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A Study on the Sensitivity of the BLS Methods

BLS 보정 방법의 민감도에 관한 연구

  • Lee, Seok-Jin (Department of Statistics, Hankuk University of Foreign Studies) ;
  • Shin, Key-Il (Department of Statistics, Hankuk University of Foreign Studies)
  • 이석진 (한국외국어대학교 통계학과) ;
  • 신기일 (한국외국어대학교 통계학과)
  • Published : 2008.11.30

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.

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Cited by

  1. Multiple Imputation Reducing Outlier Effect using Weight Adjustment Methods vol.26, pp.4, 2013, https://doi.org/10.5351/KJAS.2013.26.4.635
  2. A Multiple Imputation for Reducing Outlier Effect vol.27, pp.7, 2014, https://doi.org/10.5351/KJAS.2014.27.7.1229