The Effects of Household and Housing Characteristics on the Duration of Residence

Panel survey data basically provide useful information such as movement and status change of households because the same subject is repeatedly investigated by follow-up studies. However, making a history data containing the dynamics of household or individual requires the expertise and compactness in the data management. In this study, we describe the process of building residential history data based on Korean Labor & Income Panel Study(KLIPS) data. It is expected that this history data will be a useful asset for related researchers. In order to examine the completeness and applicability of developed data, we present the estimation results of the survival analysis model of residential duration influenced by the characteristics of household and residence. Empirical evidence from the shared-frailty survival model shows that age and education level of household head, household income, the number of children under high school and the non-metropolitan residence variable yield the positive effect of increasing the residential duration in a specific residence. Meanwhile, the effect of marital status and rental household is negatively associated with the duration. Step-by-step explanation for the building process of residential history data can be used as a guide for reference and practical assistance in creating similar types of historical data.