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http://dx.doi.org/10.7465/jkdi.2017.28.6.1257

Investigating spatial clusters of single-person households and low-income elderly single-person using penalized likelihood  

Song, Eunjung (Department of Statistics, Inha University)
Lee, Woojoo (Department of Statistics, Inha University)
Publication Information
Journal of the Korean Data and Information Science Society / v.28, no.6, 2017 , pp. 1257-1260 More about this Journal
Abstract
Single-person households recently have been rapidly increasing and one reason may be the increment in elderly single-person. Since the change of living patterns is relevant to the government policy direction, it is important to understand how single-person households are clustered and which factors have influence on them. In this study, we tried to detect spatial clusters of single-person households and low-income elderly single-person households after adjusting for deprivation index. A recently developed fused lasso for Poisson data was used for data analysis and we provided the details on how to use it in R. From these analysis results, we observed the effect of socioeconomic level on the clusters and explained the reason why spatial clusters are shown after adjusting for deprivation index.
Keywords
Elderly single-person households; fused lasso; penalized likelihood; single-person households; spatial clustering;
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Times Cited By KSCI : 4  (Citation Analysis)
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