could explain 44.6% of variance in young renter households' receipt of family support with a prediction accuracy of 77.2%. (3) To summarize the final discriminant model, Jeon-se renter households in location other than Incheon or Gyeonggi Province living in a unit in structure other than multifamily structure headed by younger householders that did not worked previous week or without spouse; with a greater deposit had the maximum tendency to receive family support to pay rental costs.

• Human Ecology Research
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• v.61 no.3
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• pp.375-387
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• 2023

In research on housing welfare policy, there has been little interest in middle-aged households compared with young or elderly households. The purpose of this study was to explore influences on the housing satisfaction of middle-aged renter households using microdata from the Korea Housing Survey 2021. A statistical analysis of data was performed on a total of 2,709,152 middle-aged (aged between 40 and 64 years) Jeonse (lumpsum housing lease) renters and monthly renters with deposits, living in private rental housing units. The major findings were as follows. Firstly, there were significant differences in housing unit satisfaction and residential environment satisfaction among renter groups by age and rental type. Early-middle-aged Jeonse renters displayed the highest satisfaction with both housing units and the residential environment, while semielderly monthly renters with deposits displayed the lowest satisfaction. Secondly, living in aged structures or in apartment units exerted the strongest influences on housing satisfaction, which implies the need for residential area regeneration programs that consider the situation of rental households. Thirdly, living in Incheon and Gyeonggi-do was found to have a negative influence on housing satisfaction. Fourthly, upward filtering on tenure types or lease renewal of the current house did not necessarily have a positive influence on the housing satisfaction of middle-aged renters. Based on the findings, suggestions were made to improve the housing situation of middle-aged renter households.

• Korea Real Estate Review
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• v.28 no.1
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• pp.65-77
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• 2018

This paper analyzes the redemption risk of renters by estimating the LTV and CoLTV with finance market big data (individual credit information) and housing market big data (actual housing transaction data). The analysis showed that when using LTV, the redemption risk was higher in the case of the monthly renter than of the chonsei renter. On the other hand, when using CoLTV, the chonsei renter had a higher redemption risk than the monthly renter. This implies that there is a need to activate a guarantee system, such as risk management using the CoLTV index and the chonsei deposit return guarantee because it is possible for renters to experience losses on their chonsei deposits due to the higher redemption risk. Another implication is that the risk manager should consider the individual characteristics of renters because of the different effects of the redemption risk stemming from the characteristics of the rental contract and the personal characteristics of the renters. CoLTV was just a concept until this study calculated it using housing big data and actual housing transaction information. It helps identify the redemption risk through the characteristics of renters and their contracts.

• Journal of the Korean housing association
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• v.20 no.4
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• pp.69-78
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• 2009

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.

• Journal of the Korean housing association
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• v.26 no.6
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• pp.43-52
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• 2015

The purpose of this study was to explore housing value clusters of young renters in South Korea and their relationships to household and housing characteristics reflected in the 2012 Korea Housing Survey (KHS). The 2012 KHS microdata was used as secondary data. Among the households included in the microdata, 1,196,144 young renter households (between 20 and 34 years of age) in private rental units were analyzed. The main findings are as follows. Ten rating scale items measured housing values. Eight of them were grouped into three value factors: Investment, Affordability and Cost Increase. Using these three value factors and perception of homeownership, households were classified into four clusters: Prospective Home Investor, Settled Renter, Homeowner Wannabe, and Support Needed. The current tenure types, income and expectation for next tenure types of four housing value clusters of young renters reflected Korea's tenure ladder which has home ownership at top followed by Jeon-se rental, monthly rental with deposit and monthly rental without deposit. The households in Prospective Home Investor and Homeowner Wannabe clusters would consider home purchase in the near future. Finally, households in Support Needed Cluster would be the main target to consider in development and implementation of housing welfare policies and programs to resolve housing problems of young renters, including beginning-stage professionals.

• Journal of the Korean housing association
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• v.28 no.3
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• pp.11-22
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• 2017

This study explored housing situation and expectations of young (age between 20 and 34 years) single-person Jeon-se renters and monthly renters with deposit in relation with their family support and own housing cost burden status. Major findings from the analysis of 1,695,729 households were as follows: (1) Among subjects, 27.4% received family supports to pay their rent deposit, and 39.4% had more 'own housing cost burdens' to have housing costs minus the amount supported by their family be 30% or more of their income. (2) More than 11% were found to be 'more burdened' despite receipt of family supports. (3) Family support status was found to be related to formation of first-time households and tenure changes, while own housing cost burden was found to be related to current housing situation and previous and next housing size changes. (4) Households received family supports showed a greater proportion of first-time households or households experienced tenure upgrades. (5) 'Less burdened' households tended to expect housing size upgrade in their next move more positively. Based on the study findings, it was suggested to extend supply of rental housing and housing subsidy targeting young renters in conjunction with programs to encourage their savings.

• The Journal of the Korea Contents Association
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• v.20 no.3
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• pp.245-253
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• 2020

If the conversion rate of jeonse price to monthly rent is the market interest rate or the landlord's expected return, then the conversion rate of jeonse price to monthly rent in the country should be the same. However, the conversion rate of jeonse price to monthly rent has always been higher than the market interest rate. This study identifies the supply cost components of rental housing as a risk premium in the presence of current housing prices, market interest rates, depreciation costs, holding taxes, and leases, and identifies the relationship between the current housing prices and each factor. Housing rent is expressed as the current price. This overcomes the shortcomings that implicitly assume fluctuations in housing prices or do not include current housing prices in the conversion rate of jeonse price to monthly rent. This study found that the conversion rate of jeonse price to monthly rent is the required rate of return or required rate of renter, not market interest rate, by expressing the supply cost of rental housing as a combination of components. This not only explained the fact that the conversion rate of jeonse price to monthly rent was always higher than the market interest rate, but also explained the regional differences. It also explained why the conversion rate of jeonse price to monthly rent varies by type of housing.