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A Study on the Sensitivity of the BLS Methods
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 Title & Authors
A Study on the Sensitivity of the BLS Methods
Lee, Seok-Jin; Shin, Key-Il;
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 Abstract
BLS adjustment methods have been able to provide more accurate estimates of total and make samples represent population characteristics by post-adjustment of design weights of samples. However, BLS methods use additional data, for instance number of employee, without this information or using other information, give different weight adjustment factors. In this paper we studied the sensitivity of the variables used in BLS adjustment. The 2007 monthly labor survey data is used in analysis.
 Keywords
Sampling survey;weight;non-response adjustment;outlier adjustment;
 Language
Korean
 Cited by
1.
상관관계와 표본 크기에 따른 BLS 무응답 보정의 효율성 비교,김석;신기일;

응용통계연구, 2009. vol.22. 6, pp.1301-1313 crossref(new window)
2.
수정된 BLS 가중치보정법,박정준;조기종;이상은;신기일;

Communications for Statistical Applications and Methods, 2011. vol.18. 3, pp.367-376 crossref(new window)
3.
가중치 보정을 이용한 다중대체법,김진영;신기일;

응용통계연구, 2013. vol.26. 4, pp.635-647 crossref(new window)
4.
이상점 영향력 축소를 통한 무응답 대체법,김만겸;신기일;

응용통계연구, 2014. vol.27. 7, pp.1229-1241 crossref(new window)
1.
A Multiple Imputation for Reducing Outlier Effect, Korean Journal of Applied Statistics, 2014, 27, 7, 1229  crossref(new windwow)
2.
Multiple Imputation Reducing Outlier Effect using Weight Adjustment Methods, Korean Journal of Applied Statistics, 2013, 26, 4, 635  crossref(new windwow)
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