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http://dx.doi.org/10.5351/KJAS.2009.22.6.1301

A Study on the Efficiency of the BLS Nonresponse Adjustment According to the Correlation and Sample Size  

Kim, Seok (Department of statistics, Hankuk University of Foreign Studies)
Shin, Key-Il (Department of statistics, Hankuk University of Foreign Studies)
Publication Information
The Korean Journal of Applied Statistics / v.22, no.6, 2009 , pp. 1301-1313 More about this Journal
Abstract
Efficiency and sensitivity of BLS adjustment method have been studied and the method is known to provide more accurate estimate of total by using properly adjusted weights of samples. However, BLS methods provide different efficiencies according to the magnitudes of correlation coefficients and the sizes of samples in strata. In this paper we study the efficiency of the BLS adjustment according to the sample sizes and correlations in strata. For this study, 2007 monthly labor survey data is used.
Keywords
Sampling survey; weight; non-response adjustment; outlier adjustment;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 Oh, H. L. and Scheuren, F. (1987). Modified raking estimation, Survey Methodology, 13, 209-219
2 Rao, J. N. K. (2003). Small Area Estimation, John Wiley & Sons, New York
3 김규성 (2000). 무응답대체방법과 대체효과, <조사연구>, 1, 1-14
4 김호진, 류정진, 장영석, 류기섭 (2008). <제1차 장애인고용패널조사>, 한국장애인고용촉진공단, 고용개발원
5 신민웅, 이상은 (2001). <표본조사를 위한 표본설계>, 교우사
6 이석진, 신기일 (2008). BLS 보정방법의 민감도에 관한 연구, <한국통계학회논문집>, 15, 843-858   DOI
7 Burdete, T. (2003). Survey of Occupational Injuries and Illnesses, Sample Design, Bureau of Labor Statistics, manuscript
8 Little, R. J. A. and Rubin, D. B. (1987). Multiple Imputation for Nonresponse in Surveys, 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