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http://dx.doi.org/10.5351/CKSS.2008.15.6.843

A Study on the Sensitivity of the BLS Methods  

Lee, Seok-Jin (Department of Statistics, Hankuk University of Foreign Studies)
Shin, Key-Il (Department of Statistics, Hankuk University of Foreign Studies)
Publication Information
Communications for Statistical Applications and Methods / v.15, no.6, 2008 , pp. 843-858 More about this Journal
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;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
1 Rubin, D. B. (1987). Multiple Imputation for Nonresponse in Surveys, John Wiley & Sons, New York
2 신민웅, 이상은 (2001). <표본조사를 위한 표본설계>, 교우사
3 김규성 (2000). 무응답 대체 방법과 대체 효과, <한국조사연구학회>, 1, 1-14
4 이상은 (2008). 표본조사에 따른 추정방법 비교: 가중치 조정기법을 중심으로, <응용통계연구>, 21, 413-427   과학기술학회마을   DOI
5 이진희, 신기일 (2007). 공간-시계열 모형을 이용한 결측대체 방법에 관한 연구, <응용통계연구>, 20, 499-514   과학기술학회마을   DOI
6 Burdete, T. (2003). Survey of Occupational Injuries and Illnesses, Sample Design, Bureau of Labor Statistics
7 Kish, L. (1965). Survey Sampling, John Wiley & Sons, New York
8 Rao, J. N. K. (2003). Small Area Estimation, John Wiley & Sons, New York
9 Little, R. J. A. and Rubin, D. B. (2002). Statistical Analysis with Missing Data, John Wiley & Sons, New Jersey
10 Oh, H. L. and Scheuren, F. (1987). Modi¯ed raking ratio estimation, Survey Methodology, 13, 209-219