| Title |
A Typology of Housing Perceptions Among Elderly Households Using Latent Class Analysis |
| DOI |
https://doi.org/10.5659/JAIK.2026.42.5.117 |
| Keywords |
Elderly Housing Perceptions; Housing Satisfaction; Latent Class Analysis; Housing Policy |
| Abstract |
Population aging has heightened concerns about the diversity of housing conditions among elderly households, particularly in metropolitan
areas where physical constraints and neighborhood environments interact. Previous studies have largely focused on average effects of
individual housing attributes, limiting the ability to capture complex housing perceptions. This study aims to identify latent typologies of
housing perceptions among elderly households and to examine the determinants of class membership. Using microdata from the 2024 Korean
Housing Survey, the analysis focuses on elderly households in the Seoul Metropolitan Area. Seven indicators reflecting physical housing
conditions and neighborhood environments are employed. A one-step latent class analysis with covariates is applied, enabling the simultaneous
estimation of latent classes and their determinants while accounting for classification uncertainty. Information criteria support a four-class
solution. The results identify four distinct housing perception types, each with unique response probability profiles. Housing type, dwelling
age, homeownership, residential duration, income, and net assets significantly influence class membership, with net assets showing a strong
association with the most stable type. These findings highlight the need for differentiated housing policies tailored to distinct elderly housing
perception types rather than uniform interventions. |