지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2015.3
- 수록면
- 181 - 198 (18page)
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초록· 키워드
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This study used Korean Labor and Income Panel Study data to extract 2,607 original households that participated in this survey for 10 years (1998?2008), from which approximately 3,000 non-cohabitants who lived away from their original households at least once were extracted. The study conducted an in-depth analysis of their actual non-cohabitation state and used a statistical model to analyze the period in which they moved out of their original households as well as the influencing factors.
The results of the analysis were as follows. First, the percentage of people living away from their households was less than 10% of family members. With the exception of military service, the biggest reason for non-cohabitation was pursuing studies (28.8%), followed by working in other districts (21.5%) and moving out (21.1%). The average age of non-cohabitants was as follows: military service (age 21.5) → pursuing studies (age 22.7) → working in other districts (age 30.7) → moving out (age 31.1) → raising children (age 32.3) → running away from home (age 33.4) → separation (age 36.7) → death (age 70.5). This displays the common life journey of Koreans relatively well.
Second, the most commonly observed pattern during the 10 years of analysis was “cohabitation → non-cohabitation → cohabitation,” which was adopted by two out of three people. Furthermore, the pattern “cohabitation → moving out” was significantly more common than the pattern “non-cohabitation → moving out.” Third, years passed until moving out of the house were set as the dependent variable in the statistical model. In total, four survivor models consisting of combinations of gender and age were established as the explanatory variables. A comparison of the estimation results of the models showed that they were all suitable as Cox proportional hazard models. However, Model 4 (M4) was the best in that it considered the interactions between gender and age in terms of the AIC value. This implied that in order to clarify the passing of time until a non-cohabitant within the family moves out, it is more desirable to consider the interaction between gender and age rather than to consider the two variables independently. Fourth, based on M4, if males under the age of 10 are set as the standards, the possibility of moving out is eight times higher for teenage women, twice higher for women in their 20s, and three times higher for women in their 50s.
The results of the analysis were as follows. First, the percentage of people living away from their households was less than 10% of family members. With the exception of military service, the biggest reason for non-cohabitation was pursuing studies (28.8%), followed by working in other districts (21.5%) and moving out (21.1%). The average age of non-cohabitants was as follows: military service (age 21.5) → pursuing studies (age 22.7) → working in other districts (age 30.7) → moving out (age 31.1) → raising children (age 32.3) → running away from home (age 33.4) → separation (age 36.7) → death (age 70.5). This displays the common life journey of Koreans relatively well.
Second, the most commonly observed pattern during the 10 years of analysis was “cohabitation → non-cohabitation → cohabitation,” which was adopted by two out of three people. Furthermore, the pattern “cohabitation → moving out” was significantly more common than the pattern “non-cohabitation → moving out.” Third, years passed until moving out of the house were set as the dependent variable in the statistical model. In total, four survivor models consisting of combinations of gender and age were established as the explanatory variables. A comparison of the estimation results of the models showed that they were all suitable as Cox proportional hazard models. However, Model 4 (M4) was the best in that it considered the interactions between gender and age in terms of the AIC value. This implied that in order to clarify the passing of time until a non-cohabitant within the family moves out, it is more desirable to consider the interaction between gender and age rather than to consider the two variables independently. Fourth, based on M4, if males under the age of 10 are set as the standards, the possibility of moving out is eight times higher for teenage women, twice higher for women in their 20s, and three times higher for women in their 50s.
목차
Abstract
Ⅰ. 서론
Ⅱ. 이론적 고찰
Ⅲ. 비동거 실태분석
Ⅳ. 분가에 이르기까지 기간분석
Ⅴ. 결론
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UCI(KEPA) : I410-ECN-0101-2016-595-001301714